SLpM
Significant strikes landed per minute
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.
Leaderboards
Sort by career or current TSR, or by striking and grappling rates from the last five years of round stats.

Conor McGregor
Welterweight
130.6
Career TSR

Reinier de Ridder
Middleweight
130.5
Career TSR
Nathaniel Wood
Featherweight
130.4
Career TSR

Sean Woodson
Featherweight
130.4
Career TSR
Robert Whittaker
Light Heavyweight
130.4
Career TSR

Charles Jourdain
Bantamweight
130.3
Career TSR

Manel Kape
Flyweight
130.2
Career TSR

Aiemann Zahabi
Bantamweight
130.1
Career TSR

Deiveson Figueiredo
Bantamweight
129.7
Career TSR

Bryce Mitchell
Bantamweight
129.6
Career TSR

Mackenzie Dern
Women's Strawweight
129.6
Career TSR

Jalin Turner
Lightweight
129.5
Career TSR

Joaquin Buckley
Welterweight
129.4
Career TSR

King Green
Lightweight
129.4
Career TSR

Ailin Perez
Women's Bantamweight
129.2
Career TSR

Manuel Torres
Lightweight
128.6
Career TSR

Maycee Barber
Women's Flyweight
128.5
Career TSR

Paulo Costa
Light Heavyweight
128.4
Career TSR

Youssef Zalal
Featherweight
128.3
Career TSR

Denise Gomes
Women's Strawweight
128.2
Career TSR

Ikram Aliskerov
Middleweight
127.9
Career TSR

Jailton Almeida
Heavyweight
127.9
Career TSR

Serghei Spivac
Heavyweight
127.8
Career TSR

Yaroslav Amosov
Welterweight
127.6
Career TSR

Joel Alvarez
Welterweight
127.5
Career TSR
Demian Maia
Welterweight
127.4
Career TSR

Drakkar Klose
Lightweight
127.4
Career TSR

Vinicius Oliveira
Bantamweight
127.1
Career TSR

Ricky Simon
Bantamweight
127.0
Career TSR

Kevin Vallejos
Featherweight
126.9
Career TSR

Montel Jackson
Bantamweight
126.9
Career TSR

Ludovit Klein
Lightweight
126.8
Career TSR

Kevin Holland
Welterweight
126.7
Career TSR

Asu Almabayev
Flyweight
126.6
Career TSR

Randy Brown
Welterweight
126.6
Career TSR

Rafa Garcia
Lightweight
126.5
Career TSR
Francisco Trinaldo
Welterweight
126.5
Career TSR

Roman Dolidze
Middleweight
126.4
Career TSR

Casey O'Neill
Women's Flyweight
126.4
Career TSR

Luana Santos
Women's Bantamweight
126.3
Career TSR

Gilbert Burns
Welterweight
126.1
Career TSR

Bo Nickal
Middleweight
126.1
Career TSR
Jorge Masvidal
Welterweight
126.0
Career TSR

