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: Serie A 2015/16
Total table:
Home table:
Away table:
Matchday 38: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-05-14: | Juventus | – | Sampdoria | 2 | – | 1 | @ 65% | >>> | 5 | – | 0 |
| 2016-05-14: | Napoli | – | Frosinone Calcio | 2 | – | 0 | @ 68% | >>> | 4 | – | 0 |
| 2016-05-14: | Sassuolo | – | Inter Milan | 1 | – | 1 | @ 40% | >>> | 3 | – | 1 |
| 2016-05-14: | Milan | – | Roma | 1 | – | 2 | @ 42% | >>> | 1 | – | 3 |
| 2016-05-15: | Genoa | – | Atalanta | 2 | – | 1 | @ 51% | >>> | 1 | – | 2 |
| 2016-05-15: | Chievo | – | Bologna FC | 1 | – | 1 | @ 36% | >>> | 0 | – | 0 |
| 2016-05-15: | Empoli | – | Torino | 1 | – | 1 | @ 43% | >>> | 2 | – | 1 |
| 2016-05-15: | Udinese | – | Carpi FC | 1 | – | 1 | @ 40% | >>> | 1 | – | 2 |
| 2016-05-15: | Lazio | – | Fiorentina | 2 | – | 1 | @ 50% | >>> | 2 | – | 4 |
| 2016-05-15: | Palermo | – | Verona | 1 | – | 0 | @ 45% | >>> | 3 | – | 2 |
Correct tendency for matchday 38: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 183 out of 380 / 48% (“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: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-05-07: | Inter Milan | – | Empoli | 2 | – | 0 | @ 58% | >>> | 2 | – | 1 |
| 2016-05-07: | Bologna FC | – | Milan | 1 | – | 1 | @ 37% | >>> | 0 | – | 1 |
| 2016-05-08: | Roma | – | Chievo | 2 | – | 1 | @ 63% | >>> | 3 | – | 0 |
| 2016-05-08: | Sampdoria | – | Genoa | 2 | – | 1 | @ 46% | >>> | 0 | – | 3 |
| 2016-05-08: | Carpi FC | – | Lazio | 0 | – | 0 | @ 37% | >>> | 1 | – | 3 |
| 2016-05-08: | Fiorentina | – | Palermo | 2 | – | 1 | @ 52% | >>> | 0 | – | 0 |
| 2016-05-08: | Frosinone Calcio | – | Sassuolo | 0 | – | 1 | @ 45% | >>> | 0 | – | 1 |
| 2016-05-08: | Atalanta | – | Udinese | 1 | – | 1 | @ 40% | >>> | 1 | – | 1 |
| 2016-05-08: | Verona | – | Juventus | 0 | – | 2 | @ 65% | >>> | 2 | – | 1 |
| 2016-05-08: | Torino | – | Napoli | 0 | – | 1 | @ 46% | >>> | 1 | – | 2 |
Correct tendency for matchday 37: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 178 out of 370 / 48% (“by chance” would be ø ~33%)
Matchday 36: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-04-30: | Udinese | – | Torino | 1 | – | 1 | @ 40% | >>> | 1 | – | 5 |
| 2016-04-30: | Chievo | – | Fiorentina | 1 | – | 1 | @ 41% | >>> | 0 | – | 0 |
| 2016-05-01: | Juventus | – | Carpi FC | 2 | – | 0 | @ 66% | >>> | 2 | – | 0 |
| 2016-05-01: | Empoli | – | Bologna FC | 0 | – | 0 | @ 35% | >>> | 0 | – | 0 |
| 2016-05-01: | Milan | – | Frosinone Calcio | 1 | – | 0 | @ 57% | >>> | 3 | – | 3 |
| 2016-05-01: | Sassuolo | – | Verona | 2 | – | 0 | @ 53% | >>> | 1 | – | 0 |
| 2016-05-01: | Palermo | – | Sampdoria | 1 | – | 1 | @ 38% | >>> | 2 | – | 0 |
| 2016-05-01: | Lazio | – | Inter Milan | 1 | – | 1 | @ 40% | >>> | 2 | – | 0 |
| 2016-05-02: | Genoa | – | Roma | 1 | – | 2 | @ 46% | >>> | 2 | – | 3 |
| 2016-05-02: | Napoli | – | Atalanta | 2 | – | 0 | @ 59% | >>> | 2 | – | 1 |
Correct tendency for matchday 36: 6 out of 10 / 60% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 173 out of 360 / 48% (“by chance” would be ø ~33%)
Matchday 35: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-04-23: | Inter Milan | – | Udinese | 1 | – | 0 | @ 58% | >>> | 3 | – | 1 |
| 2016-04-24: | Frosinone Calcio | – | Palermo | 1 | – | 1 | @ 41% | >>> | 0 | – | 2 |
| 2016-04-24: | Atalanta | – | Chievo | 1 | – | 1 | @ 38% | >>> | 1 | – | 0 |
| 2016-04-24: | Bologna FC | – | Genoa | 1 | – | 1 | @ 35% | >>> | 2 | – | 0 |
| 2016-04-24: | Sampdoria | – | Lazio | 1 | – | 1 | @ 43% | >>> | 2 | – | 1 |
| 2016-04-24: | Torino | – | Sassuolo | 1 | – | 1 | @ 38% | >>> | 1 | – | 3 |
| 2016-04-24: | Fiorentina | – | Juventus | 0 | – | 1 | @ 51% | >>> | 1 | – | 2 |
| 2016-04-25: | Roma | – | Napoli | 1 | – | 1 | @ 46% | >>> | 1 | – | 0 |
| 2016-04-25: | Verona | – | Milan | 0 | – | 1 | @ 45% | >>> | 2 | – | 1 |
| 2016-04-25: | Carpi FC | – | Empoli | 2 | – | 1 | @ 42% | >>> | 1 | – | 0 |
Correct tendency for matchday 35: 3 out of 10 / 30% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 167 out of 350 / 48% (“by chance” would be ø ~33%)
Matchday 34: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-04-19: | Napoli | – | Bologna FC | 2 | – | 0 | @ 58% | >>> | 6 | – | 0 |
| 2016-04-20: | Sassuolo | – | Sampdoria | 1 | – | 1 | @ 39% | >>> | 0 | – | 0 |
| 2016-04-20: | Palermo | – | Atalanta | 1 | – | 1 | @ 40% | >>> | 2 | – | 2 |
| 2016-04-20: | Udinese | – | Fiorentina | 1 | – | 2 | @ 40% | >>> | 2 | – | 1 |
| 2016-04-20: | Chievo | – | Frosinone Calcio | 2 | – | 1 | @ 49% | >>> | 5 | – | 1 |
| 2016-04-20: | Empoli | – | Verona | 1 | – | 0 | @ 45% | >>> | 1 | – | 0 |
| 2016-04-20: | Genoa | – | Inter Milan | 0 | – | 1 | @ 39% | >>> | 1 | – | 0 |
