Overview
40+ machine learning models. Thousands of UFC fights. One system built to win.
VerdiktAI uses layered prediction logic—model groups trained, stacked, and validated across the entire history of the UFC. Every model is purpose-built, tested over thousands of outcomes, and structured to target specific betting categories with measurable accuracy.
Under the hood, the system processes over 300 metrics per fighter, per round, per fight—tracking striking tempo, grappling efficiency, momentum shifts, round scoring probability, and more. It doesn’t rely on surface stats. It models the sport from the ground up.
Whether a bet is placed or not, VerdiktAI delivers value: clean, no-nonsense visualizations, matchup-specific analytics, and red-flag trend detection that gives users a strategic edge.
No bias. No guesswork. Just a high-signal system built for serious bettors.
Features
- Accurate UFC predictions across all major bet types for every event
- Ensemble machine learning trained on full UFC history
- 300+ metrics tracked per fighter, per round, per fight
- Smart parlay generator launching soon
- Full prediction archive with historical accuracy tracking
- Constant model updates with new fight data
- Planned expansion into boxing, wrestling, and Power Slap
Use cases
- Find high-value UFC bets using model-generated predictions
- Compare AI confidence vs sportsbook odds before placing wagers
- Get method of victory insights to bet KO, SUB, or DEC props
- Identify sharp plays for over/under round totals
- Validate your own picks against model-backed outcomes
- Track fighter trends and finishing history visually
- Make smarter parlays using prediction-based leg filtering
- Build betting slips with data, not gut feelings
- Use graphs to spot overrated or underrated fighters pre-fight
- Access fast fight-night breakdowns when time is short
Comments
Makers
Comments
Hey everyone! I’m Carson—an aspiring software engineer and lifelong UFC fan. Verdikt started as a fun side project to sharpen my machine learning skills and make watching fights more profitable. What began as a resume booster quickly turned into my full-time obsession once the models started hitting wild parlays and making real money—for me and a few friends. After 6 months and 1500+ hours of building solo, Verdikt now runs 40+ custom ML models on 35M+ UFC data points to deliver eerily accurate fight predictions. It’s my main portfolio project, and now I’m opening it up as a real platform. I know it’s niche as hell, but I’d genuinely love any thoughts or feedback—especially from fellow builders. Thanks!
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Hey everyone! I’m Carson—an aspiring software engineer and lifelong UFC fan. Verdikt started as a fun side project to sharpen my machine learning skills and make watching fights more profitable. What began as a resume booster quickly turned into my full-time obsession once the models started hitting wild parlays and making real money—for me and a few friends. After 6 months and 1500+ hours of building solo, Verdikt now runs 40+ custom ML models on 35M+ UFC data points to deliver eerily accurate fight predictions. It’s my main portfolio project, and now I’m opening it up as a real platform. I know it’s niche as hell, but I’d genuinely love any thoughts or feedback—especially from fellow builders. Thanks!