MONEYBOL.AI | Football Analytics Intelligence

OVERVIEW:
MoneyBol is an experimental football analytics platform developed by Contender Studio, exploring how data, artificial intelligence, and human-centred design can improve player discovery, evaluation, and scouting.

Inspired by Moneyball, the goal was to make complex football data more accessible and actionable for clubs, scouts, agents, and athletes, supporting smarter decisions without replacing human expertise.

APPROACH:
Using Lean UX and Design Sprint methodologies, we explored how football data could be transformed into intuitive, engaging digital experiences.

Through research, user flows, and rapid prototyping, we designed player profiles, performance visualizations, comparison tools, and AI-assisted insights to simplify complex information.

AI accelerated our prototyping process, allowing us to quickly test ideas and refine the experience while keeping strategy and design thinking at the centre.

OUTCOME:
The result is an interactive proof of concept that brings player analytics, scouting insights, and data visualization into one cohesive platform.

MoneyBol demonstrates how Contender Studio combines sports expertise, strategic design, and emerging technology to create innovative digital experiences for the future of sport.

AI accelerates the process. Design gives it purpose.

Explore MoneyBol: https://contenderstudio.github.io/Moneybol/

CLIENT: CONTENDER STUDIO | Internal R&D

COLLABORATORS:
Jason Jay & Olivia Weiss

SCOPE OF PROJECT:
Product Strategy,
UX/UI Design,
Sports Data Visualization,
AI-Assisted Prototyping


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