体育赛事投注记录

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Rising Star Evaluation Using Statistical Analysis in Cricket

  • Amruta Khot
  • Aditi ShindeEmail author
  • Anmol Magdum
Conference paper
  • 20 Downloads
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 127)

Abstract

体育赛事投注记录in cricket domain, the team players are selected on the basis of various factors like runs, strike rate, etc. here, a concept of co-players is introduced for predicting the rising stars for better team selection. various essential features for batsmen and bowler are evaluated. analysis for selecting the best features is done. using machine learning techniques, the actual prediction of top 10 rising stars is done. also, a concept of all-rounder is introduced besides batting and bowling domain and is taken into account for the prediction. this is matched with the international cricket council (icc) status or position of player.

Keywords

Cricket Statistics Support vector machine Data analysis 

References

  1. 1.
    Daud A, Muhammad F, Dawood H, Dawood H (2015) Ranking cricket teams. Inf Process Manage 51(2):62–73
  2. 2.
    Ahmad H, Daud A, Wang L, Hong H, Yang Y, Dawood H (2007) Prediction of rising stars in the game of cricket. Access 2682162
  3. 3.
    Li X-L, Foo CS, Tew KL, Ng S-K (2009) Searching for rising stars in bibliography networks. In: Proceedings of the International conference on database systems for advanced applications, pp 288–292
  4. 4.
    Daud A, Ahmad M, Malik M, Che D (2015) Using machine learning techniques for rising star prediction in co-author network. Scientometrics 102(2):16871711

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  1. 1.Walchand College of EngineeringSangliIndia

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