Nora Cornolle vs. Melissa Mullins

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.

Fighter
WTAI
Profit
Plain
Odds When Predicted

Weighted Scoring Report

Analysis: Nora Cornolle vs Melissa Dixon

WolfTicketsAI Predicts Melissa Dixon to Win

Score: 16 Odds: Nora Cornolle: 250 Melissa Dixon: -340

Nora Cornolle's Breakdown

Nora Cornolle is coming off a unanimous decision victory over Joselyne Edwards in her UFC debut. She displayed good striking in that fight, landing 5.67 significant strikes per minute with 63.43% accuracy, outpacing Edwards by 14 strikes per minute on average. Her striking defense was not as strong, absorbing 3.75 strikes per minute.

Cornolle's striking tends to focus more on the body and clinch compared to the head. Against Edwards, she landed 1.13 body strikes and 1.53 clinch strikes per minute. Her leg kicks were also effective, landing 0.73 per minute. Defensively, Cornolle's head strike avoidance needs improvement, as she absorbed 0.4 head strikes per minute against Edwards.

With a 7-1 overall record and coming off a win in her UFC debut, Cornolle has momentum. However, with only one UFC fight, the sample size is limited to fully assess how her skills will translate against top competition.

Melissa Dixon's Breakdown

Melissa Dixon is undefeated at 6-0 and won her UFC debut by unanimous decision over Irina Alekseeva. Her striking output was very high in that fight, landing 5.8 significant strikes per minute with 58.78% accuracy. She landed an impressive 3.13 head strikes per minute.

Defensively, Dixon absorbed 1.53 head strikes per minute herself, so there are still holes in her striking defense. She was also hit with 1.53 leg kicks per minute by Alekseeva. Dixon did not attempt many leg kicks or body strikes herself, preferring to headhunt.

While showcasing strong offensive boxing, Dixon was taken down once by Alekseeva. Her takedown defense was only 33% in that fight. If fights hit the mat, it remains to be seen how Dixon will fare there.

Still, Dixon's undefeated record and high-volume striking make her a dangerous opponent for anyone at 135 lbs. She has finished 4 of her 6 wins by TKO.

Analysis and Key Points

This matchup pits two promising prospects both coming off decision wins in their UFC debuts. On paper, Dixon appears to have the striking edge with her high-output boxing focused on landing to the head. She lands 3.47 significant strikes per minute compared to 2.67 for Cornolle.

However, Cornolle is the more diverse striker, mixing in more leg kicks and body shots along with clinch strikes. Her striking accuracy of 63% is also better than Dixon's 58%.

Defensively, both absorb a fair amount of strikes, especially to the head. Dixon was also susceptible to leg kicks in her last fight. With fairly even striking defense stats, this could come down to who can maintain a higher pace and land more impactful shots.

The grappling could be an x-factor, as Dixon was taken down in her debut. Neither fighter has shown much offensive wrestling or a submission game in the UFC yet though.

Dixon's undefeated record and finishing instincts give her an edge, but Cornolle's all-around game makes this competitive. Expect an action-packed striking battle likely to go the distance.

Understanding the Prediction

The model leaned heavily towards Dixon based on her undefeated record and strike impact differentials. This is reflected in the betting odds strongly favoring Dixon at -340 (about 77% implied odds).

Some key predictive features: - The odds decreased the model's score for Cornolle by 15 points, by far the biggest factor - Dixon's superior significant striking impact differential increased her score by 2 points - Her overall striking and impact differentials each added another point

However, a few factors did slightly favor Cornolle: - Her striking defense of 37.5% was better than Dixon's 52.4%, decreasing Dixon's score by 1 point
- Her significant strike defense was also better at 57.1% vs 55.6%

So while the defensive stats lean Cornolle's way, Dixon's offensive impact and the oddsmakers' confidence in her carried much more predictive weight.

Past Model Performance

This is the first prediction the WolfTicketsAI model has made for either fighter, as both have only one UFC fight. So there is no track record to compare the model's past performance for them.

With such limited data on their UFC careers, it needs to be emphasized that this prediction carries more uncertainty than for established fighters with longer histories for the model to analyze. Even though Dixon is a sizable favorite, Cornolle could still certainly win.

