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.
Ilir Latifi
Heavyweight
99.6
CCR
Cristian Quinonez
Bantamweight
99.5
CCR
Aoriqileng
Bantamweight
99.5
CCR
Juliana Miller
Women's Flyweight
99.5
CCR
Billy Ray Goff
Welterweight
99.5
CCR
Charles Johnson
Flyweight
99.4
CCR
Jackson McVey
Middleweight
99.4
CCR
Diyar Nurgozhay
Light Heavyweight
99.4
CCR
Quang Le
Bantamweight
99.4
CCR
Tyson Pedro
Light Heavyweight
99.3
CCR
Leon Shahbazyan
Welterweight
99.3
CCR
John Makdessi
Lightweight
99.3
CCR
Rafael Tobias
Light Heavyweight
99.3
CCR
Dustin Stoltzfus
Middleweight
99.3
CCR
Steven Nguyen
Featherweight
99.2
CCR
Caio Machado
Light Heavyweight
99.2
CCR
Aleksandar Rakic
Heavyweight
99.2
CCR
Vinc Pichel
Lightweight
99.2
CCR
Jared Gooden
Welterweight
99.1
CCR
SeungGuk Choi
Flyweight
99.1
CCR
Garrett Armfield
Bantamweight
99.1
CCR
Shamil Gamzatov
Light Heavyweight
99.1
CCR
Alexander Munoz
Lightweight
99.1
CCR
Cody Stamann
Bantamweight
99.0
CCR
Justin Tafa
Heavyweight
99.0
CCR
Luan Lacerda
Bantamweight
99.0
CCR
Preston Parsons
Welterweight
99.0
CCR
Montana De La Rosa
Women's Flyweight
99.0
CCR
Azat Maksum
Flyweight
98.9
CCR
Landon Quinones
Lightweight
98.9
CCR
Derek Brunson
Middleweight
98.8
CCR
Kaynan Kruschewsky
Lightweight
98.8
CCR
Trevin Giles
Welterweight
98.7
CCR
Jorge Masvidal
Welterweight
98.7
CCR
Pedro Falcao
Bantamweight
98.7
CCR
Emily Ducote
Women's Strawweight
98.7
CCR
Marcus Buchecha
Heavyweight
98.6
CCR
Matt Brown
Welterweight
98.6
CCR
Marcos Rogerio de Lima
Heavyweight
98.6
CCR
Vanessa Demopoulos
Women's Flyweight
98.6
CCR
Josias Musasa
Bantamweight
98.5
CCR
Eric Nolan
Welterweight
98.5
CCR
Natan Levy
Lightweight
98.4
CCR
Matheus Nicolau
Flyweight
98.4
CCR
Tony Kelley
Bantamweight
98.3
CCR
Kurt Holobaugh
Lightweight
98.3
CCR
Albert Duraev
Middleweight
98.3
CCR
David Dvorak
Flyweight
98.3
CCR
Mandel Nallo
Lightweight
98.3
CCR
Tanner Boser
Heavyweight
98.3
CCR
| Rank | Fighter | Weight class | CCR | Percentile | Percentile per weight class | SLpM | TD / min |
|---|---|---|---|---|---|---|---|
| 601 | Ilir Latifi | Heavyweight | 99.6 | 46.2% | 44.7% | 2.9 | 0.2 |
| 602 | Cristian Quinonez | Bantamweight | 99.5 | 46.1% | 43.3% | 3.0 | 0.3 |
| 603 | Aoriqileng | Bantamweight | 99.5 | 46.0% | 42.7% | 3.8 | 0.1 |
| 604 | Juliana Miller | Women's Flyweight | 99.5 | 45.9% | 54.4% | 2.7 | 0.1 |
| 605 | Billy Ray Goff | Welterweight | 99.5 | 45.8% | 45.3% | 7.1 | 0.0 |
| 606 | Charles Johnson | Flyweight | 99.4 | 45.7% | 40.5% | 4.5 | 0.0 |
| 607 | Jackson McVey | Middleweight | 99.4 | 45.7% | 47.0% | 6.5 | 0.0 |
| 608 | Diyar Nurgozhay | Light Heavyweight | 99.4 | 45.6% | 55.8% | 4.9 | 0.1 |
| 609 | Quang Le | Bantamweight | 99.4 | 45.5% | 42.0% | 2.8 | 0.2 |
| 610 | Tyson Pedro | Light Heavyweight | 99.3 | 45.4% | 54.5% | 3.1 | 0.1 |
| 611 | Leon Shahbazyan | Welterweight | 99.3 | 45.3% | 44.6% | 0.0 | 0.0 |
| 612 | John Makdessi | Lightweight | 99.3 | 45.2% | 46.2% | 5.2 | 0.0 |