| 2016-04-20: | Juventus | – | Lazio | 1 | – | 0 | @ 65% | >>> | 3 | – | 0 |
| 2016-04-20: | Roma | – | Torino | 2 | – | 1 | @ 56% | >>> | 3 | – | 2 |
| 2016-04-21: | Milan | – | Carpi FC | 2 | – | 0 | @ 53% | >>> | 0 | – | 0 |
Correct tendency for matchday 34: 7 out of 10 / 70% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 164 out of 340 / 48% (“by chance” would be ø ~33%)
Matchday 33: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-04-16: | Bologna FC | – | Torino | 1 | – | 1 | @ 40% | >>> | 0 | – | 1 |
| 2016-04-16: | Carpi FC | – | Genoa | 1 | – | 2 | @ 41% | >>> | 4 | – | 1 |
| 2016-04-16: | Inter Milan | – | Napoli | 1 | – | 1 | @ 50% | >>> | 2 | – | 0 |
| 2016-04-17: | Atalanta | – | Roma | 1 | – | 2 | @ 50% | >>> | 3 | – | 3 |
| 2016-04-17: | Udinese | – | Chievo | 1 | – | 1 | @ 33% | >>> | 0 | – | 0 |
| 2016-04-17: | Verona | – | Frosinone Calcio | 2 | – | 1 | @ 45% | >>> | 1 | – | 2 |
| 2016-04-17: | Juventus | – | Palermo | 2 | – | 0 | @ 70% | >>> | 4 | – | 0 |
| 2016-04-17: | Fiorentina | – | Sassuolo | 1 | – | 1 | @ 40% | >>> | 3 | – | 1 |
| 2016-04-17: | Lazio | – | Empoli | 2 | – | 0 | @ 53% | >>> | 2 | – | 0 |
| 2016-04-17: | Sampdoria | – | Milan | 1 | – | 1 | @ 35% | >>> | 0 | – | 1 |
Correct tendency for matchday 33: 3 out of 10 / 30% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 157 out of 330 / 48% (“by chance” would be ø ~33%)
Matchday 32: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-04-09: | Frosinone Calcio | – | Inter Milan | 0 | – | 1 | @ 46% | >>> | 0 | – | 1 |
| 2016-04-09: | Chievo | – | Carpi FC | 2 | – | 1 | @ 43% | >>> | 1 | – | 0 |
| 2016-04-09: | Sassuolo | – | Genoa | 2 | – | 0 | @ 47% | >>> | 0 | – | 1 |
| 2016-04-09: | Milan | – | Juventus | 0 | – | 1 | @ 48% | >>> | 1 | – | 2 |
| 2016-04-10: | Empoli | – | Fiorentina | 1 | – | 2 | @ 45% | >>> | 2 | – | 0 |
| 2016-04-10: | Torino | – | Atalanta | 1 | – | 1 | @ 40% | >>> | 2 | – | 1 |
| 2016-04-10: | Napoli | – | Verona | 2 | – | 0 | @ 62% | >>> | 3 | – | 0 |
| 2016-04-10: | Sampdoria | – | Udinese | 1 | – | 1 | @ 38% | >>> | 2 | – | 0 |
| 2016-04-10: | Palermo | – | Lazio | 1 | – | 2 | @ 43% | >>> | 0 | – | 3 |
| 2016-04-11: | Roma | – | Bologna FC | 2 | – | 0 | @ 62% | >>> | 1 | – | 1 |
Correct tendency for matchday 32: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 154 out of 320 / 48% (“by chance” would be ø ~33%)
Matchday 31: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-04-02: | Carpi FC | – | Sassuolo | 1 | – | 1 | @ 37% | >>> | 1 | – | 3 |
| 2016-04-02: | Juventus | – | Empoli | 2 | – | 0 | @ 67% | >>> | 1 | – | 0 |
| 2016-04-03: | Udinese | – | Napoli | 0 | – | 1 | @ 56% | >>> | 3 | – | 1 |
| 2016-04-03: | Genoa | – | Frosinone Calcio | 2 | – | 1 | @ 56% | >>> | 4 | – | 0 |
| 2016-04-03: | Atalanta | – | Milan | 1 | – | 2 | @ 37% | >>> | 2 | – | 1 |
| 2016-04-03: | Chievo | – | Palermo | 1 | – | 0 | @ 43% | >>> | 3 | – | 1 |
| 2016-04-03: | Lazio | – | Roma | 1 | – | 2 | @ 42% | >>> | 1 | – | 4 |
| 2016-04-03: | Fiorentina | – | Sampdoria | 2 | – | 1 | @ 57% | >>> | 1 | – | 1 |
| 2016-04-03: | Inter Milan | – | Torino | 1 | – | 0 | @ 61% | >>> | 1 | – | 2 |
| 2016-04-04: | Bologna FC | – | Verona | 1 | – | 0 | @ 45% | >>> | 0 | – | 1 |
Correct tendency for matchday 31: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 149 out of 310 / 48% (“by chance” would be ø ~33%)
Matchday 30: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-03-19: | Empoli | – | Palermo | 2 | – | 1 | @ 44% | >>> | 0 | – | 0 |
| 2016-03-19: | Roma | – | Inter Milan | 2 | – | 1 | @ 54% | >>> | 1 | – | 1 |
| 2016-03-20: | Atalanta | – | Bologna FC | 1 | – | 1 | @ 34% | >>> | 2 | – | 0 |
| 2016-03-20: | Verona | – | Carpi FC | 1 | – | 1 | @ 42% | >>> | 1 | – | 2 |
| 2016-03-20: | Sampdoria | – | Chievo | 2 | – | 1 | @ 46% | >>> | 0 | – | 1 |
| 2016-03-20: | Frosinone Calcio | – | Fiorentina | 0 | – | 1 | @ 48% | >>> | 0 | – | 0 |
| 2016-03-20: | Torino | – | Juventus | 0 | – | 2 | @ 63% | >>> | 1 | – | 4 |
| 2016-03-20: | Sassuolo | – | Udinese | 2 | – | 1 | @ 49% | >>> | 1 | – | 1 |
| 2016-03-20: | Napoli | – | Genoa | 2 | – | 0 | @ 61% | >>> | 3 | – | 1 |
| 2016-03-20: | Milan | – | Lazio | 1 | – | 0 | @ 47% | >>> | 1 | – | 1 |
Correct tendency for matchday 30: 2 out of 10 / 20% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 145 out of 300 / 48% (“by chance” would be ø ~33%)
Matchday 29: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-03-11: | Juventus | – | Sassuolo | 2 | – | 0 | @ 57% | >>> | 1 | – | 0 |
| 2016-03-12: | Empoli | – | Sampdoria | 1 | – | 1 | @ 35% | >>> | 1 | – | 1 |
| 2016-03-12: | Inter Milan | – | Bologna FC | 1 | – | 0 | @ 48% | >>> | 2 | – | 1 |
