MMA Analytics
Master Data-Driven MMA Analysis
Mixed martial arts analytics from striking efficiency to grappling metrics and fight prediction
48
Tutorials0
Examples5
Datasets22
MetricsLearning Paths
Part I: Foundations of MMA Analytics
6 TopicsFoundational concepts in MMA analytics covering history, data infrastructure, and basic statistics
Part II: Striking Analytics Deep Dive
7 TopicsAdvanced striking analytics covering head strikes, body/leg work, power vs volume, range management, combinations, defense, and finishing ability
Part III: Grappling and Wrestling Analytics
7 TopicsComprehensive analysis of grappling including takedowns, defense, control time, ground-and-pound, positions, reversals, and wrestling vs BJJ styles
Part IV: Submission Analytics
6 TopicsComprehensive analysis of submission grappling including chokes, joint locks, defense strategies, and submission specialists
Part V: Fighter Evaluation and Styles
6 TopicsMethods for evaluating fighter archetypes, skill profiles, finishing ability, pressure fighting, counter-striking, and well-rounded capabilities
Part VI: Weight Classes and Divisions
6 TopicsAnalysis of UFC weight classes from heavyweight to lower weight classes with division-specific analytics
Conditioning and Weight
3 TopicsCardio metrics and weight cutting analysis
Career Analytics
4 TopicsFighter longevity and career patterns
Quick Start Guide
Learn Basics
Start with fundamental statisticsAdvanced Metrics
Explore sport-specific analyticsPractice with Data
Use real datasets and examplesApply Knowledge
Build your own analytics projectsRecent Tutorials
Key MMA Metrics
Championship Rounds Win Rate Champ Rd%
Performance in championship rounds. Measures cardio and deep water ability. Variables: Scoring in 4th and 5th rounds when applicable
\text{Champ Rd\%} = \frac{\text{Points in Rounds 4-5}}{\text{Total Possible Points R4-5}} \times 100
Strikes Absorbed Per KO SA/KO
Significant strikes absorbed per knockout loss. Higher = better chin. Variables: Total career sig strikes absorbed divided by KO/TKO losses
\text{SA/KO} = \frac{\text{Total Sig Strikes Absorbed}}{\text{Times Knocked Out}}
Output Efficiency Eff
Ratio of strikes landed to strikes absorbed. Measures trading efficiency. Variables: Can use sig strikes landed vs absorbed, or weighted damage metrics
\text{Eff} = \frac{\text{Damage Dealt}}{\text{Damage Received}}
Finish Rate Fin%
Percentage of wins that are finishes (KO/TKO/Sub). Measures finishing ability. Variables: KO/TKO/Submission wins divided by all wins
\text{Fin\%} = \frac{\text{Wins by Finish}}{\text{Total Wins}} \times 100
Knockdown Rate KD/15
Knockdowns per 15 minutes. Measures knockout power. Variables: Knockdowns scored normalized to 15 minutes
\text{KD/15} = \frac{\text{Knockdowns}}{\text{Fight Time}} \times 15
KO/TKO Rate KO%
Percentage of wins by knockout or TKO. Measures striking power. Variables: KO and TKO wins divided by total wins
\text{KO\%} = \frac{\text{KO/TKO Wins}}{\text{Total Wins}} \times 100
Submission Rate Sub%
Percentage of wins by submission. Measures grappling finishing ability. Variables: Submission wins divided by total wins
\text{Sub\%} = \frac{\text{Submission Wins}}{\text{Total Wins}} \times 100
Control Time Percentage Ctrl%
Percentage of fight spent in dominant control position. Key for decision wins. Variables: Time in top control or clinch control divided by fight time
\text{Ctrl\%} = \frac{\text{Control Time}}{\text{Total Fight Time}} \times 100
Guard Pass Rate Pass%
Guard passes per minute spent in opponent's guard. Measures top game. Variables: Guard passes divided by time in guard position
\text{Pass\%} = \frac{\text{Guard Passes}}{\text{Time in Guard (min)}}
Submission Attempts Per 15 Minutes Sub/15
Average submission attempts per 15 minutes. Measures ground attack. Variables: All submission attempts normalized to 15 minutes
\text{Sub/15} = \frac{\text{Submission Attempts}}{\text{Fight Time}} \times 15
Datasets & Resources
Ready to Master MMA Analytics?
Start with the basics and work your way up to advanced machine learning applications.