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: Premier League 2015/16
Matchday 38: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2016-05-15: | Arsenal | – | Aston Villa | 2 | – | 0 | @ 65% | >>> | 4 | – | 0 |
2016-05-15: | Chelsea | – | Leicester | 1 | – | 1 | @ 31% | >>> | 1 | – | 1 |
2016-05-15: | Everton | – | Norwich | 2 | – | 1 | @ 48% | >>> | 3 | – | 0 |
2016-05-15: | Man Utd | – | Bournemouth | 2 | – | 0 | @ 59% | >>> | 3 | – | 1 |
2016-05-15: | Newcastle | – | Tottenham | 0 | – | 2 | @ 38% | >>> | 5 | – | 1 |
2016-05-15: | Southampton | – | Crystal Palace | 2 | – | 1 | @ 53% | >>> | 4 | – | 1 |
2016-05-15: | Stoke | – | West Ham | 1 | – | 1 | @ 36% | >>> | 2 | – | 1 |
2016-05-15: | Swansea | – | Man City | 0 | – | 2 | @ 40% | >>> | 1 | – | 1 |
2016-05-15: | Watford | – | Sunderland | 1 | – | 1 | @ 44% | >>> | 2 | – | 2 |
2016-05-15: | West Brom | – | Liverpool | 1 | – | 2 | @ 45% | >>> | 1 | – | 1 |
Correct tendency for matchday 38: 6 out of 10 / 60% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 169 out of 380 / 44% (“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: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2016-05-07: | Norwich | – | Man Utd | 0 | – | 2 | @ 42% | >>> | 0 | – | 1 |
2016-05-07: | Aston Villa | – | Newcastle | 1 | – | 2 | @ 43% | >>> | 0 | – | 0 |
2016-05-07: | Bournemouth | – | West Brom | 2 | – | 1 | @ 40% | >>> | 1 | – | 1 |
2016-05-07: | Crystal Palace | – | Stoke | 1 | – | 1 | @ 36% | >>> | 2 | – | 1 |
2016-05-07: | Sunderland | – | Chelsea | 0 | – | 1 | @ 39% | >>> | 3 | – | 2 |
2016-05-07: | West Ham | – | Swansea | 2 | – | 1 | @ 43% | >>> | 1 | – | 4 |
2016-05-07: | Leicester | – | Everton | 2 | – | 1 | @ 45% | >>> | 3 | – | 1 |
2016-05-08: | Tottenham | – | Southampton | 2 | – | 0 | @ 46% | >>> | 1 | – | 2 |
2016-05-08: | Liverpool | – | Watford | 2 | – | 0 | @ 53% | >>> | 2 | – | 0 |
2016-05-08: | Man City | – | Arsenal | 1 | – | 1 | @ 35% | >>> | 2 | – | 2 |
Correct tendency for matchday 37: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 163 out of 370 / 44% (“by chance” would be ø ~33%)
Matchday 36: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2016-04-30: | Everton | – | Bournemouth | 1 | – | 1 | @ 39% | >>> | 2 | – | 1 |
2016-04-30: | Newcastle | – | Crystal Palace | 1 | – | 1 | @ 39% | >>> | 1 | – | 0 |
2016-04-30: | Stoke | – | Sunderland | 2 | – | 1 | @ 43% | >>> | 1 | – | 1 |
2016-04-30: | Watford | – | Aston Villa | 2 | – | 0 | @ 57% | >>> | 3 | – | 2 |
2016-04-30: | West Brom | – | West Ham | 1 | – | 1 | @ 39% | >>> | 0 | – | 3 |
2016-04-30: | Arsenal | – | Norwich | 2 | – | 0 | @ 62% | >>> | 1 | – | 0 |
2016-05-01: | Swansea | – | Liverpool | 1 | – | 2 | @ 41% | >>> | 3 | – | 1 |
2016-05-01: | Man Utd | – | Leicester | 2 | – | 1 | @ 44% | >>> | 1 | – | 1 |
2016-05-01: | Southampton | – | Man City | 1 | – | 2 | @ 36% | >>> | 4 | – | 2 |
2016-05-02: | Chelsea | – | Tottenham | 1 | – | 1 | @ 32% | >>> | 2 | – | 2 |
Correct tendency for matchday 36: 3 out of 10 / 30% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 159 out of 360 / 44% (“by chance” would be ø ~33%)
Matchday 35: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2016-04-13: | Crystal Palace | – | Everton | 1 | – | 1 | @ 33% | >>> | 0 | – | 0 |
2016-04-23: | Man City | – | Stoke | 2 | – | 0 | @ 59% | >>> | 4 | – | 0 |
2016-04-23: | Aston Villa | – | Southampton | 1 | – | 2 | @ 54% | >>> | 2 | – | 4 |
2016-04-23: | Bournemouth | – | Chelsea | 0 | – | 1 | @ 33% | >>> | 1 | – | 4 |
2016-04-23: | Liverpool | – | Newcastle | 2 | – | 0 | @ 59% | >>> | 2 | – | 2 |
2016-04-24: | Sunderland | – | Arsenal | 0 | – | 2 | @ 50% | >>> | 0 | – | 0 |
2016-04-24: | Leicester | – | Swansea | 1 | – | 0 | @ 52% | >>> | 4 | – | 0 |
2016-04-25: | Tottenham | – | West Brom | 2 | – | 0 | @ 66% | >>> | 1 | – | 1 |
2016-05-10: | West Ham | – | Man Utd | 1 | – | 2 | @ 35% | >>> | 3 | – | 2 |
2016-05-11: | Norwich | – | Watford | 1 | – | 1 | @ 42% | >>> | 4 | – | 2 |
Correct tendency for matchday 35: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 156 out of 350 / 45% (“by chance” would be ø ~33%)
Matchday 34: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2016-04-16: | Norwich | – | Sunderland | 2 | – | 1 | @ 43% | >>> | 0 | – | 3 |
2016-04-16: | Everton | – | Southampton | 1 | – | 2 | @ 36% | >>> | 1 | – | 1 |
2016-04-16: | Man Utd | – | Aston Villa | 2 | – | 0 | @ 63% | >>> | 1 | – | 0 |
2016-04-16: | Newcastle | – | Swansea | 1 | – | 2 | @ 38% | >>> | 3 | – | 0 |
2016-04-16: | West Brom | – | Watford | 1 | – | 1 | @ 39% | >>> | 0 | – | 1 |
2016-04-16: | Chelsea | – | Man City | 1 | – | 1 | @ 37% | >>> | 0 | – | 3 |
2016-04-17: | Bournemouth | – | Liverpool | 1 | – | 1 | @ 42% | >>> | 1 | – | 2 |
