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.
This radar chart shows each fighter's strengths across key fighting dimensions. Each dimension is scored 0-100 based on their percentile ranking within the Featherweight weight class.
Recent Prediction
This prediction includes detailed insights.
Predicted Winner: Jose Delgado
Weight Class: Featherweight
Final Confidence: 6.3
Value: -30.0%
Reason: Base confidence < 10, decreased by 30%
Weight Change: Staying at usual weight
Weight Change: Staying at usual weight
Score: 9
Odds:
Nathaniel Wood: +124
Jose Delgado: -160
Wood brings a technical counter-striking system built around twitchy, reactive positioning and feint-to-counter sequences. His signature move—chambering kicks to draw reactions then firing counter straights—produced a knockdown against Morgan Charriere in round one. That fight showed his peek-a-boo guard and tight slip-and-counter game at its best, landing clean shots when opponents engage in his preferred pocket range.
But Wood's recent record tells a concerning story: he's 2-1 in his last three, with the loss to Muhammad Naimov exposing how fouls and cage work can neutralize his game. Against Charriere, Wood's early knockdown couldn't translate to a finish, and by round three his movement had visibly slowed from accumulated body kicks. Against Daniel Pineda, Wood controlled distance with low calf kicks that progressively destroyed Pineda's mobility, earning a decision through superior technical striking.
Wood's evolved his game since moving to featherweight. Against Charles Jourdain, he showcased a small outer reap (koto gari) takedown repeatedly, setting it up with close-range elbows and uppercuts in the collar tie. His pull counter from chest-to-chest range—stepping back into a longer stance and countering hooks with a fast right hand—caught Jourdain multiple times. Against Andre Fili, Wood landed an outside slip to right hand counter that caused a knockdown in round one, though Fili hurt him in round two with knees from a double collar tie.
His front kick to the body has become a consistent weapon, and his galloping jab (back foot coming underneath before pushing off) creates unexpected distance coverage. Against Charles Rosa, these tools combined with calf kicks that forced Rosa to change stances multiple times and eventually modify his technique for standing up from the ground.
Body Attack Susceptibility and Cardio Decline: Against Charriere, ball-of-the-foot body kicks visibly compromised Wood's explosive capabilities by round three. His twitchy, reactive stance requires high-level conditioning to maintain effectiveness, and when his energy systems became taxed, his defensive reads slowed considerably. The body kicks directly correlated with his movement deceleration—his slips came slower, counters had less snap, and his stance appeared heavier. This pattern suggests opponents who systematically attack the body from range can tax Wood's gas tank without entering his counter-striking threat zone.
Limited Offensive Urgency Outside Counter Windows: Wood's fundamental problem manifests when initial counters don't produce finishes. Against Charriere, after the round one knockdown, Wood continued the same feint-and-counter pattern without developing alternative offensive strategies. He didn't chain combinations, pursue sustained pressure, or adjust range to create new angles. This left rounds two and three comparatively inactive from Wood's side. Against Casey Kenney, Wood's aggressive forward pressure left him open to counterattacks, and Kenney's footwork and movement limited Wood's effectiveness across three rounds.
Over-Reliance on Read-and-React Defense: Wood's entire defensive structure depends on reading opponent intentions and reacting appropriately. Against John Dodson, this system failed catastrophically—Dodson's quickness and knockout power caught Wood with strikes in round three, stopping him at the 0:16 mark. Wood shows no proactive head movement, sophisticated footwork to create angles, or cage positioning to limit opponent options. When his reads are late or incorrect, he has no secondary safety mechanism.
Delgado enters the UFC with a 10-1 record and devastating finishing power—8.8 knockdowns per fight tells you everything about his approach. In his UFC debut against Connor Matthews, Delgado's constant stance-switching created positional chaos, landing an overhand right knockdown midway through round one. His system relies on being the sole variable, forcing opponents into reactive mode while he knows what he's throwing.
Against Hyder Amil, Delgado showcased his most dangerous sequence: body jab to draw hands down, rear straight to the head, left hook (which missed) flowing directly into a collar tie, then a knee up the centerline that produced a knockout at 26 seconds. His height advantage (74-inch reach versus Wood's 69) allows him to generate effective knee strikes from closer ranges than typical fighters, as his length permits necessary hip extension without requiring separation distance.
