Fight Predictions
Data-driven. No gut feelings.
Every prediction is computed from fighter attributes, physical matchup modeling (reach, height, stance), career statistics, and style clash analysis. We show our work — every number has a source.
These are statistical predictions based on publicly available data, not betting advice. Past performance does not guarantee future results. What you do with this information is your edge.
Upcoming Events
1/1 predicted
Strickland 43%57% Hernandez
Anthony Hernandez— Competitive
Moderate
Method Prediction
30%
KO/TKO
22%
Submission
49%
Decision
Physical Matchup
Record
28-6 vs 12-2+0.2%
Key Factors
Fighter A has a significant striking advantage (+14 pts)
1/1 predicted
Barrios 55%45% Garcia
Mario Barrios— Competitive
Good Data
Method Prediction
37%
KO/TKO
63%
Decision
Physical Matchup
Reach
73" vs 70" (3" diff)+0.9%
Height
5'11" vs 5'10" (1" diff)+0.1%
Record
30-2 vs 25-1+0.1%
1/1 predicted
Shields 87%13% Crews-Dezurn
Claressa Shields— Dominant Favorite
Good Data
Method Prediction
27%
KO/TKO
73%
Decision
Physical Matchup
Height
5'8" vs 5'9" (1" diff)+0.1%
Record
14-0 vs 8-1+0.6%
Key Factors
Fighter A carries significantly more power (+22 pts)
Fighter A's defensive skill is elite (+14 pts)
1/1 predicted
Navarrete 69%31% Nunez
Emanuel Navarrete— Clear Edge
Good Data
Method Prediction
37%
KO/TKO
63%
Decision
Physical Matchup
Reach
72" vs 68" (4" diff)+1.2%
Height
5'8" vs 5'7" (1" diff)+0.1%
Record
38-2 vs 30-2+0.1%
Key Factors
4" reach advantage is significant — controls distance and landing zone
1/1 predicted
Holloway 35%65% Oliveira
Charles Oliveira— Clear Edge
High Confidence
Method Prediction
32%
KO/TKO
36%
Submission
32%
Decision
Physical Matchup
Reach
69" vs 74" (5" diff)+1.5%
Height
5'11" vs 5'10" (1" diff)+0.1%
Record
25-7 vs 34-10+0.0%
Key Factors
5" reach advantage is significant — controls distance and landing zone
Fighter A has a significant striking advantage (+11 pts)
Fighter B controls the grappling exchanges (+17 pts)
Fighter B has a chin vulnerability — increases KO risk
1/1 predicted
Evloev 60%40% Murphy
Movsar Evloev— Clear Edge
Good Data
Method Prediction
26%
KO/TKO
17%
Submission
58%
Decision
Physical Matchup
Reach
71" vs 72" (1" diff)+0.3%
Height
5'7" vs 5'10" (3" diff)+0.5%
Record
18-0 vs 15-0+0.3%
Key Factors
Fighter A controls the grappling exchanges (+18 pts)
1/1 predicted
Adesanya 89%11% Pyfer
Israel Adesanya— Dominant Favorite
High Confidence
Method Prediction
40%
KO/TKO
13%
Submission
47%
Decision
Physical Matchup
Reach
80" vs 75" (5" diff)+1.5%
Height
6'4" vs 6'1" (3" diff)+0.5%
Stance
southpaw vs orthodox+1.5%
Record
24-3 vs 13-3+0.4%
Key Factors
5" reach advantage is significant — controls distance and landing zone
Southpaw stance creates unfamiliar angles — historically a 3% statistical edge
Fighter A has a significant striking advantage (+15 pts)
Fighter A controls the grappling exchanges (+10 pts)
1/1 predicted
Fundora 41%59% Thurman
Keith Thurman— Competitive
High Confidence
Method Prediction
57%
KO/TKO
43%
Decision
Physical Matchup
Reach
80" vs 71" (9" diff)+2.7%
Height
6'6" vs 5'11" (7" diff)+1.1%
Stance
southpaw vs orthodox+1.5%
Record
21-1 vs 30-2+0.0%
Key Factors
9" reach advantage is significant — controls distance and landing zone
Southpaw stance creates unfamiliar angles — historically a 3% statistical edge
1/1 predicted
Fury 89%11% Makhmudov
Tyson Fury— Dominant Favorite
Good Data
Method Prediction
55%
KO/TKO
45%
Decision
Physical Matchup
Reach
85" vs 82" (3" diff)+0.9%
Height
6'9" vs 6'5" (4" diff)+0.6%
Record
34-1 vs 18-1+0.0%
Key Factors
Fighter B carries significantly more power (+10 pts)
Fighter A's defensive skill is elite (+22 pts)
Track Record Coming Soon
Once events are completed, our cumulative accuracy will be tracked publicly.
How Our Predictions Work
Attribute Engine
8 weighted attributes per fighter (striking, grappling, power, chin, etc.) rated 0-100 from career data
Physical Modeling
Reach, height, and stance advantages are statistically significant and modeled explicitly
Style Clash
Striker vs grappler, counter vs pressure — different matchup types change which attributes matter most
Method Prediction
KO/TKO, submission, and decision probabilities derived from career finish rates + matchup dynamics