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.
Zac Pauga, a fighter with a solid foundation in athleticism and strength, brings a wrestling-heavy approach to the octagon. His background in rugby and football has translated into significant physical advantages. Despite these strengths, Pauga's recent performance, including a loss to Mohammed Usman by KO/TKO, raises concerns about his striking defense, particularly against power strikers.
Pauga's fight history in the UFC includes mixed results. WolfTicketsAI's predictions on his fights have been a hit-and-miss affair. The model correctly predicted his win against Jordan Wright, but incorrectly forecasted his bout against Modestas Bukauskas, where Pauga lost by unanimous decision. This history of mixed prediction outcomes introduces an element of uncertainty in forecasting Pauga's performance, especially given his recent win percentage of 0.33, indicative of a possible decline.
Bogdan Guskov, with a record of 14 wins and 3 losses, has shown a propensity for striking. His recent loss to Volkan Oezdemir by submission exposes potential weaknesses in his ground game. A high rate of head strikes absorbed per minute could be a chink in his armor.
Guskov's UFC history is less documented in terms of prediction data, which introduces a degree of uncertainty regarding the model's ability to accurately forecast his performance. His striking focus, juxtaposed with Pauga's wrestling background, sets the stage for an intriguing stylistic matchup. However, the lack of prediction history for Guskov makes this fight somewhat unpredictable from a modeling standpoint.
This matchup is a classic striker vs. wrestler confrontation. Pauga's wrestling and control on the ground could be crucial, especially if he can exploit Guskov's weaker takedown defense. However, Pauga's recent performance trends and susceptibility to strikes, as evidenced by his KO/TKO loss, present considerable risks.
Guskov should aim to keep the fight standing, leveraging his striking ability. His challenge will be to navigate Pauga's takedown attempts and avoid being controlled on the ground. The absence of substantial prediction data for Guskov and the mixed accuracy of predictions for Pauga add layers of unpredictability to the outcome.
The bout between Zac Pauga and Bogdan Guskov is poised to be a dynamic clash, highlighting Pauga's wrestling against Guskov's striking. While WolfTicketsAI predicts a win for Pauga, the limited prediction history for Guskov and mixed accuracy in Pauga's past fights injects a degree of uncertainty. Pauga's wrestling might be the key if he can neutralize Guskov's stand-up game, but his recent decline and vulnerability to powerful strikes could tilt the scales in Guskov's favor. The fight presents a compelling narrative but with an unpredictable outcome.
Stat | Zac Pauga | Bogdan Guskov | Weight Class Average | |
---|---|---|---|---|
Main Stats | ||||
Age | 35 | 31 | 33 | |
Height | 74" | 75" | 74" | |
Reach | 76" | 76" | 77" | |
Win Percentage | 77.78% | 82.35% | 77.60% | |
Wins | 7 | 15 | ||
Losses | 3 | 3 | ||
Wins at Weight Class | 1 | 0 | ||
Losses at Weight Class | 1 | 1 | ||
Striking Stats | ||||
Striking Accuracy | 65.97% | 37.04% | 54.79% | |
Significant Striking Accuracy | 62.70% | 32.00% | 49.39% | |
Strikes Landed Per Minute | 5.337 | 2.655 | 5.268 | |
Significant Strikes Landed Per Minute | 4.438 | 2.124 | 3.993 | |
Knockdowns per Fight | 0.000 | 0.000 | 0.567 | |
Striking Impact Differential | -28.00% | -26.00% | 3.93% | |
Significant Striking Impact Differential | 20.33% | -18.00% | 5.16% | |
Striking Output Differential | -44.67% | -37.00% | 6.64% | |
Significant Striking Output Differential | 7.33% | -21.00% | 8.10% | |
Striking Defense to Offense Ratio | 77.89% | 280.00% | 75.47% | |
Significant Striking Defense to Offense Ratio | 84.18% | 250.00% | 96.78% | |
Striking Defense Percentage | 57.83% | 43.48% | 49.16% | |
Takedown and Submission Stats | ||||
Submissions per Fight | 0.000 | 0.000 | 0.390 | |
Takedowns per Fight | 0.421 | 0.000 | 1.079 | |
Takedowns Attempted per Fight | 4.635 | 0.000 | 2.766 | |
Takedown Defense | 100.00% | 0.00% | 75.74% | |
Takedown Accuracy | 9.09% | 0.00% | 31.95% | |
Head Stats | ||||
Head Strikes Landed per Minute | 2.247 | 1.858 | 2.528 | |
Head Strikes Attempted per Minute | 4.579 | 6.106 | 6.059 | |
Head Strikes Absorbed per Minute | 1.910 | 5.044 | 2.230 | |
Body Stats | ||||
Body Strikes Landed per Minute | 1.545 | 0.266 | 0.814 | |
Body Strikes Attempted per Minute | 1.798 | 0.266 | 1.105 | |
Body Strikes Absorbed per Minute | 0.674 | 0.266 | 0.682 | |
Leg Stats | ||||
Leg Strikes Landed per Minute | 0.646 | 0.000 | 0.652 | |
Leg kicks Attempted per Minute | 0.702 | 0.266 | 0.779 | |
Leg kicks Absorbed per Minute | 0.140 | 1.593 | 0.579 | |
Clinch Stats | ||||
Clinch Strikes Landed per Minute | 1.292 | 0.000 | 0.534 | |
Clinch Strikes Attempted per Minute | 1.517 | 0.266 | 0.708 | |
Clinch Strikes Absorbed per Minute | 0.478 | 0.266 | 0.479 |
Date | Weight | Elevation | Red Corner | Blue Corner | Winner |
---|---|---|---|---|---|
June 17, 2023 | Light Heavyweight | Zac Pauga | Modestas Bukauskas | Modestas Bukauskas | |
Feb. 18, 2023 | Light Heavyweight | Jordan Wright | Zac Pauga | Zac Pauga | |
Aug. 6, 2022 | Heavyweight | Mohammed Usman | Zac Pauga | Mohammed Usman |
Date | Weight | Elevation | Red Corner | Blue Corner | Winner |
---|---|---|---|---|---|
Sept. 2, 2023 | Light Heavyweight | Volkan Oezdemir | Bogdan Guskov | Volkan Oezdemir |