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.
Jacob Malkoun
Middleweight
119.6
CCR
Tracy Cortez
Women's Flyweight
119.4
CCR
Montel Jackson
Bantamweight
119.2
CCR
Jonathan Micallef
Welterweight
119.1
CCR
Veronica Hardy
Women's Flyweight
119.0
CCR
Uros Medic
Welterweight
118.9
CCR
Sean Woodson
Featherweight
118.9
CCR
Jaqueline Amorim
Women's Strawweight
118.8
CCR
Mansur Abdul-Malik
Middleweight
118.7
CCR
Serhiy Sidey
Bantamweight
118.7
CCR
Roman Kopylov
Middleweight
118.6
CCR
Jake Matthews
Welterweight
118.6
CCR
Colby Covington
Welterweight
118.6
CCR
Amanda Lemos
Women's Strawweight
118.5
CCR
Casey O'Neill
Women's Flyweight
118.5
CCR
JJ Aldrich
Women's Flyweight
118.4
CCR
Luis Felipe Dias
Middleweight
118.4
CCR
Cezary Oleksiejczuk
Middleweight
118.4
CCR
Steve Erceg
Flyweight
118.4
CCR
Jean Matsumoto
Bantamweight
118.3
CCR
Juan Diaz
Bantamweight
118.3
CCR
Trey Waters
Welterweight
118.2
CCR
Carli Judice
Women's Strawweight
118.2
CCR
Sam Hughes
Women's Strawweight
118.2
CCR
Melissa Croden
Women's Bantamweight
118.1
CCR
Iasmin Lucindo
Women's Strawweight
118.0
CCR
Jean-Paul Lebosnoyani
Welterweight
118.0
CCR
Tahir Abdullayev
Welterweight
118.0
CCR
Karl Williams
Heavyweight
117.9
CCR
Austin Bashi
Featherweight
117.8
CCR
Alonzo Menifield
Light Heavyweight
117.8
CCR
Rodolfo Bellato
Light Heavyweight
117.8
CCR
Amir Albazi
Flyweight
117.8
CCR
Edmen Shahbazyan
Middleweight
117.7
CCR
Azamat Murzakanov
Light Heavyweight
117.7
CCR
Aiemann Zahabi
Bantamweight
117.6
CCR
DongHun Choi
Flyweight
117.6
CCR
Leon Edwards
Welterweight
117.6
CCR
Aaron Pico
Featherweight
117.5
CCR
Lawrence Lui
Bantamweight
117.4
CCR
Tim Elliott
Flyweight
117.2
CCR
Carlos Vera
Bantamweight
117.2
CCR
Keiichiro Nakamura
Featherweight
117.1
CCR
Billy Elekana
Light Heavyweight
117.1
CCR
Grant Dawson
Lightweight
117.1
CCR
Alessandro Costa
Flyweight
117.0
CCR
Jan Blachowicz
Light Heavyweight
116.9
CCR
Benardo Sopaj
Bantamweight
116.9
CCR
Lance Gibson Jr.
Lightweight
116.8
CCR
Vitor Petrino
Heavyweight
116.7
CCR
| Rank | Fighter | Weight class | CCR | Percentile | Percentile per weight class | SLpM | TD / min |
|---|---|---|---|---|---|---|---|
| 201 | Jacob Malkoun | Middleweight | 119.6 | 82.1% | 82.6% | 4.7 | 0.3 |
| 202 | Tracy Cortez | Women's Flyweight | 119.4 | 82.0% | 82.5% | 4.0 | 0.1 |
| 203 | Montel Jackson | Bantamweight | 119.2 | 81.9% | 82.0% | 2.3 | 0.1 |
| 204 | Jonathan Micallef | Welterweight | 119.1 | 81.8% | 81.3% | 4.1 | 0.1 |
| 205 | Veronica Hardy | Women's Flyweight | 119.0 | 81.7% | 80.7% | 3.0 | 0.1 |
| 206 | Uros Medic | Welterweight | 118.9 | 81.6% | 80.6% | 4.2 | 0.0 |
| 207 | Sean Woodson | Featherweight | 118.9 | 81.5% | 83.9% | 5.8 | 0.1 |
| 208 | Jaqueline Amorim | Women's Strawweight | 118.8 | 81.4% | 84.9% | 2.3 | 0.1 |
| 209 | Mansur Abdul-Malik | Middleweight | 118.7 | 81.3% | 81.7% | 2.8 | 0.1 |
| 210 | Serhiy Sidey | Bantamweight | 118.7 | 81.3% | 81.3% | 4.5 | 0.1 |
| 211 | Roman Kopylov | Middleweight | 118.6 | 81.2% | 80.9% | 4.7 | 0.1 |
