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.
Sodiq Yusuff
Lightweight
96.6
CCR
Marina Rodriguez
Women's Strawweight
96.6
CCR
Tyson Nam
Flyweight
96.6
CCR
Dean Barry
Welterweight
96.6
CCR
Carlos Mota
Flyweight
96.6
CCR
Chad Anheliger
Bantamweight
96.6
CCR
Steven Koslow
Bantamweight
96.6
CCR
Sijara Eubanks
Women's Flyweight
96.4
CCR
Joshua Weems
Bantamweight
96.4
CCR
Mana Martinez
Bantamweight
96.4
CCR
Robelis Despaigne
Heavyweight
96.3
CCR
Claudio Puelles
Lightweight
96.3
CCR
Neil Magny
Welterweight
96.3
CCR
Daniel Zellhuber
Lightweight
96.2
CCR
Rayanne dos Santos
Women's Strawweight
96.2
CCR
Brogan Walker
Women's Flyweight
96.2
CCR
Luis Pajuelo
Featherweight
96.1
CCR
Azamat Bekoev
Middleweight
96.1
CCR
Nina Nunes
Women's Flyweight
96.1
CCR
Jack Shore
Featherweight
96.1
CCR
Dusko Todorovic
Middleweight
96.0
CCR
Ryan Loder
Middleweight
96.0
CCR
Bill Algeo
Featherweight
96.0
CCR
Mateusz Rebecki
Lightweight
96.0
CCR
Tristan Connelly
Featherweight
96.0
CCR
Themba Gorimbo
Welterweight
95.9
CCR
Ode Osbourne
Flyweight
95.9
CCR
Abdul Razak Alhassan
Middleweight
95.8
CCR
Mayra Bueno Silva
Women's Bantamweight
95.8
CCR
Elisha Ellison
Heavyweight
95.7
CCR
Daniel Pineda
Featherweight
95.7
CCR
Holly Holm
Women's Bantamweight
95.7
CCR
Claudio Silva
Welterweight
95.6
CCR
Aspen Ladd
Women's Bantamweight
95.6
CCR
Drako Rodriguez
Bantamweight
95.6
CCR
Alibi Idiris
Flyweight
95.6
CCR
Ed Herman
Light Heavyweight
95.6
CCR
Adam Fugitt
Welterweight
95.6
CCR
Guilherme Pat
Heavyweight
95.5
CCR
Ariane Carnelossi
Women's Strawweight
95.5
CCR
Hakeem Dawodu
Featherweight
95.5
CCR
Andre Muniz
Middleweight
95.5
CCR
Domingo Pilarte
Bantamweight
95.4
CCR
Thiago Moises
Lightweight
95.4
CCR
Vince Morales
Bantamweight
95.4
CCR
Chan Sung Jung
Featherweight
95.4
CCR
James Llontop
Catch Weight
95.4
CCR
David Zawada
Welterweight
95.3
CCR
Yuneisy Duben
Women's Flyweight
95.3
CCR
Michael Chandler
Lightweight
95.2
CCR
| Rank | Fighter | Weight class | CCR | Percentile | Percentile per weight class | SLpM | TD / min |
|---|---|---|---|---|---|---|---|
| 701 | Sodiq Yusuff | Lightweight | 96.6 | 37.2% | 36.6% | 5.1 | 0.1 |
| 702 | Marina Rodriguez | Women's Strawweight | 96.6 | 37.1% | 39.7% | 4.1 | 0.0 |
| 703 | Tyson Nam | Flyweight | 96.6 | 37.0% | 32.4% | 4.4 | 0.0 |
| 704 | Dean Barry | Welterweight | 96.6 | 37.0% | 34.5% | 9.3 | 0.0 |
| 705 | Carlos Mota | Flyweight | 96.6 | 36.9% | 31.1% | 0.8 | 0.0 |
| 706 | Chad Anheliger | Bantamweight | 96.6 | 36.8% | 34.0% | 3.1 | 0.1 |
| 707 | Steven Koslow | Bantamweight | 96.6 | 36.7% | 33.3% | 0.8 | 0.4 |
| 708 | Sijara Eubanks | Women's Flyweight | 96.4 | 36.6% | 45.6% | 2.5 | 0.1 |
| 709 | Joshua Weems | Bantamweight | 96.4 | 36.5% | 32.7% | 4.4 | 0.5 |
| 710 | Mana Martinez | Bantamweight | 96.4 | 36.4% | 32.0% | 4.4 | 0.1 |
| 711 | Robelis Despaigne | Heavyweight | 96.3 | 36.3% | 34.2% | 2.1 | 0.0 |
| 712 | Claudio Puelles | Lightweight | 96.3 | 36.2% | 35.9% | 1.3 | 0.2 |