| 613 | Rafael Tobias | Light Heavyweight | 99.3 | 45.1% | 53.2% | 2.6 | 0.1 |
| 614 | Dustin Stoltzfus | Middleweight | 99.3 | 45.0% | 46.1% | 3.5 | 0.2 |
| 615 | Steven Nguyen | Featherweight | 99.2 | 44.9% | 43.4% | 6.2 | 0.0 |
| 616 | Caio Machado | Light Heavyweight | 99.2 | 44.8% | 51.9% | 5.1 | 0.0 |
| 617 | Aleksandar Rakic | Heavyweight | 99.2 | 44.8% | 43.4% | 3.9 | 0.0 |
| 618 | Vinc Pichel | Lightweight | 99.2 | 44.7% | 45.5% | 4.7 | 0.0 |
| 619 | Jared Gooden | Welterweight | 99.1 | 44.6% | 43.9% | 4.2 | 0.1 |
| 620 | SeungGuk Choi | Flyweight | 99.1 | 44.5% | 39.2% | 1.5 | 0.0 |
| 621 | Garrett Armfield | Bantamweight | 99.1 | 44.4% | 41.3% | 5.4 | 0.1 |
| 622 | Shamil Gamzatov | Light Heavyweight | 99.1 | 44.3% | 50.6% | 10.0 | 0.0 |
| 623 | Alexander Munoz | Lightweight | 99.1 | 44.2% | 44.8% | 2.9 | 0.2 |
| 624 | Cody Stamann | Bantamweight | 99.0 | 44.1% | 40.7% | 5.0 | 0.0 |
| 625 | Justin Tafa | Heavyweight | 99.0 | 44.0% | 42.1% | 2.2 | 0.0 |
| 626 | Luan Lacerda | Bantamweight | 99.0 | 43.9% | 40.0% | 4.1 | 0.2 |
| 627 | Preston Parsons | Welterweight | 99.0 | 43.9% | 43.2% | 3.5 | 0.2 |
| 628 | Montana De La Rosa | Women's Flyweight | 99.0 | 43.8% | 52.6% | 3.0 | 0.1 |
| 629 | Azat Maksum | Flyweight | 98.9 | 43.7% | 37.8% | 2.8 | 0.2 |
| 630 | Landon Quinones | Lightweight | 98.9 | 43.6% | 44.1% | 6.8 | 0.0 |
| 631 | Derek Brunson | Middleweight | 98.8 | 43.5% | 45.2% | 3.8 | 0.2 |
| 632 | Kaynan Kruschewsky | Lightweight | 98.8 | 43.4% | 43.4% | 5.1 | 0.2 |
| 633 | Trevin Giles | Welterweight | 98.7 | 43.3% | 42.4% | 3.2 | 0.1 |
| 634 | Jorge Masvidal | Welterweight | 98.7 | 43.2% | 41.7% | 2.7 | 0.0 |
| 635 | Pedro Falcao | Bantamweight | 98.7 | 43.1% | 39.3% | 3.3 | 0.2 |
| 636 | Emily Ducote | Women's Strawweight | 98.7 | 43.0% | 52.1% | 7.5 | 0.0 |
| 637 | Marcus Buchecha | Heavyweight | 98.6 | 43.0% | 40.8% | 1.6 | 0.1 |
| 638 | Matt Brown | Welterweight | 98.6 | 42.9% | 41.0% | 4.8 | 0.3 |
| 639 | Marcos Rogerio de Lima | Heavyweight | 98.6 | 42.8% | 39.5% | 4.6 | 0.1 |
| 640 | Vanessa Demopoulos | Women's Flyweight | 98.6 | 42.7% | 50.9% | 3.6 | 0.0 |
| 641 | Josias Musasa | Bantamweight | 98.5 | 42.6% | 38.7% | 3.1 | 0.1 |
| 642 | Welterweight | 98.5 | 42.5% | 40.3% | 1.7 | 0.0 | |
| 643 | Natan Levy | Lightweight | 98.4 | 42.4% | 42.8% | 4.1 | 0.4 |
| 644 | Matheus Nicolau | Flyweight | 98.4 | 42.3% | 36.5% | 2.8 | 0.0 |
| 645 | Tony Kelley | Bantamweight | 98.3 | 42.2% | 38.0% | 7.8 | 0.0 |
| 646 | Kurt Holobaugh | Lightweight | 98.3 | 42.2% | 42.1% | 4.7 | 0.0 |
| 647 | Albert Duraev | Middleweight | 98.3 | 42.1% | 44.3% | 3.2 | 0.1 |
| 648 | David Dvorak | Flyweight | 98.3 | 42.0% | 35.1% | 2.8 | 0.1 |
| 649 | Mandel Nallo | Lightweight | 98.3 | 41.9% | 41.4% | 7.7 | 0.0 |
| 650 | Tanner Boser | Heavyweight | 98.3 | 41.8% | 38.2% | 5.9 | 0.0 |
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.