{"id":2804,"date":"2015-06-24T01:38:26","date_gmt":"2015-06-23T23:38:26","guid":{"rendered":"http:\/\/dataminingsoccer.com\/en\/?page_id=2804"},"modified":"2015-06-24T01:38:26","modified_gmt":"2015-06-23T23:38:26","slug":"ligue-1-2015-2016","status":"publish","type":"page","link":"http:\/\/dataminingsoccer.com\/en\/france\/predictions-ligue-1\/ligue-1-2015-2016\/","title":{"rendered":"Ligue 1 2015\/16"},"content":{"rendered":"

Football Result Predictions using Data Mining<\/h2>

Data mining software used: [Data.Mining.Fox\u00ae (DMF) by Easy.Data.Mining\u2122]<\/a>
Please be aware of our [liability disclaimer]<\/a> regarding the following predictions.<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Final tables: Ligue 1 2015\/16<\/p>\n

Total table:
\"Paris<\/a> \"Lyon\"<\/a> \"Monaco\"<\/a> \"Nice\"<\/a> \"Lille\"<\/a> \"St.Etienne\"<\/a> \"Caen\"<\/a> \"Rennes\"<\/a> \"Angers\"<\/a> \"Bastia\"<\/a> \"Bordeaux\"<\/a> \"Montpellier\"<\/a> \"Marseille\"<\/a> \"Nantes\"<\/a> \"Lorient\"<\/a> \"Guingamp\"<\/a> \"Toulouse\"<\/a> \"Reims\"<\/a> \"GFC<\/a> \"Troyes\"<\/a><\/p>\n

Home table:
\"Paris<\/a> \"Lyon\"<\/a> \"Nice\"<\/a> \"Monaco\"<\/a> \"Bastia\"<\/a> \"St.Etienne\"<\/a> \"Lille\"<\/a> \"Bordeaux\"<\/a> \"Caen\"<\/a> \"Nantes\"<\/a> \"Lorient\"<\/a> \"Montpellier\"<\/a> \"Reims\"<\/a> \"Angers\"<\/a> \"Toulouse\"<\/a> \"Guingamp\"<\/a> \"Rennes\"<\/a> \"GFC<\/a> \"Marseille\"<\/a> \"Troyes\"<\/a><\/p>\n

Away table:
\"Paris<\/a> \"Monaco\"<\/a> \"Marseille\"<\/a> \"Lille\"<\/a> \"Rennes\"<\/a> \"Nice\"<\/a> \"Lyon\"<\/a> \"Angers\"<\/a> \"St.Etienne\"<\/a> \"Caen\"<\/a> \"Montpellier\"<\/a> \"Nantes\"<\/a> \"Guingamp\"<\/a> \"Bordeaux\"<\/a> \"Lorient\"<\/a> \"GFC<\/a> \"Bastia\"<\/a> \"Toulouse\"<\/a> \"Reims\"<\/a> \"Troyes\"<\/a><\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/a><\/p>\n

Matchday 38<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2016-05-14:<\/td>\nAngers<\/td>\n–<\/td>\nToulouse<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 27%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2016-05-14:<\/td>\nMonaco<\/b><\/td>\n–<\/td>\nMontpellier<\/b><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 53%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-05-14:<\/td>\nSt.Etienne<\/td>\n–<\/td>\nLille<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 42%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-05-14:<\/td>\nGuingamp<\/b><\/td>\n–<\/td>\nNice<\/b><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n@ 46%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2016-05-14:<\/td>\nTroyes<\/td>\n–<\/td>\nMarseille<\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n@ 52%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-05-14:<\/td>\nLorient<\/td>\n–<\/td>\nGFC Ajaccio<\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n@ 39%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-05-14:<\/td>\nParis St.G.<\/b><\/td>\n–<\/td>\nNantes<\/b><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 64%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-05-14:<\/td>\nCaen<\/td>\n–<\/td>\nBordeaux<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 37%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-05-14:<\/td>\nReims<\/td>\n–<\/td>\nLyon<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 33%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-05-14:<\/td>\nRennes<\/td>\n–<\/td>\nBastia<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 29%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 38<\/b>: 3 out of 10 \/ 30%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 173 out of 380 \/ 46%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

Check here for the entire list of [statistics by team]<\/a> so far, and here for the [hit rates by various prediction categories]<\/a>.<\/p>\n

* DMSC (Data.Mining.Soccer-Confidence)<\/b> is a percentage of statistical confidence which provides insight about the statistical validity of a prediction. For more information about this artificial hybrid ratio check our section [Our analysis]<\/a>.<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 37<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2016-05-07:<\/td>\nGFC Ajaccio<\/b><\/td>\n–<\/td>\nParis St.G.<\/b><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n@ 55%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n4<\/td>\n<\/tr>\n
2016-05-07:<\/td>\nBastia<\/td>\n–<\/td>\nAngers<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 34%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-05-07:<\/td>\nBordeaux<\/td>\n–<\/td>\nLorient<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 31%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-05-07:<\/td>\nLille<\/td>\n–<\/td>\nGuingamp<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 57%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-05-07:<\/td>\nLyon<\/b><\/td>\n–<\/td>\nMonaco<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 49%<\/td>\n>>><\/td>\n6<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-05-07:<\/td>\nMarseille<\/b><\/td>\n–<\/td>\nReims<\/b><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 53%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-05-07:<\/td>\nMontpellier<\/td>\n–<\/td>\nRennes<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 37%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-05-07:<\/td>\nNantes<\/td>\n–<\/td>\nCaen<\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n@ 38%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-05-07:<\/td>\nNice<\/td>\n–<\/td>\nSt.Etienne<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 35%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-05-07:<\/td>\nToulouse<\/b><\/td>\n–<\/td>\nTroyes<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 56%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 37<\/b>: 4 out of 10 \/ 40%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 170 out of 370 \/ 46%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 36<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2016-04-29:<\/td>\nParis St.G.<\/b><\/td>\n–<\/td>\nRennes<\/b><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 57%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-04-30:<\/td>\nNantes<\/td>\n–<\/td>\nNice<\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n@ 45%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-04-30:<\/td>\nSt.Etienne<\/td>\n–<\/td>\nToulouse<\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 58%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-04-30:<\/td>\nMonaco<\/b><\/td>\n–<\/td>\nGuingamp<\/b><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 53%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-04-30:<\/td>\nTroyes<\/td>\n–<\/td>\nBordeaux<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 32%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n4<\/td>\n<\/tr>\n
2016-04-30:<\/td>\nLorient<\/b><\/td>\n–<\/td>\nLille<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 42%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-04-30:<\/td>\nCaen<\/td>\n–<\/td>\nBastia<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 43%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-04-30:<\/td>\nReims<\/td>\n–<\/td>\nMontpellier<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 35%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2016-04-30:<\/td>\nLyon<\/b><\/td>\n–<\/td>\nGFC Ajaccio<\/b><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 57%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-05-01:<\/td>\nAngers<\/b><\/td>\n–<\/td>\nMarseille<\/b><\/td>\n0<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 34%<\/td>\n>>><\/td>\n0<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 36<\/b>: 5 out of 10 \/ 50%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 166 out of 360 \/ 46%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 35<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2016-04-22:<\/td>\nNice<\/b><\/td>\n–<\/td>\nReims<\/b><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 49%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-04-23:<\/td>\nToulouse<\/b><\/td>\n–<\/td>\nLyon<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 41%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2016-04-24:<\/td>\nMarseille<\/td>\n–<\/td>\nNantes<\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 49%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-04-24:<\/td>\nSt.Etienne<\/b><\/td>\n–<\/td>\nLorient<\/b><\/td>\n2<\/b><\/td>\n–<\/td>\n0<\/b><\/td>\n@ 57%<\/td>\n>>><\/td>\n2<\/b><\/td>\n–<\/td>\n0<\/b><\/td>\n<\/tr>\n