| 2016-03-13: | Chievo | – | Milan | 0 | – | 1 | @ 37% | >>> | 0 | – | 0 |
| 2016-03-13: | Carpi FC | – | Frosinone Calcio | 2 | – | 1 | @ 43% | >>> | 2 | – | 1 |
| 2016-03-13: | Fiorentina | – | Verona | 2 | – | 0 | @ 64% | >>> | 1 | – | 1 |
| 2016-03-13: | Udinese | – | Roma | 0 | – | 1 | @ 52% | >>> | 1 | – | 2 |
| 2016-03-13: | Genoa | – | Torino | 2 | – | 1 | @ 46% | >>> | 3 | – | 2 |
| 2016-03-13: | Lazio | – | Atalanta | 2 | – | 1 | @ 58% | >>> | 2 | – | 0 |
| 2016-03-13: | Palermo | – | Napoli | 0 | – | 2 | @ 58% | >>> | 0 | – | 1 |
Correct tendency for matchday 29: 8 out of 10 / 80% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 143 out of 290 / 49% (“by chance” would be ø ~33%)
Matchday 28: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-03-04: | Roma | – | Fiorentina | 2 | – | 1 | @ 50% | >>> | 4 | – | 1 |
| 2016-03-05: | Verona | – | Sampdoria | 1 | – | 1 | @ 35% | >>> | 0 | – | 3 |
| 2016-03-05: | Napoli | – | Chievo | 2 | – | 0 | @ 62% | >>> | 3 | – | 1 |
| 2016-03-06: | Torino | – | Lazio | 1 | – | 1 | @ 42% | >>> | 1 | – | 1 |
| 2016-03-06: | Bologna FC | – | Carpi FC | 1 | – | 0 | @ 47% | >>> | 0 | – | 0 |
| 2016-03-06: | Genoa | – | Empoli | 2 | – | 1 | @ 44% | >>> | 1 | – | 0 |
| 2016-03-06: | Atalanta | – | Juventus | 0 | – | 2 | @ 64% | >>> | 0 | – | 2 |
| 2016-03-06: | Sassuolo | – | Milan | 0 | – | 1 | @ 37% | >>> | 2 | – | 0 |
| 2016-03-06: | Frosinone Calcio | – | Udinese | 1 | – | 2 | @ 40% | >>> | 2 | – | 0 |
| 2016-03-06: | Inter Milan | – | Palermo | 2 | – | 0 | @ 59% | >>> | 3 | – | 1 |
Correct tendency for matchday 28: 6 out of 10 / 60% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 135 out of 280 / 48% (“by chance” would be ø ~33%)
Matchday 27: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-02-28: | Empoli | – | Roma | 0 | – | 2 | @ 50% | >>> | 1 | – | 3 |
| 2016-02-28: | Milan | – | Torino | 2 | – | 1 | @ 54% | >>> | 1 | – | 0 |
| 2016-02-28: | Palermo | – | Bologna FC | 1 | – | 2 | @ 40% | >>> | 0 | – | 0 |
| 2016-02-28: | Carpi FC | – | Atalanta | 1 | – | 0 | @ 42% | >>> | 1 | – | 1 |
| 2016-02-28: | Sampdoria | – | Frosinone Calcio | 1 | – | 0 | @ 48% | >>> | 2 | – | 0 |
| 2016-02-28: | Chievo | – | Genoa | 1 | – | 2 | @ 37% | >>> | 1 | – | 0 |
| 2016-02-28: | Udinese | – | Verona | 2 | – | 1 | @ 41% | >>> | 2 | – | 0 |
| 2016-02-28: | Juventus | – | Inter Milan | 1 | – | 0 | @ 56% | >>> | 2 | – | 0 |
| 2016-02-29: | Fiorentina | – | Napoli | 1 | – | 1 | @ 43% | >>> | 1 | – | 1 |
| 2016-02-29: | Lazio | – | Sassuolo | 2 | – | 0 | @ 48% | >>> | 0 | – | 2 |
Correct tendency for matchday 27: 6 out of 10 / 60% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 129 out of 270 / 48% (“by chance” would be ø ~33%)
Matchday 26: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-02-19: | Bologna FC | – | Juventus | 0 | – | 1 | @ 52% | >>> | 0 | – | 0 |
| 2016-02-20: | Verona | – | Chievo | 1 | – | 1 | @ 34% | >>> | 3 | – | 1 |
| 2016-02-20: | Inter Milan | – | Sampdoria | 1 | – | 0 | @ 58% | >>> | 3 | – | 1 |
| 2016-02-21: | Torino | – | Carpi FC | 2 | – | 0 | @ 57% | >>> | 0 | – | 0 |
| 2016-02-21: | Sassuolo | – | Empoli | 2 | – | 1 | @ 40% | >>> | 3 | – | 2 |
| 2016-02-21: | Atalanta | – | Fiorentina | 1 | – | 2 | @ 44% | >>> | 2 | – | 3 |
| 2016-02-21: | Genoa | – | Udinese | 2 | – | 1 | @ 39% | >>> | 2 | – | 1 |
| 2016-02-21: | Frosinone Calcio | – | Lazio | 0 | – | 1 | @ 46% | >>> | 0 | – | 0 |
| 2016-02-21: | Roma | – | Palermo | 1 | – | 0 | @ 65% | >>> | 5 | – | 0 |
| 2016-02-22: | Napoli | – | Milan | 2 | – | 1 | @ 53% | >>> | 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: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-02-11: | Lazio | – | Verona | 2 | – | 0 | @ 56% | >>> | 5 | – | 2 |
| 2016-02-12: | Carpi FC | – | Roma | 0 | – | 2 | @ 48% | >>> | 1 | – | 3 |
| 2016-02-13: | Empoli | – | Frosinone Calcio | 2 | – | 0 | @ 57% | >>> | 1 | – | 2 |
| 2016-02-13: | Chievo | – | Sassuolo | 1 | – | 1 | @ 42% | >>> | 1 | – | 1 |
| 2016-02-13: | Juventus | – | Napoli | 2 | – | 1 | @ 47% | >>> | 1 | – | 0 |
| 2016-02-14: | Milan | – | Genoa | 1 | – | 0 | @ 55% | >>> | 2 | – | 1 |
| 2016-02-14: | Sampdoria | – | Atalanta | 2 | – | 1 | @ 45% | >>> | 0 | – | 0 |
| 2016-02-14: | Udinese | – | Bologna FC | 1 | – | 1 | @ 40% | >>> | 0 | – | 1 |
| 2016-02-14: | Palermo | – | Torino | 0 | – | 0 | @ 42% | >>> | 1 | – | 3 |
| 2016-02-14: | Fiorentina | – | Inter Milan | 2 | – | 1 | @ 45% | >>> | 2 | – | 1 |
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: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-02-06: | Bologna FC | – | Fiorentina | 1 | – | 2 | @ 41% | >>> | 1 | – | 1 |
| 2016-02-06: | Genoa | – | Lazio | 1 | – | 1 | @ 41% | >>> | 0 | – | 0 |
