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dc.contributor.authorHvattum, Lars Magnus
dc.contributor.authorGelade, Garry A.
dc.date.accessioned2023-11-03T09:28:48Z
dc.date.available2023-11-03T09:28:48Z
dc.date.created2021-07-09T13:41:14Z
dc.date.issued2021
dc.identifier.citationInternational Journal of Computer Science in Sport. 2021, 20 (1), 23-42.en_US
dc.identifier.issn1684-4769
dc.identifier.urihttps://hdl.handle.net/11250/3100446
dc.description.abstractCorrectly assessing the contributions of an individual player in a team sport is challenging. However, an ability to better evaluate each player can translate into improved team performance, through better recruitment or team selection decisions. Two main ideas have emerged for using data to evaluate players: Top-down ratings observe the performance of the team as a whole and then distribute credit for this performance onto the players involved. Bottom-up ratings assign a value to each action performed, and then evaluate a player based on the sum of values for actions performed by that player. This paper compares a variant of plus-minus ratings, which is a top-down rating, and a bottom-up rating based on valuing actions by estimating probabilities. The reliability of ratings is measured by whether similar ratings are produced when using different data sets, while the validity of ratings is evaluated through the quality of match outcome forecasts generated when the ratings are used as predictor variables. The results indicate that the plus-minus ratings perform better than the bottom-up ratings with respect to the reliability and validity measures chosen and that plus-minus ratings have certain advantages that may be difficult to replicate in bottom-up ratings. Keywords: association football, ranking, prediction, plus-minus, validityen_US
dc.language.isoengen_US
dc.relation.urihttps://doi.org/10.2478/ijcss-2021-0002
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleComparing bottom-up and top-down ratings for individual soccer playersen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber23-42en_US
dc.source.volume20en_US
dc.source.journalInternational Journal of Computer Science in Sporten_US
dc.source.issue1en_US
dc.identifier.doi10.2478/ijcss-2021-0002
dc.identifier.cristin1921181
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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