Football Result Predictions using Data Mining
Data mining software used: [Data.Mining.Fox® (DMF) by Easy.Data.Mining™]
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% | >>> | 2 | – | 3 |
| 2016-05-14: | Monaco | – | Montpellier | 1 | – | 0 | @ 53% | >>> | 2 | – | 0 |
| 2016-05-14: | St.Etienne | – | Lille | 2 | – | 1 | @ 42% | >>> | 0 | – | 1 |
| 2016-05-14: | Guingamp | – | Nice | 0 | – | 2 | @ 46% | >>> | 2 | – | 3 |
| 2016-05-14: | Troyes | – | Marseille | 0 | – | 1 | @ 52% | >>> | 1 | – | 1 |
| 2016-05-14: | Lorient | – | GFC Ajaccio | 0 | – | 0 | @ 39% | >>> | 1 | – | 0 |
| 2016-05-14: | Paris St.G. | – | Nantes | 1 | – | 0 | @ 64% | >>> | 4 | – | 0 |
| 2016-05-14: | Caen | – | Bordeaux | 1 | – | 2 | @ 37% | >>> | 1 | – | 0 |
| 2016-05-14: | Reims | – | Lyon | 1 | – | 1 | @ 33% | >>> | 4 | – | 1 |
| 2016-05-14: | Rennes | – | Bastia | 1 | – | 1 | @ 29% | >>> | 1 | – | 2 |
Correct tendency for matchday 38: 3 out of 10 / 30% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 173 out of 380 / 46% (“by chance” would be ø ~33%)
Check here for the entire list of [statistics by team] so far, and here for the [hit rates by various prediction categories].
* DMSC (Data.Mining.Soccer-Confidence) 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].
Matchday 37: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-05-07: | GFC Ajaccio | – | Paris St.G. | 0 | – | 2 | @ 55% | >>> | 0 | – | 4 |
| 2016-05-07: | Bastia | – | Angers | 1 | – | 1 | @ 34% | >>> | 1 | – | 0 |
| 2016-05-07: | Bordeaux | – | Lorient | 1 | – | 1 | @ 31% | >>> | 3 | – | 0 |
| 2016-05-07: | Lille | – | Guingamp | 2 | – | 1 | @ 57% | >>> | 0 | – | 0 |
| 2016-05-07: | Lyon | – | Monaco | 2 | – | 1 | @ 49% | >>> | 6 | – | 1 |
| 2016-05-07: | Marseille | – | Reims | 2 | – | 0 | @ 53% | >>> | 1 | – | 0 |
| 2016-05-07: | Montpellier | – | Rennes | 1 | – | 1 | @ 37% | >>> | 2 | – | 0 |
| 2016-05-07: | Nantes | – | Caen | 0 | – | 0 | @ 38% | >>> | 1 | – | 2 |
| 2016-05-07: | Nice | – | St.Etienne | 1 | – | 1 | @ 35% | >>> | 2 | – | 0 |
| 2016-05-07: | Toulouse | – | Troyes | 2 | – | 1 | @ 56% | >>> | 1 | – | 0 |
Correct tendency for matchday 37: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 170 out of 370 / 46% (“by chance” would be ø ~33%)
Matchday 36: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-04-29: | Paris St.G. | – | Rennes | 2 | – | 0 | @ 57% | >>> | 4 | – | 0 |
| 2016-04-30: | Nantes | – | Nice | 0 | – | 1 | @ 45% | >>> | 1 | – | 0 |
| 2016-04-30: | St.Etienne | – | Toulouse | 2 | – | 0 | @ 58% | >>> | 0 | – | 0 |
| 2016-04-30: | Monaco | – | Guingamp | 1 | – | 0 | @ 53% | >>> | 3 | – | 2 |
| 2016-04-30: | Troyes | – | Bordeaux | 1 | – | 1 | @ 32% | >>> | 2 | – | 4 |
| 2016-04-30: | Lorient | – | Lille | 1 | – | 2 | @ 42% | >>> | 0 | – | 1 |
| 2016-04-30: | Caen | – | Bastia | 2 | – | 1 | @ 43% | >>> | 0 | – | 0 |
| 2016-04-30: | Reims | – | Montpellier | 1 | – | 1 | @ 35% | >>> | 2 | – | 3 |
| 2016-04-30: | Lyon | – | GFC Ajaccio | 2 | – | 0 | @ 57% | >>> | 2 | – | 1 |
| 2016-05-01: | Angers | – | Marseille | 0 | – | 1 | @ 34% | >>> | 0 | – | 1 |
Correct tendency for matchday 36: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 166 out of 360 / 46% (“by chance” would be ø ~33%)
Matchday 35: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-04-22: | Nice | – | Reims | 1 | – | 0 | @ 49% | >>> | 2 | – | 0 |
| 2016-04-23: | Toulouse | – | Lyon | 1 | – | 2 | @ 41% | >>> | 2 | – | 3 |
| 2016-04-24: | Marseille | – | Nantes | 2 | – | 0 | @ 49% | >>> | 1 | – | 1 |
| 2016-04-24: | St.Etienne | – | Lorient | 2 | – | 0 | @ 57% | >>> | 2 | – | 0 |
| 2016-04-24: | Guingamp | – | Caen | 2 | – | 1 | @ 47% | >>> | 1 | – | 1 |
| 2016-04-24: | GFC Ajaccio | – | Bastia | 1 | – | 1 | @ 30% | >>> | 3 | – | 2 |
| 2016-04-24: | Montpellier | – | Troyes | 2 | – | 1 | @ 54% | >>> | 4 | – | 1 |
| 2016-04-24: | Rennes | – | Monaco | 1 | – | 1 | @ 34% | >>> | 1 | – | 1 |
| 2016-04-27: | Lille | – | Angers | 2 | – | 1 | @ 45% | >>> | 0 | – | 0 |
| 2016-05-11: | Bordeaux | – | Paris St.G. | 1 | – | 2 | @ 52% | >>> | 1 | – | 1 |
Correct tendency for matchday 35: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 161 out of 350 / 46% (“by chance” would be ø ~33%)
Matchday 34: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-04-15: | Lyon | – | Nice | 2 | – | 0 | @ 57% | >>> | 1 | – | 1 |
| 2016-04-16: | Paris St.G. | – | Caen | 2 | – | 0 | @ 62% | >>> | 6 | – | 0 |
| 2016-04-16: | Troyes | – | Reims | 1 | – | 2 | @ 50% | >>> | 2 | – | 1 |
| 2016-04-16: | Bordeaux | – | Angers | 2 | – | 1 | @ 37% | >>> | 1 | – | 3 |
| 2016-04-16: | Lorient | – | Toulouse | 1 | – | 1 | @ 37% | >>> | 1 | – | 1 |
| 2016-04-16: | GFC Ajaccio | – | Lille | 1 | – | 2 | @ 47% | >>> | 2 | – | 4 |
