Stat Leaders
See who leads every division. Rank UFC fighters by CCR and TSR, striking, grappling, and control—with every metric measured against their weight class peers.
Ciryl Gane
Heavyweight
232.9
CCR
Paddy Pimblett
Lightweight
216.5
CCR
Justin Gaethje
Lightweight
188.8
CCR
Gabriel Bonfim
Welterweight
183.7
CCR
Umar Nurmagomedov
Bantamweight
181.8
CCR
Islam Makhachev
Welterweight
181.6
CCR
Mario Bautista
Bantamweight
179.8
CCR
Manel Kape
Flyweight
175.0
CCR
Michael Morales
Welterweight
173.5
CCR
Joshua Van
Flyweight
173.0
CCR
Sean Strickland
Middleweight
172.3
CCR
Alexander Volkov
Heavyweight
171.1
CCR
Valentina Shevchenko
Women's Flyweight
170.1
CCR
Jon Jones
Heavyweight
163.1
CCR
Yaroslav Amosov
Welterweight
163.1
CCR
Arman Tsarukyan
Lightweight
162.7
CCR
Charles Oliveira
Lightweight
162.3
CCR
Nathaniel Wood
Featherweight
162.1
CCR
Josh Hokit
Heavyweight
162.0
CCR
Carlos Ulberg
Light Heavyweight
157.8
CCR
Francis Ngannou
Heavyweight
156.7
CCR
Movsar Evloev
Featherweight
156.4
CCR
Manon Fiorot
Women's Flyweight
154.8
CCR
Petr Yan
Bantamweight
154.1
CCR
Waldo Cortes Acosta
Heavyweight
153.6
CCR
Khamzat Chimaev
Middleweight
153.4
CCR
Carlos Prates
Welterweight
153.0
CCR
Tom Nolan
Lightweight
153.0
CCR
Diego Lopes
Featherweight
152.2
CCR
Natalia Silva
Women's Flyweight
149.5
CCR
Rafa Garcia
Lightweight
149.3
CCR
Quillan Salkilld
Lightweight
149.1
CCR
Shavkat Rakhmonov
Welterweight
148.2
CCR
Joselyne Edwards
Women's Bantamweight
147.4
CCR
Kayla Harrison
Women's Bantamweight
146.8
CCR
Ilia Topuria
Lightweight
146.0
CCR
Merab Dvalishvili
Bantamweight
145.9
CCR
Brendan Allen
Middleweight
145.0
CCR
Erin Blanchfield
Women's Flyweight
144.9
CCR
Farid Basharat
Bantamweight
144.0
CCR
Zhang Weili
Women's Flyweight
143.7
CCR
Renato Moicano
Lightweight
142.8
CCR
Christian Leroy Duncan
Middleweight
142.5
CCR
Pat Sabatini
Featherweight
142.2
CCR
Mateusz Gamrot
Lightweight
142.2
CCR
Alexander Volkanovski
Featherweight
141.7
CCR
Ian Machado Garry
Welterweight
141.7
CCR
Robert Whittaker
Light Heavyweight
141.5
CCR
Mackenzie Dern
Women's Strawweight
141.3
CCR
Max Holloway
Welterweight
141.1
CCR
| Rank | Fighter | Weight class | CCR | Percentile | Percentile per weight class | SLpM | TD / min |
|---|---|---|---|---|---|---|---|
| 1 | Ciryl Gane | Heavyweight | 232.9 | 100.0% | 100.0% | 5.7 | 0.0 |
| 2 | Paddy Pimblett | Lightweight | 216.5 | 99.9% | 100.0% | 5.5 | 0.0 |
| 3 | Justin Gaethje | Lightweight | 188.8 | 99.8% | 99.3% | 5.6 | 0.0 |
| 4 | Gabriel Bonfim | Welterweight | 183.7 | 99.7% | 100.0% | 4.7 | 0.2 |
| 5 | Umar Nurmagomedov | Bantamweight | 181.8 | 99.6% | 100.0% | 3.9 | 0.2 |
| 6 | Islam Makhachev | Welterweight | 181.6 | 99.6% | 99.3% | 2.8 | 0.2 |
| 7 | Mario Bautista | Bantamweight | 179.8 | 99.5% | 99.3% | 5.5 | 0.2 |
| 8 | Manel Kape | Flyweight | 175.0 | 99.4% | 100.0% | 5.0 | 0.0 |
| 9 | Michael Morales | Welterweight | 173.5 | 99.3% | 98.6% | 6.2 | 0.0 |
| 10 | Joshua Van | Flyweight | 173.0 | 99.2% | 98.6% | 8.4 | 0.1 |
| 11 | Sean Strickland | Middleweight | 172.3 | 99.1% | 100.0% | 6.5 | 0.0 |
| 12 | Alexander Volkov | Heavyweight | 171.1 | 99.0% | 98.7% | 4.8 | 0.0 |
