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.
Armen Petrosyan
Middleweight
95.2
CCR
Roberto Romero
Featherweight
95.1
CCR
Michael Trizano
Featherweight
95.1
CCR
Alvin Hines
Heavyweight
95.1
CCR
Viacheslav Borshchev
Lightweight
95.0
CCR
Alejandro Perez
Featherweight
95.0
CCR
AJ Fletcher
Welterweight
94.9
CCR
Joanna Jedrzejczyk
Women's Strawweight
94.9
CCR
John Allan
Light Heavyweight
94.8
CCR
Yazmin Jauregui
Women's Strawweight
94.8
CCR
Abubakar Nurmagomedov
Welterweight
94.8
CCR
JeongYeong Lee
Featherweight
94.8
CCR
Francisco Figueiredo
Flyweight
94.8
CCR
Kanako Murata
Women's Strawweight
94.7
CCR
Carlos Candelario
Flyweight
94.7
CCR
Cameron Smotherman
Bantamweight
94.6
CCR
Louis Cosce
Welterweight
94.6
CCR
Christos Giagos
Lightweight
94.6
CCR
Thiago Santos
Light Heavyweight
94.5
CCR
Alex Morono
Welterweight
94.5
CCR
Mark Madsen
Lightweight
94.5
CCR
Julius Walker
Light Heavyweight
94.5
CCR
Anderson Dos Santos
Bantamweight
94.3
CCR
Rani Yahya
Bantamweight
94.3
CCR
Nick Fiore
Lightweight
94.3
CCR
Victor Altamirano
Flyweight
94.2
CCR
Victor Martinez
Lightweight
94.2
CCR
Shayilan Nuerdanbieke
Featherweight
94.2
CCR
Antonina Shevchenko
Women's Flyweight
94.2
CCR
Mike Breeden
Lightweight
94.1
CCR
Impa Kasanganay
Welterweight
94.1
CCR
Juancamilo Ronderos
Flyweight
94.1
CCR
Tony Gravely
Bantamweight
94.1
CCR
Calvin Kattar
Featherweight
94.1
CCR
Nick Maximov
Middleweight
94.1
CCR
Julija Stoliarenko
Women's Flyweight
94.0
CCR
Anshul Jubli
Lightweight
94.0
CCR
Brad Katona
Bantamweight
93.9
CCR
Nikolay Veretennikov
Welterweight
93.8
CCR
Matthew Semelsberger
Welterweight
93.8
CCR
Liudvik Sholinian
Bantamweight
93.8
CCR
Askar Mozharov
Light Heavyweight
93.8
CCR
Nick Klein
Middleweight
93.7
CCR
Don Shainis
Featherweight
93.7
CCR
Francisco Prado
Welterweight
93.7
CCR
Jessica Penne
Women's Strawweight
93.7
CCR
Johnny Munoz
Bantamweight
93.7
CCR
Rafael Alves
Lightweight
93.6
CCR
Terrance Saeteurn
Flyweight
93.6
CCR
Gaston Bolanos
Featherweight
93.6
CCR
| Rank | Fighter | Weight class | CCR | Percentile | Percentile per weight class | SLpM | TD / min |
|---|---|---|---|---|---|---|---|
| 751 | Armen Petrosyan | Middleweight | 95.2 | 32.7% | 37.4% | 5.9 | 0.0 |
| 752 | Roberto Romero | Featherweight | 95.1 | 32.6% | 32.2% | 4.6 | 0.0 |
| 753 | Michael Trizano | Featherweight | 95.1 | 32.6% | 31.5% | 4.3 | 0.0 |
| 754 | Alvin Hines | Heavyweight | 95.1 | 32.5% | 30.3% | 5.5 | 0.1 |
| 755 | Viacheslav Borshchev | Lightweight | 95.0 | 32.4% | 32.4% | 5.0 | 0.0 |
| 756 | Alejandro Perez | Featherweight | 95.0 | 32.3% | 30.8% | 3.1 | 0.0 |
| 757 | AJ Fletcher | Welterweight | 94.9 | 32.2% | 30.2% | 3.3 | 0.1 |
| 758 | Joanna Jedrzejczyk | Women's Strawweight | 94.9 | 32.1% | 35.6% | 5.8 | 0.0 |
| 759 | John Allan | Light Heavyweight | 94.8 | 32.0% | 40.3% | 5.1 | 0.0 |
| 760 | Yazmin Jauregui | Women's Strawweight | 94.8 | 31.9% | 34.2% | 6.6 | 0.0 |
| 761 | Abubakar Nurmagomedov | Welterweight | 94.8 | 31.8% | 29.5% | 2.3 | 0.1 |
