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: Irina Alekseeva
Weight Class: Women's Bantamweight
Final Confidence: 22.44
Value: +20.0%
Reason: Base confidence between 14 and 21, increased by 20%
Value: +10.0%
Reason: Opponent lost by KO/TKO within last 12 months
Weight Change: Staying at usual weight
Weight Change: Staying at usual weight
Score: 17
Odds:
Irina Alekseeva: -265
Klaudia Sygula: +200
Alekseeva brings a devastating grappling arsenal that has already proven effective against common opponents. Her signature high-amplitude takedowns from body lock position were on full display against Stephanie Egger, where she secured a first-round kneebar submission. Against Melissa Mullins, she showcased her technical evolution by varying her takedown entries - switching from double-legs to body locks when Mullins defended her initial approaches.
Her methodical ground control approach creates sustained pressure that breaks opponents mentally. In Round 2 against Mullins, she maintained mount position for nearly two minutes while delivering measured strikes, demonstrating patience that sets up submission opportunities. When Mullins bridged at 1:32, Alekseeva's balance and positional awareness allowed her to transition smoothly to side control.
The sambo-based throws from clinch positions give her multiple paths to dominant position. Her back-take sequences during scrambles show excellent timing - particularly when opponents try to stand from bottom position. The armbar finish against Mullins at 3:15 in Round 3 highlighted her ability to integrate strikes with submission setups, controlling posture with her legs while extending the arm.
Alekseeva's limited defensive head movement creates openings during striking exchanges. Against Mullins, she absorbed clean shots while closing distance, relying on forward pressure rather than defensive movement. Her high guard provides some protection, but she tends to walk through strikes when initiating clinch entries.
Her overcommitment to single takedown attempts becomes problematic when opponents defend effectively. She occasionally fixates on completing specific takedowns rather than chaining entries or disengaging to reset, leading to energy expenditure without positional gain.
The telegraphed level changes present counter opportunities for opponents. Her head position drops noticeably before shooting, creating windows for knees or uppercuts during transitions. This predictability could be exploited by fighters with strong timing and counter-striking ability.
Sygula's clinch-focused approach centers around headlock throws against the fence and back control transitions. Her comfort in fence work allows her to use the cage as a tool for initiating grappling exchanges. When she establishes position, her headlock throws can change fight dynamics quickly.
Her back control transitions show technical awareness during scrambles, actively hunting for dominant position when opponents are compromised. The turtle position defense suggests a grappling-based defensive system, though this approach has shown limitations in her recent performance.
Sygula operates from a balanced stance that facilitates clinch entries, preferring fence work over open-space exchanges. Her takedown attempts per fight (7.1) indicate an aggressive pursuit of grappling exchanges, though her 0% takedown accuracy reveals execution issues.
Sygula's sluggish early round performance creates immediate problems. Against Mullins, this hesitancy allowed her opponent to establish momentum and control. The characteristic "warm-up period" leaves her vulnerable to early pressure and aggressive opponents who can capitalize on her slow starts.
Her defensive reactions to takedowns consistently expose her back. When Mullins pressured her against the fence, Sygula turned away to create space rather than maintaining defensive posture. This technical flaw directly led to Mullins taking her back and advancing to mount position.
Mount defense represents her most glaring weakness. The TKO loss to Mullins highlighted inadequate defensive framing and hip escapes from bottom mount. She absorbed ground strikes without creating space or recovering guard, relying on survival rather than technical escapes. Her 5.68 head strikes absorbed per minute reflects these defensive deficiencies.
Alekseeva's body lock takedowns directly exploit Sygula's tendency to turn away when pressured against the fence. While Sygula attempts headlock throws, Alekseeva's superior clinch positioning and takedown accuracy (20% vs 0%) suggests she'll control these exchanges.
Sygula's slow starts play directly into Alekseeva's aggressive early pressure. Where Mullins needed time to establish control, Alekseeva typically secures takedowns within the first two minutes. Sygula's hesitancy in early rounds creates perfect conditions for Alekseeva's forward-pressure gameplan.
The ground game heavily favors Alekseeva. Sygula's mount defense vulnerabilities align perfectly with Alekseeva's preference for establishing dominant position and working methodically toward submissions. Alekseeva's 0.87 submissions per fight against Sygula's demonstrated inability to escape from bottom mount creates a clear path to victory.
Early rounds favor Alekseeva significantly due to Sygula's documented slow starts. Alekseeva's immediate pressure and takedown attempts will likely overwhelm Sygula before she can establish her rhythm. The body lock entries that worked against Mullins should prove even more effective against Sygula's defensive reactions.
Mid-fight adjustments become irrelevant if Alekseeva secures early dominant position. Her methodical approach to ground control prevents the scrambles that might allow Sygula to reset. If the fight remains standing, Alekseeva's superior striking accuracy (45.88% vs 37.5%) gives her additional advantages.
Championship rounds are unlikely given both fighters' finishing rates and Sygula's defensive vulnerabilities from bottom position.
