Explained01
All sports
AI in Sports: 20 Real Uses, With Evidence and Limits
A source-led map of how artificial intelligence is used across coaching, analytics, media, officiating and fan experiences.
THE RESEARCH DESK
Sports AI, sorted by usefulness.
Source-led reviews, explainers and case studies. Search the full launch library by sport, tool or concept.
16 articles
Tested02
All sports
How to Evaluate AI Sports Analytics Software: A 60-Minute Audit
A repeatable 60-minute audit for teams, coaches and analysts evaluating AI sports analytics software before a pilot or purchase.
Explained03
All sports
AI Officiating in Sports: What Machines Decide—and What Humans Still Own
A cross-sport guide to AI-assisted officiating in football, basketball and tennis, with current evidence, decision boundaries and limits.
The Brief04
Basketball
The Brief #002: The NBA Tests a Smart Ball—Without Letting It Make Calls
The NBA’s October 2026 smart-ball test separates connected-ball research from real officiating authority. Here is what changed—and what remains unproven.
In Practice05
Football
AI Officiating in Football: What Semi-Automated Offside Actually Decides
How semi-automated offside combines tracking, kick-point detection and human review—and the limits leagues and fans should know.
Tested06
All sports
AI Tools for Sports Content Creators: The Workflow-First Guide
Choose AI sports content tools by workflow, rights, control and output quality—not by feature count.
Explained07
All sports
How AI Sports Highlight Generators Work—and Where They Fail
From event detection to vertical crops: a clear explanation of automated sports highlights and their common failure modes.
Tested08
Coaching
AI Video Analysis for Coaches: A Practical Buying Framework
A practical framework for evaluating AI video analysis tools for coaches, analysts and smaller clubs.
In Practice09
Football
AI in Football: Scouting, Tracking, Tactics, Officiating and Media
How AI is used in football in 2026, from official match data and analyst reports to tracking, officiating and media workflows.
In Practice10
Formula 1
How Formula 1 Uses AI Before, During and After a Race
A practical look at machine learning, simulation and fan-facing AI across a Formula 1 race weekend.
In Practice11
Basketball
AI in Basketball Analytics: What Teams Can Actually Measure
How basketball AI moves beyond the box score using tracking, win probability and contextual impact models.
In Practice12
Tennis
AI in Tennis: Line Calling, Match Analysis and Fan Experiences
How tennis uses automation and AI for officiating support, analysis and personalized digital experiences.
In Practice13
Cricket
AI in Cricket: Analytics, Highlights and Fan Decision Support
A source-led guide to AI in cricket, from vertical highlights and fan assistants to analysis and broadcast workflows.
Explained14
All sports
Computer Vision in Sports, Explained Without the Jargon
A plain-language guide to detection, tracking, pose estimation and event recognition in sport.
Explained15
All sports
How to Spot AI-Generated Sports Misinformation
A practical verification checklist for fake transfers, fabricated quotes, altered clips and synthetic sports accounts.
The Brief16
All sports
The Brief #001: The Sports AI Signal Worth Following
A concise weekly briefing on material developments in sports AI, without recycled announcements.