| 713 | Neil Magny | Welterweight | 96.3 | 36.1% | 33.8% | 2.7 | 0.1 |
| 714 | Daniel Zellhuber | Lightweight | 96.2 | 36.1% | 35.2% | 5.1 | 0.0 |
| 715 | Rayanne dos Santos | Women's Strawweight | 96.2 | 36.0% | 38.4% | 4.9 | 0.0 |
| 716 | Brogan Walker | Women's Flyweight | 96.2 | 35.9% | 43.9% | 1.8 | 0.1 |
| 717 | Luis Pajuelo | Featherweight | 96.1 | 35.8% | 37.1% | 1.8 | 0.0 |
| 718 | Azamat Bekoev | Middleweight | 96.1 | 35.7% | 41.7% | 4.6 | 0.2 |
| 719 | Nina Nunes | Women's Flyweight | 96.1 | 35.6% | 42.1% | 2.6 | 0.0 |
| 720 | Jack Shore | Featherweight | 96.1 | 35.5% | 36.4% | 3.9 | 0.1 |
| 721 | Dusko Todorovic | Middleweight | 96.0 | 35.4% | 40.9% | 3.7 | 0.2 |
| 722 | Ryan Loder | Middleweight | 96.0 | 35.3% | 40.0% | 5.1 | 0.1 |
| 723 | Bill Algeo | Featherweight | 96.0 | 35.2% | 35.7% | 5.5 | 0.1 |
| 724 | Mateusz Rebecki | Lightweight | 96.0 | 35.2% | 34.5% | 4.9 | 0.2 |
| 725 | Tristan Connelly | Featherweight | 96.0 | 35.1% | 35.0% | 4.4 | 0.0 |
| 726 | Themba Gorimbo | Welterweight | 95.9 | 35.0% | 33.1% | 2.7 | 0.3 |
| 727 | Ode Osbourne | Flyweight | 95.9 | 34.9% | 29.7% | 2.8 | 0.1 |
| 728 | Abdul Razak Alhassan | Middleweight | 95.8 | 34.8% | 39.1% | 3.5 | 0.1 |
| 729 | Mayra Bueno Silva | Women's Bantamweight | 95.8 | 34.7% | 38.8% | 3.4 | 0.0 |
| 730 | Elisha Ellison | Heavyweight | 95.7 | 34.6% | 32.9% | 3.6 | 0.0 |
| 731 | Daniel Pineda | Featherweight | 95.7 | 34.5% | 34.3% | 2.2 | 0.1 |
| 732 | Holly Holm | Women's Bantamweight | 95.7 | 34.4% | 36.7% | 3.0 | 0.1 |
| 733 | Claudio Silva | Welterweight | 95.6 | 34.3% | 32.4% | 0.7 | 0.3 |
| 734 | Aspen Ladd | Women's Bantamweight | 95.6 | 34.3% | 34.7% | 2.5 | 0.1 |
| 735 | Drako Rodriguez | Bantamweight | 95.6 | 34.2% | 31.3% | 3.7 | 0.2 |
| 736 | Alibi Idiris | Flyweight | 95.6 | 34.1% | 28.4% | 2.5 | 0.2 |
| 737 | Ed Herman | Light Heavyweight | 95.6 | 34.0% | 41.6% | 3.3 | 0.0 |
| 738 | Adam Fugitt | Welterweight | 95.6 | 33.9% | 31.7% | 4.9 | 0.1 |
| 739 | Guilherme Pat | Heavyweight | 95.5 | 33.8% | 31.6% | 2.7 | 0.0 |
| 740 | Ariane Carnelossi | Women's Strawweight | 95.5 | 33.7% | 37.0% | 1.8 | 0.1 |
| 741 | Hakeem Dawodu | Featherweight | 95.5 | 33.6% | 33.6% | 6.9 | 0.0 |
| 742 | Andre Muniz | Middleweight | 95.5 | 33.5% | 38.3% | 2.0 | 0.3 |
| 743 | Domingo Pilarte | Bantamweight | 95.4 | 33.5% | 30.7% | 0.2 | 0.0 |
| 744 | Thiago Moises | Lightweight | 95.4 | 33.4% | 33.8% | 2.2 | 0.1 |
| 745 | Vince Morales | Bantamweight | 95.4 | 33.3% | 30.0% | 3.1 | 0.1 |
| 746 | Chan Sung Jung | Featherweight | 95.4 | 33.2% | 32.9% | 3.1 | 0.0 |
| 747 | James Llontop | Catch Weight | 95.4 | 33.1% | 35.7% | 5.8 | 0.0 |
| 748 | David Zawada | Welterweight | 95.3 | 33.0% | 30.9% | 5.7 | 0.1 |
| 749 | Yuneisy Duben | Women's Flyweight | 95.3 | 32.9% | 40.4% | 4.6 | 0.1 |
| 750 | Michael Chandler | Lightweight | 95.2 | 32.8% | 33.1% | 3.6 | 0.1 |
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.