Pass Evaluation in Women's Olympic Hockey

Passing during power plays in hockey is a crucial component to move one's team closer to scoring a goal. With the use of women's ice hockey event and tracking data from the elimination round games during the 2022 Winter Olympics, we evaluate passing and assess players' risk-reward behaviours in these high intensity moments. We develop a model for probabilistic passing that accounts for order of arrival to a desired location and potential interceptions along the way. This model is based on a player-specific motion model and a puck motion model that determines how far each player can reach in the time it takes the puck to reach a target. In addition, we model the rink control for each team and the scoring probability of the offensive team. These models are then combined into new metrics for quantifying where a pass should be made such that it would result in a high scoring opportunity or result in a high chance of maintaining possession. Finally, we use various metrics the evaluate passes made throughout the available power plays and compare them to the optimal options at that time. This can be used to identify the risk-reward tendencies of various players and can be used by coaches when selecting which players are best suited for a power play given the circumstances of the game.