2016-04-17: | Leicester | – | West Ham | 1 | – | 0 | @ 45% | >>> | 2 | – | 2 |
2016-04-17: | Arsenal | – | Crystal Palace | 2 | – | 0 | @ 57% | >>> | 1 | – | 1 |
2016-04-18: | Stoke | – | Tottenham | 1 | – | 2 | @ 48% | >>> | 0 | – | 4 |
Correct tendency for matchday 34: 2 out of 10 / 20% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 151 out of 340 / 44% (“by chance” would be ø ~33%)
Matchday 33: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2016-04-09: | West Ham | – | Arsenal | 1 | – | 2 | @ 40% | >>> | 3 | – | 3 |
2016-04-09: | Aston Villa | – | Bournemouth | 1 | – | 2 | @ 41% | >>> | 1 | – | 2 |
2016-04-09: | Crystal Palace | – | Norwich | 1 | – | 1 | @ 36% | >>> | 1 | – | 0 |
2016-04-09: | Southampton | – | Newcastle | 2 | – | 0 | @ 55% | >>> | 3 | – | 1 |
2016-04-09: | Swansea | – | Chelsea | 0 | – | 2 | @ 38% | >>> | 1 | – | 0 |
2016-04-09: | Watford | – | Everton | 0 | – | 0 | @ 42% | >>> | 1 | – | 1 |
2016-04-09: | Man City | – | West Brom | 2 | – | 0 | @ 52% | >>> | 2 | – | 1 |
2016-04-10: | Sunderland | – | Leicester | 0 | – | 1 | @ 47% | >>> | 0 | – | 2 |
2016-04-10: | Liverpool | – | Stoke | 2 | – | 1 | @ 42% | >>> | 4 | – | 1 |
2016-04-10: | Tottenham | – | Man Utd | 2 | – | 1 | @ 44% | >>> | 3 | – | 0 |
Correct tendency for matchday 33: 7 out of 10 / 70% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 149 out of 330 / 45% (“by chance” would be ø ~33%)
Matchday 32: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2016-04-02: | Aston Villa | – | Chelsea | 0 | – | 2 | @ 53% | >>> | 0 | – | 4 |
2016-04-02: | Arsenal | – | Watford | 2 | – | 0 | @ 58% | >>> | 4 | – | 0 |
2016-04-02: | Bournemouth | – | Man City | 1 | – | 2 | @ 38% | >>> | 0 | – | 4 |
2016-04-02: | Norwich | – | Newcastle | 0 | – | 0 | @ 38% | >>> | 3 | – | 2 |
2016-04-02: | Stoke | – | Swansea | 1 | – | 1 | @ 42% | >>> | 2 | – | 2 |
2016-04-02: | Sunderland | – | West Brom | 1 | – | 1 | @ 40% | >>> | 0 | – | 0 |
2016-04-02: | West Ham | – | Crystal Palace | 2 | – | 1 | @ 49% | >>> | 2 | – | 2 |
2016-04-02: | Liverpool | – | Tottenham | 1 | – | 1 | @ 33% | >>> | 1 | – | 1 |
2016-04-03: | Leicester | – | Southampton | 1 | – | 0 | @ 43% | >>> | 1 | – | 0 |
2016-04-03: | Man Utd | – | Everton | 2 | – | 1 | @ 49% | >>> | 1 | – | 0 |
Correct tendency for matchday 32: 8 out of 10 / 80% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 142 out of 320 / 44% (“by chance” would be ø ~33%)
Matchday 31: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2016-03-19: | Everton | – | Arsenal | 1 | – | 1 | @ 46% | >>> | 0 | – | 2 |
2016-03-19: | Chelsea | – | West Ham | 2 | – | 0 | @ 39% | >>> | 2 | – | 2 |
2016-03-19: | Crystal Palace | – | Leicester | 0 | – | 1 | @ 45% | >>> | 0 | – | 1 |
2016-03-19: | Watford | – | Stoke | 1 | – | 2 | @ 37% | >>> | 1 | – | 2 |
2016-03-19: | West Brom | – | Norwich | 2 | – | 1 | @ 46% | >>> | 0 | – | 1 |
2016-03-19: | Swansea | – | Aston Villa | 2 | – | 0 | @ 56% | >>> | 1 | – | 0 |
2016-03-20: | Newcastle | – | Sunderland | 2 | – | 1 | @ 42% | >>> | 1 | – | 1 |
2016-03-20: | Southampton | – | Liverpool | 1 | – | 1 | @ 42% | >>> | 3 | – | 2 |
2016-03-20: | Man City | – | Man Utd | 2 | – | 1 | @ 46% | >>> | 0 | – | 1 |
2016-03-20: | Tottenham | – | Bournemouth | 2 | – | 0 | @ 50% | >>> | 3 | – | 0 |
Correct tendency for matchday 31: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 134 out of 310 / 43% (“by chance” would be ø ~33%)
Matchday 30: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2016-03-12: | Norwich | – | Man City | 0 | – | 2 | @ 54% | >>> | 0 | – | 0 |
2016-03-12: | Bournemouth | – | Swansea | 1 | – | 1 | @ 41% | >>> | 3 | – | 2 |
2016-03-12: | Man Utd | – | Crystal Palace | 2 | – | 0 | @ 52% | >>> | 2 | – | 0 |
2016-03-12: | Stoke | – | Southampton | 2 | – | 1 | @ 41% | >>> | 1 | – | 2 |
2016-03-12: | Sunderland | – | Everton | 0 | – | 1 | @ 38% | >>> | 3 | – | 0 |
2016-03-12: | West Ham | – | Watford | 2 | – | 0 | @ 53% | >>> | 3 | – | 1 |
2016-03-12: | Arsenal | – | West Brom | 2 | – | 0 | @ 47% | >>> | 2 | – | 0 |
2016-03-13: | Aston Villa | – | Tottenham | 0 | – | 2 | @ 59% | >>> | 0 | – | 2 |
2016-03-13: | Liverpool | – | Chelsea | 1 | – | 1 | @ 36% | >>> | 1 | – | 1 |
2016-03-14: | Leicester | – | Newcastle | 1 | – | 0 | @ 55% | >>> | 1 | – | 0 |
Correct tendency for matchday 30: 6 out of 10 / 60% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 130 out of 300 / 43% (“by chance” would be ø ~33%)
Matchday 29: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2016-03-05: | Tottenham | – | Arsenal | 2 | – | 1 | @ 49% | >>> | 2 | – | 2 |
2016-03-05: | Chelsea | – | Stoke | 2 | – | 0 | @ 46% | >>> | 1 | – | 1 |
2016-03-05: | Everton | – | West Ham | 2 | – | 1 | @ 37% | >>> | 2 | – | 3 |
2016-03-05: | Man City | – | Aston Villa | 2 | – | 0 | @ 55% | >>> | 4 | – | 0 |
