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.
Donte Johnson
Middleweight
113.6
CCR
Felipe Lima
Bantamweight
113.6
CCR
Kody Steele
Lightweight
113.6
CCR
Kai Kara-France
Flyweight
113.6
CCR
ChangHo Lee
Bantamweight
113.5
CCR
Viviane Araujo
Women's Flyweight
113.5
CCR
Wes Schultz
Middleweight
113.4
CCR
Khalil Rountree Jr.
Light Heavyweight
113.4
CCR
Karine Silva
Women's Flyweight
113.4
CCR
Alberto Montes
Featherweight
113.4
CCR
Hecher Sosa
Bantamweight
113.3
CCR
Manoel Sousa
Lightweight
113.3
CCR
Gokhan Saricam
Heavyweight
113.2
CCR
Mantas Kondratavicius
Middleweight
113.0
CCR
Jeff Molina
Flyweight
113.0
CCR
Nikita Krylov
Light Heavyweight
113.0
CCR
Rongzhu
Lightweight
113.0
CCR
Marcio Barbosa
Featherweight
113.0
CCR
Ketlen Souza
Women's Strawweight
112.9
CCR
Angela Hill
Women's Strawweight
112.9
CCR
Ryan Gandra
Middleweight
112.8
CCR
Edgar Chairez
Flyweight
112.8
CCR
Andreas Gustafsson
Welterweight
112.8
CCR
Eduarda Moura
Catch Weight
112.7
CCR
Jeisla Chaves
Women's Strawweight
112.7
CCR
Gabriel Santos
Featherweight
112.7
CCR
Kai Asakura
Bantamweight
112.7
CCR
Rizvan Kuniev
Heavyweight
112.6
CCR
Jean Silva
Featherweight
112.6
CCR
Reinier de Ridder
Light Heavyweight
112.5
CCR
Victor Valenzuela
Welterweight
112.5
CCR
Ryan Spann
Heavyweight
112.4
CCR
Joaquim Silva
Lightweight
112.3
CCR
Dione Barbosa
Women's Flyweight
112.2
CCR
Tagir Ulanbekov
Flyweight
112.2
CCR
John Castaneda
Catch Weight
112.2
CCR
Yadier del Valle
Featherweight
112.2
CCR
Modestas Bukauskas
Catch Weight
112.2
CCR
Mark Vologdin
Bantamweight
112.2
CCR
JunYong Park
Middleweight
112.1
CCR
Losene Keita
Featherweight
112.1
CCR
Diego Ferreira
Lightweight
111.9
CCR
John Garza
Bantamweight
111.7
CCR
Nyamjargal Tumendemberel
Flyweight
111.7
CCR
Lone'er Kavanagh
Flyweight
111.6
CCR
Brandon Moreno
Flyweight
111.6
CCR
Khaos Williams
Welterweight
111.6
CCR
Jose Ochoa
Flyweight
111.5
CCR
SuYoung You
Bantamweight
111.5
CCR
Muhammad Naimov
Featherweight
111.5
CCR
| Rank | Fighter | Weight class | CCR | Percentile | Percentile per weight class | SLpM | TD / min |
|---|---|---|---|---|---|---|---|
| 301 | Donte Johnson | Middleweight | 113.6 | 73.1% | 75.7% | 2.6 | 0.1 |
| 302 | Felipe Lima | Bantamweight | 113.6 | 73.0% | 73.3% | 2.9 | 0.1 |
| 303 | Kody Steele | Lightweight | 113.6 | 72.9% | 75.9% | 3.2 | 0.1 |
| 304 | Kai Kara-France | Flyweight | 113.6 | 72.8% | 73.0% | 3.8 | 0.0 |
| 305 | ChangHo Lee | Bantamweight | 113.5 | 72.7% | 72.7% | 3.7 | 0.2 |
| 306 | Viviane Araujo | Women's Flyweight | 113.5 | 72.6% | 73.7% | 2.9 | 0.1 |
| 307 | Wes Schultz | Middleweight | 113.4 | 72.6% | 74.8% | 1.0 | 0.0 |
| 308 | Khalil Rountree Jr. | Light Heavyweight | 113.4 | 72.5% | 71.4% | 4.5 | 0.0 |
| 309 | Karine Silva | Women's Flyweight | 113.4 | 72.4% | 71.9% | 2.3 | 0.1 |
| 310 | Alberto Montes | Featherweight | 113.4 | 72.3% | 73.4% | 5.6 | 0.0 |
| 311 | Hecher Sosa | Bantamweight | 113.3 | 72.2% | 72.0% | 6.9 | 0.0 |
| 312 | Manoel Sousa | Lightweight | 113.3 | 72.1% | 75.2% | 5.0 | 0.0 |