Delgado's striking entries demonstrate sophisticated understanding of angle creation through body targeting. The body jab serves dual purposes—drawing defensive attention downward while creating postural responses that open high-line targets. His seamless conversion of missed strikes into clinch entries shows high fight IQ. Against Matthews, when the left hook missed, Delgado maintained forward momentum and converted the circular arm path directly into collar tie control rather than resetting.
His 100% takedown defense (limited sample size) and 0.0 takedowns per fight indicate he's purely a striker, but his clinch striking—0.59 clinch strikes landed per minute with 0.0 absorbed—suggests he controls these exchanges when they occur.
Predictable Response to Counter Stance-Switching: Against Matthews, who also switched stances aggressively, Delgado's decision-making window compressed dramatically. When both fighters switch stances, the technical chess match becomes a blitz game—neither has adequate time to identify which stance dynamic exists and execute appropriate techniques. This manifested as moments of hesitation and reduced offensive output. Delgado's system relies on being the sole variable; when opponents introduce their own positional chaos, his offensive rhythm disrupts. Wood's own stance-switching and twitchy movement could create similar problems.
Limited Extended Combination Work: The constant stance transitions prevent Delgado from building extended combination sequences. His offense tends toward single power shots or brief two-punch combinations before resetting into another stance change. Against Matthews, the knockdown came from a single overhand right rather than accumulated damage. This creates predictability—while opponents may not know which stance Delgado will occupy, they can anticipate abbreviated combinations. Defensively sound opponents with strong guards can adopt a shell-and-wait approach.
Reduced Technical Variety and Head-Hunting Focus: Delgado shows minimal evidence of systematic leg kicks, body punches beyond setups, or level changes. His offense is primarily head-hunting oriented. Against Matthews, there was limited body work or low kicks. This one-dimensional targeting makes him predictable for counter-strikers like Wood who excel at reading intentions. The 0.29 leg kicks landed per minute and 2.35 body strikes landed per minute confirm he's hunting the head primarily, which plays directly into Wood's counter-striking wheelhouse if Wood can survive the early exchanges.
This matchup presents a fascinating technical collision: Delgado's stance-switching chaos versus Wood's read-and-react counter system.
Delgado's Advantages Exploiting Wood's Gaps: Delgado's body jab to head straight sequence directly targets Wood's demonstrated vulnerability to body attacks. The Charriere fight showed how body kicks compromised Wood's explosive capabilities—Delgado's body jab could create similar cardio taxation while setting up his power overhand right. Delgado's 5-inch reach advantage (74 vs 69) allows him to operate at ranges where Wood's counter game becomes less effective. Wood's counters require opponents to enter his threat zone; Delgado can maintain distance and force Wood into offensive initiatives where he's less comfortable.
The height and reach differential also makes Delgado's clinch knee strikes particularly dangerous. Wood showed vulnerability to knees from the double collar tie against Fili in round two. Delgado's ability to generate knee strikes from closer ranges due to his length means Wood has less time to recognize and defend the range shift. If Delgado lands his body-to-head-to-clinch sequence, Wood's defensive system—which relies on reading intentions—may not process the transition quickly enough.
Wood's Advantages Exploiting Delgado's Gaps: Wood's counter-striking system could capitalize on Delgado's abbreviated combinations and head-hunting focus. Delgado throws single power shots or brief two-punch combinations before resetting—exactly the type of readable intentions Wood's feint-and-counter game punishes. Against Fili and Jourdain, Wood's outside slip to right hand counter and pull counter from close range repeatedly caught opponents throwing predictable hooks. Delgado's overhand right, while powerful, telegraphs more than jabs or straights, giving Wood the visual cues his reactive system needs.
Wood's low calf kicks—which destroyed Pineda's mobility and forced Rosa to change stances repeatedly—target Delgado's minimal leg kick defense (0.88 leg kicks absorbed per minute suggests limited experience defending them). Delgado's constant stance-switching could actually make him more vulnerable to calf kicks, as weight distribution shifts during transitions create opportunities for Wood to land clean on the planted leg.
