ArgentinaARAustriaATAustraliaAUBelgiumBEBrazilBRSwitzerlandCHGermany - BundesligaDEGermany - 2. BundesligaD2DenmarkDKEngland - Premier LeagueENEngland - ChampionshipE2England - League OneE3England - League TwoE4England - National leagueE5Spain - La LigaESSpain - La Liga 2E2FinlandFIFrance - Ligue 1FRFrance - Ligue 2F2NetherlandsNLItaly - Serie AITItaly - Serie BI2JapanJPNorwayNOPolandPLPortugalPTRussiaRUScotlandSCSwedenSETurkeyTR

By date By topic Article Index

Relative performance - updated on: 18 Jun 2020


The Relative Performance table aims at contrasting some basic team performance indicators such as Points and Points Per Game, by factoring-in how presumably easy or difficult each team's played matches might have been.

The resulting Relative Performance Index is calculated for each team, based both on Points per Game and on an evaluation of the team's played opponents Points Per Game.

You may also want to read more contextual information regarding that table on the following page: Evaluating team performance


The table lists team ranked by points and shows, for each team:

  • Games played
  • Points
  • Points Per Game
  • Opponents Points Per Game
  • Relative Performance Index

Below is a view of some of the columns of the Relative Performance table:


Points Per Game (PPG)

The value is calculated based on the number of points for each team, divided by the number of matches played by the team.

Opponents Points Per Game

The Opponents PPG value is calculated based on the combined value of Away Points Per Game of opponents played at home and Home PPG of opponents played away. The details of each opponent PPG value can be displayed by hovering the mouse cursor over any Opponents PPG value on the table.


Relative Performance Index

That value is calculated by multiplying the team's PPG value with the played opponents' PPG value.

Such Relative Performance Index (RPI) is aimed at giving a sense of a team's performance in terms of results, by taking into account how "easy" or how "difficult" the points picked up by the team might have been. To estimate such a "difficulty level", the RPI uses the Points Per Game of the opponents already played by the team.

In the example below, two teams are equal in points (18 points each) and, as they have played the same number of matches, their Points Per Games ratio is logically identical (2.00 PPG for each team). However, since one of the teams has played opponents that have a higher combined PPG (1.48 vs 1.41), that team has a higher RPI value.

Another example, if Team A has a PPG a little bit lower than Team B's PPG, but with Team A having already played against the toughest opponents while Team B so far only played against lower-level teams, then Team A's Relative Performance Index might end up being higher than Team B's, despite Team A having fewer points and a lower Points Per Game value.

However a higher RPI will not necessarily mean a superior strength. It only includes an estimation of the oppositions' strength in the equation, instead of focusing only on total points or Points per Game.


You can view an example on the Relative Performance page for the Bundesliga.


Avoiding pitfalls

The Relative Performance Index value calculation gives as much importance to the team PPG as it does to the Opponents PPG. The idea is to apply some sort of "weight" to a team's PPG, in order to factor-in the level of opposition the team's points have been picked up against.

However in the early stages of the season, the PPG values can be much higher or much lower than what they become as the season progresses. This may cause such a calculation, based on PPG averages, to use values that can be more extreme at the begining of the season. The more matches have been played in the season, the more meaningful the PPG values will become.

Related statistics

In addition to the RPI, another statistics table making use of opponents PPG is the Run-in analysis table, which is also discussed in Evaluating matches difficulty-level.

 ENGLAND  Premier League
 Tottenham 10 21
 Liverpool 10 21
 Chelsea 10 19
 Leicester City 10 18
 West Ham Utd 10 17
Premier League stats

 ITALY  Serie A
 AC Milan 9 23
 Inter Milan 9 18
 Napoli 9 18
 Sassuolo 9 18
 Juventus 9 17
Serie A stats

 SPAIN  Primera Division
 Real Sociedad 11 24
 Atletico Madrid 9 23
 Villarreal 11 20
 Real Madrid 10 17
 FC Sevilla 9 16
Primera Division stats

 FRANCE  Ligue 1
 Paris SG 12 25
 Lille 12 23
 Lyon 12 23
 Monaco 12 23
 Montpellier 12 23
Ligue 1 stats

 GERMANY  Bundesliga
 Bayern Munich 9 22
 RB Leipzig 9 20
 Leverkusen 9 19
 Dortmund 9 18
 Wolfsburg 9 17
Bundesliga stats

 NETHERLANDS  Eredivisie
 Ajax Amsterdam 10 27
 Vitesse Arnhem 10 25
 PSV Eindhoven 10 23
 Feyenoord 10 22
 FC Twente 10 18
Eredivisie stats provides football statistics and results on national and international soccer competitions worldwide. Football fans can keep a tab on stats related to their favourite team or leagues of interest, and access a wide range of team performance data analytics and league standings, not only on the world's most famous professional leagues, but also on amateur and regional leagues over the world. Example of soccer statistics include league standings, form tables, top goal scorers, scoring stats, statistical previews, goal times and attendance stats.


Follow us on Twitter
F.A.Q. Contact Privacy Policy Change consent
Terms & conditions of use Cookie usage and options About us

18+ only. You must be 18 years old or older to use this website. Please note that match schedules and timing are subject to changes. Products, services, promotional offers and other offerings from partners and advertisers are subject to terms and conditions. This website is not associated or endorsed by any league (whether professional, collegiate or other types of leagues / competitions), federation, association, club or team. This website is not aimed at persons under 18 years old. All trademarks, brands, images, logos and names appearing on this website belong to their respective owners.
Useful links (third-party websites):   GamCare (       BeGambleAware (
      Copyright 1998-2020