| 2016-04-16: | Bastia | – | St.Etienne | 0 | – | 1 | @ 49% | >>> | 0 | – | 1 |
| 2016-04-17: | Nantes | – | Montpellier | 1 | – | 1 | @ 39% | >>> | 0 | – | 2 |
| 2016-04-17: | Rennes | – | Guingamp | 2 | – | 1 | @ 46% | >>> | 0 | – | 3 |
| 2016-04-17: | Monaco | – | Marseille | 1 | – | 0 | @ 45% | >>> | 2 | – | 1 |
Correct tendency for matchday 34: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 156 out of 340 / 46% (“by chance” would be ø ~33%)
Matchday 33: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-04-09: | Montpellier | – | Lyon | 1 | – | 2 | @ 52% | >>> | 0 | – | 2 |
| 2016-04-09: | Guingamp | – | Paris St.G. | 0 | – | 2 | @ 53% | >>> | 0 | – | 2 |
| 2016-04-09: | Angers | – | GFC Ajaccio | 2 | – | 1 | @ 48% | >>> | 0 | – | 0 |
| 2016-04-09: | St.Etienne | – | Troyes | 2 | – | 0 | @ 64% | >>> | 1 | – | 0 |
| 2016-04-09: | Caen | – | Lorient | 2 | – | 1 | @ 44% | >>> | 1 | – | 2 |
| 2016-04-09: | Reims | – | Nantes | 1 | – | 1 | @ 37% | >>> | 2 | – | 1 |
| 2016-04-09: | Toulouse | – | Bastia | 2 | – | 1 | @ 43% | >>> | 4 | – | 0 |
| 2016-04-09: | Lille | – | Monaco | 1 | – | 1 | @ 25% | >>> | 4 | – | 1 |
| 2016-04-09: | Nice | – | Rennes | 1 | – | 1 | @ 26% | >>> | 3 | – | 0 |
| 2016-04-09: | Marseille | – | Bordeaux | 2 | – | 1 | @ 41% | >>> | 0 | – | 0 |
Correct tendency for matchday 33: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 151 out of 330 / 46% (“by chance” would be ø ~33%)
Matchday 32: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-04-02: | Monaco | – | Bordeaux | 1 | – | 0 | @ 53% | >>> | 1 | – | 2 |
| 2016-04-03: | Lorient | – | Lyon | 1 | – | 2 | @ 48% | >>> | 1 | – | 3 |
| 2016-04-03: | Nantes | – | Lille | 1 | – | 2 | @ 42% | >>> | 0 | – | 3 |
| 2016-04-02: | GFC Ajaccio | – | St.Etienne | 0 | – | 1 | @ 46% | >>> | 0 | – | 2 |
| 2016-04-02: | Paris St.G. | – | Nice | 2 | – | 1 | @ 54% | >>> | 4 | – | 1 |
| 2016-04-03: | Bastia | – | Marseille | 0 | – | 1 | @ 41% | >>> | 2 | – | 1 |
| 2016-04-02: | Guingamp | – | Montpellier | 2 | – | 1 | @ 44% | >>> | 2 | – | 2 |
| 2016-04-02: | Troyes | – | Angers | 1 | – | 2 | @ 45% | >>> | 0 | – | 1 |
| 2016-04-02: | Rennes | – | Reims | 2 | – | 1 | @ 48% | >>> | 3 | – | 1 |
| 2016-04-02: | Toulouse | – | Caen | 1 | – | 0 | @ 41% | >>> | 2 | – | 0 |
Correct tendency for matchday 32: 7 out of 10 / 70% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 147 out of 320 / 46% (“by chance” would be ø ~33%)
Matchday 31: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-03-18: | Marseille | – | Rennes | 2 | – | 1 | @ 42% | >>> | 2 | – | 5 |
| 2016-03-19: | St.Etienne | – | Montpellier | 2 | – | 1 | @ 48% | >>> | 3 | – | 0 |
| 2016-03-19: | Angers | – | Lorient | 1 | – | 2 | @ 40% | >>> | 5 | – | 1 |
| 2016-03-19: | Lille | – | Toulouse | 1 | – | 0 | @ 45% | >>> | 1 | – | 0 |
| 2016-03-19: | Caen | – | Troyes | 2 | – | 1 | @ 52% | >>> | 2 | – | 1 |
| 2016-03-19: | Reims | – | Guingamp | 2 | – | 1 | @ 40% | >>> | 0 | – | 1 |
| 2016-03-19: | Lyon | – | Nantes | 2 | – | 0 | @ 55% | >>> | 2 | – | 0 |
| 2016-03-20: | Bordeaux | – | Bastia | 2 | – | 1 | @ 46% | >>> | 1 | – | 1 |
| 2016-03-20: | Nice | – | GFC Ajaccio | 2 | – | 1 | @ 49% | >>> | 3 | – | 0 |
| 2016-03-20: | Paris St.G. | – | Monaco | 1 | – | 0 | @ 58% | >>> | 0 | – | 2 |
Correct tendency for matchday 31: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 140 out of 310 / 45% (“by chance” would be ø ~33%)
Matchday 30: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-03-11: | Monaco | – | Reims | 1 | – | 0 | @ 60% | >>> | 2 | – | 2 |
| 2016-03-12: | Lorient | – | Marseille | 1 | – | 2 | @ 44% | >>> | 1 | – | 1 |
| 2016-03-12: | Guingamp | – | St.Etienne | 1 | – | 2 | @ 48% | >>> | 2 | – | 0 |
| 2016-03-12: | GFC Ajaccio | – | Caen | 1 | – | 1 | @ 30% | >>> | 1 | – | 0 |
| 2016-03-12: | Montpellier | – | Nice | 2 | – | 1 | @ 41% | >>> | 0 | – | 2 |
| 2016-03-12: | Bastia | – | Lille | 1 | – | 1 | @ 27% | >>> | 1 | – | 2 |
| 2016-03-12: | Toulouse | – | Bordeaux | 1 | – | 1 | @ 36% | >>> | 4 | – | 0 |
| 2016-03-13: | Troyes | – | Paris St.G. | 0 | – | 2 | @ 58% | >>> | 0 | – | 9 |
| 2016-03-13: | Nantes | – | Angers | 2 | – | 1 | @ 43% | >>> | 2 | – | 0 |
| 2016-03-13: | Rennes | – | Lyon | 1 | – | 1 | @ 35% | >>> | 2 | – | 2 |
Correct tendency for matchday 30: 3 out of 10 / 30% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 135 out of 300 / 45% (“by chance” would be ø ~33%)
Matchday 29: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-03-04: | Caen | – | Monaco | 0 | – | 1 | @ 47% | >>> | 2 | – | 2 |
| 2016-03-05: | Paris St.G. | – | Montpellier | 2 | – | 0 | @ 57% | >>> | 0 | – | 0 |
| 2016-03-05: | Angers | – | St.Etienne | 1 | – | 2 | @ 37% | >>> | 0 | – | 0 |
| 2016-03-05: | Bordeaux | – | GFC Ajaccio | 2 | – | 1 | @ 46% | >>> | 1 | – | 1 |