The Critical Question: Can Wood survive the early exchanges when Delgado is fresh and hunting the knockout? Delgado's 8.8 knockdowns per fight and both UFC finishes coming in round one (26 seconds vs Amil, knockdown leading to decision vs Matthews) show he's most dangerous early. Wood's tendency to engage immediately—even accepting clinch exchanges in the opening seconds—could play directly into Delgado's strength.
Early Rounds (0-5 minutes): Delgado's most dangerous phase. His knockout of Amil at 26 seconds and knockdown of Matthews midway through round one establish his early finishing threat. Wood's willingness to engage immediately in the pocket—demonstrated against Charriere and throughout his recent fights—creates risk here. If Delgado lands his body-to-head-to-clinch sequence early, Wood may not survive. However, Wood's early knockdown of Charriere shows he can also capitalize on opponents who engage in his preferred range. The first two minutes will likely determine the fight's trajectory.
Mid-Fight Adjustments (5-10 minutes): If Wood survives the early onslaught, his technical advantages begin manifesting. Delgado's limited UFC experience (two fights, both ending in round one) means we haven't seen how he performs when the finish doesn't come early. Wood's systematic calf kicks and body work—which accumulated damage against Pineda and Rosa—could start compromising Delgado's stance-switching effectiveness. Wood's ability to transition between striking and his small outer reap takedown (used repeatedly against Jourdain) could disrupt Delgado's rhythm. This phase favors Wood if he's avoided significant damage early.
Championship Rounds (10-15 minutes): Wood's cardio concerns against Charriere raise questions about his late-fight effectiveness, but Delgado's complete lack of UFC fights extending beyond round one makes his cardio a total unknown. Wood's experience in decisions (wins over Matthews, Pineda, Fili, Jourdain, Rosa) versus Delgado's zero UFC fights reaching round two creates a significant experience gap. If the fight reaches round three, Wood's familiarity with late-fight technical execution likely gives him the advantage, assuming his cardio holds up better than it did against Charriere.
Size and Reach Matter: Delgado's 5-inch reach advantage and height allow him to operate at ranges where Wood's counter game becomes less effective. Wood typically relies on opponents entering his threat zone; Delgado can force Wood into offensive initiatives.
Early Finish Threat: Delgado's 8.8 knockdowns per fight and both UFC finishes in round one make him extremely dangerous early. Wood's tendency to engage immediately creates risk, though his early knockdown of Charriere shows he can also capitalize.
Body Attack Vulnerability: Wood's demonstrated susceptibility to body attacks (Charriere's body kicks compromised his cardio by round three) plays directly into Delgado's body jab setup for power shots. This could be the key technical exploitation.
Experience Gap: Wood's 13 UFC fights versus Delgado's 2 creates a significant octagon experience differential. Wood has faced adversity, made adjustments, and won decisions. Delgado's fights have ended in round one—we don't know how he responds when the finish doesn't come.
Stance-Switching Chaos: Both fighters employ stance changes, but for different reasons. Wood switches to set up techniques; Delgado switches to create positional chaos. This mutual switching could create the scrappy, difficult-to-score affair seen in Delgado vs Matthews.
Clinch Danger Zone: Delgado's height advantage makes his clinch knees particularly dangerous. Wood showed vulnerability to knees from Fili's double collar tie. If Delgado establishes collar tie control, Wood's in serious trouble.
The model's confidence in Delgado (score of 9) stems from several statistical advantages that significantly shifted the prediction:
Recent Win Percentage increased the score by 3.0 - Delgado's 67% recent win rate (2-1 in last three, counting pre-UFC) versus Wood's identical 67% (2-1 in last three) appears neutral, but the model weighs Delgado's finishing rate heavily.
Odds decreased the score by 3.0 - Delgado's -160 odds versus Wood's +124 reflects betting market confidence in the newcomer, though the model's prediction actually goes against this somewhat by only giving a score of 9.
Striking Defense Percentage decreased the score by 3.0 - Wood's 49.97% striking defense versus Delgado's 66.67% shows Wood absorbs more strikes, validating concerns about his read-and-react system's reliability.