| 762 | JeongYeong Lee | Featherweight | 94.8 | 31.7% | 30.1% | 3.2 | 0.0 |
| 763 | Francisco Figueiredo | Flyweight | 94.8 | 31.7% | 27.0% | 2.1 | 0.1 |
| 764 | Kanako Murata | Women's Strawweight | 94.7 | 31.6% | 32.9% | 2.3 | 0.3 |
| 765 | Carlos Candelario | Flyweight | 94.7 | 31.5% | 25.7% | 3.4 | 0.1 |
| 766 | Cameron Smotherman | Bantamweight | 94.6 | 31.4% | 29.3% | 4.0 | 0.0 |
| 767 | Louis Cosce | Welterweight | 94.6 | 31.3% | 28.8% | 0.7 | 0.1 |
| 768 | Christos Giagos | Lightweight | 94.6 | 31.2% | 31.7% | 3.6 | 0.0 |
| 769 | Thiago Santos | Light Heavyweight | 94.5 | 31.1% | 39.0% | 2.3 | 0.1 |
| 770 | Alex Morono | Welterweight | 94.5 | 31.0% | 28.1% | 4.8 | 0.0 |
| 771 | Mark Madsen | Lightweight | 94.5 | 30.9% | 31.0% | 4.0 | 0.1 |
| 772 | Julius Walker | Light Heavyweight | 94.5 | 30.9% | 37.7% | 3.7 | 0.3 |
| 773 | Anderson Dos Santos | Bantamweight | 94.3 | 30.8% | 28.7% | 2.8 | 0.0 |
| 774 | Rani Yahya | Bantamweight | 94.3 | 30.7% | 28.0% | 2.8 | 0.1 |
| 775 | Nick Fiore | Lightweight | 94.3 | 30.6% | 30.3% | 2.8 | 0.2 |
| 776 | Victor Altamirano | Flyweight | 94.2 | 30.5% | 24.3% | 4.2 | 0.2 |
| 777 | Victor Martinez | Lightweight | 94.2 | 30.4% | 29.7% | 4.0 | 0.0 |
| 778 | Shayilan Nuerdanbieke | Featherweight | 94.2 | 30.3% | 29.4% | 2.2 | 0.2 |
| 779 | Antonina Shevchenko | Women's Flyweight | 94.2 | 30.2% | 38.6% | 3.8 | 0.0 |
| 780 | Mike Breeden | Lightweight | 94.1 | 30.1% | 29.0% | 6.6 | 0.1 |
| 781 | Impa Kasanganay | Welterweight | 94.1 | 30.0% | 27.3% | 2.3 | 0.0 |
| 782 | Juancamilo Ronderos | Flyweight | 94.1 | 30.0% | 23.0% | 0.3 | 0.3 |
| 783 | Tony Gravely | Bantamweight | 94.1 | 29.9% | 27.3% | 3.7 | 0.3 |
| 784 | Calvin Kattar | Featherweight | 94.1 | 29.8% | 28.7% | 3.6 | 0.0 |
| 785 | Nick Maximov | Middleweight | 94.1 | 29.7% | 36.5% | 1.8 | 0.3 |
| 786 | Julija Stoliarenko | Women's Flyweight | 94.0 | 29.6% | 36.8% | 3.1 | 0.1 |
| 787 | Anshul Jubli | Lightweight | 94.0 | 29.5% | 28.3% | 6.4 | 0.1 |
| 788 | Brad Katona | Bantamweight | 93.9 | 29.4% | 26.7% | 6.3 | 0.2 |
| 789 | Nikolay Veretennikov | Welterweight | 93.8 | 29.3% | 26.6% | 2.6 | 0.0 |
| 790 | Matthew Semelsberger | Welterweight | 93.8 | 29.2% | 25.9% | 3.0 | 0.1 |
| 791 | Liudvik Sholinian | Bantamweight | 93.8 | 29.1% | 26.0% | 2.5 | 0.0 |
| 792 | Askar Mozharov | Light Heavyweight | 93.8 | 29.1% | 36.4% | 0.4 | 0.0 |
| 793 | Nick Klein | Middleweight | 93.7 | 29.0% | 35.7% | 2.5 | 0.3 |
| 794 | Don Shainis | Featherweight | 93.7 | 28.9% | 28.0% | 3.4 | 0.1 |
| 795 | Francisco Prado | Welterweight | 93.7 | 28.8% | 25.2% | 3.7 | 0.1 |
| 796 | Jessica Penne | Women's Strawweight | 93.7 | 28.7% | 31.5% | 3.2 | 0.0 |
| 797 | Johnny Munoz | Bantamweight | 93.7 | 28.6% | 25.3% | 2.2 | 0.2 |
| 798 | Rafael Alves | Lightweight | 93.6 | 28.5% | 27.6% | 1.7 | 0.0 |
| 799 | Terrance Saeteurn | Flyweight | 93.6 | 28.4% | 21.6% | 3.8 | 0.0 |
| 800 | Gaston Bolanos | Featherweight | 93.6 | 28.3% | 27.3% | 3.9 | 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.