Sökning: onr:"swepub:oai:DiVA.org:liu-184815" >
Predicting Season O...
Predicting Season Outcomes for the NBA
-
- González Dos Santos, Teno (författare)
- Linköpings universitet
-
- Wang, Chunyan, 1972- (författare)
- Linköpings universitet,Institutionen för datavetenskap,Tekniska fakulteten
-
- Carlsson, Niklas, 1977- (författare)
- Linköpings universitet,Databas och informationsteknik,Tekniska fakulteten,IDA/ADIT
-
visa fler...
-
- Lambrix, Patrick, Professor, 1965- (författare)
- Linköpings universitet,Databas och informationsteknik,Tekniska fakulteten,Swedish e-Science Research Centre, Stockholm, Sweden,IDA/ADIT
-
visa färre...
-
(creator_code:org_t)
- 2022-04-30
- 2022
- Engelska.
-
Ingår i: Machine Learning and Data Mining for Sports Analytics. - Cham, Switzerland : Springer. - 9783031020438 - 9783031020445 ; , s. 129-142
- Relaterad länk:
-
http://libris.kb.se/...
-
visa fler...
-
https://liu.diva-por... (primary) (Raw object)
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Predicting game or season outcomes is important for clubs as well as for the betting industry. Understanding the critical factors of winning games and championships gives clubs a competitive advantage when selecting players for the team and implementing winning strategies. In this paper, we work with NBA data from 10 seasons and propose an approach for predicting game outcomes that is then used for predicting which team will be champion and which stages a team will reach in the playoffs. We show that our approach has a similar performance as the odds from betting companies and does better than ELO.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- sports analytics
- basketball
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
Hitta via bibliotek
Till lärosätets databas