| 2016-02-07: | Verona | – | Inter Milan | 0 | – | 1 | @ 46% | >>> | 3 | – | 3 |
| 2016-02-07: | Napoli | – | Carpi FC | 2 | – | 0 | @ 68% | >>> | 1 | – | 0 |
| 2016-02-07: | Torino | – | Chievo | 2 | – | 1 | @ 47% | >>> | 1 | – | 2 |
| 2016-02-07: | Frosinone Calcio | – | Juventus | 0 | – | 2 | @ 66% | >>> | 0 | – | 2 |
| 2016-02-07: | Sassuolo | – | Palermo | 2 | – | 1 | @ 44% | >>> | 2 | – | 2 |
| 2016-02-07: | Milan | – | Udinese | 1 | – | 0 | @ 62% | >>> | 1 | – | 1 |
| 2016-02-07: | Atalanta | – | Empoli | 1 | – | 1 | @ 36% | >>> | 0 | – | 0 |
| 2016-02-07: | Roma | – | Sampdoria | 2 | – | 1 | @ 62% | >>> | 2 | – | 1 |
Correct tendency for matchday 24: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 112 out of 240 / 47% (“by chance” would be ø ~33%)
Matchday 23: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-02-02: | Sassuolo | – | Roma | 1 | – | 1 | @ 42% | >>> | 0 | – | 2 |
| 2016-02-03: | Frosinone Calcio | – | Bologna FC | 1 | – | 2 | @ 46% | >>> | 1 | – | 0 |
| 2016-02-03: | Verona | – | Atalanta | 1 | – | 1 | @ 44% | >>> | 2 | – | 1 |
| 2016-02-03: | Fiorentina | – | Carpi FC | 2 | – | 0 | @ 59% | >>> | 2 | – | 1 |
| 2016-02-03: | Inter Milan | – | Chievo | 1 | – | 0 | @ 48% | >>> | 1 | – | 0 |
| 2016-02-03: | Juventus | – | Genoa | 2 | – | 0 | @ 66% | >>> | 1 | – | 0 |
| 2016-02-03: | Palermo | – | Milan | 1 | – | 2 | @ 41% | >>> | 0 | – | 2 |
| 2016-02-03: | Lazio | – | Napoli | 1 | – | 2 | @ 46% | >>> | 0 | – | 2 |
| 2016-02-03: | Sampdoria | – | Torino | 0 | – | 0 | @ 39% | >>> | 2 | – | 2 |
| 2016-02-03: | Empoli | – | Udinese | 1 | – | 0 | @ 42% | >>> | 1 | – | 1 |
Correct tendency for matchday 23: 6 out of 10 / 60% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 107 out of 230 / 47% (“by chance” would be ø ~33%)
Matchday 22: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-01-30: | Carpi FC | – | Palermo | 1 | – | 1 | @ 40% | >>> | 1 | – | 1 |
| 2016-01-30: | Atalanta | – | Sassuolo | 1 | – | 1 | @ 37% | >>> | 1 | – | 1 |
| 2016-01-30: | Roma | – | Frosinone Calcio | 2 | – | 0 | @ 61% | >>> | 3 | – | 1 |
| 2016-01-31: | Chievo | – | Juventus | 0 | – | 2 | @ 56% | >>> | 0 | – | 4 |
| 2016-01-31: | Napoli | – | Empoli | 2 | – | 0 | @ 60% | >>> | 5 | – | 1 |
| 2016-01-31: | Genoa | – | Fiorentina | 1 | – | 1 | @ 38% | >>> | 0 | – | 0 |
| 2016-01-31: | Torino | – | Verona | 1 | – | 0 | @ 50% | >>> | 0 | – | 0 |
| 2016-01-31: | Udinese | – | Lazio | 1 | – | 1 | @ 31% | >>> | 0 | – | 0 |
| 2016-01-31: | Bologna FC | – | Sampdoria | 2 | – | 1 | @ 40% | >>> | 3 | – | 2 |
| 2016-01-31: | Milan | – | Inter Milan | 1 | – | 1 | @ 43% | >>> | 3 | – | 0 |
Correct tendency for matchday 22: 8 out of 10 / 80% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 101 out of 220 / 46% (“by chance” would be ø ~33%)
Matchday 21: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-01-23: | Frosinone Calcio | – | Atalanta | 1 | – | 2 | @ 40% | >>> | 0 | – | 0 |
| 2016-01-23: | Empoli | – | Milan | 1 | – | 1 | @ 39% | >>> | 2 | – | 2 |
| 2016-01-24: | Fiorentina | – | Torino | 2 | – | 1 | @ 52% | >>> | 2 | – | 0 |
| 2016-01-24: | Sassuolo | – | Bologna FC | 1 | – | 1 | @ 36% | >>> | 0 | – | 2 |
| 2016-01-24: | Inter Milan | – | Carpi FC | 1 | – | 0 | @ 57% | >>> | 1 | – | 1 |
| 2016-01-24: | Lazio | – | Chievo | 2 | – | 1 | @ 46% | >>> | 4 | – | 1 |
| 2016-01-24: | Verona | – | Genoa | 1 | – | 2 | @ 42% | >>> | 1 | – | 1 |
| 2016-01-24: | Sampdoria | – | Napoli | 0 | – | 1 | @ 53% | >>> | 2 | – | 4 |
| 2016-01-24: | Palermo | – | Udinese | 0 | – | 0 | @ 43% | >>> | 4 | – | 1 |
| 2016-01-24: | Juventus | – | Roma | 2 | – | 1 | @ 53% | >>> | 1 | – | 0 |
Correct tendency for matchday 21: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 93 out of 210 / 44% (“by chance” would be ø ~33%)
Matchday 20: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-01-16: | Atalanta | – | Inter Milan | 0 | – | 1 | @ 50% | >>> | 1 | – | 1 |
| 2016-01-16: | Torino | – | Frosinone Calcio | 2 | – | 1 | @ 58% | >>> | 4 | – | 2 |
| 2016-01-16: | Napoli | – | Sassuolo | 2 | – | 0 | @ 60% | >>> | 3 | – | 1 |
| 2016-01-17: | Genoa | – | Palermo | 1 | – | 1 | @ 39% | >>> | 4 | – | 0 |
| 2016-01-17: | Chievo | – | Empoli | 1 | – | 1 | @ 38% | >>> | 1 | – | 1 |
| 2016-01-17: | Roma | – | Verona | 2 | – | 1 | @ 67% | >>> | 1 | – | 1 |
| 2016-01-17: | Udinese | – | Juventus | 1 | – | 2 | @ 61% | >>> | 0 | – | 4 |
| 2016-01-17: | Bologna FC | – | Lazio | 1 | – | 2 | @ 40% | >>> | 2 | – | 2 |
| 2016-01-17: | Carpi FC | – | Sampdoria | 1 | – | 1 | @ 38% | >>> | 2 | – | 1 |
| 2016-01-17: | Milan | – | Fiorentina | 1 | – | 1 | @ 41% | >>> | 2 | – | 0 |
