Tag: Ligue 1

Shot quality and results in football

We investigate the link between shot quality, as measured by the team average xG per shot, and both results (in terms of wins) and performance (measured with our Expected Points model), for the top 5 European leagues. We find a strong link between xG per shot difference (xG per shot minus xG per shot conceded,…

November 4, 2022
The Very Exclusive xOVA Club

We introduced Expected Offensive Value Added, or ‘xOVA’, to facilitate scouting for creative and skilled players, who are able to have a great impact in the final third of the pitch. Therefore, forwards, wingers and attacking midfielders top our xOVA charts. For example, in our database, the highest seasonal xOVA (22.27) was produced by Lionel…

May 25, 2022
Measuring pressing success: Buildup Disruption Percentage (BDP)

Pressing is a fundamental part of many teams’ game plan in modern football. At the same time, it is difficult to measure it accurately using event data. While PPDA is certainly a very useful metric, in our view it would be advisable to complement it with different, indirect measurements of how teams are able to…

January 27, 2022
Soccerment's Expected Points model

Expected Goals (xG) models allow us to quantify the chance quality of individual shots. This gives us the chance to quantify the probability of a team winning, losing or drawing the match, based on the two team’s total xG during the match. In turn, this can be translated into an expectation value for points gained…

January 12, 2022
Expected Threat

One of the cornerstones of measuring offensive contributions in football is based on a very simple fact: the likelihood of scoring a goal in the next few actions depends heavily on the distance to goal at any given moment. It follows, therefore, that the most valuable actions, besides those directly related to scoring such as…

December 6, 2021
Top 5 leagues through the "xLenses"

League football is back after an intense international break. Time for recapping what has happened so far in the European top 5 competitions. We have analysed them using our advanced metrics (xPoints, xG, xA, xOVA, etc.), which sometimes confirm the tables’ initial verdicts (like in the case of Napoli), while in other cases highlight how…

October 13, 2021
[ITA] – Le statistiche avanzate di Soccerment

Uno degli obiettivi principali dell’analisi dati applicata al calcio è di informare chi prende decisioni strategiche nel modo più oggettivo e imparziale possibile. Poiché il calcio è uno sport con punteggi bassi, dove il risultato è determinato da eventi rari soggetti ad un alto grado di casualità, statistiche come gol e assist sono spesso insufficienti…

August 12, 2021
Soccerment's Advanced Metrics

One of the main goals of data analytics in football is to inform performance analysts and other decision-makers in the most objective and unbiased way possible. As football is a low-scoring sport with crucial events that are subject to a high degree of randomness, metrics such as goals scored and assists are often insufficient to…

August 11, 2021
[ITA] – Coppie goal e cuori infranti

Per un attaccante, trovare la giusta alchimia con il proprio compagno di reparto è una parte fondamentale del gioco. Solitamente fa la differenza tra un attacco affidabile, prolifico e uno sterile. A volte, le sinergie create dalle partnership sono talmente rilevanti che romperle è estremamente doloroso, sia per i tifosi che per gli allenatori. Pensate…

August 11, 2021
Relationship goals and painful breakups

For a forward, finding the right chemistry with a strike partner is a fundamental part of the game. It often makes the difference between a solid, reliable attack and a stagnant one. Sometimes, the synergies created by the partnerships are such that breaking them is really painful, for fans as well as for the coaches.…

August 10, 2021

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