Combat Sports Data
Strike counts, takedown accuracy, and fight metrics for MMA and boxing -- the data that powers fight prediction AI.
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What Is Combat Sports Data?
Combat Sports Data encompasses real-time metrics extracted from MMA and boxing events, including strike counts, takedown accuracy, and fight performance analytics. This data powers fight prediction AI, sportsbook operations, and broadcaster analytics. Combat IQ pioneered computer vision technology to automatically extract fight data in real time from video streams, addressing a significant gap in the sports analytics landscape. While traditional combat sports scouting relied on manual stat tracking, modern combat sports data providers use machine learning and computer vision to deliver highly accurate, reliable metrics that were previously unavailable at scale.
Market Data
USD 1.5B (2025) → USD 3.2B (2033)
MMA Market Growth
Source: Future Data Stats
12%
MMA Market CAGR
Source: Future Data Stats
USD 9.70B
Broader Combat Sports Products Market (2023)
Source: TechSci Research
6.39% (2024-2029)
Combat Sports Products CAGR
Source: TechSci Research
Who Uses This Data
What AI models do with it.do with it.
Broadcasters & Media Rights
Combat sports broadcasters integrate real-time fight metrics into live coverage and commentary, enhancing viewer engagement with strike counts, accuracy percentages, and performance analytics.
Sportsbooks & Betting Operators
Odds makers and sportsbook platforms use combat sports data to generate fight predictions, set betting lines, and detect arbitrage opportunities in MMA and boxing markets.
Fight Prediction AI & Analytics Platforms
Machine learning models train on historical strike data, takedown metrics, and fighter performance patterns to forecast fight outcomes and identify competitive matchups.
Pricing depends on the proposed terms
We do not have a verified, comparable price for your dataset. Consider the permitted uses, license term, exclusivity, provenance, coverage and quality. A seller asking price is a proposal, not an appraisal or guaranteed sale. Compare prices only when the source, date, currency, unit and license scope are known.
What Buyers Expect
What makes it valuable.valuable.
Real-Time Accuracy
Combat sports data must be extracted with high precision during live events, capturing strike counts, takedown attempts, and accuracy metrics without significant latency.
Comprehensive Fight Coverage
Data providers should cover major MMA leagues and boxing promotions, offering consistent metrics across different competition formats and rule sets.
Historical Data Reliability
Fight prediction AI requires extensive historical datasets with verified metrics from past events, enabling models to identify patterns and fighter performance trends.
Computer Vision Automation
Buyers expect automated data extraction from video feeds rather than manual scouting, reducing operational costs and improving consistency across events.
Potential applications and organizations
Who's buying.buying.
Supplies real-time combat sports data extracted via computer vision to broadcasters and sportsbooks; first company to introduce automated data extraction from fight video streams
Integrate real-time fight metrics into live coverage, commentary, and post-event analysis to enhance viewer engagement
Use combat sports data for odds generation, fight prediction, and risk management in MMA and boxing betting markets
FAQ
Common questions.questions.
Why is combat sports data historically under-developed compared to other sports?
Despite three MMA leagues being among the top 20 most valuable sports properties globally, only one had publicly accessible fight data. Combat sports analytics lagged because most tracking relied on manual scouting rather than automated systems, making large-scale data collection expensive and inconsistent.
What makes computer vision technology different for combat sports data?
Combat IQ pioneered the use of computer vision to automatically extract fight metrics in real time from video streams. This approach surpasses traditional machine learning companies and manual scout tracking by capturing strike counts, accuracy, and movement patterns directly from fight footage without human intervention.
How fast is the combat sports data market growing?
The MMA market is growing at 12% CAGR, projected to reach USD 3.2 billion by 2033 from USD 1.5 billion in 2025. The broader combat sports products market grows at 6.39% CAGR, reaching USD 13.94 billion by 2029.
What industries depend on combat sports data?
Broadcasters use it for live coverage analytics, sportsbooks rely on it for odds generation and fight prediction AI, and betting platforms use it for risk management and competitive analysis.
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