Literature DB >> 25414734

Inconsistencies of the evaluation of home advantage in sports competitions under the three points per victory system.

Miguel Saavedra García1, Oscar Gutiérrez Aguilar2, Juan J Fernández Romero1.   

Abstract

A recent letter sent to the Journal of Human Kinetics' editor (Gómez & Pollard, 2014) warned about a supposed methodology error in the calculation of home advantage in football leagues used in Saavedra et al. (2013) and took the liberty of modifying the research's data. The aim of this letter is to demonstrate that the evaluation system of the home advantage proposed by Pollard (1986) contains serious inconsistencies when applied to competitions which give three points for a win and one point for a draw, as it is the case of the UEFA football leagues in the 21th century.

Entities:  

Year:  2014        PMID: 25414734      PMCID: PMC4234747          DOI: 10.2478/hukin-2014-0055

Source DB:  PubMed          Journal:  J Hum Kinet        ISSN: 1640-5544            Impact factor:   2.193


The analysis of home advantage (HA) aims to determine the existence of a benefit to the local teams and must meet the following axioms: Two teams which obtain the same amount of points as local must have the same HA value. Points obtained as local and HA must have a direct relationship, this is, the more/less amount of points obtained as local team, the more/less value of HA (as long as the number of matches played is constant). These axioms meet in the Pollard’s model (1986) when this is applied to competitions which give two points for a win and one point for a draw, but they do not meet in competitions which give three points for a win and one for a draw. For those competitions which do not allow a draw, Pollard (1986) suggests that the value of HA must be calculated as the number of matches won as local team and expressed as a percentage out of the total number of matches played. If the competition gives three points for a win and one for a draw, Pollard (1986) seems to ignore the effect caused, since a point per match ended in a draw is casted aside to calculate the total points obtained, which affects the HA value. This is avoided in Saavedra et al. (2013). When Pollard (1986) applies his theoretical model, he does not use a stable criterion, since there is a lack of justification for having excluded the matches which end in a draw in the US football and cricket and not in the rest of sports which allow ending in a draw too. The first inconsistency lies in the fact that two different competitions with the same number of matches and the same number of points obtained at home can have a different HA value when the Pollard’s model (1986) is applied. This fact is illustrated (Table 1) by using the data of the study by Sánchez et al. (2009).
Table 1

Two teams which obtain the same number of points as a local team will obtain the same HA value.

Second divisionNumber of gamesHome winsAway winsDrawsHome pointsHA Pollard (1986)HA Saavedra et al (2013)[*]
1998–9946220612413275059,8154,11
1999–0046220311814175060,2454,11

Data from *.

The second inconsistency in the Pollard’s model (1986) lies in the fact that HA does not have a direct relationship with the number of points obtained as a local team (as long as the same number of matches is played). This problem is solved by following the model suggested by Saavedra et al. (2013). This fact is illustrated (Table 2) by using the data of the study by Sánchez et al. (2009).
Table 2

Points obtained as a local team and HA must have a direct relationship.

SeasonDivisionNumber of gamesPoints per winPoints gained home teamsHA Sánchez et al. (2009)HA Saavedra et al. (2013)[*]
1997–981380365663,6957,54
1999–001380365864,0157,72
2001–021380365963,4357,81
1998–991380367064,2458,77
2004–051380367665,0059,30
2000–011380369666,8661,05
1996–971380377961,4868,33

Data from *.

  3 in total

1.  An analysis of home advantage in the top two Spanish professional football leagues.

Authors:  Pedro A Sánchez; Tomás García-Calvo; Francisco M Leo; Richard Pollard; Miguel A Gómez
Journal:  Percept Mot Skills       Date:  2009-06

2.  Home advantage in soccer: a retrospective analysis.

Authors:  R Pollard
Journal:  J Sports Sci       Date:  1986       Impact factor: 3.337

3.  Calculating Home Advantage in the First Decade of the 21th Century UEFA Soccer Leagues.

Authors:  Miguel Saavedra García; Oscar Gutiérrez Aguilar; Paulo Sa Marques; Gabriel Torres Tobío; Juan J Fernández Romero
Journal:  J Hum Kinet       Date:  2013-10-08       Impact factor: 2.193

  3 in total
  1 in total

1.  Validity of the established method of quantifying home advantage in soccer.

Authors:  Richard Pollard; Miguel-Ángel Gómez
Journal:  J Hum Kinet       Date:  2015-04-07       Impact factor: 2.193

  1 in total

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