| 13 | Valentina Shevchenko | Women's Flyweight | 170.1 | 98.9% | 100.0% | 3.1 | 0.2 |
| 14 | Jon Jones | Heavyweight | 163.1 | 98.8% | 97.4% | 6.1 | 0.2 |
| 15 | Yaroslav Amosov | Welterweight | 163.1 | 98.7% | 97.8% | 2.6 | 0.7 |
| 16 | Arman Tsarukyan | Lightweight | 162.7 | 98.7% | 98.6% | 4.2 | 0.2 |
| 17 | Charles Oliveira | Lightweight | 162.3 | 98.6% | 97.9% | 3.2 | 0.1 |
| 18 | Nathaniel Wood | Featherweight | 162.1 | 98.5% | 100.0% | 5.3 | 0.1 |
| 19 | Josh Hokit | Heavyweight | 162.0 | 98.4% | 96.1% | 10.3 | 0.1 |
| 20 | Carlos Ulberg | Light Heavyweight | 157.8 | 98.3% | 100.0% | 5.4 | 0.0 |
| 21 | Francis Ngannou | Heavyweight | 156.7 | 98.2% | 94.7% | 1.7 | 0.2 |
| 22 | Movsar Evloev | Featherweight | 156.4 | 98.1% | 99.3% | 3.5 | 0.4 |
| 23 | Manon Fiorot | Women's Flyweight | 154.8 | 98.0% | 98.2% | 5.3 | 0.1 |
| 24 | Petr Yan | Bantamweight | 154.1 | 97.9% | 98.7% | 4.6 | 0.1 |
| 25 | Waldo Cortes Acosta | Heavyweight | 153.6 | 97.8% | 93.4% | 5.2 | 0.0 |
| 26 | Khamzat Chimaev | Middleweight | 153.4 | 97.8% | 99.1% | 3.5 | 0.4 |
| 27 | Carlos Prates | Welterweight | 153.0 | 97.7% | 97.1% | 4.4 | 0.0 |
| 28 | Tom Nolan | Lightweight | 153.0 | 97.6% | 97.2% | 4.7 | 0.1 |
| 29 | Diego Lopes | Featherweight | 152.2 | 97.5% | 98.6% | 3.9 | 0.1 |
| 30 | Natalia Silva | Women's Flyweight | 149.5 | 97.4% | 96.5% | 4.8 | 0.0 |
| 31 | Rafa Garcia | Lightweight | 149.3 | 97.3% | 96.6% | 4.4 | 0.2 |
| 32 | Quillan Salkilld | Lightweight | 149.1 | 97.2% | 95.9% | 4.8 | 0.4 |
| 33 | Shavkat Rakhmonov | Welterweight | 148.2 | 97.1% | 96.4% | 3.3 | 0.1 |
| 34 | Joselyne Edwards | Women's Bantamweight | 147.4 | 97.0% | 100.0% | 4.7 | 0.1 |
| 35 | Kayla Harrison | Women's Bantamweight | 146.8 | 97.0% | 98.0% | 4.3 | 0.2 |
| 36 | Ilia Topuria | Lightweight | 146.0 | 96.9% | 95.2% | 5.4 | 0.1 |
| 37 | Merab Dvalishvili | Bantamweight | 145.9 | 96.8% | 98.0% | 4.7 | 0.3 |
| 38 | Brendan Allen | Middleweight | 145.0 | 96.7% | 98.3% | 3.8 | 0.1 |
| 39 | Erin Blanchfield | Women's Flyweight | 144.9 | 96.6% | 94.7% | 5.2 | 0.1 |
| 40 | Farid Basharat | Bantamweight | 144.0 | 96.5% | 97.3% | 3.9 | 0.2 |
| 41 | Zhang Weili | Women's Flyweight | 143.7 | 96.4% | 93.0% | 3.9 | 0.2 |
| 42 | Renato Moicano | Lightweight | 142.8 | 96.3% | 94.5% | 3.1 | 0.1 |
| 43 | Christian Leroy Duncan | Middleweight | 142.5 | 96.2% | 97.4% | 4.4 | 0.0 |
| 44 | Pat Sabatini | Featherweight | 142.2 | 96.1% | 97.9% | 1.7 | 0.3 |
| 45 | Mateusz Gamrot | Lightweight | 142.2 | 96.1% | 93.8% | 3.0 | 0.4 |
| 46 | Alexander Volkanovski | Featherweight | 141.7 | 96.0% | 97.2% | 6.0 | 0.1 |
| 47 | Ian Machado Garry | Welterweight | 141.7 | 95.9% | 95.7% | 4.8 | 0.1 |
| 48 | Robert Whittaker | Light Heavyweight | 141.5 | 95.8% | 98.7% | 3.8 | 0.1 |
| 49 | Mackenzie Dern | Women's Strawweight | 141.3 | 95.7% | 100.0% | 3.4 | 0.1 |
| 50 | Max Holloway | Welterweight | 141.1 | 95.6% | 95.0% | 6.2 | 0.0 |
Showing 1–50 of 1115 · Page 1 of 23
Analytics guide
CCR
What it calculates
Current Competitiveness Rating (CCR): a composite score—like an Elo rating in chess—that evaluates advanced striking, grappling, pace, and opponent-quality stats into one number.
