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.
Javier Reyes
Featherweight
103.9
CCR
Nathan Fletcher
Bantamweight
103.8
CCR
Nora Cornolle
Women's Bantamweight
103.8
CCR
Dominick Cruz
Bantamweight
103.7
CCR
Sergey Morozov
Bantamweight
103.7
CCR
Juan Adrian Martinetti
Bantamweight
103.7
CCR
Damir Ismagulov
Lightweight
103.5
CCR
Julio Arce
Featherweight
103.5
CCR
Douglas Silva de Andrade
Featherweight
103.5
CCR
Pedro Munhoz
Bantamweight
103.4
CCR
Askar Askarov
Flyweight
103.4
CCR
Sergey Khandozhko
Welterweight
103.3
CCR
Robbie Lawler
Welterweight
103.3
CCR
Rodrigo Sezinando
Welterweight
103.2
CCR
Melissa Martinez
Women's Strawweight
103.2
CCR
Cody Garbrandt
Bantamweight
103.1
CCR
Victor Henry
Bantamweight
103.0
CCR
Elves Brener
Lightweight
103.0
CCR
Kyle Daukaus
Middleweight
102.9
CCR
Christian Rodriguez
Featherweight
102.9
CCR
Sara McMann
Women's Bantamweight
102.9
CCR
Kiru Sahota
Flyweight
102.7
CCR
Zubaira Tukhugov
Lightweight
102.6
CCR
Dakota Hope
Lightweight
102.6
CCR
Luke Fernandez
Light Heavyweight
102.5
CCR
Carla Esparza
Women's Strawweight
102.5
CCR
Klaudia Sygula
Women's Bantamweight
102.4
CCR
Shem Rock
Lightweight
102.3
CCR
Kennedy Nzechukwu
Heavyweight
102.3
CCR
Phil Rowe
Welterweight
102.3
CCR
Isaac Dulgarian
Featherweight
102.3
CCR
Elizeu Zaleski dos Santos
Welterweight
102.3
CCR
Jamie Mullarkey
Lightweight
102.2
CCR
Kai Kamaka III
Featherweight
102.2
CCR
Felipe dos Santos
Flyweight
102.2
CCR
Xiong Jingnan
Women's Strawweight
102.2
CCR
Jared Gordon
Lightweight
102.1
CCR
Xiao Long
Bantamweight
102.1
CCR
Carlos Felipe
Heavyweight
102.0
CCR
Santiago Ponzinibbio
Welterweight
102.0
CCR
Timur Valiev
Bantamweight
102.0
CCR
Kyle Nelson
Lightweight
101.8
CCR
Matt Frevola
Lightweight
101.7
CCR
Malcolm Wellmaker
Bantamweight
101.7
CCR
Ismael Bonfim
Lightweight
101.7
CCR
Gilbert Burns
Welterweight
101.7
CCR
Geoff Neal
Welterweight
101.7
CCR
Gabriella Fernandes
Women's Flyweight
101.7
CCR
Uriah Hall
Middleweight
101.7
CCR
Cortavious Romious
Bantamweight
101.6
CCR
| Rank | Fighter | Weight class | CCR | Percentile | Percentile per weight class | SLpM | TD / min |
|---|---|---|---|---|---|---|---|
| 501 | Javier Reyes | Featherweight | 103.9 | 55.2% | 55.2% | 5.7 | 0.1 |
| 502 | Nathan Fletcher | Bantamweight | 103.8 | 55.1% | 55.3% | 3.4 | 0.2 |
| 503 | Nora Cornolle | Women's Bantamweight | 103.8 | 55.0% | 51.0% | 2.7 | 0.0 |
| 504 | Dominick Cruz | Bantamweight | 103.7 | 54.9% | 54.7% | 6.0 | 0.1 |
| 505 | Sergey Morozov | Bantamweight | 103.7 | 54.8% | 54.0% | 3.4 | 0.3 |
| 506 | Juan Adrian Martinetti | Bantamweight | 103.7 | 54.7% | 53.3% | 6.6 | 0.1 |
| 507 | Damir Ismagulov | Lightweight | 103.5 | 54.6% | 57.9% | 2.8 | 0.0 |
| 508 | Featherweight | 103.5 | 54.5% | 54.5% | 4.5 | 0.0 | |
| 509 | Douglas Silva de Andrade | Featherweight | 103.5 | 54.4% | 53.8% | 3.1 | 0.0 |
| 510 | Pedro Munhoz | Bantamweight | 103.4 | 54.3% | 52.7% | 5.0 | 0.0 |
| 511 | Askar Askarov | Flyweight | 103.4 | 54.3% | 50.0% | 1.8 | 0.1 |
