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.
Raulian Paiva
Bantamweight
93.6
CCR
Ian Heinisch
Middleweight
93.6
CCR
Ottman Azaitar
Lightweight
93.5
CCR
Dakota Bush
Lightweight
93.5
CCR
Benito Lopez
Bantamweight
93.5
CCR
Ovince Saint Preux
Light Heavyweight
93.4
CCR
Kay Hansen
Women's Strawweight
93.3
CCR
Tainara Lisboa
Women's Bantamweight
93.3
CCR
Josh Quinlan
Welterweight
93.2
CCR
Jamey Simmons
Bantamweight
93.2
CCR
Ravena Oliveira
Women's Strawweight
93.2
CCR
Bruno Silva
Flyweight
93.1
CCR
Raphael Assuncao
Bantamweight
93.1
CCR
Michael Aswell Jr.
Featherweight
93.0
CCR
Cameron VanCamp
Lightweight
93.0
CCR
AJ Dobson
Middleweight
93.0
CCR
Max Griffin
Welterweight
93.0
CCR
Tuco Tokkos
Light Heavyweight
93.0
CCR
Kleydson Rodrigues
Bantamweight
92.9
CCR
Gabriel Miranda
Featherweight
92.9
CCR
Brendson Ribeiro
Light Heavyweight
92.9
CCR
Andrew Sanchez
Middleweight
92.9
CCR
Da Woon Jung
Light Heavyweight
92.9
CCR
Court McGee
Welterweight
92.9
CCR
Andre Ewell
Featherweight
92.8
CCR
Rafael Dos Anjos
Welterweight
92.7
CCR
Martin Sano
Welterweight
92.7
CCR
Ivana Petrovic
Women's Flyweight
92.6
CCR
Clay Guida
Lightweight
92.6
CCR
CJ Vergara
Flyweight
92.6
CCR
Val Woodburn
Welterweight
92.6
CCR
Darrius Flowers
Lightweight
92.5
CCR
Mark Striegl
Featherweight
92.5
CCR
Darren Stewart
Light Heavyweight
92.4
CCR
Andrea Lee
Women's Flyweight
92.4
CCR
Guido Cannetti
Bantamweight
92.4
CCR
Luana Pinheiro
Women's Strawweight
92.4
CCR
HyunSung Park
Flyweight
92.3
CCR
Austin Lingo
Featherweight
92.3
CCR
Luigi Vendramini
Lightweight
92.3
CCR
Marcin Prachnio
Light Heavyweight
92.3
CCR
Jesse Strader
Bantamweight
92.3
CCR
Alex Reyes
Lightweight
92.2
CCR
Abu Azaitar
Middleweight
92.2
CCR
Parker Porter
Heavyweight
92.2
CCR
Lucie Pudilova
Women's Flyweight
92.2
CCR
Danny Chavez
Featherweight
92.1
CCR
Antonio Trocoli
Middleweight
92.1
CCR
Devin Clark
Light Heavyweight
92.1
CCR
Stephanie Egger
Women's Bantamweight
92.1
CCR
| Rank | Fighter | Weight class | CCR | Percentile | Percentile per weight class | SLpM | TD / min |
|---|---|---|---|---|---|---|---|
| 801 | Raulian Paiva | Bantamweight | 93.6 | 28.3% | 24.7% | 3.6 | 0.1 |
| 802 | Ian Heinisch | Middleweight | 93.6 | 28.2% | 34.8% | 2.9 | 0.0 |
| 803 | Ottman Azaitar | Lightweight | 93.5 | 28.1% | 26.9% | 2.9 | 0.0 |
| 804 | Dakota Bush | Lightweight | 93.5 | 28.0% | 26.2% | 2.9 | 0.5 |
| 805 | Benito Lopez | Bantamweight | 93.5 | 27.9% | 24.0% | 3.5 | 0.0 |
| 806 | Ovince Saint Preux | Light Heavyweight | 93.4 | 27.8% | 35.1% | 6.6 | 0.0 |
| 807 | Kay Hansen | Women's Strawweight | 93.3 | 27.7% | 30.1% | 2.5 | 0.1 |
| 808 | Tainara Lisboa | Women's Bantamweight | 93.3 | 27.6% | 32.7% | 2.0 | 0.1 |
| 809 | Josh Quinlan | Welterweight | 93.2 | 27.5% | 24.5% | 3.3 | 0.0 |
| 810 | Jamey Simmons | Bantamweight | 93.2 | 27.4% | 23.3% | 0.9 | 0.0 |
| 811 | Ravena Oliveira | Women's Strawweight | 93.2 | 27.4% | 28.8% | 1.9 | 0.1 |
| 812 | Bruno Silva | Flyweight | 93.1 | 27.3% | 20.3% | 4.7 | 0.1 |
