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The Key Players and Key Groups in Teams: A Network Approach Using MCFC Soccer Data

The Key Players and Key Groups in Teams: A Network Approach Using MCFC Soccer Data. Ying Zhu Electrical Engineering Department. Objectives. Question : Who is the most influential player, i.e., the key player, in a soccer team? A naive answer: the player with the most goals.

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The Key Players and Key Groups in Teams: A Network Approach Using MCFC Soccer Data

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  1. The Key Players and Key Groups in Teams: A Network Approach Using MCFC SoccerData Ying Zhu Electrical Engineering Department

  2. Objectives Question:Whoisthemostinfluentialplayer,i.e.,thekeyplayer,inasoccerteam? • A naive answer: the player with the most goals. • A better answer: in modern soccer • A player cannot score without a good sequence of passes. • The player most central to the passes are often the key player. Objectives of Our Research • Find the key player using real-time match data. • Rank players by their influence. • Find the most influential , or key , player group Significance: • Can be used for player performance evaluation and improvement. • Can be used for to determine player valuation for business. • Techniques can be used in other applications (e.g., military, finance, crime fighting)

  3. 2 15 10 3 1 Methodology 4 • Datarepresentation: • Onereal-time playermatchdata(Manchester City (MC) vs. Bolton Wanderers (BW); Date: 08/21/2011, Result: Manchester City won) • Representasapassingnetwork(successful passescompleted by each team as two passing network matrixes, MC and BW ). • Forexample: 4 nodes adjacency matrix: • Passing network data interpretation: rows: passes made; columns: passes received • Mathematical modeling: • Keyplayer:ifthekeyplayerisremoved,thetotalteamperformancesuffersthemost • Howtofindthekeyplayer:the key player has the highest inter-centrality • Ability weights: 5 8 7 6 10 8 5

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