Irina Alekseeva vs. Klaudia Sygula - UFC Fight Night: Hill vs. Rountree Jr. Results & AI Breakdown

Winner: Klaudia Sygula by Decision - Unanimous

Fight Info:
Location: Baku, Azerbaijan
Elevation: 0.00m
Weight Class: Women's Bantamweight
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
Irina Alekseeva
17
17
21
4.6
-265
Klaudia Sygula
+200

Weighted Scoring Report

Weighted Score for WTAI Prediction

Predicted Winner: Irina Alekseeva

Weight Class: Women's Bantamweight

Final Confidence: 22.44

Confidence Adjustments

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

Fighter History & Outcomes

Irina Alekseeva

Weight Change: Staying at usual weight

Fight History:

  • October 14, 2023: Irina Alekseeva lost against Melissa Mullins. The fight ended in round 3 at 5:00. It was a unanimous decision. Additional details: 27 - 30. 28 - 29. 28 - 29.
  • April 29, 2023: Irina Alekseeva won against Stephanie Egger. The fight ended in round 1 at 2:11. Method of victory: Submission.
Klaudia Sygula

Weight Change: Staying at usual weight

Fight History:

  • November 9, 2024: Klaudia Sygula lost against Melissa Mullins. The fight ended in round 2 at 1:20. Method of victory: KO/TKO.

Fight Analysis

Analysis: Irina Alekseeva vs Klaudia Sygula

WolfTicketsAI Predicts Irina Alekseeva to Win

Score: 17
Odds:
Irina Alekseeva: -265
Klaudia Sygula: +200

Irina Alekseeva's Breakdown

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.

Irina Alekseeva's Technical Vulnerabilities

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.

Klaudia Sygula's Breakdown

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.

Klaudia Sygula's Technical Vulnerabilities

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.

Style Matchup Dynamics

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.

Fight Phase Analysis

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.

Analysis and Key Points

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)

Understanding the Prediction

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.

Past Model Performance

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.

Conclusion

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 Breakdown

Stat Irina Alekseeva Klaudia Sygula
Main Stats
Age 34 26
Height 68" 68"
Reach 67" 69"
Win Percentage 71.43% 75.00%
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%
Significant Striking Accuracy 43.42% 37.50%
Strikes Landed Per Minute 4.539 3.474
Significant Strikes Landed Per Minute 3.841 1.895
Knockdowns per Fight 0.873 0.000
Striking Impact Differential -9.00% -32.00%
Significant Striking Impact Differential 2.50% -26.00%
Striking Output Differential -1.00% -43.00%
Significant Striking Output Differential 16.50% -28.00%
Striking Defense to Offense Ratio 97.44% 140.91%
Significant Striking Defense to Offense Ratio 87.88% 183.33%
Striking Defense Percentage 48.74% 36.67%
Takedown and Submission Stats
Submissions per Fight 0.873 0.000
Takedowns per Fight 0.873 0.000
Takedowns Attempted per Fight 4.365 7.105
Takedown Defense 100.00% 200.00%
Takedown Accuracy 20.00% 0.00%
Head Stats
Head Strikes Landed per Minute 1.746 0.790
Head Strikes Attempted per Minute 5.994 3.632
Head Strikes Absorbed per Minute 2.910 5.684
Body Stats
Body Strikes Landed per Minute 0.524 0.158
Body Strikes Attempted per Minute 0.873 0.316
Body Strikes Absorbed per Minute 0.291 0.158
Leg Stats
Leg Strikes Landed per Minute 1.571 0.947
Leg kicks Attempted per Minute 1.979 1.105
Leg kicks Absorbed per Minute 0.349 0.158
Clinch Stats
Clinch Strikes Landed per Minute 0.175 0.000
Clinch Strikes Attempted per Minute 0.291 0.000
Clinch Strikes Absorbed per Minute 0.058 0.000
Irina Alekseeva History:
Date Weight 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
Klaudia Sygula History:
Date Weight Red Corner Blue Corner Winner
Nov. 9, 2024 Women's Bantamweight Melissa Mullins Klaudia Sygula Melissa Mullins