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.
Francis Marshall
Lightweight
111.5
CCR
Muin Gafurov
Bantamweight
111.4
CCR
Ismail Naurdiev
Middleweight
111.4
CCR
Eryk Anders
Middleweight
111.4
CCR
Allan Nascimento
Flyweight
111.4
CCR
Colby Thicknesse
Bantamweight
111.2
CCR
Jalin Turner
Lightweight
111.2
CCR
Trey Ogden
Lightweight
111.1
CCR
Jared Cannonier
Middleweight
111.1
CCR
Eric McConico
Middleweight
110.9
CCR
Javid Basharat
Bantamweight
110.9
CCR
Alatengheili
Bantamweight
110.8
CCR
Chris Duncan
Lightweight
110.8
CCR
Hamdy Abdelwahab
Heavyweight
110.8
CCR
Melquizael Costa
Featherweight
110.7
CCR
Jamal Pogues
Heavyweight
110.7
CCR
Alice Pereira
Women's Bantamweight
110.7
CCR
Rei Tsuruya
Flyweight
110.6
CCR
Zak Cummings
Light Heavyweight
110.4
CCR
Thomas Petersen
Heavyweight
110.3
CCR
Tofiq Musayev
Lightweight
110.3
CCR
Terrance McKinney
Lightweight
110.2
CCR
Davey Grant
Bantamweight
110.2
CCR
Ernesta Kareckaite
Catch Weight
110.2
CCR
Carlos Leal
Welterweight
110.0
CCR
Evan Elder
Lightweight
109.9
CCR
Katlyn Cerminara
Women's Flyweight
109.9
CCR
Andre Lima
Flyweight
109.7
CCR
Ronnie Lawrence
Bantamweight
109.6
CCR
Cub Swanson
Featherweight
109.6
CCR
Yanal Ashmouz
Lightweight
109.5
CCR
Kevin Jousset
Welterweight
109.5
CCR
Aliaskhab Khizriev
Middleweight
109.5
CCR
Denzel Freeman
Heavyweight
109.5
CCR
Mark Choinski
Lightweight
109.4
CCR
Germaine de Randamie
Women's Bantamweight
109.2
CCR
Ding Meng
Welterweight
109.1
CCR
Marek Bujlo
Heavyweight
109.1
CCR
Sangwook Kim
Lightweight
109.1
CCR
Tecia Pennington
Women's Strawweight
109.0
CCR
Ozzy Diaz
Middleweight
109.0
CCR
Djorden Santos
Middleweight
108.9
CCR
Steven Asplund
Heavyweight
108.8
CCR
Marco Tulio
Middleweight
108.7
CCR
Oumar Sy
Light Heavyweight
108.7
CCR
Rafael Estevam
Bantamweight
108.7
CCR
Jafel Filho
Bantamweight
108.6
CCR
Kevin Borjas
Flyweight
108.6
CCR
Cody Durden
Flyweight
108.6
CCR
Otari Tanzilovi
Featherweight
108.6
CCR
| Rank | Fighter | Weight class | CCR | Percentile | Percentile per weight class | SLpM | TD / min |
|---|---|---|---|---|---|---|---|
| 351 | Francis Marshall | Lightweight | 111.5 | 68.6% | 72.4% | 2.3 | 0.1 |
| 352 | Muin Gafurov | Bantamweight | 111.4 | 68.5% | 68.7% | 3.7 | 0.0 |
| 353 | Ismail Naurdiev | Middleweight | 111.4 | 68.4% | 71.3% | 4.6 | 0.1 |
| 354 | Eryk Anders | Middleweight | 111.4 | 68.3% | 70.4% | 3.9 | 0.2 |
| 355 | Allan Nascimento | Flyweight | 111.4 | 68.3% | 62.2% | 2.4 | 0.1 |
| 356 | Colby Thicknesse | Bantamweight | 111.2 | 68.2% | 68.0% | 3.2 | 0.0 |
| 357 | Jalin Turner | Lightweight | 111.2 | 68.1% | 71.7% | 5.5 | 0.1 |
| 358 | Trey Ogden | Lightweight | 111.1 | 68.0% | 71.0% | 3.2 | 0.1 |
| 359 | Jared Cannonier | Middleweight | 111.1 | 67.9% | 69.6% | 4.8 | 0.0 |
| 360 | Eric McConico | Middleweight | 110.9 | 67.8% | 68.7% | 2.9 | 0.0 |
| 361 | Javid Basharat | Bantamweight | 110.9 | 67.7% | 67.3% | 5.2 | 0.1 |
| 362 | Alatengheili | Bantamweight | 110.8 | 67.6% | 66.7% | 2.8 | 0.1 |
