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pi-ratings (Home). Updated on 26/01/2017
RankTeampi-rating
1Tottenham1.31
2Chelsea1.23
3Arsenal1.21
4Liverpool1.13
5Man City1.10
6Man United1.00
7Everton0.78
8Southampton0.77
9West Ham0.61
10Leicester0.48
11Stoke0.39
12West Brom0.36
13Middlesbrough0.11
14Swansea0.06
15Sunderland0.00
16Burnley0.00
17Crystal Palace-0.03
18Bournemouth-0.05
19Watford-0.13
20Hull-0.37
  

pi-ratings (Away). Updated on 26/01/2017
RankTeampi-rating
1Tottenham0.98
2Chelsea0.98
3Arsenal0.98
4Man City0.79
5Liverpool0.78
6Man United0.70
7Everton0.45
8Southampton0.39
9Leicester0.36
10West Brom0.26
11West Ham0.24
12Stoke0.17
13Swansea0.00
14Crystal Palace-0.02
15Bournemouth-0.06
16Burnley-0.11
17Middlesbrough-0.12
18Sunderland-0.23
19Watford-0.24
20Hull-0.43
  


pi-ratings

 

The graphs illustrate the development of the pi-ratings for the specified team and over the specified period. The pi-rating system determines the level of ability of football teams by dynamically rating the relative discrepancies in scores between adversaries.
For rating definition see [1]. The development of the pi-ratings presented in this section assume the learning rates of lamda=0.02 and gamma=0.5, with the starting point for rating development set to the EPL season 1992/93, and considering only EPL match instances. The latest update includes the match instances occurred on: 29/10/2012.
[1]
Constantinou, Anthony C., Fenton, Norman E. (2012). Determining the level of ability of football teams by dynamic ratings based on the relative discrepancies in scores between adversaries. Submitted for publication, 2012 [draft here]

 

Team:         Season:  

 

pi-ratings (Overall). Updated on 26/01/2017
RankTeampi-rating
1Tottenham1.15
2Chelsea1.10
3Arsenal1.10
4Liverpool0.96
5Man City0.95
6Man United0.85
7Everton0.62
8Southampton0.58
9West Ham0.42
10Leicester0.42
11West Brom0.31
12Stoke0.28
13Swansea0.03
14Middlesbrough-0.01
15Crystal Palace-0.03
16Bournemouth-0.06
17Burnley-0.06
18Sunderland-0.11
19Watford-0.19
20Hull-0.40
  









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