| 313 | Gokhan Saricam | Heavyweight | 113.2 | 72.0% | 69.7% | 5.9 | 0.0 |
| 314 | Mantas Kondratavicius | Middleweight | 113.0 | 71.9% | 73.9% | 5.0 | 0.1 |
| 315 | Jeff Molina | Flyweight | 113.0 | 71.8% | 71.6% | 5.0 | 0.0 |
| 316 | Nikita Krylov | Light Heavyweight | 113.0 | 71.7% | 70.1% | 4.5 | 0.2 |
| 317 | Rongzhu | Lightweight | 113.0 | 71.7% | 74.5% | 6.2 | 0.1 |
| 318 | Marcio Barbosa | Featherweight | 113.0 | 71.6% | 72.7% | 3.0 | 0.0 |
| 319 | Ketlen Souza | Women's Strawweight | 112.9 | 71.5% | 72.6% | 4.1 | 0.0 |
| 320 | Angela Hill | Women's Strawweight | 112.9 | 71.4% | 71.2% | 5.2 | 0.1 |
| 321 | Ryan Gandra | Middleweight | 112.8 | 71.3% | 73.0% | 12.4 | 0.0 |
| 322 | Edgar Chairez | Flyweight | 112.8 | 71.2% | 70.3% | 3.9 | 0.0 |
| 323 | Andreas Gustafsson | Welterweight | 112.8 | 71.1% | 69.8% | 6.5 | 0.5 |
| 324 | Eduarda Moura | Catch Weight | 112.7 | 71.0% | 92.9% | 2.6 | 0.2 |
| 325 | Jeisla Chaves | Women's Strawweight | 112.7 | 70.9% | 69.9% | 4.3 | 0.2 |
| 326 | Gabriel Santos | Featherweight | 112.7 | 70.9% | 72.0% | 4.3 | 0.3 |
| 327 | Bantamweight | 112.7 | 70.8% | 71.3% | 2.5 | 0.0 | |
| 328 | Rizvan Kuniev | Heavyweight | 112.6 | 70.7% | 68.4% | 2.9 | 0.0 |
| 329 | Jean Silva | Featherweight | 112.6 | 70.6% | 71.3% | 4.6 | 0.1 |
| 330 | Reinier de Ridder | Light Heavyweight | 112.5 | 70.5% | 68.8% | 2.5 | 0.2 |
| 331 | Victor Valenzuela | Welterweight | 112.5 | 70.4% | 69.1% | 3.5 | 0.1 |
| 332 | Ryan Spann | Heavyweight | 112.4 | 70.3% | 67.1% | 2.8 | 0.1 |
| 333 | Joaquim Silva | Lightweight | 112.3 | 70.2% | 73.8% | 3.0 | 0.0 |
| 334 | Dione Barbosa | Women's Flyweight | 112.2 | 70.1% | 70.2% | 2.3 | 0.2 |
| 335 | Tagir Ulanbekov | Flyweight | 112.2 | 70.0% | 68.9% | 3.0 | 0.2 |
| 336 | John Castaneda | Catch Weight | 112.2 | 70.0% | 85.7% | 5.2 | 0.1 |
| 337 | Yadier del Valle | Featherweight | 112.2 | 69.9% | 70.6% | 1.1 | 0.0 |
| 338 | Modestas Bukauskas | Catch Weight | 112.2 | 69.8% | 78.6% | 3.0 | 0.0 |
| 339 | Mark Vologdin | Bantamweight | 112.2 | 69.7% | 70.7% | 6.1 | 0.1 |
| 340 | JunYong Park | Middleweight | 112.1 | 69.6% | 72.2% | 4.8 | 0.1 |
| 341 | Losene Keita | Featherweight | 112.1 | 69.5% | 69.9% | 3.5 | 0.0 |
| 342 | Diego Ferreira | Lightweight | 111.9 | 69.4% | 73.1% | 4.7 | 0.1 |
| 343 | John Garza | Bantamweight | 111.7 | 69.3% | 70.0% | 5.5 | 0.0 |
| 344 | Nyamjargal Tumendemberel | Flyweight | 111.7 | 69.2% | 67.6% | 1.9 | 0.2 |
| 345 | Lone'er Kavanagh | Flyweight | 111.6 | 69.1% | 66.2% | 4.1 | 0.1 |
| 346 | Brandon Moreno | Flyweight | 111.6 | 69.1% | 64.9% | 4.2 | 0.1 |
| 347 | Khaos Williams | Welterweight | 111.6 | 69.0% | 68.3% | 4.9 | 0.0 |
| 348 | Jose Ochoa | Flyweight | 111.5 | 68.9% | 63.5% | 5.2 | 0.0 |
| 349 | SuYoung You | Bantamweight | 111.5 | 68.8% | 69.3% | 2.4 | 0.2 |
| 350 | Muhammad Naimov | Featherweight | 111.5 | 68.7% | 69.2% | 2.3 | 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.