Height | Reach | Age | Stance |
?? | ?? | ?? | ?? |
Opponent | Result | Method | Date |
---|---|---|---|
Predicted Odds (no vig) | ||
Fair Odds |
Upcoming Fights | |||||
---|---|---|---|---|---|
Fighter | Opponent | Predicted Fighter Odds |
Predicted Opponent Odds |
Average Bookie Odds |
Fight Prediction History | |||||
---|---|---|---|---|---|
Fighter | Opponent | Predicted Fighter Odds |
Predicted Opponent Odds |
Correctly Predicted? |
Average Bookie Odds |
The following statistics were compiled based on the model's performance since April 23, 2022
Accuracy
The machine learning model implemented on this page will analyze all known fighter stats (scraped from ufcstats.com) and predict the most likely outcome if they were to fight exactly as they were on the specified dates. Details on how these models were constructed can be found here on our Github. Accuracy of predicting the correct winner is 63%. All photos are scraped from Google image search acted on by a convolutional neural network (CNN) for artistic style transfer (8,964 photos total). Bookie odds are scraped from here.