| 512 | Sergey Khandozhko | Welterweight | 103.3 | 54.2% | 54.0% | 5.3 | 0.1 |
| 513 | Robbie Lawler | Welterweight | 103.3 | 54.1% | 53.2% | 10.4 | 0.0 |
| 514 | Rodrigo Sezinando | Welterweight | 103.2 | 54.0% | 52.5% | 2.2 | 0.2 |
| 515 | Melissa Martinez | Women's Strawweight | 103.2 | 53.9% | 57.5% | 3.8 | 0.0 |
| 516 | Cody Garbrandt | Bantamweight | 103.1 | 53.8% | 52.0% | 2.2 | 0.0 |
| 517 | Victor Henry | Bantamweight | 103.0 | 53.7% | 51.3% | 7.2 | 0.1 |
| 518 | Elves Brener | Lightweight | 103.0 | 53.6% | 57.2% | 4.8 | 0.1 |
| 519 | Kyle Daukaus | Middleweight | 102.9 | 53.5% | 53.9% | 3.0 | 0.2 |
| 520 | Christian Rodriguez | Featherweight | 102.9 | 53.5% | 53.1% | 3.7 | 0.1 |
| 521 | Sara McMann | Women's Bantamweight | 102.9 | 53.4% | 49.0% | 1.6 | 0.3 |
| 522 | Kiru Sahota | Flyweight | 102.7 | 53.3% | 48.6% | 0.8 | 0.0 |
| 523 | Zubaira Tukhugov | Lightweight | 102.6 | 53.2% | 56.6% | 4.9 | 0.1 |
| 524 | Dakota Hope | Lightweight | 102.6 | 53.1% | 55.9% | 7.1 | 0.1 |
| 525 | Luke Fernandez | Light Heavyweight | 102.5 | 53.0% | 61.0% | 5.9 | 0.0 |
| 526 | Carla Esparza | Women's Strawweight | 102.5 | 52.9% | 56.2% | 1.6 | 0.2 |
| 527 | Klaudia Sygula | Women's Bantamweight | 102.4 | 52.8% | 46.9% | 7.3 | 0.0 |
| 528 | Shem Rock | Lightweight | 102.3 | 52.7% | 55.2% | 3.0 | 0.1 |
| 529 | Kennedy Nzechukwu | Heavyweight | 102.3 | 52.6% | 50.0% | 4.9 | 0.1 |
| 530 | Phil Rowe | Welterweight | 102.3 | 52.6% | 51.8% | 3.2 | 0.0 |
| 531 | Isaac Dulgarian | Featherweight | 102.3 | 52.5% | 52.4% | 3.0 | 0.3 |
| 532 | Elizeu Zaleski dos Santos | Welterweight | 102.3 | 52.4% | 51.1% | 4.3 | 0.1 |
| 533 | Jamie Mullarkey | Lightweight | 102.2 | 52.3% | 54.5% | 4.8 | 0.1 |
| 534 | Kai Kamaka III | Featherweight | 102.2 | 52.2% | 51.7% | 5.3 | 0.0 |
| 535 | Felipe dos Santos | Flyweight | 102.2 | 52.1% | 47.3% | 3.8 | 0.0 |
| 536 | Xiong Jingnan | Women's Strawweight | 102.2 | 52.0% | 54.8% | 4.5 | 0.0 |
| 537 | Jared Gordon | Lightweight | 102.1 | 51.9% | 53.8% | 5.6 | 0.1 |
| 538 | Xiao Long | Bantamweight | 102.1 | 51.8% | 50.7% | 5.0 | 0.1 |
| 539 | Carlos Felipe | Heavyweight | 102.0 | 51.7% | 48.7% | 4.9 | 0.0 |
| 540 | Santiago Ponzinibbio | Welterweight | 102.0 | 51.7% | 50.4% | 5.0 | 0.1 |
| 541 | Timur Valiev | Bantamweight | 102.0 | 51.6% | 50.0% | 4.8 | 0.1 |
| 542 | Kyle Nelson | Lightweight | 101.8 | 51.5% | 53.1% | 3.6 | 0.1 |
| 543 | Matt Frevola | Lightweight | 101.7 | 51.4% | 52.4% | 4.3 | 0.1 |
| 544 | Malcolm Wellmaker | Bantamweight | 101.7 | 51.3% | 49.3% | 4.3 | 0.0 |
| 545 | Ismael Bonfim | Lightweight | 101.7 | 51.2% | 51.7% | 5.5 | 0.1 |
| 546 | Gilbert Burns | Welterweight | 101.7 | 51.1% | 49.6% | 3.2 | 0.1 |
| 547 | Geoff Neal | Welterweight | 101.7 | 51.0% | 48.9% | 5.7 | 0.0 |
| 548 | Gabriella Fernandes | Women's Flyweight | 101.7 | 50.9% | 59.6% | 3.5 | 0.0 |
| 549 | Uriah Hall | Middleweight | 101.7 | 50.9% | 53.0% | 2.8 | 0.0 |
| 550 | Cortavious Romious | Bantamweight | 101.6 | 50.8% | 48.7% | 1.2 | 0.3 |
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.