| 212 | Jake Matthews | Welterweight | 118.6 | 81.1% | 79.9% | 3.9 | 0.0 |
| 213 | Colby Covington | Welterweight | 118.6 | 81.0% | 79.1% | 3.1 | 0.1 |
| 214 | Amanda Lemos | Women's Strawweight | 118.5 | 80.9% | 83.6% | 2.0 | 0.1 |
| 215 | Casey O'Neill | Women's Flyweight | 118.5 | 80.8% | 78.9% | 8.7 | 0.0 |
| 216 | JJ Aldrich | Women's Flyweight | 118.4 | 80.7% | 77.2% | 4.1 | 0.0 |
| 217 | Luis Felipe Dias | Middleweight | 118.4 | 80.6% | 80.0% | 5.7 | 0.0 |
| 218 | Cezary Oleksiejczuk | Middleweight | 118.4 | 80.5% | 79.1% | 0.9 | 0.4 |
| 219 | Steve Erceg | Flyweight | 118.4 | 80.4% | 83.8% | 4.6 | 0.1 |
| 220 | Jean Matsumoto | Bantamweight | 118.3 | 80.4% | 80.7% | 5.1 | 0.2 |
| 221 | Juan Diaz | Bantamweight | 118.3 | 80.3% | 80.0% | 1.4 | 0.5 |
| 222 | Trey Waters | Welterweight | 118.2 | 80.2% | 78.4% | 6.6 | 0.0 |
| 223 | Carli Judice | Women's Strawweight | 118.2 | 80.1% | 82.2% | 8.7 | 0.0 |
| 224 | Sam Hughes | Women's Strawweight | 118.2 | 80.0% | 80.8% | 4.6 | 0.1 |
| 225 | Melissa Croden | Women's Bantamweight | 118.1 | 79.9% | 71.4% | 4.3 | 0.1 |
| 226 | Iasmin Lucindo | Women's Strawweight | 118.0 | 79.8% | 79.5% | 3.2 | 0.2 |
| 227 | Jean-Paul Lebosnoyani | Welterweight | 118.0 | 79.7% | 77.7% | 4.4 | 0.2 |
| 228 | Tahir Abdullayev | Welterweight | 118.0 | 79.6% | 77.0% | 2.6 | 0.1 |
| 229 | Karl Williams | Heavyweight | 117.9 | 79.6% | 78.9% | 3.0 | 0.3 |
| 230 | Austin Bashi | Featherweight | 117.8 | 79.5% | 83.2% | 1.3 | 0.2 |
| 231 | Alonzo Menifield | Light Heavyweight | 117.8 | 79.4% | 81.8% | 4.0 | 0.0 |
| 232 | Rodolfo Bellato | Light Heavyweight | 117.8 | 79.3% | 80.5% | 5.4 | 0.1 |
| 233 | Amir Albazi | Flyweight | 117.8 | 79.2% | 82.4% | 2.1 | 0.1 |
| 234 | Edmen Shahbazyan | Middleweight | 117.7 | 79.1% | 78.3% | 4.4 | 0.0 |
| 235 | Azamat Murzakanov | Light Heavyweight | 117.7 | 79.0% | 79.2% | 4.5 | 0.0 |
| 236 | Aiemann Zahabi | Bantamweight | 117.6 | 78.9% | 79.3% | 5.3 | 0.0 |
| 237 | DongHun Choi | Flyweight | 117.6 | 78.8% | 81.1% | 4.6 | 0.0 |
| 238 | Leon Edwards | Welterweight | 117.6 | 78.7% | 76.3% | 2.6 | 0.1 |
| 239 | Aaron Pico | Featherweight | 117.5 | 78.7% | 82.5% | 6.2 | 0.4 |
| 240 | Lawrence Lui | Bantamweight | 117.4 | 78.6% | 78.7% | 3.5 | 0.5 |
| 241 | Tim Elliott | Flyweight | 117.2 | 78.5% | 79.7% | 3.9 | 0.2 |
| 242 | Carlos Vera | Bantamweight | 117.2 | 78.4% | 78.0% | 1.5 | 0.0 |
| 243 | Keiichiro Nakamura | Featherweight | 117.1 | 78.3% | 81.8% | 3.3 | 0.0 |
| 244 | Billy Elekana | Light Heavyweight | 117.1 | 78.2% | 77.9% | 2.7 | 0.1 |
| 245 | Grant Dawson | Lightweight | 117.1 | 78.1% | 81.4% | 3.0 | 0.2 |
| 246 | Alessandro Costa | Flyweight | 117.0 | 78.0% | 78.4% | 3.9 | 0.1 |
| 247 | Jan Blachowicz | Light Heavyweight | 116.9 | 77.9% | 76.6% | 3.5 | 0.0 |
| 248 | Benardo Sopaj | Bantamweight | 116.9 | 77.8% | 77.3% | 4.4 | 0.2 |
| 249 | Lance Gibson Jr. | Lightweight | 116.8 | 77.8% | 80.7% | 2.4 | 0.1 |
| 250 | Vitor Petrino | Heavyweight | 116.7 | 77.7% | 77.6% | 3.1 | 0.2 |
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.