| 2016-03-05: | Lille | – | Reims | 2 | – | 1 | @ 40% | >>> | 2 | – | 0 |
| 2016-03-05: | Nice | – | Troyes | 1 | – | 0 | @ 51% | >>> | 2 | – | 1 |
| 2016-03-05: | Bastia | – | Lorient | 2 | – | 1 | @ 41% | >>> | 0 | – | 0 |
| 2016-03-06: | Marseille | – | Toulouse | 2 | – | 0 | @ 53% | >>> | 1 | – | 1 |
| 2016-03-06: | Rennes | – | Nantes | 2 | – | 1 | @ 44% | >>> | 4 | – | 1 |
| 2016-03-06: | Lyon | – | Guingamp | 2 | – | 0 | @ 58% | >>> | 5 | – | 1 |
Correct tendency for matchday 29: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 132 out of 290 / 46% (“by chance” would be ø ~33%)
Matchday 28: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-02-26: | Nice | – | Bastia | 2 | – | 0 | @ 48% | >>> | 0 | – | 2 |
| 2016-02-27: | Montpellier | – | Lille | 1 | – | 1 | @ 34% | >>> | 3 | – | 0 |
| 2016-02-27: | Guingamp | – | Angers | 2 | – | 1 | @ 42% | >>> | 2 | – | 2 |
| 2016-02-27: | Troyes | – | Lorient | 0 | – | 1 | @ 47% | >>> | 0 | – | 1 |
| 2016-02-27: | Reims | – | Bordeaux | 1 | – | 1 | @ 33% | >>> | 4 | – | 1 |
| 2016-02-27: | Toulouse | – | Rennes | 0 | – | 0 | @ 25% | >>> | 1 | – | 2 |
| 2016-02-28: | Nantes | – | Monaco | 0 | – | 1 | @ 45% | >>> | 0 | – | 0 |
| 2016-02-28: | St.Etienne | – | Caen | 2 | – | 1 | @ 51% | >>> | 1 | – | 2 |
| 2016-02-28: | GFC Ajaccio | – | Marseille | 0 | – | 1 | @ 46% | >>> | 1 | – | 1 |
| 2016-02-28: | Lyon | – | Paris St.G. | 1 | – | 2 | @ 56% | >>> | 2 | – | 1 |
Correct tendency for matchday 28: 1 out of 10 / 10% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 128 out of 280 / 46% (“by chance” would be ø ~33%)
Matchday 27: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-02-19: | Bordeaux | – | Nice | 2 | – | 1 | @ 43% | >>> | 0 | – | 0 |
| 2016-02-20: | Paris St.G. | – | Reims | 2 | – | 0 | @ 64% | >>> | 4 | – | 1 |
| 2016-02-20: | Angers | – | Montpellier | 1 | – | 1 | @ 31% | >>> | 2 | – | 3 |
| 2016-02-20: | Monaco | – | Troyes | 1 | – | 0 | @ 58% | >>> | 3 | – | 1 |
| 2016-02-20: | Lorient | – | Guingamp | 1 | – | 1 | @ 34% | >>> | 4 | – | 3 |
| 2016-03-09: | Bastia | – | Nantes | 1 | – | 1 | @ 38% | >>> | 0 | – | 0 |
| 2016-02-20: | Toulouse | – | GFC Ajaccio | 2 | – | 1 | @ 43% | >>> | 1 | – | 1 |
| 2016-02-21: | Marseille | – | St.Etienne | 1 | – | 1 | @ 37% | >>> | 1 | – | 1 |
| 2016-02-21: | Caen | – | Rennes | 1 | – | 1 | @ 21% | >>> | 1 | – | 0 |
| 2016-02-21: | Lille | – | Lyon | 1 | – | 1 | @ 32% | >>> | 1 | – | 0 |
Correct tendency for matchday 27: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 127 out of 270 / 47% (“by chance” would be ø ~33%)
Matchday 26: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-02-12: | Rennes | – | Angers | 2 | – | 1 | @ 47% | >>> | 1 | – | 0 |
| 2016-02-13: | Paris St.G. | – | Lille | 2 | – | 0 | @ 62% | >>> | 0 | – | 0 |
| 2016-02-13: | Guingamp | – | Bordeaux | 1 | – | 0 | @ 45% | >>> | 2 | – | 4 |
| 2016-02-13: | GFC Ajaccio | – | Troyes | 2 | – | 1 | @ 54% | >>> | 2 | – | 3 |
| 2016-02-13: | Nantes | – | Lorient | 2 | – | 1 | @ 47% | >>> | 2 | – | 1 |
| 2016-02-13: | Montpellier | – | Toulouse | 2 | – | 1 | @ 44% | >>> | 2 | – | 0 |
| 2016-02-13: | Reims | – | Bastia | 2 | – | 1 | @ 50% | >>> | 0 | – | 1 |
| 2016-02-14: | Lyon | – | Caen | 2 | – | 0 | @ 58% | >>> | 4 | – | 1 |
| 2016-02-14: | St.Etienne | – | Monaco | 1 | – | 1 | @ 37% | >>> | 1 | – | 1 |
| 2016-02-14: | Nice | – | Marseille | 1 | – | 2 | @ 42% | >>> | 1 | – | 1 |
Correct tendency for matchday 26: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 123 out of 260 / 47% (“by chance” would be ø ~33%)
Matchday 25: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-02-06: | Monaco | – | Nice | 1 | – | 0 | @ 52% | >>> | 1 | – | 0 |
| 2016-02-06: | Angers | – | Lyon | 1 | – | 1 | @ 30% | >>> | 0 | – | 3 |
| 2016-02-06: | Lorient | – | Montpellier | 1 | – | 1 | @ 38% | >>> | 1 | – | 1 |
| 2016-02-06: | GFC Ajaccio | – | Guingamp | 1 | – | 1 | @ 37% | >>> | 0 | – | 0 |
| 2016-02-06: | Bastia | – | Troyes | 2 | – | 1 | @ 50% | >>> | 2 | – | 0 |
| 2016-02-06: | Caen | – | Reims | 1 | – | 0 | @ 45% | >>> | 0 | – | 2 |
| 2016-02-06: | Toulouse | – | Nantes | 1 | – | 1 | @ 28% | >>> | 0 | – | 0 |
| 2016-02-07: | Lille | – | Rennes | 2 | – | 1 | @ 42% | >>> | 1 | – | 1 |
| 2016-02-07: | Bordeaux | – | St.Etienne | 2 | – | 1 | @ 42% | >>> | 1 | – | 4 |
| 2016-02-07: | Marseille | – | Paris St.G. | 1 | – | 2 | @ 53% | >>> | 1 | – | 2 |
Correct tendency for matchday 25: 6 out of 10 / 60% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 118 out of 250 / 47% (“by chance” would be ø ~33%)
Matchday 24: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-02-02: | Monaco | – | Bastia | 2 | – | 0 | @ 57% | >>> | 2 | – | 0 |