TrueSkill decreased the score by 2.0 - Wood's established TrueSkill (Mu: 32.97, Sigma: 3.38) versus Delgado's default (Mu: 25.0, Sigma: 8.33) actually favors Wood, but the high sigma indicates uncertainty about Delgado's true level.
Reach decreased the score by 2.0 - Delgado's 5-inch reach advantage creates tangible tactical benefits for his striking game.
Recent Takedowns Attempted per Fight increased the score by 2.0 - Wood's 3.56 recent takedown attempts versus Delgado's 1.62 suggests Wood may try to grapple, but Delgado's 100% takedown defense (limited sample) could neutralize this.
The model sees Delgado's physical advantages (reach, height), superior striking defense, and devastating finishing power outweighing Wood's experience and technical versatility.
WolfTicketsAI's history with these fighters reveals important context:
Nathaniel Wood (6 predictions, 3-3 record): - Correctly predicted Wood over Pineda (0.78 confidence) and Rosa (0.78 confidence) - both decision wins where Wood's technical striking controlled the pace - Correctly predicted Wood over Fili (0.65 confidence) - decision win despite Wood being hurt in round two - Incorrectly predicted Wood over Charriere (0.55 confidence for Charriere, but Wood won) - the model doubted Wood and was wrong - Incorrectly predicted Wood over Naimov (0.67 confidence) - Wood lost by decision in a controversial fight with multiple fouls - Incorrectly predicted Jourdain over Wood (0.74 confidence for Jourdain) - Wood won by decision with his improved clinch game
The model's 50% accuracy on Wood suggests difficulty predicting his performances, particularly when he faces adversity or controversial circumstances. The model has been most accurate when predicting Wood in favorable matchups (Pineda, Rosa, Fili) and least accurate when predicting against him (Charriere, Jourdain).
Jose Delgado (1 prediction, 0-1 record): - Incorrectly predicted Amil over Delgado (0.52 confidence for Amil) - Delgado won by knockout at 26 seconds
The model doubted Delgado in his UFC debut and was proven wrong immediately. This suggests the model may undervalue Delgado's finishing power or struggle to assess fighters with limited UFC data.
Given this history, the model's confidence in Delgado (score of 9) is notable—it's learned from underestimating him before. However, the model's inconsistency with Wood (50% accuracy) introduces uncertainty. The model has been wrong about both fighters recently, making this prediction less reliable than the confidence score suggests.
Delgado wins this fight if he can land his body-to-head-to-clinch sequence in the first five minutes. His 8.8 knockdowns per fight, 5-inch reach advantage, and devastating early finishing rate make him the most dangerous fighter Wood has faced in terms of pure knockout threat. Wood's demonstrated vulnerability to body attacks and his tendency to engage immediately in the pocket play directly into Delgado's strengths.
Wood's path to victory requires surviving the early storm, systematically attacking Delgado's legs with calf kicks, and dragging the fight into rounds two and three where his experience and technical versatility can manifest. But the model sees Delgado's physical advantages, superior striking defense (66.67% vs 49.97%), and finishing power as too significant to overcome.
WolfTicketsAI predicts Jose Delgado by knockout in round one, capitalizing on Wood's body attack vulnerability and early engagement tendencies before Wood's technical advantages can accumulate.