Correct tendency for matchday 20: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 88 out of 200 / 44% (“by chance” would be ø ~33%)
Matchday 19: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-01-09: | Carpi FC | – | Udinese | 1 | – | 2 | @ 47% | >>> | 2 | – | 1 |
| 2016-01-09: | Fiorentina | – | Lazio | 2 | – | 1 | @ 56% | >>> | 1 | – | 3 |
| 2016-01-09: | Roma | – | Milan | 2 | – | 1 | @ 47% | >>> | 1 | – | 1 |
| 2016-01-10: | Inter Milan | – | Sassuolo | 1 | – | 0 | @ 57% | >>> | 0 | – | 1 |
| 2016-01-10: | Atalanta | – | Genoa | 2 | – | 1 | @ 45% | >>> | 0 | – | 2 |
| 2016-01-10: | Bologna FC | – | Chievo | 1 | – | 1 | @ 37% | >>> | 0 | – | 1 |
| 2016-01-10: | Frosinone Calcio | – | Napoli | 0 | – | 2 | @ 61% | >>> | 1 | – | 5 |
| 2016-01-10: | Verona | – | Palermo | 0 | – | 0 | @ 42% | >>> | 0 | – | 1 |
| 2016-01-10: | Torino | – | Empoli | 1 | – | 1 | @ 35% | >>> | 0 | – | 1 |
| 2016-01-10: | Sampdoria | – | Juventus | 0 | – | 1 | @ 54% | >>> | 1 | – | 2 |
Correct tendency for matchday 19: 2 out of 10 / 20% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 84 out of 190 / 44% (“by chance” would be ø ~33%)
Matchday 18: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2016-01-05: | Genoa | – | Sampdoria | 1 | – | 1 | @ 34% | >>> | 2 | – | 3 |
| 2016-01-06: | Udinese | – | Atalanta | 1 | – | 1 | @ 42% | >>> | 2 | – | 1 |
| 2016-01-06: | Chievo | – | Roma | 1 | – | 2 | @ 41% | >>> | 3 | – | 3 |
| 2016-01-06: | Juventus | – | Verona | 2 | – | 0 | @ 71% | >>> | 3 | – | 0 |
| 2016-01-06: | Lazio | – | Carpi FC | 2 | – | 1 | @ 65% | >>> | 0 | – | 0 |
| 2016-01-06: | Milan | – | Bologna FC | 2 | – | 1 | @ 54% | >>> | 0 | – | 1 |
| 2016-01-06: | Palermo | – | Fiorentina | 0 | – | 1 | @ 51% | >>> | 1 | – | 3 |
| 2016-01-06: | Sassuolo | – | Frosinone Calcio | 1 | – | 0 | @ 60% | >>> | 2 | – | 2 |
| 2016-01-06: | Empoli | – | Inter Milan | 0 | – | 1 | @ 38% | >>> | 0 | – | 1 |
| 2016-01-06: | Napoli | – | Torino | 2 | – | 1 | @ 64% | >>> | 2 | – | 1 |
Correct tendency for matchday 18: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 82 out of 180 / 46% (“by chance” would be ø ~33%)
Matchday 17: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-12-19: | Bologna FC | – | Empoli | 1 | – | 1 | @ 39% | >>> | 2 | – | 3 |
| 2015-12-20: | Carpi FC | – | Juventus | 0 | – | 2 | @ 64% | >>> | 2 | – | 3 |
| 2015-12-20: | Atalanta | – | Napoli | 1 | – | 2 | @ 44% | >>> | 1 | – | 3 |
| 2015-12-20: | Fiorentina | – | Chievo | 2 | – | 0 | @ 55% | >>> | 2 | – | 0 |
| 2015-12-20: | Verona | – | Sassuolo | 1 | – | 2 | @ 45% | >>> | 1 | – | 1 |
| 2015-12-20: | Roma | – | Genoa | 2 | – | 0 | @ 58% | >>> | 2 | – | 0 |
| 2015-12-20: | Frosinone Calcio | – | Milan | 0 | – | 2 | @ 45% | >>> | 2 | – | 4 |
| 2015-12-20: | Sampdoria | – | Palermo | 0 | – | 0 | @ 38% | >>> | 2 | – | 0 |
| 2015-12-20: | Torino | – | Udinese | 2 | – | 1 | @ 46% | >>> | 0 | – | 1 |
| 2015-12-20: | Inter Milan | – | Lazio | 1 | – | 0 | @ 62% | >>> | 1 | – | 2 |
Correct tendency for matchday 17: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 78 out of 170 / 46% (“by chance” would be ø ~33%)
Matchday 16: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-12-12: | Genoa | – | Bologna FC | 1 | – | 1 | @ 35% | >>> | 0 | – | 1 |
| 2015-12-12: | Palermo | – | Frosinone Calcio | 1 | – | 0 | @ 44% | >>> | 4 | – | 1 |
| 2016-01-20: | Sassuolo | – | Torino | 1 | – | 1 | @ 39% | >>> | 1 | – | 1 |
| 2015-12-12: | Udinese | – | Inter Milan | 0 | – | 1 | @ 51% | >>> | 0 | – | 4 |
| 2015-12-13: | Chievo | – | Atalanta | 1 | – | 1 | @ 39% | >>> | 1 | – | 0 |
| 2015-12-13: | Empoli | – | Carpi FC | 2 | – | 1 | @ 51% | >>> | 3 | – | 0 |
| 2015-12-13: | Milan | – | Verona | 2 | – | 0 | @ 65% | >>> | 1 | – | 1 |
| 2015-12-13: | Napoli | – | Roma | 2 | – | 1 | @ 48% | >>> | 0 | – | 0 |
| 2015-12-13: | Juventus | – | Fiorentina | 1 | – | 0 | @ 51% | >>> | 3 | – | 1 |
| 2015-12-14: | Lazio | – | Sampdoria | 2 | – | 1 | @ 51% | >>> | 1 | – | 1 |
Correct tendency for matchday 16: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 73 out of 160 / 46% (“by chance” would be ø ~33%)
Matchday 15: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-12-04: | Lazio | – | Juventus | 0 | – | 1 | @ 48% | >>> | 0 | – | 2 |
| 2015-12-05: | Torino | – | Roma | 1 | – | 1 | @ 35% | >>> | 1 | – | 1 |
| 2015-12-05: | Inter Milan | – | Genoa | 2 | – | 0 | @ 60% | >>> | 1 | – | 0 |
| 2015-12-06: | Bologna FC | – | Napoli | 0 | – | 2 | @ 59% | >>> | 3 | – | 2 |
| 2015-12-06: | Atalanta | – | Palermo | 2 | – | 1 | @ 51% | >>> | 3 | – | 0 |
| 2015-12-06: | Fiorentina | – | Udinese | 2 | – | 1 | @ 57% | >>> | 3 | – | 0 |
| 2015-12-06: | Frosinone Calcio | – | Chievo | 1 | – | 1 | @ 35% | >>> | 0 | – | 2 |
