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.
Philipe Lins
Light Heavyweight
116.4
CCR
Tyrell Fortune
Heavyweight
116.2
CCR
Loopy Godinez
Women's Strawweight
116.2
CCR
Randy Brown
Welterweight
116.2
CCR
Jim Miller
Lightweight
116.1
CCR
Tabatha Ricci
Women's Strawweight
116.1
CCR
Murtazali Magomedov
Featherweight
116.1
CCR
Sumudaerji
Flyweight
116.0
CCR
Youssef Zalal
Featherweight
116.0
CCR
Da'Mon Blackshear
Bantamweight
115.9
CCR
Beneil Dariush
Lightweight
115.9
CCR
Imanol Rodriguez
Flyweight
115.8
CCR
Esteban Ribovics
Lightweight
115.8
CCR
Jamey-Lyn Horth
Women's Flyweight
115.7
CCR
Raquel Pennington
Women's Bantamweight
115.6
CCR
Jose Delano
Featherweight
115.6
CCR
Shane Collins
Featherweight
115.6
CCR
Joseph Morales
Flyweight
115.5
CCR
Tommy McMillen
Featherweight
115.5
CCR
Michael Chiesa
Welterweight
115.4
CCR
Danny Silva
Featherweight
115.4
CCR
Mohammed Usman
Heavyweight
115.3
CCR
Jimmy Crute
Light Heavyweight
115.2
CCR
Regina Tarin
Catch Weight
115.1
CCR
Jose Henrique
Welterweight
115.1
CCR
Nicolas Dalby
Welterweight
114.9
CCR
Brady Hiestand
Bantamweight
114.9
CCR
Matheus Camilo
Lightweight
114.9
CCR
Caolan Loughran
Bantamweight
114.9
CCR
Fernando Padilla
Featherweight
114.8
CCR
Taiyilake Nueraji
Welterweight
114.7
CCR
Jose Aldo
Featherweight
114.7
CCR
Taylor Lapilus
Bantamweight
114.7
CCR
Gable Steveson
Heavyweight
114.6
CCR
Chepe Mariscal
Featherweight
114.5
CCR
Vicente Luque
Middleweight
114.5
CCR
Farman Hasanov
Welterweight
114.4
CCR
Jai Herbert
Lightweight
114.4
CCR
Stephanie Luciano
Women's Strawweight
114.4
CCR
Ty Miller
Welterweight
114.4
CCR
Islam Dulatov
Welterweight
114.3
CCR
Iwo Baraniewski
Light Heavyweight
114.2
CCR
Martin Buday
Heavyweight
114.2
CCR
Rob Font
Bantamweight
114.1
CCR
Axel Sola
Lightweight
114.1
CCR
Victor Hugo
Featherweight
114.0
CCR
Chas Skelly
Featherweight
114.0
CCR
Shamil Gaziev
Heavyweight
113.8
CCR
Shara Magomedov
Middleweight
113.6
CCR
Shanelle Dyer
Women's Strawweight
113.6
CCR
| Rank | Fighter | Weight class | CCR | Percentile | Percentile per weight class | SLpM | TD / min |
|---|---|---|---|---|---|---|---|
| 251 | Philipe Lins | Light Heavyweight | 116.4 | 77.6% | 75.3% | 4.2 | 0.2 |
| 252 | Tyrell Fortune | Heavyweight | 116.2 | 77.5% | 76.3% | 2.0 | 0.2 |
| 253 | Loopy Godinez | Women's Strawweight | 116.2 | 77.4% | 78.1% | 4.6 | 0.2 |
| 254 | Randy Brown | Welterweight | 116.2 | 77.3% | 75.5% | 5.0 | 0.0 |
| 255 | Jim Miller | Lightweight | 116.1 | 77.2% | 80.0% | 4.1 | 0.1 |
| 256 | Tabatha Ricci | Women's Strawweight | 116.1 | 77.1% | 76.7% | 4.1 | 0.2 |
| 257 | Murtazali Magomedov | Featherweight | 116.1 | 77.0% | 81.1% | 3.9 | 0.8 |
| 258 | Sumudaerji | Flyweight | 116.0 | 77.0% | 77.0% | 4.4 | 0.1 |
| 259 | Youssef Zalal | Featherweight | 116.0 | 76.9% | 80.4% | 3.1 | 0.1 |
| 260 | Da'Mon Blackshear | Bantamweight | 115.9 | 76.8% | 76.7% | 4.3 | 0.1 |
| 261 | Beneil Dariush | Lightweight | 115.9 | 76.7% | 79.3% | 3.5 | 0.2 |
| 262 | Imanol Rodriguez | Flyweight | 115.8 | 76.6% | 75.7% | 4.9 | 0.1 |
