Algorithms for Performance Prediction in Cricket – Factors Influencing the Player
Analyzing the cricket players well in ahead will help in forming better team for the match and thereby predict the chance of winning and also predict the scores. In this paper, a literature survey is carried out on various machine learning algorithms those are suitable for categorizing the players are best batter, bowler, spinner and allrounder based on their previous matches and ranking. In addition, various factors like venue of the match, weather conditions, toss wining and many more decide the winning and score of a team. Apart from this fradulence of match fixing also take place by players, officials, referees and various other members involved in the game of cricket which has millions of followers worldwide.
Authors
- S. Radha (ORCID: https://orcid.org/0000-0003-4817-3683)
- P. Nagabushanam (ORCID: https://orcid.org/0000-0002-3121-9668)
- S. Rekha (ORCID: https://orcid.org/0000-0002-9166-1466)
- K. Vasanth
- Vivek Singh Kushwah (ORCID: https://orcid.org/0000-0002-7721-7262)
- Thota Praneeth Sai
Institutions
- Chaitanya Bharathi Institute of Technology (IN)
- Institute of Engineering (NP)
Publication Details
- Published
- 2024-12-22
- DOI
- https://doi.org/10.1109/cicn63059.2024.10847437
- Primary Topic
- Sports Analytics and Performance
- Type
- article
- Field-Weighted Citation Impact
- 0.00