2016-03-05: | Newcastle | – | Bournemouth | 1 | – | 1 | @ 36% | >>> | 1 | – | 3 |
2016-03-05: | Southampton | – | Sunderland | 2 | – | 0 | @ 55% | >>> | 1 | – | 1 |
2016-03-05: | Swansea | – | Norwich | 2 | – | 1 | @ 55% | >>> | 1 | – | 0 |
2016-03-05: | Watford | – | Leicester | 1 | – | 2 | @ 39% | >>> | 0 | – | 1 |
2016-03-06: | Crystal Palace | – | Liverpool | 1 | – | 2 | @ 45% | >>> | 1 | – | 2 |
2016-03-06: | West Brom | – | Man Utd | 0 | – | 1 | @ 40% | >>> | 1 | – | 0 |
Correct tendency for matchday 29: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 124 out of 290 / 43% (“by chance” would be ø ~33%)
Matchday 28: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2016-03-01: | Aston Villa | – | Everton | 0 | – | 1 | @ 44% | >>> | 1 | – | 3 |
2016-03-01: | Bournemouth | – | Southampton | 1 | – | 2 | @ 40% | >>> | 2 | – | 0 |
2016-03-01: | Leicester | – | West Brom | 1 | – | 0 | @ 52% | >>> | 2 | – | 2 |
2016-03-01: | Norwich | – | Chelsea | 0 | – | 2 | @ 47% | >>> | 1 | – | 2 |
2016-03-01: | Sunderland | – | Crystal Palace | 1 | – | 1 | @ 35% | >>> | 2 | – | 2 |
2016-03-02: | Arsenal | – | Swansea | 2 | – | 0 | @ 59% | >>> | 1 | – | 2 |
2016-03-02: | West Ham | – | Tottenham | 1 | – | 2 | @ 42% | >>> | 1 | – | 0 |
2016-03-02: | Stoke | – | Newcastle | 2 | – | 1 | @ 47% | >>> | 1 | – | 0 |
2016-03-02: | Liverpool | – | Man City | 1 | – | 1 | @ 43% | >>> | 3 | – | 0 |
2016-03-02: | Man Utd | – | Watford | 2 | – | 0 | @ 50% | >>> | 1 | – | 0 |
Correct tendency for matchday 28: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 120 out of 280 / 43% (“by chance” would be ø ~33%)
Matchday 27: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2016-02-27: | West Ham | – | Sunderland | 2 | – | 0 | @ 52% | >>> | 1 | – | 0 |
2016-02-27: | Leicester | – | Norwich | 1 | – | 0 | @ 51% | >>> | 1 | – | 0 |
2016-02-27: | Southampton | – | Chelsea | 1 | – | 1 | @ 28% | >>> | 1 | – | 2 |
2016-02-27: | Stoke | – | Aston Villa | 2 | – | 1 | @ 50% | >>> | 2 | – | 1 |
2016-02-27: | Watford | – | Bournemouth | 2 | – | 1 | @ 42% | >>> | 0 | – | 0 |
2016-02-27: | West Brom | – | Crystal Palace | 1 | – | 1 | @ 39% | >>> | 3 | – | 2 |
2016-02-28: | Liverpool | – | Everton | 2 | – | 1 | @ 43% | >>> | 4 | – | 0 |
2016-02-28: | Newcastle | – | Man City | 1 | – | 2 | @ 42% | >>> | 1 | – | 1 |
2016-02-28: | Man Utd | – | Arsenal | 1 | – | 1 | @ 44% | >>> | 3 | – | 2 |
2016-02-28: | Tottenham | – | Swansea | 2 | – | 0 | @ 65% | >>> | 2 | – | 1 |
Correct tendency for matchday 27: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 115 out of 270 / 43% (“by chance” would be ø ~33%)
Matchday 26: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2016-02-13: | Sunderland | – | Man Utd | 0 | – | 2 | @ 46% | >>> | 2 | – | 1 |
2016-02-13: | Bournemouth | – | Stoke | 1 | – | 1 | @ 35% | >>> | 1 | – | 3 |
2016-02-13: | Crystal Palace | – | Watford | 1 | – | 1 | @ 39% | >>> | 1 | – | 2 |
2016-02-13: | Everton | – | West Brom | 2 | – | 0 | @ 54% | >>> | 0 | – | 1 |
2016-02-13: | Norwich | – | West Ham | 1 | – | 1 | @ 37% | >>> | 2 | – | 2 |
2016-02-13: | Swansea | – | Southampton | 1 | – | 2 | @ 37% | >>> | 0 | – | 1 |
2016-02-13: | Chelsea | – | Newcastle | 2 | – | 0 | @ 52% | >>> | 5 | – | 1 |
2016-02-14: | Arsenal | – | Leicester | 2 | – | 1 | @ 45% | >>> | 2 | – | 1 |
2016-02-14: | Aston Villa | – | Liverpool | 1 | – | 2 | @ 42% | >>> | 0 | – | 6 |
2016-02-14: | Man City | – | Tottenham | 2 | – | 2 | @ 36% | >>> | 1 | – | 2 |
Correct tendency for matchday 26: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 110 out of 260 / 42% (“by chance” would be ø ~33%)
Matchday 25: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2016-02-06: | Man City | – | Leicester | 1 | – | 0 | @ 48% | >>> | 1 | – | 3 |
2016-02-06: | Aston Villa | – | Norwich | 2 | – | 1 | @ 41% | >>> | 2 | – | 0 |
2016-02-06: | Liverpool | – | Sunderland | 2 | – | 0 | @ 54% | >>> | 2 | – | 2 |
2016-02-06: | Newcastle | – | West Brom | 2 | – | 1 | @ 41% | >>> | 1 | – | 0 |
2016-02-06: | Stoke | – | Everton | 1 | – | 1 | @ 33% | >>> | 0 | – | 3 |
2016-02-06: | Swansea | – | Crystal Palace | 2 | – | 1 | @ 43% | >>> | 1 | – | 1 |
2016-02-06: | Tottenham | – | Watford | 2 | – | 1 | @ 58% | >>> | 1 | – | 0 |
2016-02-06: | Southampton | – | West Ham | 1 | – | 0 | @ 41% | >>> | 1 | – | 0 |
2016-02-07: | Bournemouth | – | Arsenal | 1 | – | 2 | @ 40% | >>> | 0 | – | 2 |
2016-02-07: | Chelsea | – | Man Utd | 1 | – | 1 | @ 35% | >>> | 1 | – | 1 |
Correct tendency for matchday 25: 6 out of 10 / 60% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 105 out of 250 / 42% (“by chance” would be ø ~33%)
Matchday 24: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2016-02-02: | Arsenal | – | Southampton | 2 | – | 1 | @ 50% | >>> | 0 | – | 0 |