| 2016-02-02: | Montpellier | – | Marseille | 1 | – | 2 | @ 46% | >>> | 0 | – | 1 |
| 2016-02-03: | Guingamp | – | Troyes | 2 | – | 1 | @ 54% | >>> | 4 | – | 0 |
| 2016-02-03: | Nantes | – | GFC Ajaccio | 1 | – | 0 | @ 47% | >>> | 3 | – | 1 |
| 2016-02-03: | Lille | – | Caen | 1 | – | 1 | @ 34% | >>> | 1 | – | 0 |
| 2016-02-03: | Nice | – | Toulouse | 2 | – | 1 | @ 48% | >>> | 1 | – | 0 |
| 2016-02-03: | Lyon | – | Bordeaux | 2 | – | 1 | @ 47% | >>> | 3 | – | 0 |
| 2016-02-03: | Reims | – | Angers | 1 | – | 1 | @ 30% | >>> | 2 | – | 1 |
| 2016-02-03: | Paris St.G. | – | Lorient | 2 | – | 0 | @ 64% | >>> | 3 | – | 1 |
| 2016-02-04: | Rennes | – | St.Etienne | 1 | – | 0 | @ 42% | >>> | 0 | – | 1 |
Correct tendency for matchday 24: 7 out of 10 / 70% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 112 out of 240 / 47% (“by chance” would be ø ~33%)
Matchday 23: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-01-29: | Marseille | – | Lille | 2 | – | 1 | @ 48% | >>> | 1 | – | 1 |
| 2016-01-30: | Angers | – | Monaco | 0 | – | 1 | @ 45% | >>> | 3 | – | 0 |
| 2016-01-30: | Troyes | – | Nantes | 1 | – | 1 | @ 32% | >>> | 0 | – | 1 |
| 2016-01-30: | Lorient | – | Reims | 2 | – | 1 | @ 38% | >>> | 2 | – | 0 |
| 2016-01-30: | GFC Ajaccio | – | Montpellier | 2 | – | 1 | @ 45% | >>> | 0 | – | 4 |
| 2016-01-30: | Bastia | – | Lyon | 1 | – | 1 | @ 31% | >>> | 1 | – | 0 |
| 2016-01-30: | Toulouse | – | Guingamp | 1 | – | 1 | @ 32% | >>> | 1 | – | 2 |
| 2016-01-31: | Caen | – | Nice | 1 | – | 1 | @ 25% | >>> | 2 | – | 0 |
| 2016-01-31: | Bordeaux | – | Rennes | 0 | – | 0 | @ 31% | >>> | 4 | – | 0 |
| 2016-01-31: | St.Etienne | – | Paris St.G. | 1 | – | 2 | @ 55% | >>> | 0 | – | 2 |
Correct tendency for matchday 23: 2 out of 10 / 20% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 105 out of 230 / 46% (“by chance” would be ø ~33%)
Matchday 22: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-01-22: | Rennes | – | GFC Ajaccio | 2 | – | 1 | @ 46% | >>> | 1 | – | 0 |
| 2016-01-23: | Paris St.G. | – | Angers | 2 | – | 0 | @ 65% | >>> | 5 | – | 1 |
| 2016-01-23: | Guingamp | – | Bastia | 2 | – | 1 | @ 45% | >>> | 1 | – | 0 |
| 2016-01-23: | Nantes | – | Bordeaux | 1 | – | 1 | @ 26% | >>> | 2 | – | 2 |
| 2016-01-23: | Lille | – | Troyes | 2 | – | 1 | @ 52% | >>> | 1 | – | 3 |
| 2016-01-23: | Montpellier | – | Caen | 1 | – | 0 | @ 43% | >>> | 1 | – | 2 |
| 2016-01-23: | Nice | – | Lorient | 2 | – | 1 | @ 51% | >>> | 2 | – | 1 |
| 2016-01-24: | Monaco | – | Toulouse | 1 | – | 0 | @ 59% | >>> | 4 | – | 0 |
| 2016-01-24: | Reims | – | St.Etienne | 1 | – | 2 | @ 45% | >>> | 1 | – | 1 |
| 2016-01-24: | Lyon | – | Marseille | 1 | – | 1 | @ 37% | >>> | 1 | – | 1 |
Correct tendency for matchday 22: 7 out of 10 / 70% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 103 out of 220 / 47% (“by chance” would be ø ~33%)
Matchday 21: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-01-15: | Nice | – | Angers | 1 | – | 1 | @ 27% | >>> | 2 | – | 1 |
| 2016-01-16: | Toulouse | – | Paris St.G. | 0 | – | 2 | @ 63% | >>> | 0 | – | 1 |
| 2016-01-16: | Guingamp | – | Nantes | 1 | – | 1 | @ 31% | >>> | 2 | – | 2 |
| 2016-01-16: | Troyes | – | Rennes | 1 | – | 2 | @ 52% | >>> | 2 | – | 4 |
| 2016-01-16: | Bordeaux | – | Lille | 2 | – | 1 | @ 38% | >>> | 1 | – | 0 |
| 2016-01-16: | GFC Ajaccio | – | Reims | 1 | – | 0 | @ 50% | >>> | 2 | – | 2 |
| 2016-01-16: | Bastia | – | Montpellier | 2 | – | 1 | @ 43% | >>> | 1 | – | 0 |
| 2016-01-17: | Lorient | – | Monaco | 1 | – | 2 | @ 46% | >>> | 0 | – | 2 |
| 2016-01-17: | Caen | – | Marseille | 0 | – | 1 | @ 47% | >>> | 1 | – | 3 |
| 2016-01-17: | St.Etienne | – | Lyon | 2 | – | 1 | @ 46% | >>> | 1 | – | 0 |
Correct tendency for matchday 21: 8 out of 10 / 80% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 96 out of 210 / 46% (“by chance” would be ø ~33%)
Matchday 20: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-01-08: | Paris St.G. | – | Bastia | 2 | – | 0 | @ 70% | >>> | 2 | – | 0 |
| 2016-01-09: | Lyon | – | Troyes | 2 | – | 1 | @ 59% | >>> | 4 | – | 1 |
| 2016-01-09: | Angers | – | Caen | 2 | – | 1 | @ 36% | >>> | 2 | – | 0 |
| 2016-01-09: | Monaco | – | GFC Ajaccio | 1 | – | 0 | @ 57% | >>> | 2 | – | 2 |
| 2016-01-09: | Montpellier | – | Bordeaux | 2 | – | 1 | @ 42% | >>> | 0 | – | 1 |
| 2016-01-09: | Reims | – | Toulouse | 1 | – | 1 | @ 30% | >>> | 1 | – | 3 |
| 2016-01-09: | Rennes | – | Lorient | 2 | – | 1 | @ 43% | >>> | 2 | – | 2 |
| 2016-01-10: | Nantes | – | St.Etienne | 1 | – | 2 | @ 43% | >>> | 2 | – | 1 |
| 2016-01-10: | Lille | – | Nice | 2 | – | 1 | @ 44% | >>> | 1 | – | 1 |
| 2016-01-10: | Marseille | – | Guingamp | 2 | – | 0 | @ 61% | >>> | 0 | – | 0 |
Correct tendency for matchday 20: 3 out of 10 / 30% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 88 out of 200 / 44% (“by chance” would be ø ~33%)
