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By date By topic Article Index

Relative performance

SoccerSTATS.com - updated on: 18 Jun 2020


Objective

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


Description

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:


Calculations

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.


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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.


Example

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


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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
 Manchester City 36 83
 Manchester Utd 36 70
 Leicester City 36 66
 Chelsea 36 64
 Liverpool 36 63
Premier League stats

 ITALY  Serie A
 Inter Milan 37 88
 Atalanta 37 78
 Napoli 37 76
 AC Milan 37 76
 Juventus 37 75
Serie A stats

 SPAIN  Primera Division
 Atletico Madrid 37 83
 Real Madrid 37 81
 FC Barcelona 37 76
 FC Sevilla 37 74
 Real Sociedad 37 59
Primera Division stats

 FRANCE  Ligue 1
 Lille 37 80
 Paris SG 37 79
 Monaco 37 77
 Lyon 37 76
 Marseille 37 59
Ligue 1 stats

 GERMANY  Bundesliga
 Bayern Munich 33 75
 RB Leipzig 33 65
 Dortmund 33 61
 Wolfsburg 33 61
 E. Frankfurt 33 57
Bundesliga stats

 NETHERLANDS  Eredivisie
 Ajax Amsterdam 34 88
 PSV Eindhoven 34 72
 AZ Alkmaar 34 71
 Vitesse Arnhem 34 61
 Feyenoord 34 59
Eredivisie stats









SoccerSTATS.com 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.


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