2016-02-02: | Leicester | – | Liverpool | 2 | – | 2 | @ 37% | >>> | 2 | – | 0 |
2016-02-02: | Norwich | – | Tottenham | 1 | – | 2 | @ 52% | >>> | 0 | – | 3 |
2016-02-02: | Sunderland | – | Man City | 0 | – | 2 | @ 48% | >>> | 0 | – | 1 |
2016-02-02: | West Ham | – | Aston Villa | 2 | – | 1 | @ 53% | >>> | 2 | – | 0 |
2016-02-02: | Crystal Palace | – | Bournemouth | 0 | – | 0 | @ 35% | >>> | 1 | – | 2 |
2016-02-02: | Man Utd | – | Stoke | 2 | – | 1 | @ 45% | >>> | 3 | – | 0 |
2016-02-02: | West Brom | – | Swansea | 1 | – | 1 | @ 36% | >>> | 1 | – | 1 |
2016-02-03: | Watford | – | Chelsea | 0 | – | 1 | @ 37% | >>> | 0 | – | 0 |
2016-02-03: | Everton | – | Newcastle | 2 | – | 0 | @ 41% | >>> | 3 | – | 0 |
Correct tendency for matchday 24: 6 out of 10 / 60% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 99 out of 240 / 41% (“by chance” would be ø ~33%)
Matchday 23: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2016-01-23: | Norwich | – | Liverpool | 1 | – | 2 | @ 39% | >>> | 4 | – | 5 |
2016-01-23: | Crystal Palace | – | Tottenham | 1 | – | 2 | @ 48% | >>> | 1 | – | 3 |
2016-01-23: | Leicester | – | Stoke | 1 | – | 1 | @ 39% | >>> | 3 | – | 0 |
2016-01-23: | Man Utd | – | Southampton | 2 | – | 1 | @ 43% | >>> | 0 | – | 1 |
2016-01-23: | Sunderland | – | Bournemouth | 1 | – | 2 | @ 39% | >>> | 1 | – | 1 |
2016-01-23: | Watford | – | Newcastle | 1 | – | 1 | @ 37% | >>> | 2 | – | 1 |
2016-01-23: | West Brom | – | Aston Villa | 2 | – | 1 | @ 44% | >>> | 0 | – | 0 |
2016-01-23: | West Ham | – | Man City | 1 | – | 2 | @ 43% | >>> | 2 | – | 2 |
2016-01-24: | Everton | – | Swansea | 2 | – | 1 | @ 46% | >>> | 1 | – | 2 |
2016-01-24: | Arsenal | – | Chelsea | 2 | – | 1 | @ 49% | >>> | 0 | – | 1 |
Correct tendency for matchday 23: 2 out of 10 / 20% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 93 out of 230 / 40% (“by chance” would be ø ~33%)
Matchday 22: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2016-01-16: | Tottenham | – | Sunderland | 2 | – | 0 | @ 59% | >>> | 4 | – | 1 |
2016-01-16: | Bournemouth | – | Norwich | 1 | – | 1 | @ 41% | >>> | 3 | – | 0 |
2016-01-16: | Chelsea | – | Everton | 1 | – | 0 | @ 43% | >>> | 3 | – | 3 |
2016-01-16: | Man City | – | Crystal Palace | 2 | – | 1 | @ 59% | >>> | 4 | – | 0 |
2016-01-16: | Newcastle | – | West Ham | 1 | – | 2 | @ 40% | >>> | 2 | – | 1 |
2016-01-16: | Southampton | – | West Brom | 2 | – | 1 | @ 49% | >>> | 3 | – | 0 |
2016-01-16: | Aston Villa | – | Leicester | 0 | – | 1 | @ 47% | >>> | 1 | – | 1 |
2016-01-17: | Liverpool | – | Man Utd | 2 | – | 2 | @ 45% | >>> | 0 | – | 1 |
2016-01-17: | Stoke | – | Arsenal | 1 | – | 2 | @ 42% | >>> | 0 | – | 0 |
2016-01-18: | Swansea | – | Watford | 1 | – | 1 | @ 39% | >>> | 1 | – | 0 |
Correct tendency for matchday 22: 3 out of 10 / 30% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 91 out of 220 / 41% (“by chance” would be ø ~33%)
Matchday 21: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2016-01-12: | Aston Villa | – | Crystal Palace | 1 | – | 2 | @ 44% | >>> | 1 | – | 0 |
2016-01-12: | Bournemouth | – | West Ham | 1 | – | 1 | @ 34% | >>> | 1 | – | 3 |
2016-01-13: | Swansea | – | Sunderland | 2 | – | 1 | @ 48% | >>> | 2 | – | 4 |
2016-01-12: | Newcastle | – | Man Utd | 0 | – | 1 | @ 47% | >>> | 3 | – | 3 |
2016-01-13: | Chelsea | – | West Brom | 1 | – | 0 | @ 49% | >>> | 2 | – | 2 |
2016-01-13: | Man City | – | Everton | 2 | – | 1 | @ 61% | >>> | 0 | – | 0 |
2016-01-13: | Southampton | – | Watford | 1 | – | 1 | @ 34% | >>> | 2 | – | 0 |
2016-01-13: | Stoke | – | Norwich | 2 | – | 1 | @ 42% | >>> | 3 | – | 1 |
2016-01-13: | Liverpool | – | Arsenal | 2 | – | 2 | @ 36% | >>> | 3 | – | 3 |
2016-01-13: | Tottenham | – | Leicester | 1 | – | 1 | @ 40% | >>> | 0 | – | 1 |
Correct tendency for matchday 21: 2 out of 10 / 20% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 88 out of 210 / 42% (“by chance” would be ø ~33%)
Matchday 20: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2016-01-02: | West Ham | – | Liverpool | 0 | – | 1 | @ 36% | >>> | 2 | – | 0 |
2016-01-02: | Arsenal | – | Newcastle | 2 | – | 0 | @ 69% | >>> | 1 | – | 0 |
2016-01-02: | Leicester | – | Bournemouth | 2 | – | 1 | @ 52% | >>> | 0 | – | 0 |
2016-01-02: | Man Utd | – | Swansea | 2 | – | 1 | @ 52% | >>> | 2 | – | 1 |
2016-01-02: | Norwich | – | Southampton | 1 | – | 1 | @ 31% | >>> | 1 | – | 0 |
2016-01-02: | Sunderland | – | Aston Villa | 0 | – | 0 | @ 44% | >>> | 3 | – | 1 |
2016-01-02: | West Brom | – | Stoke | 1 | – | 2 | @ 40% | >>> | 2 | – | 1 |
2016-01-02: | Watford | – | Man City | 1 | – | 2 | @ 46% | >>> | 1 | – | 2 |
2016-01-03: | Crystal Palace | – | Chelsea | 1 | – | 1 | @ 29% | >>> | 0 | – | 3 |
2016-01-03: | Everton | – | Tottenham | 0 | – | 1 | @ 47% | >>> | 1 | – | 1 |