Conclusion

Melissa Dixon's undefeated record and dynamite boxing make her a deserving favorite over Nora Cornolle. She has more UFC-level striking experience and looks to carry that advantage to victory.

However, Cornolle's all-around skills, diverse striking, and slight defensive edge give her upset potential in an appealing striker vs striker clash. No matter who wins, this shapes up as an entertaining scrap between two bantamweight prospects with bright futures.

Dixon's powerful punches will likely find their mark more often and lead her to a second UFC win. However, it would not be surprising at all to see Cornolle use her crafty striking and potential grappling to get her hand raised instead. This one is well worth tuning in for between two rising women's bantamweight contenders.

Prediction Explainability Charts

These charts show what features drove the model to make its prediction.

WTAI Chart:

 The explainability chart of the WTAI model, generated as a SHAP forces chart

Profit Chart:

 The explainability chart of the Profit model, generated as a SHAP forces chart

Plain Chart:

 The explainability chart of the Plain model, generated as a SHAP forces chart

Stat Breakdown

All stat values are derived via a proprietary process and may differ from officially published and shared UFC values. Anything labeled "Recent" denotes a weighted moving average of the fighter's most recent 4 fights.

The "Weight Class Average" values are composed of the averages from each fighter in the weight class who has been active in the last 2 years.

Stat Nora Cornolle Melissa Mullins Weight Class Average
Main Stats
Age 34 32 33
Height 67" 67" 67"
Reach 67" 68" 67"
Win Percentage 87.50% 100.00% 75.53%
Career Stats
Wins 8 6
Losses 1 1
Wins at Weight Class 1 1
Losses at Weight Class 0 0
Striking Stats
Striking Accuracy 63.43% 58.78% 48.52%
Significant Striking Accuracy 51.95% 54.74% 41.60%
Strikes Landed Per Minute 5.667 5.800 5.347
Significant Strikes Landed Per Minute 2.667 3.467 3.614
Knockdowns per Fight 0.000 0.000 0.165
Striking Impact Differential 10.00% 27.00% 0.50%
Significant Striking Impact Differential 22.00% 4.00% 1.37%
Striking Output Differential 14.00% 22.00% 2.17%
Significant Striking Output Differential 35.00% -13.00% 3.11%
Striking Defense to Offense Ratio 52.94% 75.86% 71.18%
Significant Striking Defense to Offense Ratio 60.00% 115.38% 96.59%
Striking Defense Percentage 57.14% 55.56% 45.55%
Takedown and Submission Stats
Submissions per Fight 0.000 0.000 0.391
Takedowns per Fight 0.000 0.000 0.818
Takedowns Attempted per Fight 0.000 1.000 2.501
Takedown Defense 166.67% 33.33% 68.94%
Takedown and Submission Stats
Submissions per Fight 0.000 0.000 0.391
Takedowns per Fight 0.000 0.000 0.818
Takedowns Attempted per Fight 0.000 1.000 2.501
Takedown Defense 166.67% 33.33% 68.94%
Body Stats
Body Strikes Landed per Minute 1.133 0.333 0.917
Body Strikes Attempted per Minute 1.600 0.400 1.247
Body Strikes Absorbed per Minute 0.533 0.133 0.839
Leg Stats
Leg Strikes Landed per Minute 0.733 0.000 0.535
Leg Kicks Attempted per Minute 1.067 0.000 0.688
Leg Kicks Absorbed per Minute 0.267 1.533 0.594
Clinch Stats
Clinch Strikes Landed per Minute 1.533 0.067 0.645
Clinch Strikes Attempted per Minute 2.533 0.067 0.856
Clinch Strikes Absorbed per Minute 0.267 0.133 0.510
Fighter Histories
Nora Cornolle History:
Date Weight Class Red Corner Blue Corner
Sept. 2, 2023 Women's Bantamweight Nora Cornolle Joselyne Edwards
Melissa Mullins History:
Date Weight Class Red Corner Blue Corner
Oct. 14, 2023 Women's Bantamweight Irina Alekseeva Melissa Mullins