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.
Julian Erosa
Featherweight
108.6
CCR
Saygid Izagakhmaev
Welterweight
108.5
CCR
Jamall Emmers
Featherweight
108.5
CCR
Joaquin Buckley
Welterweight
108.5
CCR
Darren Elkins
Featherweight
108.5
CCR
Alice Ardelean
Women's Strawweight
108.4
CCR
Josiah Harrell
Welterweight
108.4
CCR
Jesus Aguilar
Flyweight
108.3
CCR
Francisco Trinaldo
Welterweight
108.2
CCR
Puja Tomar
Women's Strawweight
108.1
CCR
Jack Jenkins
Featherweight
108.1
CCR
Ronaldo Rodriguez
Flyweight
108.1
CCR
Nicolle Caliari
Women's Strawweight
108.1
CCR
Brunno Ferreira
Middleweight
108.1
CCR
Tresean Gore
Middleweight
108.1
CCR
JooSang Yoo
Catch Weight
108.0
CCR
Kyler Phillips
Bantamweight
107.9
CCR
Jessica Andrade
Women's Strawweight
107.9
CCR
Nikolas Motta
Lightweight
107.8
CCR
Uran Satybaldiev
Light Heavyweight
107.8
CCR
Gauge Young
Lightweight
107.8
CCR
Santiago Luna
Bantamweight
107.7
CCR
Andre Fili
Featherweight
107.6
CCR
Felipe Franco
Light Heavyweight
107.5
CCR
Shane Burgos
Featherweight
107.5
CCR
Magomed Gadzhiyasulov
Light Heavyweight
107.5
CCR
Robert Ruchala
Featherweight
107.5
CCR
John Yannis
Bantamweight
107.4
CCR
Yair Rodriguez
Featherweight
107.4
CCR
Gunnar Nelson
Welterweight
107.3
CCR
Felicia Spencer
Women's Featherweight
107.3
CCR
Morgan Charriere
Featherweight
107.1
CCR
Austin Vanderford
Welterweight
107.1
CCR
Tereza Bleda
Women's Flyweight
107.1
CCR
Taila Santos
Women's Flyweight
106.9
CCR
Louie Sutherland
Heavyweight
106.9
CCR
Nate Maness
Flyweight
106.9
CCR
Israel Adesanya
Middleweight
106.8
CCR
Allen Frye Jr.
Heavyweight
106.8
CCR
Sulangrangbo
Bantamweight
106.8
CCR
Patchy Mix
Bantamweight
106.7
CCR
Henry Cejudo
Bantamweight
106.6
CCR
Lauren Murphy
Women's Flyweight
106.6
CCR
Charlie Campbell
Lightweight
106.5
CCR
Miesha Tate
Women's Bantamweight
106.5
CCR
Kelvin Gastelum
Middleweight
106.5
CCR
Torrez Finney
Middleweight
106.5
CCR
Daria Zhelezniakova
Women's Bantamweight
106.4
CCR
Macy Chiasson
Women's Bantamweight
106.2
CCR
Kurtis Campbell
Featherweight
106.1
CCR
| Rank | Fighter | Weight class | CCR | Percentile | Percentile per weight class | SLpM | TD / min |
|---|---|---|---|---|---|---|---|
| 401 | Julian Erosa | Featherweight | 108.6 | 64.1% | 66.4% | 7.1 | 0.1 |
| 402 | Saygid Izagakhmaev | Welterweight | 108.5 | 64.0% | 65.5% | 1.3 | 0.3 |
| 403 | Jamall Emmers | Featherweight | 108.5 | 63.9% | 65.7% | 4.7 | 0.2 |
| 404 | Joaquin Buckley | Welterweight | 108.5 | 63.9% | 64.7% | 3.5 | 0.1 |
| 405 | Darren Elkins | Featherweight | 108.5 | 63.8% | 65.0% | 3.0 | 0.2 |
| 406 | Alice Ardelean | Women's Strawweight | 108.4 | 63.7% | 67.1% | 7.0 | 0.1 |
| 407 | Josiah Harrell | Welterweight | 108.4 | 63.6% | 64.0% | 2.3 | 0.0 |
| 408 | Jesus Aguilar | Flyweight | 108.3 | 63.5% | 55.4% | 2.6 | 0.1 |
| 409 | Francisco Trinaldo | Welterweight | 108.2 | 63.4% | 63.3% | 3.5 | 0.0 |
| 410 | Puja Tomar | Women's Strawweight | 108.1 | 63.3% | 65.8% | 5.6 | 0.0 |
| 411 | Jack Jenkins | Featherweight | 108.1 | 63.2% | 64.3% | 4.6 | 0.1 |