| 2015-12-06: | Verona | – | Empoli | 1 | – | 2 | @ 42% | >>> | 0 | – | 1 |
| 2015-12-06: | Sampdoria | – | Sassuolo | 1 | – | 1 | @ 33% | >>> | 1 | – | 3 |
| 2015-12-06: | Carpi FC | – | Milan | 0 | – | 1 | @ 49% | >>> | 0 | – | 0 |
Correct tendency for matchday 15: 6 out of 10 / 60% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 68 out of 150 / 45% (“by chance” would be ø ~33%)
Matchday 14: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-11-28: | Torino | – | Bologna FC | 1 | – | 1 | @ 33% | >>> | 2 | – | 0 |
| 2015-11-28: | Milan | – | Sampdoria | 1 | – | 0 | @ 55% | >>> | 4 | – | 1 |
| 2015-11-29: | Chievo | – | Udinese | 1 | – | 1 | @ 42% | >>> | 2 | – | 3 |
| 2015-11-29: | Frosinone Calcio | – | Verona | 0 | – | 0 | @ 43% | >>> | 3 | – | 2 |
| 2015-11-29: | Genoa | – | Carpi FC | 2 | – | 1 | @ 63% | >>> | 1 | – | 2 |
| 2015-11-29: | Roma | – | Atalanta | 2 | – | 0 | @ 65% | >>> | 0 | – | 2 |
| 2015-11-29: | Empoli | – | Lazio | 1 | – | 1 | @ 33% | >>> | 1 | – | 0 |
| 2015-11-29: | Palermo | – | Juventus | 0 | – | 1 | @ 51% | >>> | 0 | – | 3 |
| 2015-11-30: | Sassuolo | – | Fiorentina | 1 | – | 2 | @ 41% | >>> | 1 | – | 1 |
| 2015-11-30: | Napoli | – | Inter Milan | 1 | – | 0 | @ 48% | >>> | 2 | – | 1 |
Correct tendency for matchday 14: 3 out of 10 / 30% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 62 out of 140 / 44% (“by chance” would be ø ~33%)
Matchday 13: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-11-21: | Bologna FC | – | Roma | 0 | – | 1 | @ 43% | >>> | 2 | – | 2 |
| 2015-11-21: | Juventus | – | Milan | 1 | – | 0 | @ 43% | >>> | 1 | – | 0 |
| 2015-11-22: | Udinese | – | Sampdoria | 1 | – | 1 | @ 45% | >>> | 1 | – | 0 |
| 2015-11-22: | Atalanta | – | Torino | 2 | – | 1 | @ 47% | >>> | 0 | – | 1 |
| 2015-11-22: | Carpi FC | – | Chievo | 1 | – | 1 | @ 44% | >>> | 1 | – | 2 |
| 2015-11-22: | Fiorentina | – | Empoli | 2 | – | 0 | @ 64% | >>> | 2 | – | 2 |
| 2015-11-22: | Genoa | – | Sassuolo | 1 | – | 1 | @ 33% | >>> | 2 | – | 1 |
| 2015-11-22: | Verona | – | Napoli | 0 | – | 2 | @ 62% | >>> | 0 | – | 2 |
| 2015-11-22: | Lazio | – | Palermo | 2 | – | 0 | @ 56% | >>> | 1 | – | 1 |
| 2015-11-22: | Inter Milan | – | Frosinone Calcio | 2 | – | 0 | @ 69% | >>> | 4 | – | 0 |
Correct tendency for matchday 13: 3 out of 10 / 30% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 59 out of 130 / 45% (“by chance” would be ø ~33%)
Matchday 12: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-11-07: | Verona | – | Bologna FC | 1 | – | 1 | @ 39% | >>> | 0 | – | 2 |
| 2015-11-07: | Milan | – | Atalanta | 2 | – | 1 | @ 61% | >>> | 0 | – | 0 |
| 2015-11-08: | Torino | – | Inter Milan | 0 | – | 1 | @ 44% | >>> | 0 | – | 1 |
| 2015-11-08: | Empoli | – | Juventus | 0 | – | 1 | @ 36% | >>> | 1 | – | 3 |
| 2015-11-08: | Frosinone Calcio | – | Genoa | 1 | – | 1 | @ 34% | >>> | 2 | – | 2 |
| 2015-11-08: | Palermo | – | Chievo | 1 | – | 1 | @ 42% | >>> | 1 | – | 0 |
| 2015-11-08: | Roma | – | Lazio | 2 | – | 1 | @ 54% | >>> | 2 | – | 0 |
| 2015-11-08: | Sassuolo | – | Carpi FC | 1 | – | 0 | @ 59% | >>> | 1 | – | 0 |
| 2015-11-08: | Napoli | – | Udinese | 2 | – | 0 | @ 64% | >>> | 1 | – | 0 |
| 2015-11-08: | Sampdoria | – | Fiorentina | 1 | – | 2 | @ 42% | >>> | 0 | – | 2 |
Correct tendency for matchday 12: 7 out of 10 / 70% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 56 out of 120 / 47% (“by chance” would be ø ~33%)
Matchday 11: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-10-31: | Juventus | – | Torino | 2 | – | 1 | @ 47% | >>> | 2 | – | 1 |
| 2015-10-31: | Inter Milan | – | Roma | 1 | – | 2 | @ 40% | >>> | 1 | – | 0 |
| 2015-11-01: | Fiorentina | – | Frosinone Calcio | 2 | – | 0 | @ 63% | >>> | 4 | – | 1 |
| 2015-11-01: | Bologna FC | – | Atalanta | 1 | – | 2 | @ 45% | >>> | 3 | – | 0 |
| 2015-11-01: | Carpi FC | – | Verona | 1 | – | 1 | @ 47% | >>> | 0 | – | 0 |
| 2015-11-01: | Genoa | – | Napoli | 1 | – | 2 | @ 46% | >>> | 0 | – | 0 |
| 2015-11-01: | Udinese | – | Sassuolo | 1 | – | 1 | @ 36% | >>> | 0 | – | 0 |
| 2015-11-01: | Lazio | – | Milan | 1 | – | 0 | @ 48% | >>> | 1 | – | 3 |
| 2015-11-02: | Chievo | – | Sampdoria | 1 | – | 1 | @ 31% | >>> | 1 | – | 1 |
| 2015-11-02: | Palermo | – | Empoli | 0 | – | 0 | @ 38% | >>> | 0 | – | 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: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-10-27: | Bologna FC | – | Inter Milan | 0 | – | 1 | @ 52% | >>> | 0 | – | 1 |
| 2015-10-28: | Atalanta | – | Lazio | 1 | – | 2 | @ 50% | >>> | 2 | – | 1 |
| 2015-10-28: | Frosinone Calcio | – | Carpi FC | 1 | – | 1 | @ 43% | >>> | 2 | – | 1 |
| 2015-10-28: | Verona | – | Fiorentina | 1 | – | 2 | @ 49% | >>> | 0 | – | 2 |
| 2015-10-28: | Milan | – | Chievo | 1 | – | 0 | @ 52% | >>> | 1 | – | 0 |