Correct tendency for matchday 20: 3 out of 10 / 30% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 86 out of 200 / 43% (“by chance” would be ø ~33%)
Matchday 19: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2015-12-28: | Crystal Palace | – | Swansea | 2 | – | 1 | @ 50% | >>> | 0 | – | 0 |
2015-12-28: | Everton | – | Stoke | 1 | – | 1 | @ 39% | >>> | 3 | – | 4 |
2015-12-28: | Norwich | – | Aston Villa | 1 | – | 0 | @ 44% | >>> | 2 | – | 0 |
2015-12-28: | Watford | – | Tottenham | 1 | – | 2 | @ 40% | >>> | 1 | – | 2 |
2015-12-28: | West Brom | – | Newcastle | 1 | – | 1 | @ 41% | >>> | 1 | – | 0 |
2015-12-28: | Arsenal | – | Bournemouth | 2 | – | 1 | @ 56% | >>> | 2 | – | 0 |
2015-12-28: | Man Utd | – | Chelsea | 1 | – | 1 | @ 34% | >>> | 0 | – | 0 |
2015-12-28: | West Ham | – | Southampton | 1 | – | 1 | @ 38% | >>> | 2 | – | 1 |
2015-12-29: | Leicester | – | Man City | 1 | – | 2 | @ 43% | >>> | 0 | – | 0 |
2015-12-30: | Sunderland | – | Liverpool | 0 | – | 1 | @ 50% | >>> | 0 | – | 1 |
Correct tendency for matchday 19: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 83 out of 190 / 44% (“by chance” would be ø ~33%)
Matchday 18: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2015-12-26: | Stoke | – | Man Utd | 1 | – | 1 | @ 38% | >>> | 2 | – | 0 |
2015-12-26: | Aston Villa | – | West Ham | 1 | – | 1 | @ 33% | >>> | 1 | – | 1 |
2015-12-26: | Bournemouth | – | Crystal Palace | 1 | – | 1 | @ 30% | >>> | 0 | – | 0 |
2015-12-26: | Chelsea | – | Watford | 2 | – | 1 | @ 45% | >>> | 2 | – | 2 |
2015-12-26: | Liverpool | – | Leicester | 1 | – | 1 | @ 28% | >>> | 1 | – | 0 |
2015-12-26: | Man City | – | Sunderland | 2 | – | 0 | @ 68% | >>> | 4 | – | 1 |
2015-12-26: | Swansea | – | West Brom | 2 | – | 1 | @ 43% | >>> | 1 | – | 0 |
2015-12-26: | Tottenham | – | Norwich | 2 | – | 0 | @ 58% | >>> | 3 | – | 0 |
2015-12-26: | Newcastle | – | Everton | 0 | – | 0 | @ 41% | >>> | 0 | – | 1 |
2015-12-26: | Southampton | – | Arsenal | 1 | – | 2 | @ 54% | >>> | 4 | – | 0 |
Correct tendency for matchday 18: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 78 out of 180 / 43% (“by chance” would be ø ~33%)
Matchday 17: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2015-12-19: | Chelsea | – | Sunderland | 1 | – | 0 | @ 48% | >>> | 3 | – | 1 |
2015-12-19: | Everton | – | Leicester | 1 | – | 1 | @ 39% | >>> | 2 | – | 3 |
2015-12-19: | Man Utd | – | Norwich | 2 | – | 1 | @ 55% | >>> | 1 | – | 2 |
2015-12-19: | Southampton | – | Tottenham | 1 | – | 1 | @ 42% | >>> | 0 | – | 2 |
2015-12-19: | Stoke | – | Crystal Palace | 0 | – | 0 | @ 36% | >>> | 1 | – | 2 |
2015-12-19: | West Brom | – | Bournemouth | 1 | – | 1 | @ 37% | >>> | 1 | – | 2 |
2015-12-19: | Newcastle | – | Aston Villa | 2 | – | 1 | @ 59% | >>> | 1 | – | 1 |
2015-12-20: | Watford | – | Liverpool | 1 | – | 1 | @ 40% | >>> | 3 | – | 0 |
2015-12-20: | Swansea | – | West Ham | 1 | – | 1 | @ 27% | >>> | 0 | – | 0 |
2015-12-21: | Arsenal | – | Man City | 1 | – | 1 | @ 48% | >>> | 2 | – | 1 |
Correct tendency for matchday 17: 2 out of 10 / 20% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 73 out of 170 / 43% (“by chance” would be ø ~33%)
Matchday 16: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2015-12-12: | Norwich | – | Everton | 1 | – | 2 | @ 41% | >>> | 1 | – | 1 |
2015-12-12: | Crystal Palace | – | Southampton | 1 | – | 1 | @ 43% | >>> | 1 | – | 0 |
2015-12-12: | Man City | – | Swansea | 2 | – | 0 | @ 61% | >>> | 2 | – | 1 |
2015-12-12: | Sunderland | – | Watford | 1 | – | 2 | @ 42% | >>> | 0 | – | 1 |
2015-12-12: | West Ham | – | Stoke | 1 | – | 1 | @ 36% | >>> | 0 | – | 0 |
2015-12-12: | Bournemouth | – | Man Utd | 1 | – | 2 | @ 46% | >>> | 2 | – | 1 |
2015-12-13: | Aston Villa | – | Arsenal | 0 | – | 2 | @ 57% | >>> | 0 | – | 2 |
2015-12-13: | Liverpool | – | West Brom | 1 | – | 0 | @ 51% | >>> | 2 | – | 2 |
2015-12-13: | Tottenham | – | Newcastle | 2 | – | 1 | @ 52% | >>> | 1 | – | 2 |
2015-12-14: | Leicester | – | Chelsea | 1 | – | 1 | @ 27% | >>> | 2 | – | 1 |
Correct tendency for matchday 16: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 71 out of 160 / 44% (“by chance” would be ø ~33%)
Matchday 15: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2015-12-05: | Stoke | – | Man City | 1 | – | 2 | @ 51% | >>> | 2 | – | 0 |
2015-12-05: | Arsenal | – | Sunderland | 2 | – | 0 | @ 62% | >>> | 3 | – | 1 |
2015-12-05: | Man Utd | – | West Ham | 2 | – | 0 | @ 54% | >>> | 0 | – | 0 |
2015-12-05: | Southampton | – | Aston Villa | 2 | – | 1 | @ 62% | >>> | 1 | – | 1 |
2015-12-05: | Swansea | – | Leicester | 0 | – | 1 | @ 46% | >>> | 0 | – | 3 |
2015-12-05: | Watford | – | Norwich | 2 | – | 1 | @ 42% | >>> | 2 | – | 0 |
2015-12-05: | West Brom | – | Tottenham | 0 | – | 1 | @ 49% | >>> | 1 | – | 1 |