2016-04-24:<\/td>\nGuingamp<\/td>\n–<\/td>\nCaen<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 47%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-04-24:<\/td>\nGFC Ajaccio<\/td>\n–<\/td>\nBastia<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 30%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-04-24:<\/td>\nMontpellier<\/b><\/td>\n–<\/td>\nTroyes<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 54%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-04-24:<\/td>\nRennes<\/b><\/td>\n–<\/td>\nMonaco<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 34%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2016-04-27:<\/td>\nLille<\/td>\n–<\/td>\nAngers<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 45%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-05-11:<\/td>\nBordeaux<\/td>\n–<\/td>\nParis St.G.<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 52%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 35<\/b>: 5 out of 10 \/ 50%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 161 out of 350 \/ 46%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 34<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2016-04-15:<\/td>\nLyon<\/td>\n–<\/td>\nNice<\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 57%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-04-16:<\/td>\nParis St.G.<\/b><\/td>\n–<\/td>\nCaen<\/b><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 62%<\/td>\n>>><\/td>\n6<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-04-16:<\/td>\nTroyes<\/td>\n–<\/td>\nReims<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 50%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-04-16:<\/td>\nBordeaux<\/td>\n–<\/td>\nAngers<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 37%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2016-04-16:<\/td>\nLorient<\/b><\/td>\n–<\/td>\nToulouse<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 37%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2016-04-16:<\/td>\nGFC Ajaccio<\/b><\/td>\n–<\/td>\nLille<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 47%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n4<\/td>\n<\/tr>\n
2016-04-16:<\/td>\nBastia<\/b><\/td>\n–<\/td>\nSt.Etienne<\/b><\/td>\n0<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 49%<\/td>\n>>><\/td>\n0<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2016-04-17:<\/td>\nNantes<\/td>\n–<\/td>\nMontpellier<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 39%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-04-17:<\/td>\nRennes<\/td>\n–<\/td>\nGuingamp<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 46%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2016-04-17:<\/td>\nMonaco<\/b><\/td>\n–<\/td>\nMarseille<\/b><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 45%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 34<\/b>: 5 out of 10 \/ 50%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 156 out of 340 \/ 46%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 33<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2016-04-09:<\/td>\nMontpellier<\/b><\/td>\n–<\/td>\nLyon<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 52%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-04-09:<\/td>\nGuingamp<\/b><\/td>\n–<\/td>\nParis St.G.<\/b><\/td>\n0<\/b><\/td>\n–<\/td>\n2<\/b><\/td>\n@ 53%<\/td>\n>>><\/td>\n0<\/b><\/td>\n–<\/td>\n2<\/b><\/td>\n<\/tr>\n
2016-04-09:<\/td>\nAngers<\/td>\n–<\/td>\nGFC Ajaccio<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 48%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-04-09:<\/td>\nSt.Etienne<\/b><\/td>\n–<\/td>\nTroyes<\/b><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 64%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-04-09:<\/td>\nCaen<\/td>\n–<\/td>\nLorient<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 44%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-04-09:<\/td>\nReims<\/td>\n–<\/td>\nNantes<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 37%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-04-09:<\/td>\nToulouse<\/b><\/td>\n–<\/td>\nBastia<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 43%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-04-09:<\/td>\nLille<\/td>\n–<\/td>\nMonaco<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 25%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-04-09:<\/td>\nNice<\/td>\n–<\/td>\nRennes<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 26%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-04-09:<\/td>\nMarseille<\/td>\n–<\/td>\nBordeaux<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 41%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 33<\/b>: 4 out of 10 \/ 40%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 151 out of 330 \/ 46%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 32<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2016-04-02:<\/td>\nMonaco<\/td>\n–<\/td>\nBordeaux<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 53%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-04-03:<\/td>\nLorient<\/b><\/td>\n–<\/td>\nLyon<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 48%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2016-04-03:<\/td>\nNantes<\/b><\/td>\n–<\/td>\nLille<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 42%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2016-04-02:<\/td>\nGFC Ajaccio<\/b><\/td>\n–<\/td>\nSt.Etienne<\/b><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n@ 46%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-04-02:<\/td>\nParis St.G.<\/b><\/td>\n–<\/td>\nNice<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 54%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-04-03:<\/td>\nBastia<\/td>\n–<\/td>\nMarseille<\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n@ 41%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-04-02:<\/td>\nGuingamp<\/td>\n–<\/td>\nMontpellier<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 44%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-04-02:<\/td>\nTroyes<\/b><\/td>\n–<\/td>\nAngers<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 45%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-04-02:<\/td>\nRennes<\/b><\/td>\n–<\/td>\nReims<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 48%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-04-02:<\/td>\nToulouse<\/b><\/td>\n–<\/td>\nCaen<\/b><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 41%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 32<\/b>: 7 out of 10 \/ 70%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 147 out of 320 \/ 46%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 31<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2016-03-18:<\/td>\nMarseille<\/td>\n–<\/td>\nRennes<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 42%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n5<\/td>\n<\/tr>\n
2016-03-19:<\/td>\nSt.Etienne<\/b><\/td>\n–<\/td>\nMontpellier<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 48%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-03-19:<\/td>\nAngers<\/td>\n–<\/td>\nLorient<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 40%<\/td>\n>>><\/td>\n5<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-03-19:<\/td>\nLille<\/b><\/td>\n–<\/td>\nToulouse<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n0<\/b><\/td>\n@ 45%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n0<\/b><\/td>\n<\/tr>\n
2016-03-19:<\/td>\nCaen<\/b><\/td>\n–<\/td>\nTroyes<\/b><\/td>\n2<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 52%<\/td>\n>>><\/td>\n2<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2016-03-19:<\/td>\nReims<\/td>\n–<\/td>\nGuingamp<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 40%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-03-19:<\/td>\nLyon<\/b><\/td>\n–<\/td>\nNantes<\/b><\/td>\n2<\/b><\/td>\n–<\/td>\n0<\/b><\/td>\n@ 55%<\/td>\n>>><\/td>\n2<\/b><\/td>\n–<\/td>\n0<\/b><\/td>\n<\/tr>\n
2016-03-20:<\/td>\nBordeaux<\/td>\n–<\/td>\nBastia<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 46%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-03-20:<\/td>\nNice<\/b><\/td>\n–<\/td>\nGFC Ajaccio<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 49%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-03-20:<\/td>\nParis St.G.<\/td>\n–<\/td>\nMonaco<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 58%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 31<\/b>: 5 out of 10 \/ 50%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 140 out of 310 \/ 45%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 30<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2016-03-11:<\/td>\nMonaco<\/td>\n–<\/td>\nReims<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 60%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-03-12:<\/td>\nLorient<\/td>\n–<\/td>\nMarseille<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 44%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-03-12:<\/td>\nGuingamp<\/td>\n–<\/td>\nSt.Etienne<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 48%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-03-12:<\/td>\nGFC Ajaccio<\/td>\n–<\/td>\nCaen<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 30%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-03-12:<\/td>\nMontpellier<\/td>\n–<\/td>\nNice<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 41%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-03-12:<\/td>\nBastia<\/td>\n–<\/td>\nLille<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 27%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-03-12:<\/td>\nToulouse<\/td>\n–<\/td>\nBordeaux<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 36%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-03-13:<\/td>\nTroyes<\/b><\/td>\n–<\/td>\nParis St.G.<\/b><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n@ 58%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n9<\/td>\n<\/tr>\n