Matchday 19: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-12-18: | Nice | – | Montpellier | 2 | – | 1 | @ 39% | >>> | 1 | – | 0 |
| 2015-12-19: | Caen | – | Paris St.G. | 0 | – | 2 | @ 54% | >>> | 0 | – | 3 |
| 2015-12-19: | Guingamp | – | Rennes | 1 | – | 2 | @ 44% | >>> | 0 | – | 2 |
| 2015-12-19: | Troyes | – | Monaco | 1 | – | 2 | @ 54% | >>> | 0 | – | 0 |
| 2015-12-19: | Lorient | – | Nantes | 1 | – | 0 | @ 43% | >>> | 0 | – | 0 |
| 2015-12-19: | Bastia | – | Reims | 1 | – | 1 | @ 37% | >>> | 2 | – | 0 |
| 2015-12-19: | Toulouse | – | Lille | 1 | – | 1 | @ 32% | >>> | 1 | – | 1 |
| 2015-12-20: | St.Etienne | – | Angers | 1 | – | 1 | @ 33% | >>> | 1 | – | 0 |
| 2015-12-20: | GFC Ajaccio | – | Lyon | 1 | – | 1 | @ 33% | >>> | 2 | – | 1 |
| 2015-12-20: | Bordeaux | – | Marseille | 1 | – | 2 | @ 43% | >>> | 1 | – | 1 |
Correct tendency for matchday 19: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 85 out of 190 / 45% (“by chance” would be ø ~33%)
Matchday 18: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-12-11: | Rennes | – | Caen | 1 | – | 1 | @ 24% | >>> | 1 | – | 1 |
| 2015-12-12: | Reims | – | Nice | 1 | – | 1 | @ 28% | >>> | 1 | – | 1 |
| 2015-12-12: | Troyes | – | Bastia | 0 | – | 0 | @ 39% | >>> | 1 | – | 1 |
| 2015-12-12: | Nantes | – | Toulouse | 2 | – | 1 | @ 43% | >>> | 1 | – | 1 |
| 2015-12-12: | Lille | – | Lorient | 1 | – | 1 | @ 29% | >>> | 3 | – | 0 |
| 2015-12-12: | Montpellier | – | Guingamp | 2 | – | 1 | @ 49% | >>> | 2 | – | 1 |
| 2015-12-13: | Monaco | – | St.Etienne | 2 | – | 1 | @ 53% | >>> | 1 | – | 0 |
| 2015-12-13: | Angers | – | Bordeaux | 1 | – | 0 | @ 41% | >>> | 1 | – | 1 |
| 2015-12-13: | Marseille | – | GFC Ajaccio | 1 | – | 1 | @ 30% | >>> | 1 | – | 1 |
| 2015-12-13: | Paris St.G. | – | Lyon | 2 | – | 1 | @ 61% | >>> | 5 | – | 1 |
Correct tendency for matchday 18: 7 out of 10 / 70% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 81 out of 180 / 45% (“by chance” would be ø ~33%)
Matchday 17: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-12-04: | Nice | – | Paris St.G. | 0 | – | 2 | @ 59% | >>> | 0 | – | 3 |
| 2015-12-05: | Lyon | – | Angers | 2 | – | 1 | @ 49% | >>> | 0 | – | 2 |
| 2015-12-05: | GFC Ajaccio | – | Nantes | 1 | – | 0 | @ 46% | >>> | 1 | – | 1 |
| 2015-12-05: | Bastia | – | Monaco | 0 | – | 1 | @ 45% | >>> | 1 | – | 2 |
| 2015-12-05: | Caen | – | Lille | 2 | – | 1 | @ 40% | >>> | 1 | – | 2 |
| 2015-12-05: | Reims | – | Troyes | 2 | – | 0 | @ 60% | >>> | 1 | – | 1 |
| 2015-12-05: | Toulouse | – | Lorient | 1 | – | 0 | @ 43% | >>> | 2 | – | 3 |
| 2015-12-06: | Marseille | – | Montpellier | 2 | – | 1 | @ 55% | >>> | 2 | – | 2 |
| 2015-12-06: | Bordeaux | – | Guingamp | 2 | – | 1 | @ 46% | >>> | 1 | – | 0 |
| 2015-12-06: | St.Etienne | – | Rennes | 2 | – | 1 | @ 49% | >>> | 1 | – | 1 |
Correct tendency for matchday 17: 3 out of 10 / 30% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 74 out of 170 / 44% (“by chance” would be ø ~33%)
Matchday 16: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-12-01: | Angers | – | Paris St.G. | 1 | – | 2 | @ 61% | >>> | 0 | – | 0 |
| 2015-12-01: | Lorient | – | Nice | 1 | – | 1 | @ 31% | >>> | 0 | – | 0 |
| 2015-12-01: | Nantes | – | Lyon | 1 | – | 2 | @ 48% | >>> | 0 | – | 0 |
| 2015-12-02: | Monaco | – | Caen | 1 | – | 1 | @ 24% | >>> | 1 | – | 1 |
| 2015-12-02: | Guingamp | – | Reims | 1 | – | 0 | @ 48% | >>> | 1 | – | 2 |
| 2015-12-02: | Troyes | – | Toulouse | 1 | – | 1 | @ 33% | >>> | 0 | – | 3 |
| 2015-12-02: | Montpellier | – | GFC Ajaccio | 2 | – | 1 | @ 53% | >>> | 0 | – | 2 |
| 2015-12-02: | Bastia | – | Bordeaux | 1 | – | 1 | @ 29% | >>> | 1 | – | 0 |
| 2015-12-02: | Lille | – | St.Etienne | 1 | – | 1 | @ 29% | >>> | 1 | – | 0 |
| 2015-12-03: | Rennes | – | Marseille | 1 | – | 2 | @ 39% | >>> | 0 | – | 1 |
Correct tendency for matchday 16: 3 out of 10 / 30% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 71 out of 160 / 44% (“by chance” would be ø ~33%)
Matchday 15: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-11-27: | Lyon | – | Montpellier | 2 | – | 1 | @ 58% | >>> | 2 | – | 4 |
| 2015-11-28: | Paris St.G. | – | Troyes | 2 | – | 0 | @ 73% | >>> | 4 | – | 1 |
| 2015-11-28: | Angers | – | Lille | 1 | – | 1 | @ 29% | >>> | 2 | – | 0 |
| 2015-11-28: | Nantes | – | Bastia | 2 | – | 1 | @ 52% | >>> | 0 | – | 0 |
| 2015-11-28: | GFC Ajaccio | – | Lorient | 1 | – | 1 | @ 28% | >>> | 1 | – | 1 |
| 2015-11-28: | Reims | – | Rennes | 1 | – | 2 | @ 43% | >>> | 2 | – | 2 |
| 2015-11-28: | Toulouse | – | Nice | 1 | – | 2 | @ 45% | >>> | 2 | – | 0 |
| 2015-11-29: | St.Etienne | – | Guingamp | 2 | – | 1 | @ 52% | >>> | 3 | – | 0 |
