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A rich way to dive deeper into match data as a fan, an analyst, and a developer.
A new and improved xGChain: Proper attribution of xG value to each player involved in a passing sequence using ML.
Already looking for next Messi or next Ronaldo or even the Next Mbappe !!! We have something that will guide you !!
Script to identify team-specific build-up patterns, UI to allow scouts to easily view most popular passing patterns
Pivotal to MLS front office. Tool that guides transfer decisions on commercial and on field revenue scenarios.
A single intelligent solution solving three challenging and unique problems
An understudied part of a GK's game is their ability to quarterback their attack, beyond just pass success %.
Machine Learning Module
Who’s the MVP of US Soccer? Less than 1% of people in US follow soccer or play the game. The solution #SOCCEREDU
An analytical model cannot be built without the infrastructure necessary to collect and join a variety of data
In-Dept analysis of successful teams and what makes them successful
We developed a software package for advanced soccer analytics and integrated it into an interactive web application
We have built a prototype that
Fanalytics TV & mobile app provides fans with simple analytics that enhance their game watching experience
Our tool enables users to anticipate the next pass based on pass sequencing and past location-specific tendencies.
We use cluster analysis to evaluate playing styles that have the most value to a team and redefine traditional roles.
By machine learning, propensity scoring, and causal estimation, our project evaluates final third decision making.
Novel approach to team profiling and match prediction using machine learning.
Dribble is a user-centric app for women's soccer. It drives engagement through several types of habit forming hooks.
Attack the space! A tool describing an in-depth analysis of teams based on performances in zones on the soccer field.
A web tool for MLS clubs to asses the monetary value of International Roster Spots applied to specific squad roles.
Use player evaluation data and relative lineup strength to predict match outcomes
How do defensive characteristics play out throughout the course of a match?
Find players with skills most similar to yours or simply scout players with characteristics that fit your needs.
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