| 813 | Raphael Assuncao | Bantamweight | 93.1 | 27.2% | 22.7% | 2.9 | 0.2 |
| 814 | Michael Aswell Jr. | Featherweight | 93.0 | 27.1% | 26.6% | 6.7 | 0.0 |
| 815 | Cameron VanCamp | Lightweight | 93.0 | 27.0% | 25.5% | 5.3 | 0.0 |
| 816 | AJ Dobson | Middleweight | 93.0 | 26.9% | 33.9% | 3.9 | 0.1 |
| 817 | Max Griffin | Welterweight | 93.0 | 26.8% | 23.7% | 2.7 | 0.1 |
| 818 | Tuco Tokkos | Light Heavyweight | 93.0 | 26.7% | 33.8% | 2.3 | 0.2 |
| 819 | Kleydson Rodrigues | Bantamweight | 92.9 | 26.6% | 22.0% | 3.9 | 0.1 |
| 820 | Gabriel Miranda | Featherweight | 92.9 | 26.5% | 25.9% | 3.2 | 0.3 |
| 821 | Brendson Ribeiro | Light Heavyweight | 92.9 | 26.5% | 32.5% | 2.6 | 0.1 |
| 822 | Andrew Sanchez | Middleweight | 92.9 | 26.4% | 33.0% | 2.6 | 0.6 |
| 823 | Da Woon Jung | Light Heavyweight | 92.9 | 26.3% | 31.2% | 2.6 | 0.0 |
| 824 | Court McGee | Welterweight | 92.9 | 26.2% | 23.0% | 3.3 | 0.1 |
| 825 | Andre Ewell | Featherweight | 92.8 | 26.1% | 25.2% | 3.7 | 0.0 |
| 826 | Rafael Dos Anjos | Welterweight | 92.7 | 26.0% | 22.3% | 3.5 | 0.1 |
| 827 | Martin Sano | Welterweight | 92.7 | 25.9% | 21.6% | 4.0 | 0.0 |
| 828 | Ivana Petrovic | Women's Flyweight | 92.6 | 25.8% | 35.1% | 1.9 | 0.1 |
| 829 | Clay Guida | Lightweight | 92.6 | 25.7% | 24.8% | 3.7 | 0.1 |
| 830 | CJ Vergara | Flyweight | 92.6 | 25.7% | 18.9% | 4.9 | 0.0 |
| 831 | Val Woodburn | Welterweight | 92.6 | 25.6% | 20.9% | 1.6 | 0.1 |
| 832 | Darrius Flowers | Lightweight | 92.5 | 25.5% | 24.1% | 3.2 | 0.1 |
| 833 | Mark Striegl | Featherweight | 92.5 | 25.4% | 24.5% | 1.1 | 0.0 |
| 834 | Darren Stewart | Light Heavyweight | 92.4 | 25.3% | 29.9% | 5.9 | 0.7 |
| 835 | Andrea Lee | Women's Flyweight | 92.4 | 25.2% | 33.3% | 3.8 | 0.1 |
| 836 | Guido Cannetti | Bantamweight | 92.4 | 25.1% | 21.3% | 4.8 | 0.1 |
| 837 | Luana Pinheiro | Women's Strawweight | 92.4 | 25.0% | 27.4% | 3.1 | 0.1 |
| 838 | HyunSung Park | Flyweight | 92.3 | 24.9% | 17.6% | 3.2 | 0.1 |
| 839 | Austin Lingo | Featherweight | 92.3 | 24.8% | 23.8% | 4.1 | 0.0 |
| 840 | Luigi Vendramini | Lightweight | 92.3 | 24.8% | 23.4% | 5.7 | 0.2 |
| 841 | Marcin Prachnio | Light Heavyweight | 92.3 | 24.7% | 28.6% | 5.2 | 0.0 |
| 842 | Jesse Strader | Bantamweight | 92.3 | 24.6% | 20.7% | 4.7 | 0.3 |
| 843 | Alex Reyes | Lightweight | 92.2 | 24.5% | 22.8% | 4.5 | 0.1 |
| 844 | Abu Azaitar | Middleweight | 92.2 | 24.4% | 32.2% | 2.7 | 0.1 |
| 845 | Parker Porter | Heavyweight | 92.2 | 24.3% | 28.9% | 5.8 | 0.1 |
| 846 | Lucie Pudilova | Women's Flyweight | 92.2 | 24.2% | 31.6% | 2.6 | 0.1 |
| 847 | Danny Chavez | Featherweight | 92.1 | 24.1% | 23.1% | 2.7 | 0.1 |
| 848 | Antonio Trocoli | Middleweight | 92.1 | 24.0% | 31.3% | 1.3 | 0.0 |
| 849 | Devin Clark | Light Heavyweight | 92.1 | 23.9% | 27.3% | 2.6 | 0.1 |
| 850 | Stephanie Egger | Women's Bantamweight | 92.1 | 23.9% | 30.6% | 2.8 | 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.