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.
Raoni Barcelos
Bantamweight
141.1
CCR
Tatiana Suarez
Women's Strawweight
141.0
CCR
Muhammad Mokaev
Flyweight
140.8
CCR
Tatsuro Taira
Flyweight
140.4
CCR
Nassourdine Imavov
Middleweight
140.1
CCR
Amanda Nunes
Women's Bantamweight
139.9
CCR
Fares Ziam
Lightweight
138.8
CCR
Ethyn Ewing
Bantamweight
138.4
CCR
Norma Dumont
Women's Bantamweight
138.1
CCR
Yousri Belgaroui
Middleweight
137.7
CCR
Michael Page
Welterweight
137.7
CCR
Mizuki
Women's Strawweight
137.5
CCR
Navajo Stirling
Light Heavyweight
137.4
CCR
Paulo Costa
Light Heavyweight
137.4
CCR
Vinicius Oliveira
Featherweight
137.4
CCR
Volkan Oezdemir
Light Heavyweight
137.2
CCR
Ketlen Vieira
Women's Bantamweight
136.6
CCR
Aljamain Sterling
Featherweight
136.5
CCR
Jose Delgado
Featherweight
136.4
CCR
Ailin Perez
Women's Bantamweight
136.4
CCR
Luana Santos
Women's Bantamweight
136.3
CCR
King Green
Lightweight
136.2
CCR
Alex Pereira
Heavyweight
135.6
CCR
Rinat Fakhretdinov
Welterweight
135.6
CCR
Tom Aspinall
Heavyweight
135.5
CCR
Gillian Robertson
Women's Strawweight
135.4
CCR
Rose Namajunas
Women's Flyweight
135.4
CCR
Bryan Battle
Welterweight
135.1
CCR
Rafael Fiziev
Lightweight
134.9
CCR
Sean O'Malley
Bantamweight
134.8
CCR
Joel Alvarez
Welterweight
134.7
CCR
Charles Jourdain
Bantamweight
134.0
CCR
Dricus Du Plessis
Middleweight
133.8
CCR
Raul Rosas Jr.
Bantamweight
133.7
CCR
Alexa Grasso
Women's Flyweight
133.6
CCR
Lerone Murphy
Featherweight
133.5
CCR
Wang Cong
Women's Flyweight
132.2
CCR
Dominick Reyes
Light Heavyweight
132.0
CCR
Piera Rodriguez
Women's Strawweight
131.8
CCR
Belal Muhammad
Welterweight
131.5
CCR
Bryce Mitchell
Bantamweight
131.3
CCR
Steve Garcia
Featherweight
131.3
CCR
Seokhyeon Ko
Welterweight
131.0
CCR
Virna Jandiroba
Women's Strawweight
130.8
CCR
Alexandre Pantoja
Flyweight
130.7
CCR
Kyoji Horiguchi
Flyweight
130.6
CCR
Punahele Soriano
Welterweight
130.4
CCR
Joanderson Brito
Featherweight
130.3
CCR
Jasmine Jasudavicius
Women's Flyweight
130.1
CCR
Dooho Choi
Featherweight
130.0
CCR
| Rank | Fighter | Weight class | CCR | Percentile | Percentile per weight class | SLpM | TD / min |
|---|---|---|---|---|---|---|---|
| 51 | Raoni Barcelos | Bantamweight | 141.1 | 95.5% | 96.7% | 4.2 | 0.2 |
| 52 | Tatiana Suarez | Women's Strawweight | 141.0 | 95.4% | 98.6% | 1.2 | 0.2 |
| 53 | Muhammad Mokaev | Flyweight | 140.8 | 95.3% | 97.3% | 1.6 | 0.4 |
| 54 | Tatsuro Taira | Flyweight | 140.4 | 95.2% | 95.9% | 2.9 | 0.2 |
| 55 | Nassourdine Imavov | Middleweight | 140.1 | 95.2% | 96.5% | 4.3 | 0.1 |
| 56 | Amanda Nunes | Women's Bantamweight | 139.9 | 95.1% | 95.9% | 4.7 | 0.2 |
| 57 | Fares Ziam | Lightweight | 138.8 | 95.0% | 93.1% | 2.9 | 0.2 |
| 58 | Ethyn Ewing | Bantamweight | 138.4 | 94.9% | 96.0% | 7.4 | 0.1 |
| 59 | Norma Dumont | Women's Bantamweight | 138.1 | 94.8% | 93.9% | 3.6 | 0.1 |
| 60 | Yousri Belgaroui | Middleweight | 137.7 | 94.7% | 95.7% | 8.0 | 0.0 |
| 61 | Michael Page | Welterweight | 137.7 | 94.6% | 94.2% | 2.1 | 0.0 |
