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.
Ivan Erslan
Light Heavyweight
101.5
CCR
Cody Brundage
Middleweight
101.5
CCR
Artur Minev
Lightweight
101.5
CCR
Jack Hermansson
Welterweight
101.5
CCR
Felipe Bunes
Flyweight
101.5
CCR
Angel Pacheco
Bantamweight
101.5
CCR
Ryan Hall
Featherweight
101.4
CCR
Andre Petroski
Middleweight
101.4
CCR
Andrey Pulyaev
Middleweight
101.4
CCR
Rodolfo Vieira
Middleweight
101.3
CCR
Glover Teixeira
Light Heavyweight
101.3
CCR
Zygimantas Ramaska
Featherweight
101.2
CCR
Josh Emmett
Featherweight
101.2
CCR
Montse Rendon
Women's Bantamweight
101.2
CCR
Zhu Kangjie
Featherweight
101.1
CCR
Lucas Brennan
Lightweight
101.1
CCR
AJ Cunningham
Bantamweight
101.0
CCR
Igor Severino
Flyweight
101.0
CCR
Joe Solecki
Lightweight
100.9
CCR
Krzysztof Jotko
Middleweight
100.8
CCR
Tallison Teixeira
Heavyweight
100.8
CCR
Dan Ige
Featherweight
100.7
CCR
Zviad Lazishvili
Bantamweight
100.7
CCR
Blake Bilder
Featherweight
100.7
CCR
Ignacio Bahamondes
Lightweight
100.7
CCR
Isaac Thomson
Featherweight
100.6
CCR
Kyung Ho Kang
Bantamweight
100.6
CCR
Zachary Scroggin
Welterweight
100.5
CCR
Max Gimenis
Heavyweight
100.4
CCR
Conor McGregor
Welterweight
100.4
CCR
Chelsea Chandler
Women's Bantamweight
100.4
CCR
Maycee Barber
Women's Flyweight
100.2
CCR
Carlston Harris
Welterweight
100.2
CCR
Loma Lookboonmee
Women's Strawweight
100.2
CCR
Jamahal Hill
Light Heavyweight
100.1
CCR
Cesar Almeida
Middleweight
100.1
CCR
Clayton Carpenter
Flyweight
100.1
CCR
Yizha
Featherweight
100.1
CCR
Gabe Green
Lightweight
100.1
CCR
Carlos Hernandez
Flyweight
100.0
CCR
Casey Kenney
Bantamweight
99.9
CCR
Gianni Vazquez
Bantamweight
99.9
CCR
Gustavo Lopez
Bantamweight
99.9
CCR
Mitch Ramirez
Lightweight
99.7
CCR
Harry Hardwick
Featherweight
99.7
CCR
Trevor Peek
Lightweight
99.7
CCR
Joanne Wood
Women's Flyweight
99.7
CCR
Bogdan Grad
Featherweight
99.7
CCR
Brian Ortega
Catch Weight
99.7
CCR
Giga Chikadze
Featherweight
99.6
CCR
| Rank | Fighter | Weight class | CCR | Percentile | Percentile per weight class | SLpM | TD / min |
|---|---|---|---|---|---|---|---|
| 551 | Ivan Erslan | Light Heavyweight | 101.5 | 50.7% | 59.7% | 2.5 | 0.1 |
| 552 | Cody Brundage | Middleweight | 101.5 | 50.6% | 52.2% | 2.4 | 0.1 |
| 553 | Artur Minev | Lightweight | 101.5 | 50.5% | 51.0% | 1.0 | 0.0 |
| 554 | Jack Hermansson | Welterweight | 101.5 | 50.4% | 48.2% | 5.6 | 0.0 |
| 555 | Felipe Bunes | Flyweight | 101.5 | 50.3% | 45.9% | 3.2 | 0.1 |
| 556 | Angel Pacheco | Bantamweight | 101.5 | 50.2% | 48.0% | 4.8 | 0.0 |
| 557 | Ryan Hall | Featherweight | 101.4 | 50.1% | 51.0% | 2.7 | 0.0 |
| 558 | Andre Petroski | Middleweight | 101.4 | 50.0% | 51.3% | 2.8 | 0.2 |
| 559 | Andrey Pulyaev | Middleweight | 101.4 | 50.0% | 50.4% | 2.5 | 0.0 |
| 560 | Rodolfo Vieira | Middleweight | 101.3 | 49.9% | 49.6% | 3.8 | 0.1 |
| 561 | Glover Teixeira | Light Heavyweight | 101.3 | 49.8% | 58.4% | 3.6 | 0.2 |
| 562 | Zygimantas Ramaska | Featherweight | 101.2 | 49.7% | 50.3% | 1.0 | 0.0 |