| 363 | Chris Duncan | Lightweight | 110.8 | 67.5% | 70.3% | 4.6 | 0.2 |
| 364 | Hamdy Abdelwahab | Heavyweight | 110.8 | 67.4% | 65.8% | 4.3 | 0.2 |
| 365 | Melquizael Costa | Featherweight | 110.7 | 67.4% | 68.5% | 4.3 | 0.1 |
| 366 | Jamal Pogues | Heavyweight | 110.7 | 67.3% | 64.5% | 3.4 | 0.1 |
| 367 | Alice Pereira | Women's Bantamweight | 110.7 | 67.2% | 67.3% | 2.8 | 0.0 |
| 368 | Rei Tsuruya | Flyweight | 110.6 | 67.1% | 60.8% | 2.0 | 0.2 |
| 369 | Zak Cummings | Light Heavyweight | 110.4 | 67.0% | 67.5% | 7.0 | 0.0 |
| 370 | Thomas Petersen | Heavyweight | 110.3 | 66.9% | 63.2% | 3.1 | 0.2 |
| 371 | Tofiq Musayev | Lightweight | 110.3 | 66.8% | 69.7% | 1.8 | 0.2 |
| 372 | Terrance McKinney | Lightweight | 110.2 | 66.7% | 69.0% | 7.9 | 0.2 |
| 373 | Davey Grant | Bantamweight | 110.2 | 66.6% | 66.0% | 6.7 | 0.0 |
| 374 | Ernesta Kareckaite | Catch Weight | 110.2 | 66.5% | 71.4% | 5.6 | 0.0 |
| 375 | Carlos Leal | Welterweight | 110.0 | 66.5% | 67.6% | 8.8 | 0.0 |
| 376 | Evan Elder | Lightweight | 109.9 | 66.4% | 68.3% | 5.7 | 0.0 |
| 377 | Katlyn Cerminara | Women's Flyweight | 109.9 | 66.3% | 68.4% | 4.6 | 0.0 |
| 378 | Andre Lima | Flyweight | 109.7 | 66.2% | 59.5% | 3.9 | 0.1 |
| 379 | Ronnie Lawrence | Bantamweight | 109.6 | 66.1% | 65.3% | 1.9 | 0.2 |
| 380 | Cub Swanson | Featherweight | 109.6 | 66.0% | 67.8% | 6.0 | 0.0 |
| 381 | Yanal Ashmouz | Lightweight | 109.5 | 65.9% | 67.6% | 2.9 | 0.2 |
| 382 | Kevin Jousset | Welterweight | 109.5 | 65.8% | 66.9% | 6.6 | 0.0 |
| 383 | Aliaskhab Khizriev | Middleweight | 109.5 | 65.7% | 67.8% | 6.0 | 0.3 |
| 384 | Denzel Freeman | Heavyweight | 109.5 | 65.7% | 61.8% | 2.5 | 0.0 |
| 385 | Mark Choinski | Lightweight | 109.4 | 65.6% | 66.9% | 3.9 | 0.1 |
| 386 | Germaine de Randamie | Women's Bantamweight | 109.2 | 65.5% | 65.3% | 1.1 | 0.0 |
| 387 | Ding Meng | Welterweight | 109.1 | 65.4% | 66.2% | 4.2 | 0.0 |
| 388 | Marek Bujlo | Heavyweight | 109.1 | 65.3% | 60.5% | 2.1 | 0.0 |
| 389 | Sangwook Kim | Lightweight | 109.1 | 65.2% | 66.2% | 4.5 | 0.1 |
| 390 | Tecia Pennington | Women's Strawweight | 109.0 | 65.1% | 68.5% | 5.6 | 0.0 |
| 391 | Ozzy Diaz | Middleweight | 109.0 | 65.0% | 67.0% | 6.4 | 0.0 |
| 392 | Djorden Santos | Middleweight | 108.9 | 64.9% | 66.1% | 7.0 | 0.0 |
| 393 | Steven Asplund | Heavyweight | 108.8 | 64.8% | 59.2% | 9.7 | 0.0 |
| 394 | Marco Tulio | Middleweight | 108.7 | 64.8% | 65.2% | 7.1 | 0.1 |
| 395 | Oumar Sy | Light Heavyweight | 108.7 | 64.7% | 66.2% | 3.4 | 0.2 |
| 396 | Rafael Estevam | Bantamweight | 108.7 | 64.6% | 64.7% | 1.9 | 0.3 |
| 397 | Jafel Filho | Bantamweight | 108.6 | 64.5% | 64.0% | 1.6 | 0.2 |
| 398 | Kevin Borjas | Flyweight | 108.6 | 64.4% | 58.1% | 3.5 | 0.0 |
| 399 | Cody Durden | Flyweight | 108.6 | 64.3% | 56.8% | 3.3 | 0.3 |
| 400 | Otari Tanzilovi | Featherweight | 108.6 | 64.2% | 67.1% | 3.9 | 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.