2016-03-13:<\/td>\nNantes<\/b><\/td>\n–<\/td>\nAngers<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 43%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-03-13:<\/td>\nRennes<\/b><\/td>\n–<\/td>\nLyon<\/b><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 35%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 30<\/b>: 3 out of 10 \/ 30%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 135 out of 300 \/ 45%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 29<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2016-03-04:<\/td>\nCaen<\/td>\n–<\/td>\nMonaco<\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n@ 47%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-03-05:<\/td>\nParis St.G.<\/td>\n–<\/td>\nMontpellier<\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 57%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-03-05:<\/td>\nAngers<\/td>\n–<\/td>\nSt.Etienne<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 37%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-03-05:<\/td>\nBordeaux<\/td>\n–<\/td>\nGFC Ajaccio<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 46%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-03-05:<\/td>\nLille<\/b><\/td>\n–<\/td>\nReims<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 40%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-03-05:<\/td>\nNice<\/b><\/td>\n–<\/td>\nTroyes<\/b><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 51%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-03-05:<\/td>\nBastia<\/td>\n–<\/td>\nLorient<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 41%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-03-06:<\/td>\nMarseille<\/td>\n–<\/td>\nToulouse<\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 53%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-03-06:<\/td>\nRennes<\/b><\/td>\n–<\/td>\nNantes<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 44%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-03-06:<\/td>\nLyon<\/b><\/td>\n–<\/td>\nGuingamp<\/b><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 58%<\/td>\n>>><\/td>\n5<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 29<\/b>: 4 out of 10 \/ 40%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 132 out of 290 \/ 46%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 28<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2016-02-26:<\/td>\nNice<\/td>\n–<\/td>\nBastia<\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 48%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-02-27:<\/td>\nMontpellier<\/td>\n–<\/td>\nLille<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 34%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-02-27:<\/td>\nGuingamp<\/td>\n–<\/td>\nAngers<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 42%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-02-27:<\/td>\nTroyes<\/b><\/td>\n–<\/td>\nLorient<\/b><\/td>\n0<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 47%<\/td>\n>>><\/td>\n0<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2016-02-27:<\/td>\nReims<\/td>\n–<\/td>\nBordeaux<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 33%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-02-27:<\/td>\nToulouse<\/td>\n–<\/td>\nRennes<\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n@ 25%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-02-28:<\/td>\nNantes<\/td>\n–<\/td>\nMonaco<\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n@ 45%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-02-28:<\/td>\nSt.Etienne<\/td>\n–<\/td>\nCaen<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 51%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-02-28:<\/td>\nGFC Ajaccio<\/td>\n–<\/td>\nMarseille<\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n@ 46%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-02-28:<\/td>\nLyon<\/td>\n–<\/td>\nParis St.G.<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 56%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 28<\/b>: 1 out of 10 \/ 10%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 128 out of 280 \/ 46%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 27<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2016-02-19:<\/td>\nBordeaux<\/td>\n–<\/td>\nNice<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 43%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-02-20:<\/td>\nParis St.G.<\/b><\/td>\n–<\/td>\nReims<\/b><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 64%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-02-20:<\/td>\nAngers<\/td>\n–<\/td>\nMontpellier<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 31%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2016-02-20:<\/td>\nMonaco<\/b><\/td>\n–<\/td>\nTroyes<\/b><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 58%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-02-20:<\/td>\nLorient<\/td>\n–<\/td>\nGuingamp<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 34%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2016-03-09:<\/td>\nBastia<\/b><\/td>\n–<\/td>\nNantes<\/b><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 38%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-02-20:<\/td>\nToulouse<\/td>\n–<\/td>\nGFC Ajaccio<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 43%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-02-21:<\/td>\nMarseille<\/b><\/td>\n–<\/td>\nSt.Etienne<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 37%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2016-02-21:<\/td>\nCaen<\/td>\n–<\/td>\nRennes<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 21%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-02-21:<\/td>\nLille<\/td>\n–<\/td>\nLyon<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 32%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 27<\/b>: 4 out of 10 \/ 40%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 127 out of 270 \/ 47%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 26<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2016-02-12:<\/td>\nRennes<\/b><\/td>\n–<\/td>\nAngers<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 47%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-02-13:<\/td>\nParis St.G.<\/td>\n–<\/td>\nLille<\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 62%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-02-13:<\/td>\nGuingamp<\/td>\n–<\/td>\nBordeaux<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 45%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n4<\/td>\n<\/tr>\n
2016-02-13:<\/td>\nGFC Ajaccio<\/td>\n–<\/td>\nTroyes<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 54%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2016-02-13:<\/td>\nNantes<\/b><\/td>\n–<\/td>\nLorient<\/b><\/td>\n2<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 47%<\/td>\n>>><\/td>\n2<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2016-02-13:<\/td>\nMontpellier<\/b><\/td>\n–<\/td>\nToulouse<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 44%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-02-13:<\/td>\nReims<\/td>\n–<\/td>\nBastia<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 50%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-02-14:<\/td>\nLyon<\/b><\/td>\n–<\/td>\nCaen<\/b><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 58%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-02-14:<\/td>\nSt.Etienne<\/b><\/td>\n–<\/td>\nMonaco<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 37%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2016-02-14:<\/td>\nNice<\/td>\n–<\/td>\nMarseille<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 42%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 26<\/b>: 5 out of 10 \/ 50%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 123 out of 260 \/ 47%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 25<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2016-02-06:<\/td>\nMonaco<\/b><\/td>\n–<\/td>\nNice<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n0<\/b><\/td>\n@ 52%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n0<\/b><\/td>\n<\/tr>\n
2016-02-06:<\/td>\nAngers<\/td>\n–<\/td>\nLyon<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 30%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2016-02-06:<\/td>\nLorient<\/b><\/td>\n–<\/td>\nMontpellier<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 38%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2016-02-06:<\/td>\nGFC Ajaccio<\/b><\/td>\n–<\/td>\nGuingamp<\/b><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 37%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-02-06:<\/td>\nBastia<\/b><\/td>\n–<\/td>\nTroyes<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 50%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-02-06:<\/td>\nCaen<\/td>\n–<\/td>\nReims<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 45%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-02-06:<\/td>\nToulouse<\/b><\/td>\n–<\/td>\nNantes<\/b><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 28%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-02-07:<\/td>\nLille<\/td>\n–<\/td>\nRennes<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 42%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-02-07:<\/td>\nBordeaux<\/td>\n–<\/td>\nSt.Etienne<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 42%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n4<\/td>\n<\/tr>\n