2015-12-05: | Chelsea | – | Bournemouth | 1 | – | 0 | @ 55% | >>> | 0 | – | 1 |
2015-12-06: | Newcastle | – | Liverpool | 1 | – | 2 | @ 60% | >>> | 2 | – | 0 |
2015-12-07: | Everton | – | Crystal Palace | 2 | – | 1 | @ 43% | >>> | 1 | – | 1 |
Correct tendency for matchday 15: 3 out of 10 / 30% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 67 out of 150 / 45% (“by chance” would be ø ~33%)
Matchday 14: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2015-11-28: | Aston Villa | – | Watford | 1 | – | 1 | @ 36% | >>> | 2 | – | 3 |
2015-11-28: | Bournemouth | – | Everton | 1 | – | 2 | @ 51% | >>> | 3 | – | 3 |
2015-11-28: | Crystal Palace | – | Newcastle | 2 | – | 1 | @ 44% | >>> | 5 | – | 1 |
2015-11-28: | Man City | – | Southampton | 2 | – | 1 | @ 51% | >>> | 3 | – | 1 |
2015-11-28: | Sunderland | – | Stoke | 0 | – | 1 | @ 47% | >>> | 2 | – | 0 |
2015-11-28: | Leicester | – | Man Utd | 1 | – | 1 | @ 40% | >>> | 1 | – | 1 |
2015-11-29: | Tottenham | – | Chelsea | 2 | – | 1 | @ 48% | >>> | 0 | – | 0 |
2015-11-29: | West Ham | – | West Brom | 1 | – | 0 | @ 43% | >>> | 1 | – | 1 |
2015-11-29: | Liverpool | – | Swansea | 2 | – | 1 | @ 52% | >>> | 1 | – | 0 |
2015-11-29: | Norwich | – | Arsenal | 1 | – | 2 | @ 51% | >>> | 1 | – | 1 |
Correct tendency for matchday 14: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 64 out of 140 / 46% (“by chance” would be ø ~33%)
Matchday 13: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2015-11-21: | Watford | – | Man Utd | 1 | – | 2 | @ 42% | >>> | 1 | – | 2 |
2015-11-21: | Chelsea | – | Norwich | 1 | – | 0 | @ 35% | >>> | 1 | – | 0 |
2015-11-21: | Everton | – | Aston Villa | 2 | – | 0 | @ 63% | >>> | 4 | – | 0 |
2015-11-21: | Newcastle | – | Leicester | 1 | – | 2 | @ 46% | >>> | 0 | – | 3 |
2015-11-21: | Southampton | – | Stoke | 1 | – | 0 | @ 50% | >>> | 0 | – | 1 |
2015-11-21: | Swansea | – | Bournemouth | 2 | – | 1 | @ 47% | >>> | 2 | – | 2 |
2015-11-21: | West Brom | – | Arsenal | 0 | – | 2 | @ 62% | >>> | 2 | – | 1 |
2015-11-21: | Man City | – | Liverpool | 2 | – | 1 | @ 53% | >>> | 1 | – | 4 |
2015-11-22: | Tottenham | – | West Ham | 2 | – | 1 | @ 43% | >>> | 4 | – | 1 |
2015-11-23: | Crystal Palace | – | Sunderland | 2 | – | 1 | @ 60% | >>> | 0 | – | 1 |
Correct tendency for matchday 13: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 60 out of 130 / 46% (“by chance” would be ø ~33%)
Matchday 12: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2015-11-07: | Bournemouth | – | Newcastle | 1 | – | 1 | @ 36% | >>> | 0 | – | 1 |
2015-11-07: | Leicester | – | Watford | 2 | – | 1 | @ 46% | >>> | 2 | – | 1 |
2015-11-07: | Man Utd | – | West Brom | 2 | – | 0 | @ 58% | >>> | 2 | – | 0 |
2015-11-07: | Norwich | – | Swansea | 1 | – | 1 | @ 35% | >>> | 1 | – | 0 |
2015-11-07: | Sunderland | – | Southampton | 1 | – | 2 | @ 50% | >>> | 0 | – | 1 |
2015-11-07: | West Ham | – | Everton | 1 | – | 1 | @ 38% | >>> | 1 | – | 1 |
2015-11-07: | Stoke | – | Chelsea | 1 | – | 1 | @ 33% | >>> | 1 | – | 0 |
2015-11-08: | Aston Villa | – | Man City | 0 | – | 2 | @ 67% | >>> | 0 | – | 0 |
2015-11-08: | Arsenal | – | Tottenham | 2 | – | 1 | @ 58% | >>> | 1 | – | 1 |
2015-11-08: | Liverpool | – | Crystal Palace | 1 | – | 0 | @ 52% | >>> | 1 | – | 2 |
Correct tendency for matchday 12: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 55 out of 120 / 46% (“by chance” would be ø ~33%)
Matchday 11: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2015-10-31: | Chelsea | – | Liverpool | 1 | – | 1 | @ 38% | >>> | 1 | – | 3 |
2015-10-31: | Crystal Palace | – | Man Utd | 1 | – | 2 | @ 45% | >>> | 0 | – | 0 |
2015-10-31: | Man City | – | Norwich | 2 | – | 0 | @ 64% | >>> | 2 | – | 1 |
2015-10-31: | Newcastle | – | Stoke | 1 | – | 1 | @ 38% | >>> | 0 | – | 0 |
2015-10-31: | Swansea | – | Arsenal | 1 | – | 2 | @ 54% | >>> | 0 | – | 3 |
2015-10-31: | Watford | – | West Ham | 1 | – | 2 | @ 44% | >>> | 2 | – | 0 |
2015-10-31: | West Brom | – | Leicester | 1 | – | 1 | @ 43% | >>> | 2 | – | 3 |
2015-11-01: | Everton | – | Sunderland | 2 | – | 1 | @ 55% | >>> | 6 | – | 2 |
2015-11-01: | Southampton | – | Bournemouth | 2 | – | 0 | @ 59% | >>> | 2 | – | 0 |
2015-11-02: | Tottenham | – | Aston Villa | 2 | – | 0 | @ 69% | >>> | 3 | – | 1 |
Correct tendency for matchday 11: 6 out of 10 / 60% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 51 out of 110 / 46% (“by chance” would be ø ~33%)
Matchday 10: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2015-10-24: | Aston Villa | – | Swansea | 1 | – | 1 | @ 39% | >>> | 1 | – | 2 |
2015-10-24: | Leicester | – | Crystal Palace | 2 | – | 1 | @ 41% | >>> | 1 | – | 0 |
2015-10-24: | Norwich | – | West Brom | 1 | – | 1 | @ 34% | >>> | 0 | – | 1 |
2015-10-24: | Stoke | – | Watford | 2 | – | 1 | @ 48% | >>> | 0 | – | 2 |