| 2015-10-28: | Napoli | – | Palermo | 2 | – | 0 | @ 60% | >>> | 2 | – | 0 |
| 2015-10-28: | Roma | – | Udinese | 2 | – | 0 | @ 62% | >>> | 3 | – | 1 |
| 2015-10-28: | Sassuolo | – | Juventus | 1 | – | 2 | @ 42% | >>> | 1 | – | 0 |
| 2015-10-28: | Torino | – | Genoa | 1 | – | 0 | @ 45% | >>> | 3 | – | 3 |
| 2015-10-29: | Sampdoria | – | Empoli | 2 | – | 1 | @ 44% | >>> | 1 | – | 1 |
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: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-10-24: | Empoli | – | Genoa | 1 | – | 1 | @ 31% | >>> | 2 | – | 0 |
| 2015-10-24: | Carpi FC | – | Bologna FC | 1 | – | 0 | @ 46% | >>> | 1 | – | 2 |
| 2015-10-24: | Palermo | – | Inter Milan | 0 | – | 1 | @ 49% | >>> | 1 | – | 1 |
| 2015-10-25: | Sampdoria | – | Verona | 2 | – | 1 | @ 47% | >>> | 4 | – | 1 |
| 2015-10-25: | Juventus | – | Atalanta | 1 | – | 0 | @ 54% | >>> | 2 | – | 0 |
| 2015-10-25: | Milan | – | Sassuolo | 2 | – | 1 | @ 41% | >>> | 2 | – | 1 |
| 2015-10-25: | Udinese | – | Frosinone Calcio | 1 | – | 0 | @ 45% | >>> | 1 | – | 0 |
| 2015-10-25: | Fiorentina | – | Roma | 1 | – | 1 | @ 38% | >>> | 1 | – | 2 |
| 2015-10-25: | Lazio | – | Torino | 2 | – | 1 | @ 48% | >>> | 3 | – | 0 |
| 2015-10-25: | Chievo | – | Napoli | 1 | – | 2 | @ 42% | >>> | 0 | – | 1 |
Correct tendency for matchday 9: 6 out of 10 / 60% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 39 out of 90 / 43% (“by chance” would be ø ~33%)
Matchday 8: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-10-17: | Roma | – | Empoli | 2 | – | 0 | @ 55% | >>> | 3 | – | 1 |
| 2015-10-17: | Torino | – | Milan | 1 | – | 0 | @ 42% | >>> | 1 | – | 1 |
| 2015-10-18: | Bologna FC | – | Palermo | 1 | – | 1 | @ 45% | >>> | 0 | – | 1 |
| 2015-10-18: | Atalanta | – | Carpi FC | 2 | – | 1 | @ 58% | >>> | 3 | – | 0 |
| 2015-10-18: | Frosinone Calcio | – | Sampdoria | 0 | – | 1 | @ 41% | >>> | 2 | – | 0 |
| 2015-10-18: | Genoa | – | Chievo | 1 | – | 1 | @ 41% | >>> | 3 | – | 2 |
| 2015-10-18: | Verona | – | Udinese | 0 | – | 0 | @ 40% | >>> | 1 | – | 1 |
| 2015-10-18: | Napoli | – | Fiorentina | 1 | – | 1 | @ 38% | >>> | 2 | – | 1 |
| 2015-10-18: | Sassuolo | – | Lazio | 1 | – | 2 | @ 44% | >>> | 2 | – | 1 |
| 2015-10-18: | Inter Milan | – | Juventus | 1 | – | 1 | @ 41% | >>> | 0 | – | 0 |
Correct tendency for matchday 8: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 33 out of 80 / 41% (“by chance” would be ø ~33%)
Matchday 7: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-10-03: | Carpi FC | – | Torino | 0 | – | 2 | @ 65% | >>> | 2 | – | 1 |
| 2015-10-03: | Chievo | – | Verona | 2 | – | 1 | @ 48% | >>> | 1 | – | 1 |
| 2015-10-04: | Empoli | – | Sassuolo | 1 | – | 2 | @ 43% | >>> | 1 | – | 0 |
| 2015-10-04: | Palermo | – | Roma | 1 | – | 2 | @ 42% | >>> | 2 | – | 4 |
| 2015-10-04: | Sampdoria | – | Inter Milan | 0 | – | 1 | @ 39% | >>> | 1 | – | 1 |
| 2015-10-04: | Udinese | – | Genoa | 1 | – | 1 | @ 36% | >>> | 1 | – | 1 |
| 2015-10-04: | Juventus | – | Bologna FC | 2 | – | 0 | @ 47% | >>> | 3 | – | 1 |
| 2015-10-04: | Lazio | – | Frosinone Calcio | 2 | – | 0 | @ 63% | >>> | 2 | – | 0 |
| 2015-10-04: | Fiorentina | – | Atalanta | 2 | – | 1 | @ 59% | >>> | 3 | – | 0 |
| 2015-10-04: | Milan | – | Napoli | 1 | – | 1 | @ 37% | >>> | 0 | – | 4 |
Correct tendency for matchday 7: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 29 out of 70 / 41% (“by chance” would be ø ~33%)
Matchday 6: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-09-26: | Roma | – | Carpi FC | 2 | – | 0 | @ 54% | >>> | 5 | – | 1 |
| 2015-09-26: | Napoli | – | Juventus | 1 | – | 1 | @ 32% | >>> | 2 | – | 1 |
| 2015-09-27: | Genoa | – | Milan | 1 | – | 2 | @ 44% | >>> | 1 | – | 0 |
| 2015-09-27: | Bologna FC | – | Udinese | 1 | – | 1 | @ 40% | >>> | 1 | – | 2 |
| 2015-09-27: | Verona | – | Lazio | 1 | – | 2 | @ 46% | >>> | 1 | – | 2 |
| 2015-09-27: | Sassuolo | – | Chievo | 1 | – | 1 | @ 40% | >>> | 1 | – | 1 |
| 2015-09-27: | Torino | – | Palermo | 1 | – | 0 | @ 41% | >>> | 2 | – | 1 |
| 2015-09-27: | Inter Milan | – | Fiorentina | 2 | – | 1 | @ 56% | >>> | 1 | – | 4 |
| 2015-09-28: | Frosinone Calcio | – | Empoli | 1 | – | 1 | @ 31% | >>> | 2 | – | 0 |
| 2015-09-28: | Atalanta | – | Sampdoria | 1 | – | 1 | @ 39% | >>> | 2 | – | 1 |
Correct tendency for matchday 6: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 24 out of 60 / 40% (“by chance” would be ø ~33%)
Matchday 5: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-09-22: | Udinese | – | Milan | 0 | – | 1 | @ 40% | >>> | 2 | – | 3 |
| 2015-09-23: | Carpi FC | – | Napoli | 0 | – | 2 | @ 64% | >>> | 0 | – | 0 |
| 2015-09-23: | Chievo | – | Torino | 1 | – | 2 | @ 42% | >>> | 1 | – | 0 |