Bogdan Guskov
Light Heavyweight
125.7
Career TSR

Julianna Pena
Women's Bantamweight
125.6
Career TSR

Nikita Krylov
Light Heavyweight
125.6
Career TSR

Raquel Pennington
Women's Bantamweight
125.5
Career TSR

Derrick Lewis
Heavyweight
125.5
Career TSR

Yair Rodriguez
Featherweight
125.4
Career TSR

Chris Duncan
Lightweight
125.4
Career TSR
| Rank | Fighter | Weight class | Career TSR | Percentile | Percentile per weight class | SLpM | TD / min |
|---|---|---|---|---|---|---|---|
| 101 | Conor McGregor | Welterweight | 130.6 | 91.0% | 87.1% | 5.4 | 0.0 |
| 102 | Reinier de Ridder | Middleweight | 130.5 | 91.0% | 90.5% | 2.5 | 0.2 |
| 103 | Featherweight | 130.4 | 90.9% | 93.5% | 5.3 | 0.1 | |
| 104 | Sean Woodson | Featherweight | 130.4 | 90.9% | 93.5% | 5.3 | 0.1 |
| 105 | Light Heavyweight | 130.4 | 90.7% | 90.7% | 3.7 | 0.1 | |
| 106 | Charles Jourdain | Bantamweight | 130.3 | 90.6% | 91.3% | 5.7 | 0.0 |
| 107 | Manel Kape | Flyweight | 130.2 | 90.5% | 93.6% | 5.5 | 0.0 |
| 108 | Aiemann Zahabi | Bantamweight | 130.1 | 90.4% | 90.6% | 5.6 | 0.0 |
| 109 | Deiveson Figueiredo | Bantamweight | 129.7 | 90.3% | 89.9% | 2.1 | 0.1 |
| 110 | Bryce Mitchell | Bantamweight | 129.6 | 90.2% | 89.3% | 2.3 | 0.2 |
| 111 | Mackenzie Dern | Women's Strawweight | 129.6 | 90.2% | 95.8% | 3.4 | 0.1 |
| 112 | Jalin Turner | Lightweight | 129.5 | 90.1% | 91.8% | 5.5 | 0.1 |
| 113 | Joaquin Buckley | Welterweight | 129.4 | 90.0% | 86.4% | 3.5 | 0.1 |
| 114 | King Green | Lightweight | 129.4 | 89.9% | 91.1% | 8.9 | 0.1 |
| 115 | Ailin Perez | Women's Bantamweight | 129.2 | 89.8% | 91.8% | 2.9 | 0.3 |
| 116 | Manuel Torres | Lightweight | 128.6 | 89.7% | 90.4% | 6.7 | 0.1 |
| 117 | Maycee Barber | Women's Flyweight | 128.5 | 89.6% | 86.7% | 4.2 | 0.1 |
| 118 | Paulo Costa | Light Heavyweight | 128.4 | 89.5% | 89.3% | 5.8 | 0.0 |
| 119 | Youssef Zalal | Featherweight | 128.3 | 89.4% | 92.0% | 3.1 | 0.1 |
| 120 | Denise Gomes | Women's Strawweight | 128.2 | 89.3% | 94.4% | 4.0 | 0.1 |
| 121 | Ikram Aliskerov | Middleweight | 127.9 | 89.3% | 89.7% | 7.2 | 0.2 |
| 122 | Jailton Almeida | Heavyweight | 127.9 | 89.2% | 87.2% | 2.4 | 0.4 |
| 123 | Serghei Spivac | Heavyweight | 127.8 | 89.1% | 85.9% | 3.6 | 0.3 |
| 124 | Yaroslav Amosov | Welterweight | 127.6 | 89.0% | 85.7% | 2.6 | 0.7 |
| 125 | Joel Alvarez | Welterweight | 127.5 | 88.9% | 85.0% | 5.3 | 0.0 |
| 126 | Welterweight | 127.4 | 88.8% | 84.3% | 1.4 | 0.1 | |
| 127 | Drakkar Klose | Lightweight | 127.4 | 88.7% | 89.7% | 4.9 | 0.1 |
| 128 | Vinicius Oliveira | Bantamweight | 127.1 | 88.6% | 88.6% | 4.5 | 0.1 |
| 129 | Ricky Simon | Bantamweight | 127.0 | 88.5% | 87.9% | 3.0 | 0.1 |
| 130 | Kevin Vallejos | Featherweight | 126.9 | 88.5% | 91.3% | 5.7 | 0.1 |
| 131 | Montel Jackson | Bantamweight | 126.9 | 88.4% | 87.2% | 2.3 | 0.1 |
| 132 | Ludovit Klein | Lightweight | 126.8 | 88.3% | 89.0% | 3.8 | 0.1 |
| 133 | Kevin Holland | Welterweight | 126.7 | 88.2% | 83.6% | 4.8 | 0.0 |
| 134 | Asu Almabayev | Flyweight | 126.6 | 88.1% | 92.3% | 2.3 | 0.3 |
| 135 | Randy Brown | Welterweight | 126.6 | 88.0% | 82.9% | 5.0 | 0.0 |
| 136 | Rafa Garcia | Lightweight | 126.5 | 87.9% | 88.4% | 4.4 | 0.2 |
| 137 | Welterweight | 126.5 | 87.8% | 82.1% | 3.3 | 0.0 | |
| 138 | Roman Dolidze | Middleweight | 126.4 | 87.7% | 88.8% | 3.2 | 0.1 |
| 139 | Casey O'Neill | Women's Flyweight | 126.4 | 87.6% | 85.0% | 8.1 | 0.1 |
| 140 | Luana Santos | Women's Bantamweight | 126.3 | 87.6% | 89.8% | 3.0 | 0.1 |
| 141 | Gilbert Burns | Welterweight | 126.1 | 87.5% | 81.4% | 3.1 | 0.1 |
| 142 | Bo Nickal | Middleweight | 126.1 | 87.4% | 87.9% | 3.3 | 0.2 |
| 143 | Welterweight | 126.0 | 87.3% | 80.7% | 2.7 | 0.0 | |
| 144 | Bogdan Guskov | Light Heavyweight | 125.7 | 87.2% | 88.0% | 4.6 | 0.0 |
| 145 | Julianna Pena | Women's Bantamweight | 125.6 | 87.1% | 87.8% | 3.5 | 0.0 |
| 146 | Nikita Krylov | Light Heavyweight | 125.6 | 87.0% | 86.7% | 4.4 | 0.2 |
| 147 | Raquel Pennington | Women's Bantamweight | 125.5 | 86.9% | 85.7% | 5.0 | 0.0 |
| 148 | Derrick Lewis | Heavyweight | 125.5 | 86.8% | 84.6% | 2.1 | 0.0 |
| 149 | Yair Rodriguez | Featherweight | 125.4 | 86.8% | 90.6% | 5.2 | 0.0 |
| 150 | Chris Duncan | Lightweight | 125.4 | 86.7% | 87.7% | 4.6 | 0.2 |
Analytics guide
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.
cTSR%
What it calculates
Current TSR ranked vs field (percentile)
Why it matters
Fast snapshot of where a fighter stands right now relative to peers, useful for form and current-level comparisons.
TSR%
What it calculates
Career TSR ranked vs field (percentile)
Why it matters
Measures long-run strength relative to peers — helpful for separating sustained elite careers from short hot streaks.