The content below shows how the model reached its conclusion for the prediction. The higher the value of the number, the more confident the model is in the prediction. The confidence scores do not perfectly correlate with accuracy. Use your judgement to see where the model may have missed the mark.
Recent Prediction
This prediction includes detailed insights.
Predicted Winner: Azamat Bekoev
Weight Class: Middleweight
Final Confidence: 6.3
Value: -30.0%
Reason: Base confidence < 10, decreased by 30%
Weight Change: Staying at usual weight
Weight Change: Staying at usual weight
Score: 9
Odds:
Ryan Loder: 285
Azamat Bekoev: -400
Loder brings a wrestling-heavy approach with impressive finishing ability. In his UFC debut against Robert Valentin, he secured a second-round TKO by effectively transitioning from takedowns to ground strikes. His wrestling background shows in his numbers - he attempts 6.6 takedowns per fight with a 33% success rate. What stands out is his striking accuracy (86%) and significant strike accuracy (80%), showing he makes his shots count when he throws.
Loder's head strikes landed per minute (6.01) reveal his preference for targeting the head rather than working the body. Against Valentin, he controlled the pace through pressure and wrestling, wearing his opponent down before finding the finish. His striking defense percentage (16.7%) suggests he's willing to take shots to give them, which could be problematic against a more accurate striker.
The "Man of Steel" has won 8 of his 9 professional fights, with his UFC debut showing his ability to blend wrestling with effective striking. His tendency to push for finishes makes him dangerous, but could leave openings if he gets overly aggressive.
Bekoev enters this fight with a more proven track record, sporting a 19-3 professional record and coming off a KO/TKO victory over Zachary Reese. His fighting style centers on pressure and clinch work, using his orthodox stance to control opponents against the cage. With a striking accuracy of 88% and significant strike accuracy of 80%, he's equally precise with his shots.
What separates Bekoev from Loder is his takedown game - he averages 4.89 takedowns per fight with a 50% success rate, attempting nearly 10 takedowns per fight. Against Reese, he demonstrated his ability to dictate the pace and find openings for the finish. His striking defense (37%) is better than Loder's but still shows vulnerability.
Bekoev's striking output is impressive at 16.95 strikes landed per minute, more than 7 strikes higher than Loder. He mixes his attacks well, incorporating leg kicks (0.65 per minute) and body strikes (0.97 per minute) to keep opponents guessing, unlike Loder who focuses almost exclusively on head hunting.
The model's confidence in Bekoev is driven by several key factors:
The striking metrics overwhelmingly favor Bekoev, particularly in terms of volume and impact, which are key drivers behind the prediction.
This appears to be the first time WolfTicketsAI has predicted either fighter, which adds some uncertainty to the prediction. Without previous prediction data to validate the model's accuracy for these specific fighters, we should consider this prediction with appropriate caution.
Bekoev's superior takedown accuracy, higher striking volume, and more diverse attack should prove too much for Loder. While Loder has shown finishing ability, his defensive vulnerabilities and less diverse striking approach give Bekoev clear paths to victory. Expect Bekoev to mix striking with well-timed takedowns to control the fight and potentially find a finish. WolfTicketsAI confidently picks Azamat Bekoev to get his hand raised.
Stat | Ryan Loder | Azamat Bekoev | Weight Class Average | |
---|---|---|---|---|
Main Stats | ||||
Age | 33 | 29 | 33 | |
Height | 74" | 72" | 73" | |
Reach | 76" | 72" | 75" | |
Win Percentage | 88.89% | 86.36% | 79.17% | |
Wins | 8 | 20 | ||
Losses | 2 | 3 | ||
Wins at Weight Class | 1 | 1 | ||
Losses at Weight Class | 0 | 0 | ||
Striking Stats | ||||
Striking Accuracy | 86.30% | 88.14% | 52.74% | |
Significant Striking Accuracy | 80.77% | 80.77% | 47.01% | |
Strikes Landed Per Minute | 9.242 | 16.957 | 5.338 | |
Significant Strikes Landed Per Minute | 6.161 | 6.848 | 3.882 | |
Knockdowns per Fight | 0.000 | 0.000 | 0.771 | |
Striking Impact Differential | 58.00% | 30.00% | 5.52% | |
Significant Striking Impact Differential | 41.00% | 8.00% | 3.63% | |
Striking Output Differential | 67.00% | 24.00% | 5.15% | |
Significant Striking Output Differential | 50.00% | 2.00% | 3.08% | |
Striking Defense to Offense Ratio | 1.59% | 25.00% | 74.15% | |
Significant Striking Defense to Offense Ratio | 2.38% | 52.38% | 99.13% | |
Striking Defense Percentage | 50.00% | 45.83% | 46.58% | |
Takedown and Submission Stats | ||||
Submissions per Fight | 2.201 | 0.000 | 0.738 | |
Takedowns per Fight | 2.201 | 4.891 | 1.476 | |
Takedowns Attempted per Fight | 6.602 | 9.783 | 3.651 | |
Takedown Defense | 100.00% | 100.00% | 81.74% | |
Takedown Accuracy | 33.33% | 50.00% | 32.09% | |
Head Stats | ||||
Head Strikes Landed per Minute | 6.015 | 5.217 | 2.545 | |
Head Strikes Attempted per Minute | 7.482 | 6.196 | 5.755 | |
Head Strikes Absorbed per Minute | 0.147 | 4.239 | 2.186 | |
Body Stats | ||||
Body Strikes Landed per Minute | 0.147 | 0.978 | 0.799 | |
Body Strikes Attempted per Minute | 0.147 | 1.304 | 1.059 | |
Body Strikes Absorbed per Minute | 0.000 | 0.000 | 0.694 | |
Leg Stats | ||||
Leg Strikes Landed per Minute | 0.000 | 0.652 | 0.538 | |
Leg kicks Attempted per Minute | 0.000 | 0.978 | 0.629 | |
Leg kicks Absorbed per Minute | 0.000 | 0.000 | 0.541 | |
Clinch Stats | ||||
Clinch Strikes Landed per Minute | 0.000 | 0.000 | 0.423 | |
Clinch Strikes Attempted per Minute | 0.000 | 0.000 | 0.563 | |
Clinch Strikes Absorbed per Minute | 0.000 | 0.326 | 0.363 |
Date | Weight | Elevation | Red Corner | Blue Corner | Winner |
---|---|---|---|---|---|
Aug. 24, 2024 | Middleweight | Robert Valentin | Ryan Loder | Ryan Loder |
Date | Weight | Elevation | Red Corner | Blue Corner | Winner |
---|---|---|---|---|---|
Jan. 18, 2025 | Middleweight | Zachary Reese | Azamat Bekoev | Azamat Bekoev |