2015-10-24: | West Ham | – | Chelsea | 0 | – | 1 | @ 31% | >>> | 2 | – | 1 |
2015-10-24: | Arsenal | – | Everton | 3 | – | 1 | @ 63% | >>> | 2 | – | 1 |
2015-10-25: | Sunderland | – | Newcastle | 1 | – | 1 | @ 37% | >>> | 3 | – | 0 |
2015-10-25: | Bournemouth | – | Tottenham | 0 | – | 1 | @ 45% | >>> | 1 | – | 5 |
2015-10-25: | Man Utd | – | Man City | 2 | – | 2 | @ 42% | >>> | 0 | – | 0 |
2015-10-25: | Liverpool | – | Southampton | 1 | – | 1 | @ 36% | >>> | 1 | – | 1 |
Correct tendency for matchday 10: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 45 out of 100 / 45% (“by chance” would be ø ~33%)
Matchday 9: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2015-10-17: | Tottenham | – | Liverpool | 1 | – | 1 | @ 47% | >>> | 0 | – | 0 |
2015-10-17: | Chelsea | – | Aston Villa | 2 | – | 1 | @ 49% | >>> | 2 | – | 0 |
2015-10-17: | Crystal Palace | – | West Ham | 1 | – | 1 | @ 41% | >>> | 1 | – | 3 |
2015-10-17: | Everton | – | Man Utd | 1 | – | 1 | @ 46% | >>> | 0 | – | 3 |
2015-10-17: | Man City | – | Bournemouth | 2 | – | 0 | @ 60% | >>> | 5 | – | 1 |
2015-10-17: | Southampton | – | Leicester | 2 | – | 1 | @ 48% | >>> | 2 | – | 2 |
2015-10-17: | West Brom | – | Sunderland | 2 | – | 1 | @ 50% | >>> | 1 | – | 0 |
2015-10-17: | Watford | – | Arsenal | 0 | – | 2 | @ 51% | >>> | 0 | – | 3 |
2015-10-18: | Newcastle | – | Norwich | 1 | – | 1 | @ 42% | >>> | 6 | – | 2 |
2015-10-19: | Swansea | – | Stoke | 2 | – | 1 | @ 41% | >>> | 0 | – | 1 |
Correct tendency for matchday 9: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 40 out of 90 / 44% (“by chance” would be ø ~33%)
Matchday 8: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2015-10-03: | Crystal Palace | – | West Brom | 2 | – | 1 | @ 51% | >>> | 2 | – | 0 |
2015-10-03: | Aston Villa | – | Stoke | 1 | – | 1 | @ 48% | >>> | 0 | – | 1 |
2015-10-03: | Bournemouth | – | Watford | 1 | – | 1 | @ 40% | >>> | 1 | – | 1 |
2015-10-03: | Man City | – | Newcastle | 2 | – | 0 | @ 57% | >>> | 6 | – | 1 |
2015-10-03: | Norwich | – | Leicester | 1 | – | 1 | @ 38% | >>> | 1 | – | 2 |
2015-10-03: | Sunderland | – | West Ham | 1 | – | 2 | @ 47% | >>> | 2 | – | 2 |
2015-10-03: | Chelsea | – | Southampton | 1 | – | 1 | @ 37% | >>> | 1 | – | 3 |
2015-10-04: | Everton | – | Liverpool | 1 | – | 1 | @ 48% | >>> | 1 | – | 1 |
2015-10-04: | Arsenal | – | Man Utd | 2 | – | 2 | @ 42% | >>> | 3 | – | 0 |
2015-10-04: | Swansea | – | Tottenham | 0 | – | 0 | @ 24% | >>> | 2 | – | 2 |
Correct tendency for matchday 8: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 35 out of 80 / 44% (“by chance” would be ø ~33%)
Matchday 7: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2015-09-26: | Tottenham | – | Man City | 1 | – | 2 | @ 47% | >>> | 4 | – | 1 |
2015-09-26: | Leicester | – | Arsenal | 1 | – | 2 | @ 43% | >>> | 2 | – | 5 |
2015-09-26: | Liverpool | – | Aston Villa | 2 | – | 1 | @ 57% | >>> | 3 | – | 2 |
2015-09-26: | Man Utd | – | Sunderland | 2 | – | 0 | @ 59% | >>> | 3 | – | 0 |
2015-09-26: | Southampton | – | Swansea | 1 | – | 1 | @ 29% | >>> | 3 | – | 1 |
2015-09-26: | Stoke | – | Bournemouth | 1 | – | 1 | @ 44% | >>> | 2 | – | 1 |
2015-09-26: | West Ham | – | Norwich | 2 | – | 1 | @ 47% | >>> | 2 | – | 2 |
2015-09-26: | Newcastle | – | Chelsea | 1 | – | 2 | @ 45% | >>> | 2 | – | 2 |
2015-09-27: | Watford | – | Crystal Palace | 1 | – | 1 | @ 36% | >>> | 0 | – | 1 |
2015-09-28: | West Brom | – | Everton | 1 | – | 2 | @ 44% | >>> | 2 | – | 3 |
Correct tendency for matchday 7: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 30 out of 70 / 43% (“by chance” would be ø ~33%)
Matchday 6: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2015-09-19: | Chelsea | – | Arsenal | 1 | – | 1 | @ 39% | >>> | 2 | – | 0 |
2015-09-19: | Aston Villa | – | West Brom | 1 | – | 2 | @ 45% | >>> | 0 | – | 1 |
2015-09-19: | Bournemouth | – | Sunderland | 1 | – | 1 | @ 36% | >>> | 2 | – | 0 |
2015-09-19: | Newcastle | – | Watford | 1 | – | 1 | @ 39% | >>> | 1 | – | 2 |
2015-09-19: | Stoke | – | Leicester | 0 | – | 0 | @ 41% | >>> | 2 | – | 2 |
2015-09-19: | Swansea | – | Everton | 2 | – | 2 | @ 28% | >>> | 0 | – | 0 |
2015-09-19: | Man City | – | West Ham | 2 | – | 1 | @ 54% | >>> | 1 | – | 2 |
2015-09-20: | Tottenham | – | Crystal Palace | 1 | – | 1 | @ 46% | >>> | 1 | – | 0 |
2015-09-20: | Liverpool | – | Norwich | 1 | – | 0 | @ 44% | >>> | 1 | – | 1 |
2015-09-20: | Southampton | – | Man Utd | 1 | – | 1 | @ 43% | >>> | 2 | – | 3 |
Correct tendency for matchday 6: 3 out of 10 / 30% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 26 out of 60 / 43% (“by chance” would be ø ~33%)
Matchday 5: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2015-09-12: | Everton | – | Chelsea | 1 | – | 2 | @ 38% | >>> | 3 | – | 1 |
