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: Shauna Bannon
Weight Class: Women's Strawweight
Final Confidence: 2.1
Value: -30.0%
Reason: Base confidence < 10, decreased by 30%
Weight Change: Staying at usual weight
Weight Change: Staying at usual weight
Score: 3
Odds:
Shauna Bannon: -186
Puja Tomar: 144
The Irish striker enters this bout with a 6-1 record but her UFC journey shows a fighter still finding her footing at the elite level. Bannon's kickboxing background was evident in her recent split decision win over Alice Ardelean, where she maintained distance with a crisp jab and inside low kicks. However, her defensive positioning remains problematic - she grabbed the fence multiple times against Ardelean when pressured against the cage, exposing a clear weakness.
Against Bruna Brasil, Bannon's striking-heavy approach initially allowed her to control the distance with technical jabs and leg kicks. But when Brasil baited her into counter exchanges, Bannon overcommitted to power shots that left her vulnerable to takedowns. Once on the ground, her defensive limitations were fully exposed as Brasil secured an arm bar for the submission victory. This tendency to swing aggressively when countering creates dangerous openings that skilled opponents can exploit.
"The Cyclone" made history as the first Indian woman to win in the UFC with her split decision victory over Rayanne dos Santos. Tomar's background in karate, taekwondo, and wushu manifests in an aggressive, volume-heavy striking approach. Against dos Santos, she maintained relentless forward pressure, landing significant strikes while fighting to keep the action standing.
Unlike Bannon's more technical striking, Tomar employs a less refined but high-output attack. Her 6.33 significant strikes landed per minute (compared to Bannon's 4.37) demonstrates her commitment to volume. However, her striking can appear sloppy when rushing forward, and she remains vulnerable to fighters with strong wrestling credentials. When dos Santos managed to take the fight to the ground, Tomar's submission defense and grappling deficiencies were apparent, though her resilience allowed her to survive these positions.
Striking dynamics: Bannon's technical but measured kickboxing contrasts with Tomar's high-volume, aggressive approach. Bannon lands 4.37 significant strikes per minute while Tomar connects at 6.33 - a substantial difference in output.
Defensive vulnerabilities: Bannon's fence-grabbing against Ardelean reveals discomfort when pressed against the cage. Tomar struggled when dos Santos implemented her grappling game but showed enough defensive awareness to avoid submission.
Ground game disparities: Neither fighter shows particular dominance in wrestling, with Bannon attempting 2.0 takedowns per fight but landing none, while Tomar hasn't attempted any takedowns in her UFC appearances.
Reach advantage: Bannon's 6-inch reach advantage (65" vs 59") could prove critical in establishing her jab and maintaining her preferred striking distance.
Decision tendencies: Both fighters' recent wins came via split decision, suggesting neither has shown dominant finishing ability at the UFC level.
WolfTicketsAI's prediction leans heavily on several key factors:
Working against Bannon is her recent win percentage which decreased the prediction score by 2.0 points, likely reflecting her 1-1 UFC record compared to Tomar's 1-0 start.
This marks the first WolfTicketsAI prediction for both fighters, creating some uncertainty in the projection. Without previous prediction data for either Bannon or Tomar, we can't reference past model accuracy for these specific athletes. The model's confidence score of 3 suggests moderate rather than overwhelming confidence in this pick.
Bannon's technical striking, significant reach advantage, and ability to control distance should prove decisive against Tomar's aggressive but less refined approach. While Tomar brings relentless pressure, Bannon's experience and more polished striking fundamentals give her the edge in this matchup. Expect Bannon to use her jab effectively, counter Tomar's forward rushes, and secure a decision victory, just as WolfTicketsAI predicts.
Stat | Shauna Bannon | Puja Tomar | Weight Class Average | |
---|---|---|---|---|
Main Stats | ||||
Age | 31 | 31 | 32 | |
Height | 65" | 64" | 63" | |
Reach | 65" | 59" | 63" | |
Win Percentage | 85.71% | 69.23% | 76.25% | |
Wins | 7 | 9 | ||
Losses | 1 | 5 | ||
Wins at Weight Class | 1 | 1 | ||
Losses at Weight Class | 1 | 0 | ||
Striking Stats | ||||
Striking Accuracy | 57.89% | 48.77% | 48.86% | |
Significant Striking Accuracy | 41.85% | 47.74% | 40.88% | |
Strikes Landed Per Minute | 9.167 | 6.600 | 5.405 | |
Significant Strikes Landed Per Minute | 4.367 | 6.333 | 3.645 | |
Knockdowns per Fight | 0.000 | 0.000 | 0.150 | |
Striking Impact Differential | 61.00% | 13.00% | 2.93% | |
Significant Striking Impact Differential | 9.00% | 11.00% | 0.44% | |
Striking Output Differential | 112.50% | 51.00% | 1.64% | |
Significant Striking Output Differential | 59.00% | 49.00% | -1.43% | |
Striking Defense to Offense Ratio | 35.27% | 66.67% | 86.41% | |
Significant Striking Defense to Offense Ratio | 62.60% | 69.47% | 117.04% | |
Striking Defense Percentage | 42.05% | 44.00% | 48.56% | |
Takedown and Submission Stats | ||||
Submissions per Fight | 0.000 | 0.000 | 0.490 | |
Takedowns per Fight | 0.000 | 0.000 | 1.560 | |
Takedowns Attempted per Fight | 2.000 | 0.000 | 3.717 | |
Takedown Defense | 133.33% | 100.00% | 90.36% | |
Takedown Accuracy | 0.00% | 0.00% | 34.07% | |
Head Stats | ||||
Head Strikes Landed per Minute | 2.200 | 1.933 | 2.269 | |
Head Strikes Attempted per Minute | 6.767 | 7.467 | 6.065 | |
Head Strikes Absorbed per Minute | 2.400 | 3.133 | 2.201 | |
Body Stats | ||||
Body Strikes Landed per Minute | 1.367 | 3.333 | 0.843 | |
Body Strikes Attempted per Minute | 2.467 | 3.933 | 1.224 | |
Body Strikes Absorbed per Minute | 0.800 | 1.933 | 0.831 | |
Leg Stats | ||||
Leg Strikes Landed per Minute | 0.800 | 1.067 | 0.532 | |
Leg kicks Attempted per Minute | 1.200 | 1.867 | 0.684 | |
Leg kicks Absorbed per Minute | 0.567 | 0.533 | 0.558 | |
Clinch Stats | ||||
Clinch Strikes Landed per Minute | 0.233 | 0.067 | 0.488 | |
Clinch Strikes Attempted per Minute | 0.333 | 0.333 | 0.652 | |
Clinch Strikes Absorbed per Minute | 0.500 | 0.333 | 0.503 |
Date | Weight | Elevation | Red Corner | Blue Corner | Winner |
---|---|---|---|---|---|
July 27, 2024 | Women's Strawweight | Shauna Bannon | Alice Ardelean | Shauna Bannon | |
July 22, 2023 | Women's Strawweight | Shauna Bannon | Bruna Brasil | Bruna Brasil |
Date | Weight | Elevation | Red Corner | Blue Corner | Winner |
---|---|---|---|---|---|
June 8, 2024 | Women's Strawweight | Rayanne dos Santos | Puja Tomar | Puja Tomar |