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.
Basic Prediction
This prediction was made before July 20th, 2024 and does not include detailed insights.
Score: 16 Odds: Nora Cornolle: 250 Melissa Dixon: -340
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 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.
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.
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.
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.
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.
These charts show what features drove the model to make its prediction.
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% | 76.07% | |
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% | 47.80% | |
Significant Striking Accuracy | 51.95% | 54.74% | 40.96% | |
Strikes Landed Per Minute | 5.667 | 5.800 | 5.301 | |
Significant Strikes Landed Per Minute | 2.667 | 3.467 | 3.576 | |
Knockdowns per Fight | 0.000 | 0.000 | 0.160 | |
Striking Impact Differential | 10.00% | 27.00% | 0.97% | |
Significant Striking Impact Differential | 22.00% | 4.00% | 1.46% | |
Striking Output Differential | 14.00% | 22.00% | 3.66% | |
Significant Striking Output Differential | 35.00% | -13.00% | 4.06% | |
Striking Defense to Offense Ratio | 52.94% | 75.86% | 69.83% | |
Significant Striking Defense to Offense Ratio | 60.00% | 115.38% | 94.85% | |
Striking Defense Percentage | 57.14% | 55.56% | 44.89% | |
Takedown and Submission Stats | ||||
Submissions per Fight | 0.000 | 0.000 | 0.379 | |
Takedowns per Fight | 0.000 | 0.000 | 0.838 | |
Takedowns Attempted per Fight | 0.000 | 1.000 | 2.501 | |
Takedown Defense | 166.67% | 33.33% | 69.83% | |
Takedown and Submission Stats | ||||
Submissions per Fight | 0.000 | 0.000 | 0.379 | |
Takedowns per Fight | 0.000 | 0.000 | 0.838 | |
Takedowns Attempted per Fight | 0.000 | 1.000 | 2.501 | |
Takedown Defense | 166.67% | 33.33% | 69.83% | |
Body Stats | ||||
Body Strikes Landed per Minute | 1.133 | 0.333 | 0.902 | |
Body Strikes Attempted per Minute | 1.600 | 0.400 | 1.229 | |
Body Strikes Absorbed per Minute | 0.533 | 0.133 | 0.818 | |
Leg Stats | ||||
Leg Strikes Landed per Minute | 0.733 | 0.000 | 0.532 | |
Leg Kicks Attempted per Minute | 1.067 | 0.000 | 0.684 | |
Leg Kicks Absorbed per Minute | 0.267 | 1.533 | 0.615 | |
Clinch Stats | ||||
Clinch Strikes Landed per Minute | 1.533 | 0.067 | 0.628 | |
Clinch Strikes Attempted per Minute | 2.533 | 0.067 | 0.833 | |
Clinch Strikes Absorbed per Minute | 0.267 | 0.133 | 0.496 |
Date | Weight Class | Red Corner | Blue Corner |
---|---|---|---|
Sept. 2, 2023 | Women's Bantamweight | Nora Cornolle | Joselyne Edwards |
Date | Weight Class | Red Corner | Blue Corner |
---|---|---|---|
Oct. 14, 2023 | Women's Bantamweight | Irina Alekseeva | Melissa Mullins |