| 2015-11-29: | Bordeaux | – | Caen | 1 | – | 0 | @ 46% | >>> | 1 | – | 4 |
| 2015-11-29: | Marseille | – | Monaco | 1 | – | 1 | @ 33% | >>> | 3 | – | 3 |
Correct tendency for matchday 15: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 68 out of 150 / 45% (“by chance” would be ø ~33%)
Matchday 14: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-11-20: | Nice | – | Lyon | 1 | – | 2 | @ 50% | >>> | 3 | – | 0 |
| 2015-11-21: | Lorient | – | Paris St.G. | 0 | – | 2 | @ 59% | >>> | 1 | – | 2 |
| 2015-11-21: | Monaco | – | Nantes | 1 | – | 0 | @ 56% | >>> | 1 | – | 0 |
| 2015-11-21: | Guingamp | – | Toulouse | 1 | – | 0 | @ 43% | >>> | 2 | – | 0 |
| 2015-11-21: | Troyes | – | Lille | 1 | – | 2 | @ 51% | >>> | 1 | – | 1 |
| 2015-11-21: | Montpellier | – | Reims | 2 | – | 1 | @ 51% | >>> | 3 | – | 1 |
| 2015-11-21: | Bastia | – | GFC Ajaccio | 2 | – | 1 | @ 46% | >>> | 1 | – | 2 |
| 2015-11-22: | Caen | – | Angers | 2 | – | 1 | @ 49% | >>> | 0 | – | 0 |
| 2015-11-22: | Rennes | – | Bordeaux | 1 | – | 1 | @ 32% | >>> | 2 | – | 2 |
| 2015-11-22: | St.Etienne | – | Marseille | 1 | – | 1 | @ 36% | >>> | 0 | – | 2 |
Correct tendency for matchday 14: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 64 out of 140 / 46% (“by chance” would be ø ~33%)
Matchday 13: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-11-06: | Angers | – | Rennes | 2 | – | 1 | @ 37% | >>> | 0 | – | 2 |
| 2015-11-07: | Paris St.G. | – | Toulouse | 2 | – | 0 | @ 68% | >>> | 5 | – | 0 |
| 2015-11-07: | Lorient | – | Troyes | 2 | – | 1 | @ 56% | >>> | 4 | – | 1 |
| 2015-11-07: | Lille | – | Bastia | 1 | – | 0 | @ 51% | >>> | 1 | – | 1 |
| 2015-11-07: | Montpellier | – | Nantes | 1 | – | 1 | @ 35% | >>> | 2 | – | 1 |
| 2015-11-07: | Caen | – | Guingamp | 1 | – | 0 | @ 39% | >>> | 2 | – | 1 |
| 2015-11-07: | Reims | – | GFC Ajaccio | 2 | – | 1 | @ 52% | >>> | 1 | – | 2 |
| 2015-11-08: | Marseille | – | Nice | 1 | – | 1 | @ 28% | >>> | 0 | – | 1 |
| 2015-11-08: | Bordeaux | – | Monaco | 0 | – | 1 | @ 49% | >>> | 3 | – | 1 |
| 2015-11-08: | Lyon | – | St.Etienne | 2 | – | 1 | @ 59% | >>> | 3 | – | 0 |
Correct tendency for matchday 13: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 59 out of 130 / 45% (“by chance” would be ø ~33%)
Matchday 12: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-10-30: | Rennes | – | Paris St.G. | 1 | – | 2 | @ 59% | >>> | 0 | – | 1 |
| 2015-10-31: | St.Etienne | – | Reims | 2 | – | 1 | @ 59% | >>> | 3 | – | 0 |
| 2015-10-31: | Guingamp | – | Lorient | 1 | – | 0 | @ 39% | >>> | 2 | – | 2 |
| 2015-10-31: | Troyes | – | Lyon | 1 | – | 2 | @ 62% | >>> | 0 | – | 1 |
| 2015-10-31: | GFC Ajaccio | – | Bordeaux | 1 | – | 2 | @ 47% | >>> | 2 | – | 0 |
| 2015-10-31: | Bastia | – | Caen | 0 | – | 1 | @ 41% | >>> | 1 | – | 0 |
| 2015-10-31: | Toulouse | – | Montpellier | 1 | – | 1 | @ 29% | >>> | 1 | – | 1 |
| 2015-11-01: | Nice | – | Lille | 2 | – | 1 | @ 39% | >>> | 0 | – | 0 |
| 2015-11-01: | Monaco | – | Angers | 1 | – | 0 | @ 46% | >>> | 1 | – | 0 |
| 2015-11-01: | Nantes | – | Marseille | 0 | – | 1 | @ 39% | >>> | 0 | – | 1 |
Correct tendency for matchday 12: 6 out of 10 / 60% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 55 out of 120 / 46% (“by chance” would be ø ~33%)
Matchday 11: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-10-23: | Caen | – | Nantes | 1 | – | 0 | @ 51% | >>> | 0 | – | 2 |
| 2015-10-23: | Lyon | – | Toulouse | 2 | – | 1 | @ 58% | >>> | 3 | – | 0 |
| 2015-10-24: | Lorient | – | Rennes | 2 | – | 1 | @ 35% | >>> | 1 | – | 1 |
| 2015-10-24: | Angers | – | Guingamp | 1 | – | 0 | @ 44% | >>> | 0 | – | 0 |
| 2015-10-24: | GFC Ajaccio | – | Nice | 1 | – | 2 | @ 54% | >>> | 3 | – | 1 |
| 2015-10-24: | Montpellier | – | Bastia | 2 | – | 1 | @ 54% | >>> | 2 | – | 0 |
| 2015-10-25: | Reims | – | Monaco | 0 | – | 1 | @ 42% | >>> | 0 | – | 1 |
| 2015-10-25: | Bordeaux | – | Troyes | 2 | – | 1 | @ 59% | >>> | 1 | – | 0 |
| 2015-10-25: | Lille | – | Marseille | 2 | – | 1 | @ 44% | >>> | 1 | – | 2 |
| 2015-10-25: | Paris St.G. | – | St.Etienne | 1 | – | 0 | @ 67% | >>> | 4 | – | 1 |
Correct tendency for matchday 11: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 49 out of 110 / 45% (“by chance” would be ø ~33%)
Matchday 10: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-10-16: | Monaco | – | Lyon | 1 | – | 1 | @ 37% | >>> | 1 | – | 1 |
| 2015-10-17: | Bastia | – | Paris St.G. | 0 | – | 2 | @ 56% | >>> | 0 | – | 2 |
| 2015-10-17: | St.Etienne | – | GFC Ajaccio | 2 | – | 1 | @ 57% | >>> | 2 | – | 0 |
| 2015-10-17: | Guingamp | – | Lille | 1 | – | 1 | @ 36% | >>> | 1 | – | 1 |
| 2015-10-17: | Nantes | – | Troyes | 1 | – | 0 | @ 49% | >>> | 3 | – | 0 |
| 2015-10-17: | Reims | – | Caen | 0 | – | 0 | @ 32% | >>> | 0 | – | 1 |