2016-02-07:<\/td>\nMarseille<\/b><\/td>\n–<\/td>\nParis St.G.<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n2<\/b><\/td>\n@ 53%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n2<\/b><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 25<\/b>: 6 out of 10 \/ 60%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 118 out of 250 \/ 47%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 24<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2016-02-02:<\/td>\nMonaco<\/b><\/td>\n–<\/td>\nBastia<\/b><\/td>\n2<\/b><\/td>\n–<\/td>\n0<\/b><\/td>\n@ 57%<\/td>\n>>><\/td>\n2<\/b><\/td>\n–<\/td>\n0<\/b><\/td>\n<\/tr>\n
2016-02-02:<\/td>\nMontpellier<\/b><\/td>\n–<\/td>\nMarseille<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 46%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-02-03:<\/td>\nGuingamp<\/b><\/td>\n–<\/td>\nTroyes<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 54%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-02-03:<\/td>\nNantes<\/b><\/td>\n–<\/td>\nGFC Ajaccio<\/b><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 47%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-02-03:<\/td>\nLille<\/td>\n–<\/td>\nCaen<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 34%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-02-03:<\/td>\nNice<\/b><\/td>\n–<\/td>\nToulouse<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 48%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-02-03:<\/td>\nLyon<\/b><\/td>\n–<\/td>\nBordeaux<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 47%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-02-03:<\/td>\nReims<\/td>\n–<\/td>\nAngers<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 30%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-02-03:<\/td>\nParis St.G.<\/b><\/td>\n–<\/td>\nLorient<\/b><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 64%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-02-04:<\/td>\nRennes<\/td>\n–<\/td>\nSt.Etienne<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 42%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 24<\/b>: 7 out of 10 \/ 70%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 112 out of 240 \/ 47%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 23<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2016-01-29:<\/td>\nMarseille<\/td>\n–<\/td>\nLille<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 48%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-01-30:<\/td>\nAngers<\/td>\n–<\/td>\nMonaco<\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n@ 45%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-01-30:<\/td>\nTroyes<\/td>\n–<\/td>\nNantes<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 32%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-01-30:<\/td>\nLorient<\/b><\/td>\n–<\/td>\nReims<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 38%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-01-30:<\/td>\nGFC Ajaccio<\/td>\n–<\/td>\nMontpellier<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 45%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n4<\/td>\n<\/tr>\n
2016-01-30:<\/td>\nBastia<\/td>\n–<\/td>\nLyon<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 31%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-01-30:<\/td>\nToulouse<\/td>\n–<\/td>\nGuingamp<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 32%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-01-31:<\/td>\nCaen<\/td>\n–<\/td>\nNice<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 25%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-01-31:<\/td>\nBordeaux<\/td>\n–<\/td>\nRennes<\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n@ 31%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-01-31:<\/td>\nSt.Etienne<\/b><\/td>\n–<\/td>\nParis St.G.<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 55%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 23<\/b>: 2 out of 10 \/ 20%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 105 out of 230 \/ 46%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 22<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2016-01-22:<\/td>\nRennes<\/b><\/td>\n–<\/td>\nGFC Ajaccio<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 46%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-01-23:<\/td>\nParis St.G.<\/b><\/td>\n–<\/td>\nAngers<\/b><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 65%<\/td>\n>>><\/td>\n5<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-01-23:<\/td>\nGuingamp<\/b><\/td>\n–<\/td>\nBastia<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 45%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-01-23:<\/td>\nNantes<\/b><\/td>\n–<\/td>\nBordeaux<\/b><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 26%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-01-23:<\/td>\nLille<\/td>\n–<\/td>\nTroyes<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 52%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2016-01-23:<\/td>\nMontpellier<\/td>\n–<\/td>\nCaen<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 43%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-01-23:<\/td>\nNice<\/b><\/td>\n–<\/td>\nLorient<\/b><\/td>\n2<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 51%<\/td>\n>>><\/td>\n2<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2016-01-24:<\/td>\nMonaco<\/b><\/td>\n–<\/td>\nToulouse<\/b><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 59%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-01-24:<\/td>\nReims<\/td>\n–<\/td>\nSt.Etienne<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 45%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-01-24:<\/td>\nLyon<\/b><\/td>\n–<\/td>\nMarseille<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 37%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 22<\/b>: 7 out of 10 \/ 70%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 103 out of 220 \/ 47%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 21<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2016-01-15:<\/td>\nNice<\/td>\n–<\/td>\nAngers<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 27%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-01-16:<\/td>\nToulouse<\/b><\/td>\n–<\/td>\nParis St.G.<\/b><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n@ 63%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-01-16:<\/td>\nGuingamp<\/b><\/td>\n–<\/td>\nNantes<\/b><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 31%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-01-16:<\/td>\nTroyes<\/b><\/td>\n–<\/td>\nRennes<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 52%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n4<\/td>\n<\/tr>\n
2016-01-16:<\/td>\nBordeaux<\/b><\/td>\n–<\/td>\nLille<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 38%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-01-16:<\/td>\nGFC Ajaccio<\/td>\n–<\/td>\nReims<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 50%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-01-16:<\/td>\nBastia<\/b><\/td>\n–<\/td>\nMontpellier<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 43%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-01-17:<\/td>\nLorient<\/b><\/td>\n–<\/td>\nMonaco<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 46%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-01-17:<\/td>\nCaen<\/b><\/td>\n–<\/td>\nMarseille<\/b><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n@ 47%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2016-01-17:<\/td>\nSt.Etienne<\/b><\/td>\n–<\/td>\nLyon<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 46%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 21<\/b>: 8 out of 10 \/ 80%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 96 out of 210 \/ 46%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 20<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2016-01-08:<\/td>\nParis St.G.<\/b><\/td>\n–<\/td>\nBastia<\/b><\/td>\n2<\/b><\/td>\n–<\/td>\n0<\/b><\/td>\n@ 70%<\/td>\n>>><\/td>\n2<\/b><\/td>\n–<\/td>\n0<\/b><\/td>\n<\/tr>\n
