Machine Learning and Data Mining for Sports Analytics by Unknown

Author:Unknown
Language: eng
Format: epub
ISBN: 9783030172749
Publisher: Springer International Publishing

4 Player Pair Metrics

We base our method for computing performance measures on the impact of actions2 as defined by [11]. However, we define the impact of players in different ways. First, we define different sets of actions for players and player pairs (Table 1). We differentiate between actions performed by a player and actions performed (by the player or another player) when a player is on the ice. The player impact is then defined using the actions when the player is on the ice (Table 2). This allows for a measure that includes indirect impact on the game by being on the ice. Even when players do not perform registered actions, they can still influence the game; e.g., by opening up a path for a teammate who may score. Further, we define the direct impact of a player based on the actions the player performs (and this is essentially the impact as defined in [11]).

For player pairs we define the impact using the actions when both players are on the ice. To be able to measure the influence of the players in the pair on each other, we also define the impact of a player without a particular second player, i.e., we use the actions when the first player is on the ice, but not the second.Table 1.Basic action sets.

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