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.
Silvana Gomez Juarez
Women's Strawweight
90.2
CCR
Dennis Buzukja
Featherweight
90.2
CCR
Brendon Marotte
Featherweight
90.2
CCR
Maria Oliveira
Women's Strawweight
90.1
CCR
Molly McCann
Women's Strawweight
90.1
CCR
Brad Tavares
Middleweight
90.0
CCR
Gloria de Paula
Women's Strawweight
90.0
CCR
Nick Diaz
Middleweight
90.0
CCR
Hannah Goldy
Women's Strawweight
89.9
CCR
Gadzhi Omargadzhiev
Welterweight
89.9
CCR
Gaetano Pirrello
Bantamweight
89.9
CCR
Shauna Bannon
Women's Strawweight
89.9
CCR
Rogerio Bontorin
Flyweight
89.8
CCR
Jessica Eye
Women's Flyweight
89.8
CCR
Terrence Mitchell
Bantamweight
89.8
CCR
Blagoy Ivanov
Heavyweight
89.8
CCR
Tamires Vidal
Women's Bantamweight
89.7
CCR
Darren Till
Middleweight
89.6
CCR
Stewart Nicoll
Flyweight
89.6
CCR
Mickey Gall
Welterweight
89.6
CCR
Jimmy Flick
Flyweight
89.6
CCR
Matt Schnell
Catch Weight
89.5
CCR
Yusaku Kinoshita
Welterweight
89.5
CCR
Josiane Nunes
Women's Bantamweight
89.5
CCR
Gavin Tucker
Featherweight
89.4
CCR
Louis Smolka
Bantamweight
89.4
CCR
Jordan Williams
Welterweight
89.3
CCR
Ashley Yoder
Women's Strawweight
89.3
CCR
Damir Hadzovic
Lightweight
89.2
CCR
Ramona Pascual
Women's Bantamweight
89.2
CCR
Polyana Viana
Women's Strawweight
89.1
CCR
Jason Witt
Catch Weight
89.1
CCR
Randa Markos
Women's Strawweight
89.0
CCR
Pete Rodriguez
Welterweight
89.0
CCR
Gabriel Benitez
Lightweight
89.0
CCR
Cortney Casey
Women's Flyweight
89.0
CCR
William Knight
Light Heavyweight
88.9
CCR
Jinh Yu Frey
Women's Strawweight
88.9
CCR
Al Iaquinta
Lightweight
88.9
CCR
Luis Gurule
Bantamweight
88.8
CCR
Darrick Minner
Featherweight
88.8
CCR
Daniel Barez
Flyweight
88.7
CCR
Micheal Gillmore
Welterweight
88.6
CCR
Danilo Marques
Light Heavyweight
88.5
CCR
Zach Reese
Middleweight
88.5
CCR
Cameron Else
Bantamweight
88.5
CCR
Gilbert Urbina
Middleweight
88.4
CCR
Danny Roberts
Welterweight
88.4
CCR
Shanna Young
Women's Flyweight
88.4
CCR
Orion Cosce
Welterweight
88.4
CCR
| Rank | Fighter | Weight class | CCR | Percentile | Percentile per weight class | SLpM | TD / min |
|---|---|---|---|---|---|---|---|
| 901 | Silvana Gomez Juarez | Women's Strawweight | 90.2 | 19.3% | 24.7% | 4.3 | 0.0 |
| 902 | Dennis Buzukja | Featherweight | 90.2 | 19.2% | 16.1% | 4.7 | 0.0 |
| 903 | Brendon Marotte | Featherweight | 90.2 | 19.1% | 15.4% | 0.4 | 0.0 |
| 904 | Maria Oliveira | Women's Strawweight | 90.1 | 19.0% | 23.3% | 5.2 | 0.1 |
| 905 | Molly McCann | Women's Strawweight | 90.1 | 18.9% | 21.9% | 5.5 | 0.1 |
| 906 | Brad Tavares | Middleweight | 90.0 | 18.8% | 27.0% | 4.0 | 0.0 |
| 907 | Gloria de Paula | Women's Strawweight | 90.0 | 18.7% | 20.5% | 6.4 | 0.1 |
| 908 | Nick Diaz | Middleweight | 90.0 | 18.7% | 26.1% | 14.0 | 0.0 |
| 909 | Hannah Goldy | Women's Strawweight | 89.9 | 18.6% | 19.2% | 4.1 | 0.1 |
| 910 | Gadzhi Omargadzhiev | Welterweight | 89.9 | 18.5% | 17.3% | 1.7 | 0.1 |
| 911 | Gaetano Pirrello | Bantamweight | 89.9 | 18.4% | 15.3% | 2.4 | 0.0 |