| 2015-09-23: | Fiorentina | – | Bologna FC | 2 | – | 1 | @ 60% | >>> | 2 | – | 0 |
| 2015-09-23: | Inter Milan | – | Verona | 1 | – | 0 | @ 62% | >>> | 1 | – | 0 |
| 2015-09-23: | Juventus | – | Frosinone Calcio | 2 | – | 0 | @ 58% | >>> | 1 | – | 1 |
| 2015-09-23: | Lazio | – | Genoa | 2 | – | 1 | @ 53% | >>> | 2 | – | 0 |
| 2015-09-23: | Palermo | – | Sassuolo | 1 | – | 1 | @ 33% | >>> | 0 | – | 1 |
| 2015-09-23: | Sampdoria | – | Roma | 1 | – | 1 | @ 40% | >>> | 2 | – | 1 |
| 2015-09-24: | Empoli | – | Atalanta | 1 | – | 1 | @ 48% | >>> | 0 | – | 1 |
Correct tendency for matchday 5: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 20 out of 50 / 40% (“by chance” would be ø ~33%)
Matchday 4: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-09-19: | Udinese | – | Empoli | 2 | – | 1 | @ 40% | >>> | 1 | – | 2 |
| 2015-09-19: | Milan | – | Palermo | 1 | – | 0 | @ 32% | >>> | 3 | – | 2 |
| 2015-09-20: | Chievo | – | Inter Milan | 0 | – | 1 | @ 33% | >>> | 0 | – | 1 |
| 2015-09-20: | Atalanta | – | Verona | 1 | – | 1 | @ 40% | >>> | 1 | – | 1 |
| 2015-09-20: | Bologna FC | – | Frosinone Calcio | 0 | – | 0 | @ 49% | >>> | 1 | – | 0 |
| 2015-09-20: | Genoa | – | Juventus | 1 | – | 1 | @ 30% | >>> | 0 | – | 2 |
| 2015-09-20: | Roma | – | Sassuolo | 2 | – | 1 | @ 43% | >>> | 2 | – | 2 |
| 2015-09-20: | Torino | – | Sampdoria | 1 | – | 1 | @ 35% | >>> | 2 | – | 0 |
| 2015-09-20: | Carpi FC | – | Fiorentina | 1 | – | 2 | @ 38% | >>> | 0 | – | 1 |
| 2015-09-20: | Napoli | – | Lazio | 2 | – | 1 | @ 38% | >>> | 5 | – | 0 |
Correct tendency for matchday 4: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 16 out of 40 / 40% (“by chance” would be ø ~33%)
Matchday 3: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-09-13: | Empoli | – | Napoli | 1 | – | 2 | @ 31% | >>> | 2 | – | 2 |
| 2015-09-12: | Fiorentina | – | Genoa | 2 | – | 1 | @ 31% | >>> | 1 | – | 0 |
| 2015-09-12: | Frosinone Calcio | – | Roma | 0 | – | 2 | @ 52% | >>> | 0 | – | 2 |
| 2015-09-13: | Verona | – | Torino | 0 | – | 1 | @ 33% | >>> | 2 | – | 2 |
| 2015-09-13: | Inter Milan | – | Milan | 1 | – | 1 | @ 38% | >>> | 1 | – | 0 |
| 2015-09-12: | Juventus | – | Chievo | 2 | – | 1 | @ 33% | >>> | 1 | – | 1 |
| 2015-09-13: | Lazio | – | Udinese | 1 | – | 1 | @ 27% | >>> | 2 | – | 0 |
| 2015-09-13: | Palermo | – | Carpi FC | 1 | – | 0 | @ 37% | >>> | 2 | – | 2 |
| 2015-09-13: | Sampdoria | – | Bologna FC | 2 | – | 1 | @ 37% | >>> | 2 | – | 0 |
| 2015-09-13: | Sassuolo | – | Atalanta | 1 | – | 1 | @ 34% | >>> | 2 | – | 2 |
Correct tendency for matchday 3: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 11 out of 30 / 37% (“by chance” would be ø ~33%)
Matchday 2: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-08-29: | Bologna FC | – | Sassuolo | 1 | – | 1 | @ 23% | >>> | 0 | – | 1 |
| 2015-08-29: | Milan | – | Empoli | 1 | – | 0 | @ 32% | >>> | 2 | – | 1 |
| 2015-08-30: | Roma | – | Juventus | 1 | – | 1 | @ 19% | >>> | 2 | – | 1 |
| 2015-08-30: | Atalanta | – | Frosinone Calcio | 2 | – | 1 | @ 41% | >>> | 2 | – | 0 |
| 2015-08-30: | Carpi FC | – | Inter Milan | 0 | – | 1 | @ 48% | >>> | 1 | – | 2 |
| 2015-08-30: | Chievo | – | Lazio | 1 | – | 2 | @ 27% | >>> | 4 | – | 0 |
| 2015-08-30: | Genoa | – | Verona | 1 | – | 1 | @ 23% | >>> | 2 | – | 0 |
| 2015-08-30: | Napoli | – | Sampdoria | 2 | – | 1 | @ 37% | >>> | 2 | – | 2 |
| 2015-08-30: | Torino | – | Fiorentina | 1 | – | 1 | @ 24% | >>> | 3 | – | 1 |
| 2015-08-30: | Udinese | – | Palermo | 1 | – | 1 | @ 26% | >>> | 0 | – | 1 |
Correct tendency for matchday 2: 3 out of 10 / 30% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 7 out of 20 / 35% (“by chance” would be ø ~33%)
Matchday 1: Serie A 2015/16: predictions @ z% DMSC* >>> real results:
| 2015-08-22: | Verona | – | Roma | 1 | – | 2 | @ 21% | >>> | 1 | – | 1 |
| 2015-08-22: | Lazio | – | Bologna FC | 2 | – | 0 | @ 32% | >>> | 2 | – | 1 |
| 2015-08-23: | Juventus | – | Udinese | 2 | – | 0 | @ 32% | >>> | 0 | – | 1 |
| 2015-08-23: | Empoli | – | Chievo | 1 | – | 1 | @ 15% | >>> | 1 | – | 3 |
| 2015-08-23: | Fiorentina | – | Milan | 1 | – | 1 | @ 15% | >>> | 2 | – | 0 |
| 2015-08-23: | Frosinone Calcio | – | Torino | 0 | – | 1 | @ 20% | >>> | 1 | – | 2 |
| 2015-08-23: | Inter Milan | – | Atalanta | 2 | – | 1 | @ 26% | >>> | 1 | – | 0 |
| 2015-08-23: | Palermo | – | Genoa | 1 | – | 1 | @ 14% | >>> | 1 | – | 0 |
| 2015-08-23: | Sampdoria | – | Carpi FC | 1 | – | 0 | @ 25% | >>> | 5 | – | 2 |
| 2015-08-23: | Sassuolo | – | Napoli | 1 | – | 2 | @ 21% | >>> | 2 | – | 1 |
Correct tendency for matchday 1: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 4 out of 10 / 40% (“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™]
