Ryan Loder vs. Azamat Bekoev - UFC Fight Night: Sandhagen vs. Figueiredo Results & AI Breakdown

Winner: Azamat Bekoev by KO/TKO

Fight Info:
Location: Des Moines, Iowa, USA
Elevation: 291.00m
Weight Class: Middleweight
Wikipedia: https://en.wikipedia.org…

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.

The predictions below are shown in dark grey if they were correct, incorxrect predictions are shown in red.
Predictions
W = WTAI Model O = Profit Model P = Plain Model EV = Expected Value
Fighter
Confidence
EV
Odds
W
O
P
Ryan Loder
10
20
+285
Azamat Bekoev
9
-10.8
-400

Weighted Scoring Report

Weighted Score for WTAI Prediction

Predicted Winner: Azamat Bekoev

Weight Class: Middleweight

Final Confidence: 6.3

Confidence Adjustments

Value: -30.0%

Reason: Base confidence < 10, decreased by 30%

Fighter History & Outcomes

Ryan Loder

Weight Change: Staying at usual weight

Fight History:

  • August 24, 2024: Ryan Loder won against Robert Valentin. The fight ended in round 2 at 1:49. Method of victory: KO/TKO.
Azamat Bekoev

Weight Change: Staying at usual weight

Fight History:

  • January 18, 2025: Azamat Bekoev won against Zachary Reese. The fight ended in round 1 at 3:04. Method of victory: KO/TKO.

Fight Analysis

Analysis: Ryan Loder vs Azamat Bekoev

WolfTicketsAI Predicts Azamat Bekoev to Win

Score: 9
Odds:
Ryan Loder: 285
Azamat Bekoev: -400

Ryan Loder's Breakdown

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.

Azamat Bekoev's Breakdown

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.

Analysis and Key Points

  • Wrestling clash: Both fighters attempt multiple takedowns per fight, but Bekoev has the edge in takedown accuracy (50% vs 33%)
  • Striking volume: Bekoev lands nearly twice as many strikes per minute (16.95 vs 9.24)
  • Defensive vulnerability: Both fighters absorb strikes, but Loder's striking defense (16.7%) is significantly worse than Bekoev's (37%)
  • Experience factor: Bekoev's 22 professional fights vs Loder's 9 gives him a significant edge in cage time
  • Finishing ability: Both have shown KO power in their recent UFC wins

Understanding the Prediction

The model's confidence in Bekoev is driven by several key factors:

  • Significant Striking Impact Differential increased the prediction score by 9 points, reflecting Bekoev's advantage in effective striking
  • Odds actually decreased the prediction score by 18 points, suggesting the model sees value in Loder despite being the underdog
  • Recent Win Percentage boosted Bekoev's chances, with both fighters showing strong recent form
  • TrueSkill rating slightly favors Bekoev

The striking metrics overwhelmingly favor Bekoev, particularly in terms of volume and impact, which are key drivers behind the prediction.

Past Model Performance

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.

Conclusion

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 Breakdown

Stat Ryan Loder Azamat Bekoev
Main Stats
Age 33 29
Height 74" 72"
Reach 76" 72"
Win Percentage 88.89% 86.36%
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%
Significant Striking Accuracy 80.77% 80.77%
Strikes Landed Per Minute 9.242 16.957
Significant Strikes Landed Per Minute 6.161 6.848
Knockdowns per Fight 0.000 0.000
Striking Impact Differential 58.00% 30.00%
Significant Striking Impact Differential 41.00% 8.00%
Striking Output Differential 67.00% 24.00%
Significant Striking Output Differential 50.00% 2.00%
Striking Defense to Offense Ratio 1.59% 25.00%
Significant Striking Defense to Offense Ratio 2.38% 52.38%
Striking Defense Percentage 50.00% 45.83%
Takedown and Submission Stats
Submissions per Fight 2.201 0.000
Takedowns per Fight 2.201 4.891
Takedowns Attempted per Fight 6.602 9.783
Takedown Defense 100.00% 100.00%
Takedown Accuracy 33.33% 50.00%
Head Stats
Head Strikes Landed per Minute 6.015 5.217
Head Strikes Attempted per Minute 7.482 6.196
Head Strikes Absorbed per Minute 0.147 4.239
Body Stats
Body Strikes Landed per Minute 0.147 0.978
Body Strikes Attempted per Minute 0.147 1.304
Body Strikes Absorbed per Minute 0.000 0.000
Leg Stats
Leg Strikes Landed per Minute 0.000 0.652
Leg kicks Attempted per Minute 0.000 0.978
Leg kicks Absorbed per Minute 0.000 0.000
Clinch Stats
Clinch Strikes Landed per Minute 0.000 0.000
Clinch Strikes Attempted per Minute 0.000 0.000
Clinch Strikes Absorbed per Minute 0.000 0.326
Ryan Loder History:
Date Weight Red Corner Blue Corner Winner
Aug. 24, 2024 Middleweight Robert Valentin Ryan Loder Ryan Loder
Azamat Bekoev History:
Date Weight Red Corner Blue Corner Winner
Jan. 18, 2025 Middleweight Zachary Reese Azamat Bekoev Azamat Bekoev