Generalized Action-based Ball Recovery Model using 360$^\circ$ data
Ricardo Furbino Marques do Nascimento Hugo M. R. Rios-Neto
Even though having more possession does not necessarily lead to winning,
teams like Manchester City, Liverpool, and Leeds United notably have tried to
recover the ball quickly after they lost it over the past few years. Nowadays,
some of the top managers in the world apply high-pressing styles, and concepts
such as the five-second rule, usually credited to Guardiola, have been
spreading out [9][10], becoming a fundamental part of how lots of teams have
played over the recent years. Expressions like "don't let them breathe" and
"get the ball back as soon as possible" are often heard in the media [4][5][6],
but what are the actions that most lead to a change in possession? What is the
influence of a team's positioning on the ball recovery? Which are the players
that more often collapse when under pressure? Can we evaluate the defensive
dynamics of teams that do not necessarily press the player in possession as
intensely as those mentioned above? We try to answer those and other questions
in this paper by creating a Generalized Action based Ball Recovery model (GABR)
using Statsbomb 360$^\circ$ data.