Why it matters
Weights recent performance much more heavily than older fights and incorporates factors like age. Use it to see who is fighting at an elite level right now.
TSR
What it calculates
True Skill Rating (TSR): the same composite approach applied across a fighter’s full UFC body of work, like an Elo rating built from advanced stats.
Why it matters
Does not overweight recency or adjust for age—it is a pure career evaluative metric. Helpful for separating sustained elite careers from short hot streaks.
SLpM
What it calculates
Total Significant Strikes Landed ÷ Total Fight Time (minutes)
Why it matters
Captures offensive pace and sustained scoring output — high SLpM forces opponents to fight at your tempo.
SApM
What it calculates
Total Significant Strikes Absorbed ÷ Total Fight Time (minutes)
Why it matters
Shows defensive efficiency and risk exposure — low SApM usually means better defense, distance management, and fewer damaging exchanges.
KD/M
What it calculates
Total Knockdowns ÷ Total Fight Time (minutes)
Why it matters
Measures a fighter’s ability to create high-impact, fight-changing moments that swing rounds or lead to finishes.
TD/M
What it calculates
Total Takedowns Landed ÷ Total Fight Time (minutes)
Why it matters
Signals wrestling pace and phase control — fighters who can reliably force grappling exchanges can neutralize dangerous strikers.
CTRL
What it calculates
Total Control Time ÷ Total Fight Time (minutes)
Why it matters
Quantifies positional dominance and round-winning leverage — control time often correlates with judges’ scoring and opponent suppression.
SUB/M
What it calculates
Total Submission Attempts ÷ Total Fight Time (minutes)
Why it matters
Reflects finishing threat on the mat — frequent submission attacks force defensive reactions that open up control and damage.
Rev
What it calculates
Total Reversals ÷ Total Fight Time (minutes)
Why it matters
Highlights scrambling and escape ability — reversals turn bad positions into scoring opportunities and can flip momentum.
C/15
What it calculates
(Total Control Time ÷ Total Fight Time) × 15 minutes
Why it matters
Standardizes grappling control to a 15-minute baseline so fighters with different bout lengths can be compared fairly.
TOP/15
What it calculates
(Total Top Control Time ÷ Total Fight Time) × 15 minutes
Why it matters
Separates high-quality control (top position) from other control contexts — strong top control is a reliable path to winning rounds.
CLN/15
What it calculates
(Total Clinch Control Time ÷ Total Fight Time) × 15 minutes
Why it matters
Measures fence control and pace management — clinch time can mute opponent offense and bank scoring minutes.
GRD/15
What it calculates
(Total Ground Control Time ÷ Total Fight Time) × 15 minutes
Why it matters
Shows takedown follow-through and top pressure — ground control often creates long stretches of safe scoring and attrition.
CAGE
What it calculates
(Total Cage Control Time ÷ Total Fight Time) × 15 minutes
Why it matters
Quantifies time spent driving position against the fence — useful for understanding style matchups and opponent disruption.
BACK
What it calculates
(Total Back Control Time ÷ Total Fight Time) × 15 minutes
Why it matters
Back control is premium dominance — it strongly predicts submission threat and long, uncontested control sequences.
CHIN
What it calculates
Model score (0–100): durability under damaging strikes
Why it matters
A quick durability signal — higher scores suggest a fighter can survive danger and remain competitive deep into fights.
TDAtt
What it calculates
Career total takedown attempts (UFC bouts)
Why it matters
Represents grappling intent and game-planning tendency — high attempt totals usually indicate a wrestler-first approach.
TDLnd
What it calculates
Career total takedowns landed (UFC bouts)
Why it matters
Proof of conversion and control potential — landed takedowns often precede control time, damage, and submission attempts.
TDAg
What it calculates
Career total opponent takedown attempts faced (UFC bouts)
Why it matters
Shows how often opponents choose to wrestle them — a proxy for perceived defensive striking threat or exploitable takedown defense.
TDDef
What it calculates
Career total opponent takedown attempts defended (UFC bouts)
Why it matters
Highlights defensive wrestling volume — strong defense keeps fights in a preferred phase and preserves striking efficiency.