2016-01-09:<\/td>\nLyon<\/b><\/td>\n–<\/td>\nTroyes<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 59%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-01-09:<\/td>\nAngers<\/b><\/td>\n–<\/td>\nCaen<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 36%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2016-01-09:<\/td>\nMonaco<\/td>\n–<\/td>\nGFC Ajaccio<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 57%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-01-09:<\/td>\nMontpellier<\/td>\n–<\/td>\nBordeaux<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 42%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-01-09:<\/td>\nReims<\/td>\n–<\/td>\nToulouse<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 30%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2016-01-09:<\/td>\nRennes<\/td>\n–<\/td>\nLorient<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 43%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2016-01-10:<\/td>\nNantes<\/td>\n–<\/td>\nSt.Etienne<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 43%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-01-10:<\/td>\nLille<\/td>\n–<\/td>\nNice<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 44%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2016-01-10:<\/td>\nMarseille<\/td>\n–<\/td>\nGuingamp<\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 61%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 20<\/b>: 3 out of 10 \/ 30%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 88 out of 200 \/ 44%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 19<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2015-12-18:<\/td>\nNice<\/b><\/td>\n–<\/td>\nMontpellier<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 39%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-12-19:<\/td>\nCaen<\/b><\/td>\n–<\/td>\nParis St.G.<\/b><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n@ 54%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2015-12-19:<\/td>\nGuingamp<\/b><\/td>\n–<\/td>\nRennes<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 44%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-12-19:<\/td>\nTroyes<\/td>\n–<\/td>\nMonaco<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 54%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-12-19:<\/td>\nLorient<\/td>\n–<\/td>\nNantes<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 43%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-12-19:<\/td>\nBastia<\/td>\n–<\/td>\nReims<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 37%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-12-19:<\/td>\nToulouse<\/b><\/td>\n–<\/td>\nLille<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 32%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2015-12-20:<\/td>\nSt.Etienne<\/td>\n–<\/td>\nAngers<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 33%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-12-20:<\/td>\nGFC Ajaccio<\/td>\n–<\/td>\nLyon<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 33%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-12-20:<\/td>\nBordeaux<\/td>\n–<\/td>\nMarseille<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 43%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 19<\/b>: 4 out of 10 \/ 40%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 85 out of 190 \/ 45%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 18<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2015-12-11:<\/td>\nRennes<\/b><\/td>\n–<\/td>\nCaen<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 24%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2015-12-12:<\/td>\nReims<\/b><\/td>\n–<\/td>\nNice<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 28%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2015-12-12:<\/td>\nTroyes<\/b><\/td>\n–<\/td>\nBastia<\/b><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n@ 39%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-12-12:<\/td>\nNantes<\/td>\n–<\/td>\nToulouse<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 43%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-12-12:<\/td>\nLille<\/td>\n–<\/td>\nLorient<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 29%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-12-12:<\/td>\nMontpellier<\/b><\/td>\n–<\/td>\nGuingamp<\/b><\/td>\n2<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 49%<\/td>\n>>><\/td>\n2<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2015-12-13:<\/td>\nMonaco<\/b><\/td>\n–<\/td>\nSt.Etienne<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 53%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-12-13:<\/td>\nAngers<\/td>\n–<\/td>\nBordeaux<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 41%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-12-13:<\/td>\nMarseille<\/b><\/td>\n–<\/td>\nGFC Ajaccio<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 30%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2015-12-13:<\/td>\nParis St.G.<\/b><\/td>\n–<\/td>\nLyon<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 61%<\/td>\n>>><\/td>\n5<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 18<\/b>: 7 out of 10 \/ 70%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 81 out of 180 \/ 45%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 17<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2015-12-04:<\/td>\nNice<\/b><\/td>\n–<\/td>\nParis St.G.<\/b><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n@ 59%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2015-12-05:<\/td>\nLyon<\/td>\n–<\/td>\nAngers<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 49%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-12-05:<\/td>\nGFC Ajaccio<\/td>\n–<\/td>\nNantes<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 46%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-12-05:<\/td>\nBastia<\/b><\/td>\n–<\/td>\nMonaco<\/b><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n@ 45%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-12-05:<\/td>\nCaen<\/td>\n–<\/td>\nLille<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 40%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-12-05:<\/td>\nReims<\/td>\n–<\/td>\nTroyes<\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 60%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-12-05:<\/td>\nToulouse<\/td>\n–<\/td>\nLorient<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 43%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2015-12-06:<\/td>\nMarseille<\/td>\n–<\/td>\nMontpellier<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 55%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-12-06:<\/td>\nBordeaux<\/b><\/td>\n–<\/td>\nGuingamp<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 46%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-12-06:<\/td>\nSt.Etienne<\/td>\n–<\/td>\nRennes<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 49%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 17<\/b>: 3 out of 10 \/ 30%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 74 out of 170 \/ 44%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 16<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2015-12-01:<\/td>\nAngers<\/td>\n–<\/td>\nParis St.G.<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 61%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-12-01:<\/td>\nLorient<\/b><\/td>\n–<\/td>\nNice<\/b><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 31%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-12-01:<\/td>\nNantes<\/td>\n–<\/td>\nLyon<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 48%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-12-02:<\/td>\nMonaco<\/b><\/td>\n–<\/td>\nCaen<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 24%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2015-12-02:<\/td>\nGuingamp<\/td>\n–<\/td>\nReims<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 48%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-12-02:<\/td>\nTroyes<\/td>\n–<\/td>\nToulouse<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 33%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2015-12-02:<\/td>\nMontpellier<\/td>\n–<\/td>\nGFC Ajaccio<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 53%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-12-02:<\/td>\nBastia<\/td>\n–<\/td>\nBordeaux<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 29%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-12-02:<\/td>\nLille<\/td>\n–<\/td>\nSt.Etienne<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 29%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-12-03:<\/td>\nRennes<\/b><\/td>\n–<\/td>\nMarseille<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 39%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 16<\/b>: 3 out of 10 \/ 30%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 71 out of 160 \/ 44%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 15<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2015-11-27:<\/td>\nLyon<\/td>\n–<\/td>\nMontpellier<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 58%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n4<\/td>\n<\/tr>\n
2015-11-28:<\/td>\nParis St.G.<\/b><\/td>\n–<\/td>\nTroyes<\/b><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 73%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-11-28:<\/td>\nAngers<\/td>\n–<\/td>\nLille<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 29%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-11-28:<\/td>\nNantes<\/td>\n–<\/td>\nBastia<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 52%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-11-28:<\/td>\nGFC Ajaccio<\/b><\/td>\n–<\/td>\nLorient<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 28%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2015-11-28:<\/td>\nReims<\/td>\n–<\/td>\nRennes<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 43%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-11-28:<\/td>\nToulouse<\/td>\n–<\/td>\nNice<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 45%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-11-29:<\/td>\nSt.Etienne<\/b><\/td>\n–<\/td>\nGuingamp<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 52%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-11-29:<\/td>\nBordeaux<\/td>\n–<\/td>\nCaen<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 46%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n4<\/td>\n<\/tr>\n