| 263 | Esteban Ribovics | Lightweight | 115.8 | 76.5% | 78.6% | 7.2 | 0.0 |
| 264 | Jamey-Lyn Horth | Women's Flyweight | 115.7 | 76.4% | 75.4% | 3.8 | 0.1 |
| 265 | Raquel Pennington | Women's Bantamweight | 115.6 | 76.3% | 69.4% | 5.0 | 0.0 |
| 266 | Jose Delano | Featherweight | 115.6 | 76.2% | 79.7% | 7.1 | 0.0 |
| 267 | Shane Collins | Featherweight | 115.6 | 76.1% | 79.0% | 5.1 | 0.0 |
| 268 | Joseph Morales | Flyweight | 115.5 | 76.1% | 74.3% | 3.1 | 0.2 |
| 269 | Tommy McMillen | Featherweight | 115.5 | 76.0% | 78.3% | 18.7 | 0.0 |
| 270 | Michael Chiesa | Welterweight | 115.4 | 75.9% | 74.8% | 2.4 | 0.1 |
| 271 | Danny Silva | Featherweight | 115.4 | 75.8% | 77.6% | 4.2 | 0.1 |
| 272 | Mohammed Usman | Heavyweight | 115.3 | 75.7% | 75.0% | 3.8 | 0.0 |
| 273 | Jimmy Crute | Light Heavyweight | 115.2 | 75.6% | 74.0% | 4.1 | 0.3 |
| 274 | Regina Tarin | Catch Weight | 115.1 | 75.5% | 100.0% | 7.6 | 0.1 |
| 275 | Jose Henrique | Welterweight | 115.1 | 75.4% | 74.1% | 4.8 | 0.0 |
| 276 | Nicolas Dalby | Welterweight | 114.9 | 75.3% | 73.4% | 4.6 | 0.0 |
| 277 | Brady Hiestand | Bantamweight | 114.9 | 75.2% | 76.0% | 2.7 | 0.3 |
| 278 | Matheus Camilo | Lightweight | 114.9 | 75.2% | 77.9% | 2.2 | 0.3 |
| 279 | Caolan Loughran | Bantamweight | 114.9 | 75.1% | 75.3% | 4.7 | 0.2 |
| 280 | Fernando Padilla | Featherweight | 114.8 | 75.0% | 76.9% | 6.1 | 0.0 |
| 281 | Taiyilake Nueraji | Welterweight | 114.7 | 74.9% | 72.7% | 7.6 | 0.3 |
| 282 | Jose Aldo | Featherweight | 114.7 | 74.8% | 76.2% | 4.3 | 0.0 |
| 283 | Taylor Lapilus | Bantamweight | 114.7 | 74.7% | 74.7% | 5.3 | 0.0 |
| 284 | Gable Steveson | Heavyweight | 114.6 | 74.6% | 73.7% | 16.3 | 0.0 |
| 285 | Chepe Mariscal | Featherweight | 114.5 | 74.5% | 75.5% | 4.1 | 0.2 |
| 286 | Vicente Luque | Middleweight | 114.5 | 74.4% | 77.4% | 3.5 | 0.1 |
| 287 | Farman Hasanov | Welterweight | 114.4 | 74.3% | 71.9% | 1.4 | 1.1 |
| 288 | Jai Herbert | Lightweight | 114.4 | 74.3% | 77.2% | 3.6 | 0.0 |
| 289 | Stephanie Luciano | Women's Strawweight | 114.4 | 74.2% | 75.3% | 5.0 | 0.1 |
| 290 | Ty Miller | Welterweight | 114.4 | 74.1% | 71.2% | 11.8 | 0.0 |
| 291 | Islam Dulatov | Welterweight | 114.3 | 74.0% | 70.5% | 5.1 | 0.0 |
| 292 | Iwo Baraniewski | Light Heavyweight | 114.2 | 73.9% | 72.7% | 11.3 | 0.0 |
| 293 | Martin Buday | Heavyweight | 114.2 | 73.8% | 72.4% | 4.4 | 0.0 |
| 294 | Rob Font | Bantamweight | 114.1 | 73.7% | 74.0% | 4.7 | 0.0 |
| 295 | Axel Sola | Lightweight | 114.1 | 73.6% | 76.6% | 4.1 | 0.1 |
| 296 | Victor Hugo | Featherweight | 114.0 | 73.5% | 74.8% | 3.8 | 0.0 |
| 297 | Chas Skelly | Featherweight | 114.0 | 73.5% | 74.1% | 2.0 | 0.1 |
| 298 | Shamil Gaziev | Heavyweight | 113.8 | 73.4% | 71.1% | 3.0 | 0.1 |
| 299 | Shara Magomedov | Middleweight | 113.6 | 73.3% | 76.5% | 5.5 | 0.0 |
| 300 | Shanelle Dyer | Women's Strawweight | 113.6 | 73.2% | 74.0% | 7.8 | 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.