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™]

Data-Mining-Soccer-top-of-page Data-Mining-Soccer-football-result-prediction DataMiningSoccer @ twitter (EN) DataMiningSoccer @ facebook (EN) width= DataMiningSoccer @ YouTube (EN)