2015-11-29:<\/td>\nMarseille<\/b><\/td>\n–<\/td>\nMonaco<\/b><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 33%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 15<\/b>: 4 out of 10 \/ 40%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 68 out of 150 \/ 45%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 14<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2015-11-20:<\/td>\nNice<\/td>\n–<\/td>\nLyon<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 50%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-11-21:<\/td>\nLorient<\/b><\/td>\n–<\/td>\nParis St.G.<\/b><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n@ 59%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-11-21:<\/td>\nMonaco<\/b><\/td>\n–<\/td>\nNantes<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n0<\/b><\/td>\n@ 56%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n0<\/b><\/td>\n<\/tr>\n
2015-11-21:<\/td>\nGuingamp<\/b><\/td>\n–<\/td>\nToulouse<\/b><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 43%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-11-21:<\/td>\nTroyes<\/td>\n–<\/td>\nLille<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 51%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-11-21:<\/td>\nMontpellier<\/b><\/td>\n–<\/td>\nReims<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 51%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-11-21:<\/td>\nBastia<\/td>\n–<\/td>\nGFC Ajaccio<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 46%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-11-22:<\/td>\nCaen<\/td>\n–<\/td>\nAngers<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 49%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-11-22:<\/td>\nRennes<\/b><\/td>\n–<\/td>\nBordeaux<\/b><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 32%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-11-22:<\/td>\nSt.Etienne<\/td>\n–<\/td>\nMarseille<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 36%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 14<\/b>: 5 out of 10 \/ 50%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 64 out of 140 \/ 46%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 13<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2015-11-06:<\/td>\nAngers<\/td>\n–<\/td>\nRennes<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 37%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-11-07:<\/td>\nParis St.G.<\/b><\/td>\n–<\/td>\nToulouse<\/b><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 68%<\/td>\n>>><\/td>\n5<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-11-07:<\/td>\nLorient<\/b><\/td>\n–<\/td>\nTroyes<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 56%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-11-07:<\/td>\nLille<\/td>\n–<\/td>\nBastia<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 51%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-11-07:<\/td>\nMontpellier<\/td>\n–<\/td>\nNantes<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 35%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-11-07:<\/td>\nCaen<\/b><\/td>\n–<\/td>\nGuingamp<\/b><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 39%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-11-07:<\/td>\nReims<\/td>\n–<\/td>\nGFC Ajaccio<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 52%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-11-08:<\/td>\nMarseille<\/td>\n–<\/td>\nNice<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 28%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-11-08:<\/td>\nBordeaux<\/td>\n–<\/td>\nMonaco<\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n@ 49%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-11-08:<\/td>\nLyon<\/b><\/td>\n–<\/td>\nSt.Etienne<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 59%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 13<\/b>: 4 out of 10 \/ 40%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 59 out of 130 \/ 45%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 12<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2015-10-30:<\/td>\nRennes<\/b><\/td>\n–<\/td>\nParis St.G.<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 59%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-10-31:<\/td>\nSt.Etienne<\/b><\/td>\n–<\/td>\nReims<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 59%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-10-31:<\/td>\nGuingamp<\/td>\n–<\/td>\nLorient<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 39%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-10-31:<\/td>\nTroyes<\/b><\/td>\n–<\/td>\nLyon<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 62%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-10-31:<\/td>\nGFC Ajaccio<\/td>\n–<\/td>\nBordeaux<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 47%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-10-31:<\/td>\nBastia<\/td>\n–<\/td>\nCaen<\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n@ 41%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-10-31:<\/td>\nToulouse<\/b><\/td>\n–<\/td>\nMontpellier<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 29%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2015-11-01:<\/td>\nNice<\/td>\n–<\/td>\nLille<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 39%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-11-01:<\/td>\nMonaco<\/b><\/td>\n–<\/td>\nAngers<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n0<\/b><\/td>\n@ 46%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n0<\/b><\/td>\n<\/tr>\n
2015-11-01:<\/td>\nNantes<\/b><\/td>\n–<\/td>\nMarseille<\/b><\/td>\n0<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 39%<\/td>\n>>><\/td>\n0<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 12<\/b>: 6 out of 10 \/ 60%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 55 out of 120 \/ 46%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 11<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2015-10-23:<\/td>\nCaen<\/td>\n–<\/td>\nNantes<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 51%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-10-23:<\/td>\nLyon<\/b><\/td>\n–<\/td>\nToulouse<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 58%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-10-24:<\/td>\nLorient<\/td>\n–<\/td>\nRennes<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 35%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-10-24:<\/td>\nAngers<\/td>\n–<\/td>\nGuingamp<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 44%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-10-24:<\/td>\nGFC Ajaccio<\/td>\n–<\/td>\nNice<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 54%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-10-24:<\/td>\nMontpellier<\/b><\/td>\n–<\/td>\nBastia<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 54%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-10-25:<\/td>\nReims<\/b><\/td>\n–<\/td>\nMonaco<\/b><\/td>\n0<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 42%<\/td>\n>>><\/td>\n0<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2015-10-25:<\/td>\nBordeaux<\/b><\/td>\n–<\/td>\nTroyes<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 59%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-10-25:<\/td>\nLille<\/td>\n–<\/td>\nMarseille<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 44%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-10-25:<\/td>\nParis St.G.<\/b><\/td>\n–<\/td>\nSt.Etienne<\/b><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 67%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 11<\/b>: 5 out of 10 \/ 50%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 49 out of 110 \/ 45%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 10<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2015-10-16:<\/td>\nMonaco<\/b><\/td>\n–<\/td>\nLyon<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 37%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2015-10-17:<\/td>\nBastia<\/b><\/td>\n–<\/td>\nParis St.G.<\/b><\/td>\n0<\/b><\/td>\n–<\/td>\n2<\/b><\/td>\n@ 56%<\/td>\n>>><\/td>\n0<\/b><\/td>\n–<\/td>\n2<\/b><\/td>\n<\/tr>\n
