We analyze how coaching strategies and in-game tactics can possibly affect goal difference and home-win probabilities using hand-coded Serie A match commentary (2011/12-2013/14). We analyze home-away goal difference, home-win probability, and home points using generalized linear, logit, and proportional-odds models. By coupling such models with robust and bootstrap inference, we find stable results: aggressive opening schemes are positively associated with performance, shots and goal-kicks exhibit consistent positive effects, crosses display a persistent negative association, and referee decisions-especially red cards and penalties-strongly shape outcomes. These relationships remain robust to alternative specifications, extensive subset selection, and model-averaging procedures that account for model uncertainty. Beyond confirming home advantage, we show that coaching decisions are systematically associated with match performance conditional on pre-match strength and market expectations. Our approach sheds light on the rationale of real-time coaching and introduces a scalable, text-based framework for studying decision-making under uncertainty in competitive environments.

Strategic play and home advantage: coaches' tactical impact in Serie A

Giannerini S.;
2026-01-01

Abstract

We analyze how coaching strategies and in-game tactics can possibly affect goal difference and home-win probabilities using hand-coded Serie A match commentary (2011/12-2013/14). We analyze home-away goal difference, home-win probability, and home points using generalized linear, logit, and proportional-odds models. By coupling such models with robust and bootstrap inference, we find stable results: aggressive opening schemes are positively associated with performance, shots and goal-kicks exhibit consistent positive effects, crosses display a persistent negative association, and referee decisions-especially red cards and penalties-strongly shape outcomes. These relationships remain robust to alternative specifications, extensive subset selection, and model-averaging procedures that account for model uncertainty. Beyond confirming home advantage, we show that coaching decisions are systematically associated with match performance conditional on pre-match strength and market expectations. Our approach sheds light on the rationale of real-time coaching and introduces a scalable, text-based framework for studying decision-making under uncertainty in competitive environments.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1338848
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