| Stat | Nathaniel Wood | Jose Delgado | Weight Class Average | |
|---|---|---|---|---|
| Main Stats | ||||
| Age | 32 | 27 | 32 | |
| Height | 66" | 71" | 69" | |
| Reach | 69" | 74" | 71" | |
| Win Percentage | 77.78% | 90.91% | 80.25% | |
| Wins | 22 | 10 | ||
| Losses | 6 | 2 | ||
| Wins at Weight Class | 5 | 2 | ||
| Losses at Weight Class | 1 | 0 | ||
| Striking Stats | ||||
| Striking Accuracy | 57.43% | 58.49% | 49.40% | |
| Significant Striking Accuracy | 51.99% | 58.82% | 43.89% | |
| Strikes Landed Per Minute | 7.290 | 9.118 | 5.148 | |
| Significant Strikes Landed Per Minute | 5.660 | 8.824 | 3.707 | |
| Knockdowns per Fight | 0.376 | 8.824 | 0.485 | |
| Striking Impact Differential | 27.58% | 9.50% | 2.94% | |
| Significant Striking Impact Differential | 23.58% | 10.50% | 1.94% | |
| Striking Output Differential | 30.17% | 8.50% | 2.08% | |
| Significant Striking Output Differential | 26.42% | 11.50% | 0.90% | |
| Striking Defense to Offense Ratio | 71.45% | 77.42% | 88.96% | |
| Significant Striking Defense to Offense Ratio | 88.59% | 63.33% | 109.37% | |
| Striking Defense Percentage | 56.34% | 67.86% | 48.90% | |
| Takedown and Submission Stats | ||||
| Submissions per Fight | 0.564 | 0.000 | 0.687 | |
| Takedowns per Fight | 1.410 | 0.000 | 1.457 | |
| Takedowns Attempted per Fight | 2.915 | 4.412 | 3.767 | |
| Takedown Defense | 38.71% | 100.00% | 74.45% | |
| Takedown Accuracy | 48.39% | 0.00% | 33.94% | |
| Head Stats | ||||
| Head Strikes Landed per Minute | 3.097 | 6.177 | 2.354 | |
| Head Strikes Attempted per Minute | 7.466 | 11.177 | 5.920 | |
| Head Strikes Absorbed per Minute | 2.376 | 1.765 | 2.387 | |
| Body Stats | ||||
| Body Strikes Landed per Minute | 0.646 | 2.353 | 0.764 | |
| Body Strikes Attempted per Minute | 1.084 | 2.647 | 1.108 | |
| Body Strikes Absorbed per Minute | 0.809 | 0.000 | 0.699 | |
| Leg Stats | ||||
| Leg Strikes Landed per Minute | 1.918 | 0.294 | 0.589 | |
| Leg kicks Attempted per Minute | 2.338 | 1.177 | 0.741 | |
| Leg kicks Absorbed per Minute | 0.702 | 0.882 | 0.563 | |
| Clinch Stats | ||||
| Clinch Strikes Landed per Minute | 0.320 | 0.588 | 0.364 | |
| Clinch Strikes Attempted per Minute | 0.433 | 0.882 | 0.499 | |
| Clinch Strikes Absorbed per Minute | 0.439 | 0.000 | 0.339 | |
| Date | Weight | Elevation | Red Corner | Blue Corner | Winner |
|---|---|---|---|---|---|
| March 22, 2025 | Featherweight | Nathaniel Wood | Morgan Charriere | Nathaniel Wood | |
| July 27, 2024 | Featherweight | Nathaniel Wood | Daniel Pineda | Nathaniel Wood | |
| Oct. 21, 2023 | Featherweight | Nathaniel Wood | Muhammad Naimov | Muhammad Naimov | |
| July 22, 2023 | Featherweight | Nathaniel Wood | Andre Fili | Nathaniel Wood | |
| Sept. 3, 2022 | Featherweight | Charles Jourdain | Nathaniel Wood | Nathaniel Wood | |
| July 23, 2022 | Featherweight | Nathaniel Wood | Charles Rosa | Nathaniel Wood | |
| Oct. 24, 2020 | Catch Weight | Nathaniel Wood | Casey Kenney | Casey Kenney | |
| July 25, 2020 | Bantamweight | Nathaniel Wood | John Castaneda | Nathaniel Wood | |
| Feb. 15, 2020 | Bantamweight | John Dodson | Nathaniel Wood | John Dodson | |
| March 16, 2019 | Bantamweight | Nathaniel Wood | Jose Quinonez | Nathaniel Wood | |
| Dec. 29, 2018 | Bantamweight | Nathaniel Wood | Andre Ewell | Nathaniel Wood | |
| June 1, 2018 | Bantamweight | Johnny Eduardo | Nathaniel Wood | Nathaniel Wood |
| Date | Weight | Elevation | Red Corner | Blue Corner | Winner |
|---|---|---|---|---|---|
| June 28, 2025 | Featherweight | Hyder Amil | Jose Delgado | Jose Delgado | |
| Feb. 15, 2025 | Featherweight | Connor Matthews | Jose Delgado | Jose Delgado |