| 563 | Josh Emmett | Featherweight | 101.2 | 49.6% | 49.7% | 3.0 | 0.0 |
| 564 | Montse Rendon | Women's Bantamweight | 101.2 | 49.5% | 44.9% | 3.0 | 0.1 |
| 565 | Zhu Kangjie | Featherweight | 101.1 | 49.4% | 49.0% | 3.8 | 0.0 |
| 566 | Lucas Brennan | Lightweight | 101.1 | 49.3% | 50.3% | 0.6 | 0.0 |
| 567 | AJ Cunningham | Bantamweight | 101.0 | 49.2% | 47.3% | 2.7 | 0.0 |
| 568 | Igor Severino | Flyweight | 101.0 | 49.1% | 44.6% | 4.6 | 0.6 |
| 569 | Joe Solecki | Lightweight | 100.9 | 49.1% | 49.7% | 1.6 | 0.1 |
| 570 | Krzysztof Jotko | Middleweight | 100.8 | 49.0% | 48.7% | 3.2 | 0.1 |
| 571 | Tallison Teixeira | Heavyweight | 100.8 | 48.9% | 47.4% | 3.7 | 0.2 |
| 572 | Dan Ige | Featherweight | 100.7 | 48.8% | 48.3% | 3.4 | 0.0 |
| 573 | Zviad Lazishvili | Bantamweight | 100.7 | 48.7% | 46.7% | 4.2 | 0.0 |
| 574 | Blake Bilder | Featherweight | 100.7 | 48.6% | 47.6% | 3.9 | 0.0 |
| 575 | Ignacio Bahamondes | Lightweight | 100.7 | 48.5% | 49.0% | 5.5 | 0.0 |
| 576 | Isaac Thomson | Featherweight | 100.6 | 48.4% | 46.9% | 1.4 | 0.3 |
| 577 | Kyung Ho Kang | Bantamweight | 100.6 | 48.3% | 46.0% | 4.2 | 0.1 |
| 578 | Zachary Scroggin | Welterweight | 100.5 | 48.3% | 47.5% | 2.4 | 0.0 |
| 579 | Max Gimenis | Heavyweight | 100.4 | 48.2% | 46.1% | 3.2 | 0.0 |
| 580 | Conor McGregor | Welterweight | 100.4 | 48.1% | 46.8% | 0.0 | 0.0 |
| 581 | Chelsea Chandler | Women's Bantamweight | 100.4 | 48.0% | 42.9% | 3.5 | 0.1 |
| 582 | Maycee Barber | Women's Flyweight | 100.2 | 47.9% | 57.9% | 4.2 | 0.1 |
| 583 | Carlston Harris | Welterweight | 100.2 | 47.8% | 46.0% | 3.4 | 0.1 |
| 584 | Loma Lookboonmee | Women's Strawweight | 100.2 | 47.7% | 53.4% | 2.4 | 0.1 |
| 585 | Jamahal Hill | Light Heavyweight | 100.1 | 47.6% | 57.1% | 5.6 | 0.0 |
| 586 | Cesar Almeida | Middleweight | 100.1 | 47.5% | 47.8% | 3.5 | 0.0 |
| 587 | Clayton Carpenter | Flyweight | 100.1 | 47.4% | 43.2% | 3.4 | 0.1 |
| 588 | Yizha | Featherweight | 100.1 | 47.4% | 46.2% | 3.2 | 0.2 |
| 589 | Gabe Green | Lightweight | 100.1 | 47.3% | 48.3% | 4.7 | 0.0 |
| 590 | Carlos Hernandez | Flyweight | 100.0 | 47.2% | 41.9% | 3.6 | 0.1 |
| 591 | Casey Kenney | Bantamweight | 99.9 | 47.1% | 45.3% | 5.2 | 0.1 |
| 592 | Gianni Vazquez | Bantamweight | 99.9 | 47.0% | 44.7% | 1.6 | 0.0 |
| 593 | Gustavo Lopez | Bantamweight | 99.9 | 46.9% | 44.0% | 2.9 | 0.2 |
| 594 | Mitch Ramirez | Lightweight | 99.7 | 46.8% | 47.6% | 3.5 | 0.0 |
| 595 | Harry Hardwick | Featherweight | 99.7 | 46.7% | 45.5% | 5.5 | 0.0 |
| 596 | Trevor Peek | Lightweight | 99.7 | 46.6% | 46.9% | 4.1 | 0.1 |
| 597 | Joanne Wood | Women's Flyweight | 99.7 | 46.5% | 56.1% | 8.5 | 0.1 |
| 598 | Bogdan Grad | Featherweight | 99.7 | 46.5% | 44.8% | 2.8 | 0.3 |
| 599 | Brian Ortega | Catch Weight | 99.7 | 46.4% | 50.0% | 3.2 | 0.1 |
| 600 | Giga Chikadze | Featherweight | 99.6 | 46.3% | 44.1% | 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.