Region-wise Ranking of Sports Players based on Link Fusion

Daud, Ali; Hussain, Akbar; Abbasi, Rabeeh Ayaz; Aljohani, Naif Radi; Amjad, Tehmina; Dawood, Hassan

doi:10.1145/3184558.3186335

Cited by 6 publications

(7 citation statements)

References 14 publications

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“…Where ∑ is the region-wise batting strength of team t in region r., and , finding the optimum combination of these variables is difficult in the absence of gold standard benchmark rankings. Daud et al assigned and to different weights such as = and = 60%; however, we used to each of the features [13], [12].…”

Section: Proposed Methods 1) Region-wise Team 'Strengthmentioning

confidence: 99%

“…The International Cricket Council (ICC) ranks cricket teams without considering the strengths and weaknesses across the region. However, Daud et al [13] proposed a Region-based Players Link fusion (RPLF) algorithm to rank cricket players by using a regionbased intra-type and inter-type relation-based features to rank the players in cricket.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Region-wise Ranking for One-Day International (ODI) Cricket Teams

Hussain¹,

Qiang²,

Bilal³

et al. 2019

IJACSA

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In cricket, the region plays a significant role in ranking teams. The International Cricket Council (ICC) uses an ad-hoc points system to rank cricket teams, which entirely based on the number of wins and losses a match. The ICC ignores the strength and weaknesses of the team across the region. Even though the relative accuracy in the ad-hoc ranking is high, but they do not provide a clearly defined method of ranking. We proposed Region-wise Team Rank (RTR) and a Region-wise Weighted Team Rank (RWTR) to rank cricket teams. The intuition is to get more points to a team that wins a match from a stronger team as compared to a team that wins against a weaker team & vice versa. The proposed method considers not only the number of region-wise wins and losses but also incorporates the region-wise strength and weakness of a team while assigning them the ranking score. In conclusion, the ranking list of the teams compares to the ICC official ranking.

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Section: Proposed Methods 1) Region-wise Team 'Strengthmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Region-wise Ranking for One-Day International (ODI) Cricket Teams

Hussain¹,

Qiang²,

Bilal³

et al. 2019

IJACSA

Self Cite

View full text Add to dashboard Cite

show abstract

“…The application of machine learning, the artificial neural network is applied to predict the match results [7]. Daud et al proposed a Regionwise Players Link fusion (RPLF) algorithm to rank cricket players using a region-wise intra-type and inter-type relationbased features to rank the players in cricket in ODI cricket [8].…”

Section: Related Workmentioning

confidence: 99%

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

Hussain¹,

Yan²,

Abdul³

et al. 2019

IJCA

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Cricket sport is a favorite source of entertainment in commonwealth countries. Traditionally in cricket, the performance of the team measures after winning or losing a match. The international cricket council (ICC) is a governing body that ranks cricket teams globally without considering the strength and weakness of the region. Region-based team's strength and weakness is an essential factor for the teams' selection. In this paper, we proposed the Region-wise Team Rank (RWTR), an extension of the PageRank algorithm to rank cricket teams across the region. The intuition is to get more points to a team that wins a match from a stronger. The proposed ranking reflects more the flow of the game compared to the traditional ranking.

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“…There are five a region in the world in which cricket is played internationally. These regions are Asia, Africa, the Americas, Europe, and Oceania Region 3 . Regionbased ranking classifies the team's strengths and weaknesses across the region/venue which entirely ignored by the ICC.…”

Section: Introductionmentioning

confidence: 99%

“…https://www.icc-cricket.com/about/cricket/game-formats/the-three-formats 3. https://www.icc-cricket.com/about/members.…”

mentioning

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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Region-wise Ranking of Sports Players based on Link Fusion

Cited by 6 publications

References 14 publications

Region-wise Ranking for One-Day International (ODI) Cricket Teams

Region-wise Ranking for One-Day International (ODI) Cricket Teams

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

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

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