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: 20 Odds: Eduarda Moura: -170 Denise Gomes: 140
Eduarda Moura is an undefeated prospect with a perfect 10-0 record. In her UFC debut, she scored an impressive KO/TKO victory over Montserrat Conejo Ruiz, showcasing her striking power. Moura lands a high volume of strikes at 14.1 per minute with excellent accuracy of 73.4%. She is particularly effective with head strikes, landing 7.6 per minute while absorbing none in return.
Moura is a well-rounded mixed martial artist with a solid striking base. She possesses a diverse arsenal of strikes, including powerful kicks and sharp boxing combinations. Moura is also a capable grappler, averaging 6.22 takedowns per fight with 100% accuracy and defense. Once on the ground, she maintains control and lands ground strikes. Her overall striking and grappling stats are far superior to Gomes across the board.
Denise Gomes is 8-3 in her MMA career and 2-2 in the UFC. She is coming off a unanimous decision loss to Angela Hill in her last fight. Prior to that, Gomes scored back-to-back KO/TKO wins over Yazmin Jauregui and Bruna Brasil, showing she has finishing power.
Gomes is primarily a striker who relies on her toughness and relentless pressure. She is known for her ability to take punishment and keep moving forward, making her a formidable opponent in grueling battles of attrition. Gomes also has a solid grappling game, which she can utilize to complement her striking.
However, Gomes lands only 7.13 significant strikes per minute while absorbing 4.61 in return, giving her a negative strike differential. Her striking defense is just 29.2%. She does mix in takedowns at 1.58 per fight, but only has 33% accuracy. Gomes will need to leverage her durability, pressure, and power striking to overcome Moura's technical advantages.
The model favors Moura to win this fight based on several key factors:
The consensus among analysts also seems to be that Moura holds a slight edge due to her well-rounded skillset and technical striking. However, Gomes' durability and tenacity cannot be overlooked, as she has the potential to make it a closely contested battle.
This is the first time the model has predicted a fight for Eduarda Moura, so there is no past performance to assess for her.
For Denise Gomes, the model has a mixed track record: - It correctly predicted her loss to Angela Hill with 73% confidence - But it incorrectly predicted her to lose to Yazmin Jauregui with 74% confidence (Gomes won by KO)
So while the model has insights on Gomes's fights, it is not perfect. The limited prediction history adds some risk to the current pick.
WolfTicketsAI predicts Eduarda Moura will defeat Denise Gomes based on her undefeated record, well-rounded skills, superior striking technique and grappling stats. Moura's striking accuracy, defense, and power align with the model's key predictive features and give her clear paths to victory.
However, Gomes's toughness, relentless pressure, and recent KO wins show she can make this a grueling battle and potentially land fight-changing power shots. The all-Brazilian clash promises to be an exciting, closely contested affair with both fighters leaving it all in the Octagon.
While Moura deserves to be favored based on technical advantages, Gomes' grit and power mean she cannot be counted out. The limited UFC sample size for both fighters also leaves some uncertainty around the matchup.
In the end, fans can expect a high-paced, action-packed strawweight fight between two talented and aggressive competitors looking to climb the ranks. Moura is the pick to get her hand raised, but Gomes will not go quietly into the night.
Stat | Eduarda Moura | Denise Gomes | Weight Class Average | |
---|---|---|---|---|
Main Stats | ||||
Age | 30 | 24 | 31 | |
Height | 66" | 62" | 63" | |
Reach | 66" | 63" | 64" | |
Win Percentage | 100.00% | 72.73% | 75.86% | |
Wins | 10 | 9 | ||
Losses | 1 | 3 | ||
Wins at Weight Class | 1 | 2 | ||
Losses at Weight Class | 0 | 2 | ||
Striking Stats | ||||
Striking Accuracy | 73.38% | 63.62% | 50.19% | |
Significant Striking Accuracy | 74.03% | 54.29% | 42.23% | |
Strikes Landed Per Minute | 14.101 | 7.125 | 5.521 | |
Significant Strikes Landed Per Minute | 7.880 | 3.997 | 3.808 | |
Knockdowns per Fight | 0.000 | 0.789 | 0.177 | |
Striking Impact Differential | 93.00% | 11.25% | 1.06% | |
Significant Striking Impact Differential | 52.00% | 3.25% | 0.36% | |
Striking Output Differential | 110.00% | 26.75% | -0.87% | |
Significant Striking Output Differential | 55.00% | 17.50% | -1.93% | |
Striking Defense to Offense Ratio | 19.61% | 34.32% | 91.08% | |
Significant Striking Defense to Offense Ratio | 29.82% | 46.71% | 121.27% | |
Striking Defense Percentage | 77.27% | 33.81% | 49.76% | |
Takedown and Submission Stats | ||||
Submissions per Fight | 0.000 | 1.183 | 0.503 | |
Takedowns per Fight | 6.221 | 1.578 | 1.496 | |
Takedowns Attempted per Fight | 6.221 | 4.733 | 3.524 | |
Takedown Defense | 100.00% | 150.00% | 92.76% | |
Takedown Accuracy | 100.00% | 33.33% | 32.68% | |
Head Stats | ||||
Head Strikes Landed per Minute | 7.604 | 2.288 | 2.339 | |
Head Strikes Attempted per Minute | 10.369 | 5.101 | 6.323 | |
Head Strikes Absorbed per Minute | 0.000 | 1.972 | 2.384 | |
Body Stats | ||||
Body Strikes Landed per Minute | 0.277 | 0.920 | 0.844 | |
Body Strikes Attempted per Minute | 0.277 | 1.157 | 1.249 | |
Body Strikes Absorbed per Minute | 0.000 | 1.420 | 0.847 | |
Leg Stats | ||||
Leg Strikes Landed per Minute | 0.000 | 0.789 | 0.625 | |
Leg kicks Attempted per Minute | 0.000 | 1.104 | 0.795 | |
Leg kicks Absorbed per Minute | 0.691 | 0.263 | 0.561 | |
Clinch Stats | ||||
Clinch Strikes Landed per Minute | 0.138 | 1.131 | 0.541 | |
Clinch Strikes Attempted per Minute | 0.138 | 1.472 | 0.713 | |
Clinch Strikes Absorbed per Minute | 0.000 | 1.236 | 0.549 |
Date | Weight | Elevation | Red Corner | Blue Corner | Winner |
---|---|---|---|---|---|
Nov. 4, 2023 | Women's Strawweight | Eduarda Moura | Montserrat Conejo Ruiz | Eduarda Moura |
Date | Weight | Elevation | Red Corner | Blue Corner | Winner |
---|---|---|---|---|---|
Nov. 4, 2023 | Women's Strawweight | Angela Hill | Denise Gomes | Angela Hill | |
July 8, 2023 | Women's Strawweight | Yazmin Jauregui | Denise Gomes | Denise Gomes | |
April 15, 2023 | Women's Strawweight | Bruna Brasil | Denise Gomes | Denise Gomes | |
Sept. 17, 2022 | Women's Strawweight | Denise Gomes | Loma Lookboonmee | Loma Lookboonmee |