Premier League 2015/16

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.

Premier-League-Football-Result-Predictions

Final tables: Premier League 2015/16

Total table:
Leicester Arsenal Tottenham Man City Man Utd Southampton West Ham Liverpool Stoke Chelsea Everton Swansea Watford West Brom Crystal Palace Bournemouth Sunderland Newcastle Norwich Aston Villa

Home table:
Leicester Man Utd Arsenal Man City Tottenham Southampton West Ham Liverpool Swansea Newcastle Stoke Sunderland Chelsea Watford Everton Norwich West Brom Crystal Palace Bournemouth Aston Villa

Away table:
Leicester Tottenham Arsenal West Ham Man City Liverpool Southampton Chelsea Man Utd Everton Stoke Bournemouth Crystal Palace Watford West Brom Swansea Sunderland Norwich Newcastle Aston Villa

Premier-League-Football-Result-Predictions

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].

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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%)

Premier-League-Football-Result-Predictions

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™]

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