2015-09-12: | Arsenal | – | Stoke | 2 | – | 1 | @ 63% | >>> | 2 | – | 0 |
2015-09-12: | Crystal Palace | – | Man City | 0 | – | 1 | @ 52% | >>> | 0 | – | 1 |
2015-09-12: | Norwich | – | Bournemouth | 1 | – | 2 | @ 38% | >>> | 3 | – | 1 |
2015-09-12: | Watford | – | Swansea | 1 | – | 1 | @ 32% | >>> | 1 | – | 0 |
2015-09-12: | West Brom | – | Southampton | 1 | – | 2 | @ 46% | >>> | 0 | – | 0 |
2015-09-12: | Man Utd | – | Liverpool | 1 | – | 1 | @ 49% | >>> | 3 | – | 1 |
2015-09-13: | Sunderland | – | Tottenham | 0 | – | 1 | @ 43% | >>> | 0 | – | 1 |
2015-09-13: | Leicester | – | Aston Villa | 2 | – | 1 | @ 53% | >>> | 3 | – | 2 |
2015-09-14: | West Ham | – | Newcastle | 1 | – | 0 | @ 46% | >>> | 2 | – | 0 |
Correct tendency for matchday 5: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 23 out of 50 / 46% (“by chance” would be ø ~33%)
Matchday 4: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2015-08-29: | Newcastle | – | Arsenal | 1 | – | 2 | @ 40% | >>> | 0 | – | 1 |
2015-08-29: | Aston Villa | – | Sunderland | 1 | – | 1 | @ 30% | >>> | 2 | – | 2 |
2015-08-29: | Bournemouth | – | Leicester | 1 | – | 1 | @ 34% | >>> | 1 | – | 1 |
2015-08-29: | Chelsea | – | Crystal Palace | 2 | – | 1 | @ 41% | >>> | 1 | – | 2 |
2015-08-29: | Liverpool | – | West Ham | 1 | – | 0 | @ 52% | >>> | 1 | – | 3 |
2015-08-29: | Man City | – | Watford | 3 | – | 1 | @ 54% | >>> | 2 | – | 0 |
2015-08-29: | Stoke | – | West Brom | 1 | – | 1 | @ 47% | >>> | 0 | – | 1 |
2015-08-29: | Tottenham | – | Everton | 1 | – | 1 | @ 41% | >>> | 0 | – | 0 |
2015-08-30: | Southampton | – | Norwich | 0 | – | 0 | @ 36% | >>> | 3 | – | 0 |
2015-08-30: | Swansea | – | Man Utd | 1 | – | 2 | @ 35% | >>> | 2 | – | 1 |
Correct tendency for matchday 4: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 18 out of 40 / 45% (“by chance” would be ø ~33%)
Matchday 3: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2015-08-22: | Man Utd | – | Newcastle | 2 | – | 0 | @ 54% | >>> | 0 | – | 0 |
2015-08-22: | Crystal Palace | – | Aston Villa | 1 | – | 1 | @ 30% | >>> | 2 | – | 1 |
2015-08-22: | Leicester | – | Tottenham | 1 | – | 1 | @ 22% | >>> | 1 | – | 1 |
2015-08-22: | Norwich | – | Stoke | 1 | – | 1 | @ 31% | >>> | 1 | – | 1 |
2015-08-22: | Sunderland | – | Swansea | 0 | – | 1 | @ 29% | >>> | 1 | – | 1 |
2015-08-22: | West Ham | – | Bournemouth | 2 | – | 1 | @ 36% | >>> | 3 | – | 4 |
2015-08-23: | West Brom | – | Chelsea | 1 | – | 2 | @ 32% | >>> | 2 | – | 3 |
2015-08-23: | Everton | – | Man City | 1 | – | 3 | @ 33% | >>> | 0 | – | 2 |
2015-08-23: | Watford | – | Southampton | 1 | – | 2 | @ 31% | >>> | 0 | – | 0 |
2015-08-24: | Arsenal | – | Liverpool | 1 | – | 1 | @ 40% | >>> | 0 | – | 0 |
Correct tendency for matchday 3: 5 out of 10 / 50% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 13 out of 30 / 43% (“by chance” would be ø ~33%)
Matchday 2: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2015-08-14: | Aston Villa | – | Man Utd | 1 | – | 2 | @ 29% | >>> | 0 | – | 1 |
2015-08-15: | Southampton | – | Everton | 1 | – | 1 | @ 28% | >>> | 0 | – | 3 |
2015-08-15: | Sunderland | – | Norwich | 1 | – | 1 | @ 25% | >>> | 1 | – | 3 |
2015-08-15: | Swansea | – | Newcastle | 1 | – | 1 | @ 29% | >>> | 2 | – | 0 |
2015-08-15: | Tottenham | – | Stoke | 2 | – | 1 | @ 37% | >>> | 2 | – | 2 |
2015-08-15: | Watford | – | West Brom | 1 | – | 1 | @ 26% | >>> | 0 | – | 0 |
2015-08-15: | West Ham | – | Leicester | 2 | – | 2 | @ 21% | >>> | 1 | – | 2 |
2015-08-16: | Crystal Palace | – | Arsenal | 1 | – | 2 | @ 23% | >>> | 1 | – | 2 |
2015-08-16: | Man City | – | Chelsea | 1 | – | 1 | @ 27% | >>> | 3 | – | 0 |
2015-08-17: | Liverpool | – | Bournemouth | 2 | – | 0 | @ 36% | >>> | 1 | – | 0 |
Correct tendency for matchday 2: 4 out of 10 / 40% (“by chance” would be ø ~33%)
Hit rate since matchday 1: 8 out of 20 / 40% (“by chance” would be ø ~33%)
Matchday 1: Premier League 2015/16: predictions @ z% DMSC* >>> real results:
2015-08-08: | Man Utd | – | Tottenham | 2 | – | 1 | @ 27% | >>> | 1 | – | 0 |
2015-08-08: | Bournemouth | – | Aston Villa | 1 | – | 1 | @ 21% | >>> | 0 | – | 1 |
2015-08-08: | Everton | – | Watford | 2 | – | 0 | @ 27% | >>> | 2 | – | 2 |
2015-08-08: | Leicester | – | Sunderland | 1 | – | 1 | @ 19% | >>> | 4 | – | 2 |
2015-08-08: | Norwich | – | Crystal Palace | 1 | – | 1 | @ 22% | >>> | 1 | – | 3 |
2015-08-08: | Chelsea | – | Swansea | 2 | – | 0 | @ 28% | >>> | 2 | – | 2 |
2015-08-09: | Arsenal | – | West Ham | 2 | – | 1 | @ 27% | >>> | 0 | – | 2 |
2015-08-09: | Newcastle | – | Southampton | 1 | – | 1 | @ 20% | >>> | 2 | – | 2 |
2015-08-09: | Stoke | – | Liverpool | 1 | – | 2 | @ 21% | >>> | 0 | – | 1 |
2015-08-10: | West Brom | – | Man City | 1 | – | 2 | @ 21% | >>> | 0 | – | 3 |
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™]