2015-10-17:<\/td>\nSt.Etienne<\/b><\/td>\n–<\/td>\nGFC Ajaccio<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 57%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-10-17:<\/td>\nGuingamp<\/b><\/td>\n–<\/td>\nLille<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 36%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2015-10-17:<\/td>\nNantes<\/b><\/td>\n–<\/td>\nTroyes<\/b><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 49%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-10-17:<\/td>\nReims<\/td>\n–<\/td>\nCaen<\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n@ 32%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-10-17:<\/td>\nToulouse<\/td>\n–<\/td>\nAngers<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 25%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-10-18:<\/td>\nMarseille<\/td>\n–<\/td>\nLorient<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 43%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-10-18:<\/td>\nBordeaux<\/td>\n–<\/td>\nMontpellier<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 49%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-10-18:<\/td>\nRennes<\/td>\n–<\/td>\nNice<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 38%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n4<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 10<\/b>: 5 out of 10 \/ 50%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 44 out of 100 \/ 44%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 9<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2015-10-02:<\/td>\nLille<\/td>\n–<\/td>\nMontpellier<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 41%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-10-03:<\/td>\nLyon<\/b><\/td>\n–<\/td>\nReims<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 43%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-10-03:<\/td>\nAngers<\/td>\n–<\/td>\nBastia<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 41%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-10-03:<\/td>\nTroyes<\/td>\n–<\/td>\nGuingamp<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 45%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-10-03:<\/td>\nGFC Ajaccio<\/td>\n–<\/td>\nToulouse<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 43%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-11-04:<\/td>\nNice<\/td>\n–<\/td>\nNantes<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 48%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-10-04:<\/td>\nMonaco<\/td>\n–<\/td>\nRennes<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 39%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-10-04:<\/td>\nLorient<\/td>\n–<\/td>\nBordeaux<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 34%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-10-04:<\/td>\nCaen<\/td>\n–<\/td>\nSt.Etienne<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 46%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-10-04:<\/td>\nParis St.G.<\/b><\/td>\n–<\/td>\nMarseille<\/b><\/td>\n2<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 60%<\/td>\n>>><\/td>\n2<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 9<\/b>: 2 out of 10 \/ 20%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 39 out of 90 \/ 43%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 8<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2015-09-25:<\/td>\nReims<\/td>\n–<\/td>\nLille<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 40%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-09-26:<\/td>\nNantes<\/b><\/td>\n–<\/td>\nParis St.G.<\/b><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n@ 56%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n4<\/td>\n<\/tr>\n
2015-09-26:<\/td>\nBordeaux<\/td>\n–<\/td>\nLyon<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 55%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-09-26:<\/td>\nBastia<\/td>\n–<\/td>\nToulouse<\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n@ 31%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-09-26:<\/td>\nCaen<\/b><\/td>\n–<\/td>\nGFC Ajaccio<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 49%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-09-26:<\/td>\nRennes<\/td>\n–<\/td>\nTroyes<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 47%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-09-27:<\/td>\nMarseille<\/td>\n–<\/td>\nAngers<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 49%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-09-27:<\/td>\nGuingamp<\/td>\n–<\/td>\nMonaco<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 47%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2015-09-27:<\/td>\nMontpellier<\/td>\n–<\/td>\nLorient<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 28%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-09-27:<\/td>\nSt.Etienne<\/td>\n–<\/td>\nNice<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 61%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n4<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 8<\/b>: 2 out of 10 \/ 20%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 37 out of 80 \/ 46%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 7<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2015-09-22:<\/td>\nAngers<\/b><\/td>\n–<\/td>\nReims<\/b><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 23%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-09-22:<\/td>\nParis St.G.<\/b><\/td>\n–<\/td>\nGuingamp<\/b><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 51%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-09-23:<\/td>\nTroyes<\/b><\/td>\n–<\/td>\nSt.Etienne<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 60%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-09-23:<\/td>\nLorient<\/td>\n–<\/td>\nCaen<\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n@ 34%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-09-23:<\/td>\nGFC Ajaccio<\/td>\n–<\/td>\nRennes<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 52%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-09-23:<\/td>\nNice<\/td>\n–<\/td>\nBordeaux<\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n@ 42%<\/td>\n>>><\/td>\n6<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-09-23:<\/td>\nLyon<\/b><\/td>\n–<\/td>\nBastia<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 58%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-09-23:<\/td>\nToulouse<\/b><\/td>\n–<\/td>\nMarseille<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 35%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2015-09-24:<\/td>\nMontpellier<\/b><\/td>\n–<\/td>\nMonaco<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 52%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2015-09-29:<\/td>\nLille<\/td>\n–<\/td>\nNantes<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 57%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 7<\/b>: 6 out of 10 \/ 60%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 35 out of 70 \/ 50%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 6<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2015-09-18:<\/td>\nRennes<\/td>\n–<\/td>\nLille<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 46%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-09-19:<\/td>\nReims<\/td>\n–<\/td>\nParis St.G.<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 46%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-09-19:<\/td>\nAngers<\/td>\n–<\/td>\nTroyes<\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n@ 46%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-09-19:<\/td>\nGuingamp<\/b><\/td>\n–<\/td>\nGFC Ajaccio<\/b><\/td>\n2<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 47%<\/td>\n>>><\/td>\n2<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2015-09-19:<\/td>\nBastia<\/b><\/td>\n–<\/td>\nNice<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 44%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2015-09-19:<\/td>\nCaen<\/b><\/td>\n–<\/td>\nMontpellier<\/b><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 39%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-09-20:<\/td>\nBordeaux<\/td>\n–<\/td>\nToulouse<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 50%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-09-20:<\/td>\nMonaco<\/td>\n–<\/td>\nLorient<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 48%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2015-09-20:<\/td>\nSt.Etienne<\/b><\/td>\n–<\/td>\nNantes<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 61%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-09-20:<\/td>\nMarseille<\/b><\/td>\n–<\/td>\nLyon<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 40%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 6<\/b>: 5 out of 10 \/ 50%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 29 out of 60 \/ 48%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 5<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2015-09-13:<\/td>\nGFC Ajaccio<\/b><\/td>\n–<\/td>\nMonaco<\/b><\/td>\n0<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 49%<\/td>\n>>><\/td>\n0<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2015-09-12:<\/td>\nLorient<\/td>\n–<\/td>\nAngers<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 30%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-09-12:<\/td>\nLyon<\/td>\n–<\/td>\nLille<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 51%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-09-13:<\/td>\nMarseille<\/b><\/td>\n–<\/td>\nBastia<\/b><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 43%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-09-12:<\/td>\nMontpellier<\/b><\/td>\n–<\/td>\nSt.Etienne<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n2<\/b><\/td>\n@ 56%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n2<\/b><\/td>\n<\/tr>\n