| 2015-10-17: | Toulouse | – | Angers | 1 | – | 1 | @ 25% | >>> | 1 | – | 2 |
| 2015-10-18: | Marseille | – | Lorient | 2 | – | 1 | @ 43% | >>> | 1 | – | 1 |
| 2015-10-18: | Bordeaux | – | Montpellier | 2 | – | 1 | @ 49% | >>> | 0 | – | 0 |
| 2015-10-18: | Rennes | – | Nice | 1 | – | 1 | @ 38% | >>> | 1 | – | 4 |
Correct tendency for matchday 10: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 44 out of 100 / 44% (“by chance” would be ø ~33%)
Matchday 9: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-10-02: | Lille | – | Montpellier | 1 | – | 1 | @ 41% | >>> | 2 | – | 0 |
| 2015-10-03: | Lyon | – | Reims | 2 | – | 1 | @ 43% | >>> | 1 | – | 0 |
| 2015-10-03: | Angers | – | Bastia | 1 | – | 1 | @ 41% | >>> | 1 | – | 0 |
| 2015-10-03: | Troyes | – | Guingamp | 1 | – | 1 | @ 45% | >>> | 0 | – | 1 |
| 2015-10-03: | GFC Ajaccio | – | Toulouse | 1 | – | 2 | @ 43% | >>> | 2 | – | 2 |
| 2015-11-04: | Nice | – | Nantes | 2 | – | 1 | @ 48% | >>> | 1 | – | 2 |
| 2015-10-04: | Monaco | – | Rennes | 2 | – | 1 | @ 39% | >>> | 1 | – | 1 |
| 2015-10-04: | Lorient | – | Bordeaux | 1 | – | 1 | @ 34% | >>> | 3 | – | 2 |
| 2015-10-04: | Caen | – | St.Etienne | 1 | – | 2 | @ 46% | >>> | 1 | – | 0 |
| 2015-10-04: | Paris St.G. | – | Marseille | 2 | – | 1 | @ 60% | >>> | 2 | – | 1 |
Correct tendency for matchday 9: 2 out of 10 / 20% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 39 out of 90 / 43% (“by chance” would be ø ~33%)
Matchday 8: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-09-25: | Reims | – | Lille | 1 | – | 1 | @ 40% | >>> | 1 | – | 0 |
| 2015-09-26: | Nantes | – | Paris St.G. | 0 | – | 2 | @ 56% | >>> | 1 | – | 4 |
| 2015-09-26: | Bordeaux | – | Lyon | 1 | – | 2 | @ 55% | >>> | 3 | – | 1 |
| 2015-09-26: | Bastia | – | Toulouse | 0 | – | 0 | @ 31% | >>> | 3 | – | 0 |
| 2015-09-26: | Caen | – | GFC Ajaccio | 2 | – | 1 | @ 49% | >>> | 2 | – | 0 |
| 2015-09-26: | Rennes | – | Troyes | 2 | – | 1 | @ 47% | >>> | 1 | – | 1 |
| 2015-09-27: | Marseille | – | Angers | 2 | – | 1 | @ 49% | >>> | 1 | – | 2 |
| 2015-09-27: | Guingamp | – | Monaco | 1 | – | 2 | @ 47% | >>> | 3 | – | 3 |
| 2015-09-27: | Montpellier | – | Lorient | 1 | – | 1 | @ 28% | >>> | 2 | – | 1 |
| 2015-09-27: | St.Etienne | – | Nice | 2 | – | 1 | @ 61% | >>> | 1 | – | 4 |
Correct tendency for matchday 8: 2 out of 10 / 20% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 37 out of 80 / 46% (“by chance” would be ø ~33%)
Matchday 7: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-09-22: | Angers | – | Reims | 1 | – | 1 | @ 23% | >>> | 0 | – | 0 |
| 2015-09-22: | Paris St.G. | – | Guingamp | 2 | – | 0 | @ 51% | >>> | 3 | – | 0 |
| 2015-09-23: | Troyes | – | St.Etienne | 1 | – | 2 | @ 60% | >>> | 0 | – | 1 |
| 2015-09-23: | Lorient | – | Caen | 0 | – | 0 | @ 34% | >>> | 2 | – | 0 |
| 2015-09-23: | GFC Ajaccio | – | Rennes | 1 | – | 2 | @ 52% | >>> | 1 | – | 1 |
| 2015-09-23: | Nice | – | Bordeaux | 2 | – | 2 | @ 42% | >>> | 6 | – | 1 |
| 2015-09-23: | Lyon | – | Bastia | 2 | – | 1 | @ 58% | >>> | 2 | – | 0 |
| 2015-09-23: | Toulouse | – | Marseille | 1 | – | 1 | @ 35% | >>> | 1 | – | 1 |
| 2015-09-24: | Montpellier | – | Monaco | 1 | – | 2 | @ 52% | >>> | 2 | – | 3 |
| 2015-09-29: | Lille | – | Nantes | 1 | – | 0 | @ 57% | >>> | 0 | – | 1 |
Correct tendency for matchday 7: 6 out of 10 / 60% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 35 out of 70 / 50% (“by chance” would be ø ~33%)
Matchday 6: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-09-18: | Rennes | – | Lille | 2 | – | 1 | @ 46% | >>> | 1 | – | 1 |
| 2015-09-19: | Reims | – | Paris St.G. | 1 | – | 2 | @ 46% | >>> | 1 | – | 1 |
| 2015-09-19: | Angers | – | Troyes | 0 | – | 0 | @ 46% | >>> | 1 | – | 0 |
| 2015-09-19: | Guingamp | – | GFC Ajaccio | 2 | – | 1 | @ 47% | >>> | 2 | – | 1 |
| 2015-09-19: | Bastia | – | Nice | 1 | – | 2 | @ 44% | >>> | 1 | – | 3 |
| 2015-09-19: | Caen | – | Montpellier | 1 | – | 0 | @ 39% | >>> | 2 | – | 1 |
| 2015-09-20: | Bordeaux | – | Toulouse | 2 | – | 1 | @ 50% | >>> | 1 | – | 1 |
| 2015-09-20: | Monaco | – | Lorient | 1 | – | 0 | @ 48% | >>> | 2 | – | 3 |
| 2015-09-20: | St.Etienne | – | Nantes | 2 | – | 1 | @ 61% | >>> | 2 | – | 0 |
| 2015-09-20: | Marseille | – | Lyon | 1 | – | 1 | @ 40% | >>> | 1 | – | 1 |
Correct tendency for matchday 6: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 29 out of 60 / 48% (“by chance” would be ø ~33%)
Matchday 5: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-09-13: | GFC Ajaccio | – | Monaco | 0 | – | 1 | @ 49% | >>> | 0 | – | 1 |
| 2015-09-12: | Lorient | – | Angers | 1 | – | 1 | @ 30% | >>> | 3 | – | 1 |
| 2015-09-12: | Lyon | – | Lille | 2 | – | 1 | @ 51% | >>> | 0 | – | 0 |
| 2015-09-13: | Marseille | – | Bastia | 1 | – | 0 | @ 43% | >>> | 4 | – | 1 |