• Grappling Mismatch: Alekseeva's 0.87 takedowns per fight vs Sygula's 0% takedown accuracy • Common Opponent Analysis: Both fought Mullins - Alekseeva dominated and submitted her, while Sygula was TKO'd • Defensive Gaps: Sygula's mount defense deficiencies align with Alekseeva's submission strengths • Early Pressure: Sygula's slow starts create perfect conditions for Alekseeva's aggressive approach • Statistical Dominance: Alekseeva holds advantages in significant striking differential (+2.5 vs -26.0)
The model's confidence stems primarily from the odds differential, which increased the prediction score by 14 points. Alekseeva's significant striking impact differential advantage added 7 points, reflecting her superior output and defensive capabilities. Her recent significant striking impact differential contributed another 2 points, showing consistent performance trends.
The striking impact differential and average striking output differential each added 1 point, while her striking defense percentage provided additional confidence. These metrics collectively paint a picture of technical superiority across multiple dimensions.
This represents the first prediction for both fighters in the WolfTicketsAI system, creating some uncertainty in model reliability. However, the comprehensive statistical advantages and technical matchup analysis provide strong foundational confidence in the prediction.
Alekseeva's grappling dominance, combined with Sygula's documented defensive vulnerabilities and slow starts, creates a clear path to victory. The common opponent analysis reinforces this assessment - where Sygula was finished by Mullins, Alekseeva dominated the same opponent. WolfTicketsAI's prediction of Alekseeva by submission or TKO appears well-founded based on the technical and statistical evidence.
Stat | Irina Alekseeva | Klaudia Sygula | Weight Class Average | |
---|---|---|---|---|
Main Stats | ||||
Age | 34 | 26 | 33 | |
Height | 68" | 68" | 67" | |
Reach | 67" | 69" | 68" | |
Win Percentage | 71.43% | 75.00% | 76.75% | |
Wins | 5 | 7 | ||
Losses | 3 | 2 | ||
Wins at Weight Class | 1 | 0 | ||
Losses at Weight Class | 1 | 1 | ||
Striking Stats | ||||
Striking Accuracy | 45.88% | 52.38% | 49.09% | |
Significant Striking Accuracy | 43.42% | 37.50% | 42.03% | |
Strikes Landed Per Minute | 4.539 | 3.474 | 5.562 | |
Significant Strikes Landed Per Minute | 3.841 | 1.895 | 3.677 | |
Knockdowns per Fight | 0.873 | 0.000 | 0.210 | |
Striking Impact Differential | -9.00% | -32.00% | 10.18% | |
Significant Striking Impact Differential | 2.50% | -26.00% | 7.18% | |
Striking Output Differential | -1.00% | -43.00% | 12.07% | |
Significant Striking Output Differential | 16.50% | -28.00% | 8.69% | |
Striking Defense to Offense Ratio | 97.44% | 140.91% | 65.82% | |
Significant Striking Defense to Offense Ratio | 87.88% | 183.33% | 87.48% | |
Striking Defense Percentage | 48.74% | 36.67% | 45.70% | |
Takedown and Submission Stats | ||||
Submissions per Fight | 0.873 | 0.000 | 0.314 | |
Takedowns per Fight | 0.873 | 0.000 | 0.956 | |
Takedowns Attempted per Fight | 4.365 | 7.105 | 2.768 | |
Takedown Defense | 100.00% | 200.00% | 73.43% | |
Takedown Accuracy | 20.00% | 0.00% | 25.55% | |
Head Stats | ||||
Head Strikes Landed per Minute | 1.746 | 0.790 | 2.095 | |
Head Strikes Attempted per Minute | 5.994 | 3.632 | 5.472 | |
Head Strikes Absorbed per Minute | 2.910 | 5.684 | 1.818 | |
Body Stats | ||||
Body Strikes Landed per Minute | 0.524 | 0.158 | 0.886 | |
Body Strikes Attempted per Minute | 0.873 | 0.316 | 1.226 | |
Body Strikes Absorbed per Minute | 0.291 | 0.158 | 0.690 | |
Leg Stats | ||||
Leg Strikes Landed per Minute | 1.571 | 0.947 | 0.696 | |
Leg kicks Attempted per Minute | 1.979 | 1.105 | 0.867 | |
Leg kicks Absorbed per Minute | 0.349 | 0.158 | 0.555 | |
Clinch Stats | ||||
Clinch Strikes Landed per Minute | 0.175 | 0.000 | 0.583 | |
Clinch Strikes Attempted per Minute | 0.291 | 0.000 | 0.801 | |
Clinch Strikes Absorbed per Minute | 0.058 | 0.000 | 0.415 |
Date | Weight | Elevation | Red Corner | Blue Corner | Winner |
---|---|---|---|---|---|
Oct. 14, 2023 | Women's Bantamweight | Irina Alekseeva | Melissa Mullins | Melissa Mullins | |
April 29, 2023 | Women's Bantamweight | Stephanie Egger | Irina Alekseeva | Irina Alekseeva |
Date | Weight | Elevation | Red Corner | Blue Corner | Winner |
---|---|---|---|---|---|
Nov. 9, 2024 | Women's Bantamweight | Melissa Mullins | Klaudia Sygula | Melissa Mullins |