| 912 | Shauna Bannon | Women's Strawweight | 89.9 | 18.3% | 17.8% | 3.8 | 0.0 |
| 913 | Rogerio Bontorin | Flyweight | 89.8 | 18.2% | 14.9% | 1.9 | 0.5 |
| 914 | Jessica Eye | Women's Flyweight | 89.8 | 18.1% | 21.1% | 2.3 | 0.1 |
| 915 | Terrence Mitchell | Bantamweight | 89.8 | 18.0% | 14.7% | 2.2 | 0.2 |
| 916 | Blagoy Ivanov | Heavyweight | 89.8 | 17.9% | 25.0% | 3.1 | 0.0 |
| 917 | Tamires Vidal | Women's Bantamweight | 89.7 | 17.8% | 18.4% | 2.9 | 0.0 |
| 918 | Darren Till | Middleweight | 89.6 | 17.8% | 25.2% | 2.4 | 0.0 |
| 919 | Stewart Nicoll | Flyweight | 89.6 | 17.7% | 13.5% | 3.6 | 0.1 |
| 920 | Mickey Gall | Welterweight | 89.6 | 17.6% | 16.5% | 5.1 | 0.1 |
| 921 | Jimmy Flick | Flyweight | 89.6 | 17.5% | 12.2% | 1.6 | 0.2 |
| 922 | Matt Schnell | Catch Weight | 89.5 | 17.4% | 28.6% | 3.8 | 0.1 |
| 923 | Yusaku Kinoshita | Welterweight | 89.5 | 17.3% | 15.8% | 3.2 | 0.0 |
| 924 | Josiane Nunes | Women's Bantamweight | 89.5 | 17.2% | 16.3% | 5.6 | 0.0 |
| 925 | Gavin Tucker | Featherweight | 89.4 | 17.1% | 14.7% | 0.0 | 0.6 |
| 926 | Louis Smolka | Bantamweight | 89.4 | 17.0% | 14.0% | 7.3 | 0.0 |
| 927 | Jordan Williams | Welterweight | 89.3 | 17.0% | 15.1% | 4.4 | 0.1 |
| 928 | Ashley Yoder | Women's Strawweight | 89.3 | 16.9% | 16.4% | 6.4 | 0.0 |
| 929 | Damir Hadzovic | Lightweight | 89.2 | 16.8% | 15.2% | 0.5 | 0.1 |
| 930 | Ramona Pascual | Women's Bantamweight | 89.2 | 16.7% | 14.3% | 3.9 | 0.1 |
| 931 | Polyana Viana | Women's Strawweight | 89.1 | 16.6% | 15.1% | 2.1 | 0.0 |
| 932 | Jason Witt | Catch Weight | 89.1 | 16.5% | 21.4% | 1.8 | 0.5 |
| 933 | Randa Markos | Women's Strawweight | 89.0 | 16.4% | 13.7% | 4.3 | 0.0 |
| 934 | Pete Rodriguez | Welterweight | 89.0 | 16.3% | 14.4% | 9.3 | 0.0 |
| 935 | Gabriel Benitez | Lightweight | 89.0 | 16.2% | 14.5% | 6.8 | 0.0 |
| 936 | Cortney Casey | Women's Flyweight | 89.0 | 16.1% | 19.3% | 4.1 | 0.1 |
| 937 | William Knight | Light Heavyweight | 88.9 | 16.1% | 23.4% | 1.9 | 0.1 |
| 938 | Jinh Yu Frey | Women's Strawweight | 88.9 | 16.0% | 12.3% | 3.8 | 0.1 |
| 939 | Al Iaquinta | Lightweight | 88.9 | 15.9% | 13.8% | 4.1 | 0.0 |
| 940 | Luis Gurule | Bantamweight | 88.8 | 15.8% | 13.3% | 5.0 | 0.1 |
| 941 | Darrick Minner | Featherweight | 88.8 | 15.7% | 14.0% | 2.0 | 0.1 |
| 942 | Daniel Barez | Flyweight | 88.7 | 15.6% | 10.8% | 5.0 | 0.0 |
| 943 | Micheal Gillmore | Welterweight | 88.6 | 15.5% | 13.7% | 2.0 | 0.0 |
| 944 | Danilo Marques | Light Heavyweight | 88.5 | 15.4% | 22.1% | 0.0 | 0.0 |
| 945 | Zach Reese | Middleweight | 88.5 | 15.3% | 24.3% | 4.4 | 0.2 |
| 946 | Cameron Else | Bantamweight | 88.5 | 15.2% | 12.7% | 2.1 | 0.0 |
| 947 | Gilbert Urbina | Middleweight | 88.4 | 15.2% | 23.5% | 5.6 | 0.2 |
| 948 | Danny Roberts | Welterweight | 88.4 | 15.1% | 12.9% | 2.7 | 0.0 |
| 949 | Shanna Young | Women's Flyweight | 88.4 | 15.0% | 17.5% | 3.3 | 0.0 |
| 950 | Orion Cosce | Welterweight | 88.4 | 14.9% | 12.2% | 2.0 | 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.