| 62 | Mizuki | Women's Strawweight | 137.5 | 94.5% | 97.3% | 3.9 | 0.1 |
| 63 | Navajo Stirling | Light Heavyweight | 137.4 | 94.4% | 97.4% | 6.1 | 0.1 |
| 64 | Paulo Costa | Light Heavyweight | 137.4 | 94.3% | 96.1% | 5.8 | 0.0 |
| 65 | Vinicius Oliveira | Featherweight | 137.4 | 94.3% | 96.5% | 5.3 | 0.1 |
| 66 | Volkan Oezdemir | Light Heavyweight | 137.2 | 94.2% | 94.8% | 4.9 | 0.0 |
| 67 | Ketlen Vieira | Women's Bantamweight | 136.6 | 94.1% | 91.8% | 2.7 | 0.1 |
| 68 | Aljamain Sterling | Featherweight | 136.5 | 94.0% | 95.8% | 3.5 | 0.2 |
| 69 | Jose Delgado | Featherweight | 136.4 | 93.9% | 95.1% | 7.7 | 0.0 |
| 70 | Ailin Perez | Women's Bantamweight | 136.4 | 93.8% | 89.8% | 2.9 | 0.3 |
| 71 | Luana Santos | Women's Bantamweight | 136.3 | 93.7% | 87.8% | 2.5 | 0.1 |
| 72 | King Green | Lightweight | 136.2 | 93.6% | 92.4% | 8.9 | 0.1 |
| 73 | Alex Pereira | Heavyweight | 135.6 | 93.5% | 92.1% | 5.0 | 0.0 |
| 74 | Rinat Fakhretdinov | Welterweight | 135.6 | 93.5% | 93.5% | 5.0 | 0.3 |
| 75 | Tom Aspinall | Heavyweight | 135.5 | 93.4% | 90.8% | 7.8 | 0.1 |
| 76 | Gillian Robertson | Women's Strawweight | 135.4 | 93.3% | 95.9% | 3.3 | 0.2 |
| 77 | Rose Namajunas | Women's Flyweight | 135.4 | 93.2% | 91.2% | 3.0 | 0.1 |
| 78 | Bryan Battle | Welterweight | 135.1 | 93.1% | 92.8% | 5.1 | 0.1 |
| 79 | Rafael Fiziev | Lightweight | 134.9 | 93.0% | 91.7% | 4.7 | 0.1 |
| 80 | Sean O'Malley | Bantamweight | 134.8 | 92.9% | 95.3% | 4.7 | 0.0 |
| 81 | Joel Alvarez | Welterweight | 134.7 | 92.8% | 92.1% | 5.3 | 0.0 |
| 82 | Charles Jourdain | Bantamweight | 134.0 | 92.7% | 94.7% | 5.7 | 0.0 |
| 83 | Dricus Du Plessis | Middleweight | 133.8 | 92.6% | 94.8% | 5.2 | 0.1 |
| 84 | Raul Rosas Jr. | Bantamweight | 133.7 | 92.6% | 94.0% | 1.3 | 0.5 |
| 85 | Alexa Grasso | Women's Flyweight | 133.6 | 92.5% | 89.5% | 3.3 | 0.0 |
| 86 | Lerone Murphy | Featherweight | 133.5 | 92.4% | 94.4% | 4.7 | 0.1 |
| 87 | Wang Cong | Women's Flyweight | 132.2 | 92.3% | 87.7% | 6.8 | 0.0 |
| 88 | Dominick Reyes | Light Heavyweight | 132.0 | 92.2% | 93.5% | 5.5 | 0.0 |
| 89 | Piera Rodriguez | Women's Strawweight | 131.8 | 92.1% | 94.5% | 4.2 | 0.3 |
| 90 | Belal Muhammad | Welterweight | 131.5 | 92.0% | 91.4% | 4.1 | 0.1 |
| 91 | Bryce Mitchell | Bantamweight | 131.3 | 91.9% | 93.3% | 2.1 | 0.2 |
| 92 | Steve Garcia | Featherweight | 131.3 | 91.8% | 93.7% | 6.0 | 0.1 |
| 93 | Seokhyeon Ko | Welterweight | 131.0 | 91.7% | 90.6% | 2.3 | 0.3 |
| 94 | Virna Jandiroba | Women's Strawweight | 130.8 | 91.7% | 93.2% | 2.1 | 0.2 |
| 95 | Alexandre Pantoja | Flyweight | 130.7 | 91.6% | 94.6% | 4.5 | 0.3 |
| 96 | Kyoji Horiguchi | Flyweight | 130.6 | 91.5% | 93.2% | 3.7 | 0.1 |
| 97 | Punahele Soriano | Welterweight | 130.4 | 91.4% | 89.9% | 4.4 | 0.1 |
| 98 | Joanderson Brito | Featherweight | 130.3 | 91.3% | 93.0% | 2.2 | 0.2 |
| 99 | Jasmine Jasudavicius | Women's Flyweight | 130.1 | 91.2% | 86.0% | 3.4 | 0.2 |
| 100 | Dooho Choi | Featherweight | 130.0 | 91.1% | 92.3% | 4.8 | 0.1 |
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.