| 2015-09-12: | Montpellier | – | St.Etienne | 1 | – | 2 | @ 56% | >>> | 1 | – | 2 |
| 2015-09-13: | Nantes | – | Rennes | 1 | – | 2 | @ 42% | >>> | 0 | – | 2 |
| 2015-09-12: | Nice | – | Guingamp | 2 | – | 1 | @ 43% | >>> | 0 | – | 1 |
| 2015-09-11: | Paris St.G. | – | Bordeaux | 2 | – | 0 | @ 61% | >>> | 2 | – | 2 |
| 2015-09-12: | Toulouse | – | Reims | 1 | – | 1 | @ 27% | >>> | 2 | – | 2 |
| 2015-09-12: | Troyes | – | Caen | 1 | – | 1 | @ 44% | >>> | 1 | – | 3 |
Correct tendency for matchday 5: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 24 out of 50 / 48% (“by chance” would be ø ~33%)
Matchday 4: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-08-28: | Guingamp | – | Marseille | 1 | – | 2 | @ 43% | >>> | 2 | – | 0 |
| 2015-08-29: | Caen | – | Lyon | 0 | – | 1 | @ 30% | >>> | 0 | – | 4 |
| 2015-08-29: | Angers | – | Nice | 1 | – | 1 | @ 38% | >>> | 1 | – | 1 |
| 2015-08-29: | Troyes | – | Montpellier | 1 | – | 1 | @ 41% | >>> | 0 | – | 0 |
| 2015-08-29: | Lille | – | GFC Ajaccio | 2 | – | 1 | @ 51% | >>> | 1 | – | 0 |
| 2015-08-29: | Reims | – | Lorient | 1 | – | 1 | @ 32% | >>> | 4 | – | 1 |
| 2015-08-29: | Rennes | – | Toulouse | 1 | – | 1 | @ 28% | >>> | 3 | – | 1 |
| 2015-08-30: | St.Etienne | – | Bastia | 2 | – | 1 | @ 41% | >>> | 2 | – | 1 |
| 2015-08-30: | Bordeaux | – | Nantes | 1 | – | 0 | @ 41% | >>> | 2 | – | 0 |
| 2015-08-30: | Monaco | – | Paris St.G. | 1 | – | 1 | @ 43% | >>> | 0 | – | 3 |
Correct tendency for matchday 4: 6 out of 10 / 60% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 19 out of 40 / 48% (“by chance” would be ø ~33%)
Matchday 3: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-08-21: | Montpellier | – | Paris St.G. | 0 | – | 2 | @ 41% | >>> | 0 | – | 1 |
| 2015-08-22: | Lyon | – | Rennes | 2 | – | 1 | @ 39% | >>> | 1 | – | 2 |
| 2015-08-22: | Nantes | – | Reims | 1 | – | 1 | @ 17% | >>> | 1 | – | 0 |
| 2015-08-22: | GFC Ajaccio | – | Angers | 1 | – | 1 | @ 30% | >>> | 0 | – | 2 |
| 2015-08-22: | Nice | – | Caen | 0 | – | 0 | @ 32% | >>> | 2 | – | 1 |
| 2015-08-22: | Bastia | – | Guingamp | 1 | – | 1 | @ 34% | >>> | 3 | – | 0 |
| 2015-08-22: | Toulouse | – | Monaco | 0 | – | 1 | @ 34% | >>> | 1 | – | 1 |
| 2015-08-23: | Lille | – | Bordeaux | 2 | – | 2 | @ 37% | >>> | 0 | – | 0 |
| 2015-08-23: | Lorient | – | St.Etienne | 1 | – | 2 | @ 32% | >>> | 0 | – | 1 |
| 2015-08-23: | Marseille | – | Troyes | 2 | – | 1 | @ 38% | >>> | 6 | – | 0 |
Correct tendency for matchday 3: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 13 out of 30 / 43% (“by chance” would be ø ~33%)
Matchday 2: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-08-14: | Monaco | – | Lille | 1 | – | 0 | @ 40% | >>> | 0 | – | 0 |
| 2015-08-15: | St.Etienne | – | Bordeaux | 2 | – | 2 | @ 25% | >>> | 1 | – | 1 |
| 2015-08-15: | Angers | – | Nantes | 1 | – | 1 | @ 23% | >>> | 0 | – | 0 |
| 2015-08-15: | Guingamp | – | Lyon | 0 | – | 2 | @ 25% | >>> | 0 | – | 1 |
| 2015-08-15: | Troyes | – | Nice | 0 | – | 0 | @ 32% | >>> | 3 | – | 3 |
| 2015-08-15: | Caen | – | Toulouse | 1 | – | 1 | @ 23% | >>> | 1 | – | 0 |
| 2015-08-15: | Rennes | – | Montpellier | 1 | – | 1 | @ 26% | >>> | 1 | – | 0 |
| 2015-08-16: | Reims | – | Marseille | 1 | – | 2 | @ 22% | >>> | 1 | – | 0 |
| 2015-08-16: | Lorient | – | Bastia | 1 | – | 1 | @ 21% | >>> | 1 | – | 1 |
| 2015-08-16: | Paris St.G. | – | GFC Ajaccio | 2 | – | 0 | @ 40% | >>> | 2 | – | 0 |
Correct tendency for matchday 2: 6 out of 10 / 60% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 9 out of 20 / 45% (“by chance” would be ø ~33%)
Matchday 1: Ligue 1 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-08-07: | Lille | – | Paris St.G. | 1 | – | 2 | @ 21% | >>> | 0 | – | 1 |
| 2015-08-08: | Nantes | – | Guingamp | 1 | – | 1 | @ 19% | >>> | 1 | – | 0 |
| 2015-08-08: | Troyes | – | GFC Ajaccio | 1 | – | 1 | @ 22% | >>> | 0 | – | 0 |
| 2015-08-08: | Montpellier | – | Angers | 2 | – | 1 | @ 25% | >>> | 0 | – | 2 |
| 2015-08-08: | Nice | – | Monaco | 0 | – | 1 | @ 22% | >>> | 1 | – | 2 |
| 2015-08-08: | Marseille | – | Caen | 2 | – | 1 | @ 27% | >>> | 0 | – | 1 |
| 2015-08-08: | Bastia | – | Rennes | 1 | – | 2 | @ 20% | >>> | 2 | – | 1 |
| 2015-08-09: | Bordeaux | – | Reims | 2 | – | 1 | @ 28% | >>> | 1 | – | 2 |
| 2015-08-09: | Toulouse | – | St.Etienne | 1 | – | 2 | @ 20% | >>> | 2 | – | 1 |
| 2015-08-09: | Lyon | – | Lorient | 2 | – | 0 | @ 27% | >>> | 0 | – | 0 |
Correct tendency for matchday 1: 3 out of 10 / 30% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 3 out of 10 / 30% (“by chance” would be ø ~33%)
* DMSC (Data.Mining.Soccer-Confidence) 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].
Data mining software used: [Data.Mining.Fox® (DMF) by Easy.Data.Mining™]
