VML and Wisła Kraków, one of the most innovative clubs in European sport, unveil a pioneering initiative to strengthen its relationship with supporters.

The "Lucky Fan Index" utilizes advanced algorithms to build a deeper connection with fans in a way they're accustomed to in a digital world dominated by social media and personalization. The initiative also opens up new opportunities in commerce.

The mechanism of the "Lucky Fan Index" is based on an advanced algorithm that analyzes over 200 match metrics and cross-references them with the presence of a specific fan in the stadium. The system evaluates not only the match result but also the quality of the team's play – offense, defense, match control, and key moments – during the time a given fan was supporting the team from the stands.

Wisla Krakow LFI Video Case
We analyzed the profiles of nearly a quarter of a million fans and their presence at home matches, as well as on-field results based on over 100 dimensions. This demonstrates how deeply data can be explored today. Our fans are unique, and this type of activity allows us to better understand them, but also objectively showcases our technological capabilities.

Jarosław Królewski

CEO, Wisła Kraków FC

To innovate beyond traditional fan engagement by providing a measurable, personalized indication of a fan's "luck" and impact on match outcomes.

The desire to build deeper fan connections in a digitally-native, personalized world, recognizing the emotional value fans bring to the club.

Each fan receives a personalized index, showing their unique impact on the season's sporting history. For example, if a fan's presence at the stadium coincides with a crucial, winning moment – such as a game-deciding goal – their index increases, as the algorithm considers the real impact of such events on the course of the match. Conversely, if a fan participates in a match full of missed opportunities or unfavorable turns of events, the index may decrease.

Significantly, the system also analyzes the statistical context. If the team wins a match against predictions – despite weaker game parameters or a lower xG – the luck coefficient increases, boosting the score for fans present in the stands. The detailed methodology and algorithm structure are transparently presented in the web application, accessible to project users.

The project aims to enhance fan understanding, foster engagement through personalized data, open new commerce perspectives, and celebrate the unique, quantifiable influence of each supporter. The AI-driven tool ("Lucky Fan Index") analyzed 250k fan profiles, 100+ dimensions of fan presence, and 200+ match metrics to generate personalized "luck" indices.
Sport is primarily entertainment. Thanks to the Lucky Fan Index, we have captured its previously unquantifiable dimension, making spectators real participants in their team's game.

Piotr Osiński

Chief Creative Officer, VML Poland

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