driblabPRO Release Notes September ‘22

Category: News

During the last two months we have developed new tools at driblabPRO that expand the resources we provide to our clients.


During the last two months we have developed new tools at driblabPRO that expand the resources we provide to our clients.

xG on Target (xGoT) and Finishing xGOT

These new metrics can be found under the player tab within finishing map visualization.

xG values the shot before the player hits the ball while xGOT (Expected Goals on Target) tries to explain the value of a shot after the hit which allows crediting on-target shots. For example, a shot heading to the top corner is more likely to end up on goal than if it is headed to the middle of the goal. This metric oscillates between 0 and 1 so if a shot goes off-target it will always receive a XGOT of 0.

Finishing xGOT, which is based on the comparison of xG and xGOT, is a metric used to find out how good a player is on finishing. Its value is not simply linear, we have developed a model in order to fairly credit the finishing capacity. It is represented by a positive or negative percentage, depending on if the xGOT value is bigger or smaller than the xG’s value.

Let’s try to show this with an example.

Previous pictures show Alexis Mac-Allister’s 96th-minute free-kick against Leicester City. Because of the shot’s characteristics, this shot had 0.03 of xG value.

But given how good Alexis kicked the ball and the zone where the ball got into the goal, xGOT of this shot was 0.31, 10 times bigger than the xG values which credits the awesome shot (after the kicking the ball).

The finishing map also shows the total Finishing xGOT of the player in the present season (Premier League 2022/2023). The relation between the sum of xG (0.2) and xGOT (0.4) produces a value of +58.7% of Finishing xGOT which means that the Argentinian midfielder has added value to his goal chances thanks to the quality of his finishing actions.

League Average Comparison

A new section Compare with League Average appears in a players’ profile Performance tab, which allows you to compare their current performance with the same position average stats of a certain league. This feature is very useful to check how good or bad a player’s performance is against any average performance in a league he has played or is currently playing.

Squad Builder

This new functionality can be found under the Teams section. It lets a user sketch multiple different unique elevens, based on the chosen formation, including characteristics such us the player’s position and with the option to also show his team, market value or contract ending date. This feature also allows to store up to two more players in each position, as well as changing any player’s position by dragging it to the new desired position. Every created squad can be saved to later be loaded under the same tab.

Opponents Key Pass Map

This new option is available under the Key Pass Map tab in a team’s profile, that now also allows a user to check the Key Pass Map of opponent teams in the desired leagues. It offers useful information to investigate defensive effectiveness of any team and in how many key passes the grant a goal.

Create Season Templates

Under the Settings section there is a Templates tab, which lets a user create Radar Templates, and now it also allows to create Seasons Templates. This feature only requires a name and the desired seasons to include in it. These templates can later be used to filter easily in Player Ranking and Player Scout sections. Once it has been created, any template could also be deleted.

Use Season Templates on Player Scout & Player Rankings

The previously mentioned Season Template Feature is useful to select easily by seasons on Player Ranking and Player Scout sections.

For both sections, its functionality is very simple and intuitive, easing the filter task and reducing the needed time to compare the performance of those players belonging to any league in the chosen template or to scout players in any league of a certain template.

We are Driblab, a consultancy specialized in the statistical analysis of players and teams; our work is focused on advising and minimizing risk in professional football decision-making in areas related to talent detection and footballer evaluations. Our database has more than 200,000 players from more than 180 competitions, covering information from all over the world. Here you can learn more about how we work and what we offer.

Autor: Driblab
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Información corporativa

Somos una empresa con sede en Madrid fundada en 2017 por Salvador Carmona y Cristian Coré Ramiro. Desde nuestros inicios nuestro trabajo se ha centrado en el análisis estadístico de datos para ayudar a los clubes en la planificación deportiva. Somos una consultora big data que ofrece servicios personalizados para cada cliente y defiende un modelo de gestión mixto y una comunicación constante para acompañar el día a día de las instituciones. Nuestro punto fuerte es la más amplia cobertura disponible en número de torneos profesionales y juveniles. Para más detalles, póngase en contacto con nosotros.

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