| 412 | Ronaldo Rodriguez | Flyweight | 108.1 | 63.1% | 54.1% | 3.3 | 0.1 |
| 413 | Nicolle Caliari | Women's Strawweight | 108.1 | 63.0% | 64.4% | 3.0 | 0.2 |
| 414 | Brunno Ferreira | Middleweight | 108.1 | 63.0% | 64.3% | 3.1 | 0.1 |
| 415 | Tresean Gore | Middleweight | 108.1 | 62.9% | 63.5% | 3.4 | 0.1 |
| 416 | JooSang Yoo | Catch Weight | 108.0 | 62.8% | 64.3% | 6.4 | 0.0 |
| 417 | Kyler Phillips | Bantamweight | 107.9 | 62.7% | 63.3% | 4.5 | 0.2 |
| 418 | Jessica Andrade | Women's Strawweight | 107.9 | 62.6% | 63.0% | 6.8 | 0.0 |
| 419 | Nikolas Motta | Lightweight | 107.8 | 62.5% | 65.5% | 4.5 | 0.0 |
| 420 | Uran Satybaldiev | Light Heavyweight | 107.8 | 62.4% | 64.9% | 2.1 | 0.0 |
| 421 | Gauge Young | Lightweight | 107.8 | 62.3% | 64.8% | 7.0 | 0.1 |
| 422 | Santiago Luna | Bantamweight | 107.7 | 62.2% | 62.7% | 4.7 | 0.2 |
| 423 | Andre Fili | Featherweight | 107.6 | 62.2% | 63.6% | 4.1 | 0.1 |
| 424 | Felipe Franco | Light Heavyweight | 107.5 | 62.1% | 63.6% | 1.4 | 0.0 |
| 425 | Shane Burgos | Featherweight | 107.5 | 62.0% | 62.9% | 7.8 | 0.1 |
| 426 | Magomed Gadzhiyasulov | Light Heavyweight | 107.5 | 61.9% | 62.3% | 1.9 | 0.2 |
| 427 | Robert Ruchala | Featherweight | 107.5 | 61.8% | 62.2% | 3.4 | 0.1 |
| 428 | John Yannis | Bantamweight | 107.4 | 61.7% | 62.0% | 3.6 | 0.0 |
| 429 | Yair Rodriguez | Featherweight | 107.4 | 61.6% | 61.5% | 5.2 | 0.0 |
| 430 | Gunnar Nelson | Welterweight | 107.3 | 61.5% | 62.6% | 2.0 | 0.2 |
| 431 | Felicia Spencer | Women's Featherweight | 107.3 | 61.4% | 100.0% | 3.9 | 0.3 |
| 432 | Morgan Charriere | Featherweight | 107.1 | 61.3% | 60.8% | 4.0 | 0.1 |
| 433 | Austin Vanderford | Welterweight | 107.1 | 61.3% | 61.9% | 2.6 | 0.3 |
| 434 | Tereza Bleda | Women's Flyweight | 107.1 | 61.2% | 66.7% | 2.7 | 0.1 |
| 435 | Taila Santos | Women's Flyweight | 106.9 | 61.1% | 64.9% | 3.3 | 0.1 |
| 436 | Louie Sutherland | Heavyweight | 106.9 | 61.0% | 57.9% | 1.8 | 0.3 |
| 437 | Nate Maness | Flyweight | 106.9 | 60.9% | 52.7% | 3.5 | 0.0 |
| 438 | Israel Adesanya | Middleweight | 106.8 | 60.8% | 62.6% | 4.2 | 0.0 |
| 439 | Allen Frye Jr. | Heavyweight | 106.8 | 60.7% | 56.6% | 2.2 | 0.0 |
| 440 | Sulangrangbo | Bantamweight | 106.8 | 60.6% | 61.3% | 3.7 | 0.0 |
| 441 | Patchy Mix | Bantamweight | 106.7 | 60.5% | 60.7% | 5.3 | 0.2 |
| 442 | Henry Cejudo | Bantamweight | 106.6 | 60.4% | 60.0% | 3.6 | 0.1 |
| 443 | Lauren Murphy | Women's Flyweight | 106.6 | 60.4% | 63.2% | 3.9 | 0.1 |
| 444 | Charlie Campbell | Lightweight | 106.5 | 60.3% | 64.1% | 4.9 | 0.2 |
| 445 | Miesha Tate | Women's Bantamweight | 106.5 | 60.2% | 63.3% | 4.4 | 0.1 |
| 446 | Kelvin Gastelum | Middleweight | 106.5 | 60.1% | 61.7% | 4.0 | 0.0 |
| 447 | Torrez Finney | Middleweight | 106.5 | 60.0% | 60.9% | 1.0 | 0.3 |
| 448 | Daria Zhelezniakova | Women's Bantamweight | 106.4 | 59.9% | 61.2% | 4.1 | 0.0 |
| 449 | Macy Chiasson | Women's Bantamweight | 106.2 | 59.8% | 59.2% | 2.6 | 0.2 |
| 450 | Kurtis Campbell | Featherweight | 106.1 | 59.7% | 60.1% | 3.1 | 0.4 |
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.