Region-based Teams Ranking in the Game of Cricket using PageRank Algorithm

Hussain, Akbar; Yan, Qiang; Abdul, Mohamed; Ullah, Inam; Ullah, Najeeb

doi:10.5120/ijca2019919458

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…In addition, they also included a weighted average to rank captains based on zscore of performance of a team, individual performance of captain as batsman and bowler [17]. Hussain at el in [6,7] investigated the team's strength but they ignored some important features for the team's batting, bowling, and fielding parameters.…”

Section: Literature Reviewmentioning

confidence: 99%

A Region-Based and a Unified Team’s Strength in the Game of Cricket Using Principal Component Analysis (PCA)

Hussain

Qiang

2020

Communications in Computer and Information Science

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In sports, one of the primary measures for assessing the performance of a team is their team's strength. The "team's strength" is the combination of various factors of a team such as batting, bowling and fielding strengths. In cricket, it is significant to measure the strengths of the teams across the region/venue because every region has different playing condition which affects their performance. The selectors should be aware of their team's strength against the opposite team from the visiting region so that the team's management, the coach and the captain select a strong combination from his team. A lot of research has done for player's performance measurement, team's selection, team's ranking, etc. but there is no research done in finding the strength of a team across the region. In this paper, we computed the Region-based Team's Strength (RTS) and a Unified Team's Strength (UTS) based on several parameters of a team using Principal Component Analysis (PCA). In addition, we also used the Weighted Average System (WAS) to compute the region-based team's strength. The intuition is to distinguish a stronger and a weaker team across the region. The results show that the proposed method provides quite promising insights into a region-based and a unified team's strength in cricket sports.

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Section: Literature Reviewmentioning

confidence: 99%

A Region-Based and a Unified Team’s Strength in the Game of Cricket Using Principal Component Analysis (PCA)

Hussain

Qiang

2020

Communications in Computer and Information Science

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The Ranking Prediction of NBA Playoffs Based on Improved PageRank Algorithm

Yang

Zhang²

2021

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It is of great significance to predict the results accurately based on the statistics of sports competition for participants research, commercial cooperation, advertising, and gambling profit. Aiming at the phenomenon that the PageRank page sorting algorithm is prone to subject deviation, the category similarity between pages is introduced into the PageRank algorithm. In the PR value calculation formula of the PageRank algorithm, the factor W(u, v) between pages is added to replace the original Nu (the number of links to page u). In this way, the content category between pages is considered, and the shortcoming of theme deviation will be improved. The time feedback factor in the PageRank-time algorithm is used for reference, and the time feedback factor is added to the first improved PR value calculation formula. Based on statistics from 1230 games during the NBA 2018-2019 regular season, this paper ranks the team strength with improved PageRank algorithm and compares the results with the ranking of regular-season points and the result of playoffs. The results show that it is consistent with the regular-season points ranking in the eastern division by the use of improved PageRank algorithm, but there is a difference in the second ranking in the western division. In the prediction of top four in playoffs, it predicts three of the four teams.

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Region-based Teams Ranking in the Game of Cricket using PageRank Algorithm

Cited by 2 publications

References 7 publications

A Region-Based and a Unified Team’s Strength in the Game of Cricket Using Principal Component Analysis (PCA)

A Region-Based and a Unified Team’s Strength in the Game of Cricket Using Principal Component Analysis (PCA)

The Ranking Prediction of NBA Playoffs Based on Improved PageRank Algorithm

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