2015-09-13:<\/td>\nNantes<\/b><\/td>\n–<\/td>\nRennes<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 42%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-09-12:<\/td>\nNice<\/td>\n–<\/td>\nGuingamp<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 43%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-09-11:<\/td>\nParis St.G.<\/td>\n–<\/td>\nBordeaux<\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 61%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-09-12:<\/td>\nToulouse<\/b><\/td>\n–<\/td>\nReims<\/b><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 27%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-09-12:<\/td>\nTroyes<\/td>\n–<\/td>\nCaen<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 44%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 5<\/b>: 5 out of 10 \/ 50%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 24 out of 50 \/ 48%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 4<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2015-08-28:<\/td>\nGuingamp<\/td>\n–<\/td>\nMarseille<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 43%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-08-29:<\/td>\nCaen<\/b><\/td>\n–<\/td>\nLyon<\/b><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n@ 30%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n4<\/td>\n<\/tr>\n
2015-08-29:<\/td>\nAngers<\/b><\/td>\n–<\/td>\nNice<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 38%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2015-08-29:<\/td>\nTroyes<\/b><\/td>\n–<\/td>\nMontpellier<\/b><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 41%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-08-29:<\/td>\nLille<\/b><\/td>\n–<\/td>\nGFC Ajaccio<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 51%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-08-29:<\/td>\nReims<\/td>\n–<\/td>\nLorient<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 32%<\/td>\n>>><\/td>\n4<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-08-29:<\/td>\nRennes<\/td>\n–<\/td>\nToulouse<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 28%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-08-30:<\/td>\nSt.Etienne<\/b><\/td>\n–<\/td>\nBastia<\/b><\/td>\n2<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 41%<\/td>\n>>><\/td>\n2<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2015-08-30:<\/td>\nBordeaux<\/b><\/td>\n–<\/td>\nNantes<\/b><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 41%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-08-30:<\/td>\nMonaco<\/td>\n–<\/td>\nParis St.G.<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 43%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 4<\/b>: 6 out of 10 \/ 60%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 19 out of 40 \/ 48%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 3<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2015-08-21:<\/td>\nMontpellier<\/b><\/td>\n–<\/td>\nParis St.G.<\/b><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n@ 41%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-08-22:<\/td>\nLyon<\/td>\n–<\/td>\nRennes<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 39%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-08-22:<\/td>\nNantes<\/td>\n–<\/td>\nReims<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 17%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-08-22:<\/td>\nGFC Ajaccio<\/td>\n–<\/td>\nAngers<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 30%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-08-22:<\/td>\nNice<\/td>\n–<\/td>\nCaen<\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n@ 32%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-08-22:<\/td>\nBastia<\/td>\n–<\/td>\nGuingamp<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 34%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-08-22:<\/td>\nToulouse<\/td>\n–<\/td>\nMonaco<\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n@ 34%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-08-23:<\/td>\nLille<\/b><\/td>\n–<\/td>\nBordeaux<\/b><\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n@ 37%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-08-23:<\/td>\nLorient<\/b><\/td>\n–<\/td>\nSt.Etienne<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 32%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-08-23:<\/td>\nMarseille<\/b><\/td>\n–<\/td>\nTroyes<\/b><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 38%<\/td>\n>>><\/td>\n6<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 3<\/b>: 4 out of 10 \/ 40%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 13 out of 30 \/ 43%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 2<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2015-08-14:<\/td>\nMonaco<\/td>\n–<\/td>\nLille<\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n@ 40%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-08-15:<\/td>\nSt.Etienne<\/b><\/td>\n–<\/td>\nBordeaux<\/b><\/td>\n2<\/td>\n–<\/td>\n2<\/td>\n@ 25%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-08-15:<\/td>\nAngers<\/b><\/td>\n–<\/td>\nNantes<\/b><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 23%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-08-15:<\/td>\nGuingamp<\/b><\/td>\n–<\/td>\nLyon<\/b><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n@ 25%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-08-15:<\/td>\nTroyes<\/b><\/td>\n–<\/td>\nNice<\/b><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n@ 32%<\/td>\n>>><\/td>\n3<\/td>\n–<\/td>\n3<\/td>\n<\/tr>\n
2015-08-15:<\/td>\nCaen<\/td>\n–<\/td>\nToulouse<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 23%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-08-15:<\/td>\nRennes<\/td>\n–<\/td>\nMontpellier<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 26%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-08-16:<\/td>\nReims<\/td>\n–<\/td>\nMarseille<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 22%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-08-16:<\/td>\nLorient<\/b><\/td>\n–<\/td>\nBastia<\/b><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n@ 21%<\/td>\n>>><\/td>\n1<\/b><\/td>\n–<\/td>\n1<\/b><\/td>\n<\/tr>\n
2015-08-16:<\/td>\nParis St.G.<\/b><\/td>\n–<\/td>\nGFC Ajaccio<\/b><\/td>\n2<\/b><\/td>\n–<\/td>\n0<\/b><\/td>\n@ 40%<\/td>\n>>><\/td>\n2<\/b><\/td>\n–<\/td>\n0<\/b><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 2<\/b>: 6 out of 10 \/ 60%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 9 out of 20 \/ 45%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

\"Ligue-1-Football-Result-Predictions\"<\/p>\n

Matchday 1<\/b>: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
2015-08-07:<\/td>\nLille<\/b><\/td>\n–<\/td>\nParis St.G.<\/b><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 21%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-08-08:<\/td>\nNantes<\/td>\n–<\/td>\nGuingamp<\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 19%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-08-08:<\/td>\nTroyes<\/b><\/td>\n–<\/td>\nGFC Ajaccio<\/b><\/td>\n1<\/td>\n–<\/td>\n1<\/td>\n@ 22%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n
2015-08-08:<\/td>\nMontpellier<\/td>\n–<\/td>\nAngers<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 25%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-08-08:<\/td>\nNice<\/b><\/td>\n–<\/td>\nMonaco<\/b><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n@ 22%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-08-08:<\/td>\nMarseille<\/td>\n–<\/td>\nCaen<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 27%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-08-08:<\/td>\nBastia<\/td>\n–<\/td>\nRennes<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 20%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-08-09:<\/td>\nBordeaux<\/td>\n–<\/td>\nReims<\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n@ 28%<\/td>\n>>><\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n<\/tr>\n
2015-08-09:<\/td>\nToulouse<\/td>\n–<\/td>\nSt.Etienne<\/td>\n1<\/td>\n–<\/td>\n2<\/td>\n@ 20%<\/td>\n>>><\/td>\n2<\/td>\n–<\/td>\n1<\/td>\n<\/tr>\n
2015-08-09:<\/td>\nLyon<\/td>\n–<\/td>\nLorient<\/td>\n2<\/td>\n–<\/td>\n0<\/td>\n@ 27%<\/td>\n>>><\/td>\n0<\/td>\n–<\/td>\n0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Correct tendency for matchday<\/b> 1<\/b>: 3 out of 10 \/ 30%<\/b> (“by chance” would be \u00f8 ~33%)
Hit rate since matchday 1<\/b>: 3 out of 10 \/ 30%<\/b> (“by chance” would be \u00f8 ~33%)<\/p>\n

* DMSC (Data.Mining.Soccer-Confidence)<\/b> is a percentage of statistical confidence which provides insight about the statistical validity of a prediction. For more information about this artificial hybrid ratio check our section [Our analysis]<\/a>.<\/p>\n

Data mining software used: [Data.Mining.Fox\u00ae (DMF) by Easy.Data.Mining\u2122]<\/a><\/p>\n

\"Data-Mining-Soccer-top-of-page\"<\/a> \"Data-Mining-Soccer-football-result-prediction\"<\/a> \"DataMiningSoccer<\/a> \"DataMiningSoccer<\/a> \"DataMiningSoccer<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Football Result Predictions using Data MiningData mining software used: [Data.Mining.Fox\u00ae (DMF) by Easy.Data.Mining\u2122]Please be aware of our [liability disclaimer] regarding the following predictions. Final tables: Ligue 1 2015\/16 Total table: Home table: Away table: Matchday 38: Ligue 1 2015\/16: predictions @ z% DMSC* >>> real results: 2016-05-14: Angers – Toulouse 1 – 1 @ 27% … Continue reading Ligue 1 2015\/16<\/span> →<\/span><\/a><\/p>\n","protected":false},"author":4,"featured_media":0,"parent":822,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"yoast_head":"\n\n\n\n\n\n