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.

Islam Makhachev
Welterweight
185.4
Career TSR

Arman Tsarukyan
Lightweight
163.2
Career TSR
Francis Ngannou
Heavyweight
163.1
Career TSR

Merab Dvalishvili
Bantamweight
163.1
Career TSR

Jon Jones
Heavyweight
163.0
Career TSR

Khamzat Chimaev
Middleweight
162.9
Career TSR

Ilia Topuria
Lightweight
160.5
Career TSR

Tom Aspinall
Heavyweight
160.4
Career TSR

Charles Oliveira
Lightweight
160.4
Career TSR

Alex Pereira
Heavyweight
159.4
Career TSR

Valentina Shevchenko
Women's Flyweight
158.8
Career TSR

Amanda Nunes
Women's Bantamweight
158.3
Career TSR

Movsar Evloev
Featherweight
157.2
Career TSR

Aljamain Sterling
Featherweight
157.1
Career TSR

Alexander Volkanovski
Featherweight
157.0
Career TSR

Shavkat Rakhmonov
Welterweight
154.7
Career TSR

Kamaru Usman
Welterweight
154.4
Career TSR

Carlos Ulberg
Light Heavyweight
154.2
Career TSR

Ciryl Gane
Heavyweight
153.1
Career TSR

Alexander Volkov
Heavyweight
153.0
Career TSR

Belal Muhammad
Welterweight
152.6
Career TSR
Michael Morales
Welterweight
152.6
Career TSR

Dricus Du Plessis
Middleweight
152.6
Career TSR

Sean Brady
Welterweight
152.5
Career TSR

Sean Strickland
Middleweight
152.5
Career TSR

Umar Nurmagomedov
Bantamweight
152.0
Career TSR

Zhang Weili
Women's Flyweight
150.0
Career TSR

Tatiana Suarez
Women's Strawweight
149.9
Career TSR

Benoit Saint Denis
Lightweight
149.8
Career TSR

Manon Fiorot
Women's Flyweight
147.1
Career TSR

Erin Blanchfield
Women's Flyweight
147.0
Career TSR

Joshua Van
Flyweight
146.4
Career TSR

Colby Covington
Welterweight
146.0
Career TSR

Anthony Hernandez
Middleweight
145.8
Career TSR

Max Holloway
Welterweight
145.6
Career TSR

Justin Gaethje
Lightweight
145.5
Career TSR
Sean O'Malley
Bantamweight
144.0
Career TSR

Petr Yan
Bantamweight
143.9
Career TSR

Cory Sandhagen
Bantamweight
143.8
Career TSR

Ian Machado Garry
Welterweight
143.7
Career TSR

Magomed Ankalaev
Light Heavyweight
143.6
Career TSR

Carlos Prates
Welterweight
143.6
Career TSR

Nassourdine Imavov
Middleweight
143.5
Career TSR

Brendan Allen
Middleweight
143.4
Career TSR
Diego Lopes
Featherweight
142.8
Career TSR

Pat Sabatini
Featherweight
142.7
Career TSR

Grant Dawson
Lightweight
142.3
Career TSR

Alexandre Pantoja
Flyweight
142.3
Career TSR

Virna Jandiroba
Women's Strawweight
141.9
Career TSR

Sergei Pavlovich
Heavyweight
141.7
Career TSR
| Rank | Fighter | Weight class | Career TSR | Percentile | Percentile per weight class | SLpM | TD / min |
|---|---|---|---|---|---|---|---|
| 1 | Islam Makhachev | Welterweight | 185.4 | 100.0% | 100.0% | 2.8 | 0.2 |
| 2 | Arman Tsarukyan | Lightweight | 163.2 | 99.9% | 100.0% | 4.2 | 0.2 |
| 3 | Heavyweight | 163.1 | 99.8% | 100.0% | 1.7 | 0.2 | |
| 4 | Merab Dvalishvili | Bantamweight | 163.1 | 99.7% | 100.0% | 4.7 | 0.3 |
| 5 | Jon Jones | Heavyweight | 163.0 | 99.6% | 98.7% | 6.1 | 0.2 |
| 6 | Khamzat Chimaev | Middleweight | 162.9 | 99.6% | 100.0% | 3.5 | 0.4 |
| 7 | Ilia Topuria | Lightweight | 160.5 | 99.5% | 99.3% | 5.4 | 0.1 |
| 8 | Tom Aspinall | Heavyweight | 160.4 | 99.4% | 97.4% | 7.8 | 0.1 |
| 9 | Charles Oliveira | Lightweight | 160.4 | 99.3% | 98.6% | 3.2 | 0.1 |
| 10 | Alex Pereira | Heavyweight | 159.4 | 99.2% | 96.2% | 5.2 | 0.0 |
| 11 | Valentina Shevchenko | Women's Flyweight | 158.8 | 99.1% | 100.0% | 3.1 | 0.2 |
| 12 | Amanda Nunes | Women's Bantamweight | 158.3 | 99.0% | 100.0% | 4.7 | 0.2 |
| 13 | Movsar Evloev | Featherweight | 157.2 | 98.9% | 100.0% | 3.4 | 0.4 |
| 14 | Aljamain Sterling | Featherweight | 157.1 | 98.8% | 99.3% | 3.5 | 0.2 |
| 15 | Alexander Volkanovski | Featherweight | 157.0 | 98.7% | 98.6% | 6.0 | 0.1 |
| 16 | Shavkat Rakhmonov | Welterweight | 154.7 | 98.7% | 99.3% | 3.3 | 0.1 |
| 17 | Kamaru Usman | Welterweight | 154.4 | 98.6% | 98.6% | 3.2 | 0.1 |
| 18 | Carlos Ulberg | Light Heavyweight | 154.2 | 98.5% | 100.0% | 5.4 | 0.0 |
| 19 | Ciryl Gane | Heavyweight | 153.1 | 98.4% | 94.9% | 5.5 | 0.0 |
| 20 | Alexander Volkov | Heavyweight | 153.0 | 98.3% | 93.6% | 4.8 | 0.0 |
| 21 | Belal Muhammad | Welterweight | 152.6 | 98.2% | 97.9% | 4.1 | 0.2 |
| 22 | Welterweight | 152.6 | 98.2% | 97.9% | 6.2 | 0.0 | |
| 23 | Dricus Du Plessis | Middleweight | 152.6 | 98.0% | 99.1% | 5.1 | 0.2 |
| 24 | Sean Brady | Welterweight | 152.5 | 97.9% | 96.4% | 3.7 | 0.3 |
| 25 | Sean Strickland | Middleweight | 152.5 | 97.9% | 98.3% | 6.5 | 0.0 |
| 26 | Umar Nurmagomedov | Bantamweight | 152.0 | 97.8% | 99.3% | 3.9 | 0.2 |
| 27 | Zhang Weili | Women's Flyweight | 150.0 | 97.7% | 98.3% | 3.9 | 0.2 |
| 28 | Tatiana Suarez | Women's Strawweight | 149.9 | 97.6% | 100.0% | 1.2 | 0.2 |
| 29 | Benoit Saint Denis | Lightweight | 149.8 | 97.5% | 97.9% | 5.6 | 0.3 |
| 30 | Manon Fiorot | Women's Flyweight | 147.1 | 97.4% | 96.7% | 5.6 | 0.1 |
| 31 | Erin Blanchfield | Women's Flyweight | 147.0 | 97.3% | 95.0% | 5.2 | 0.1 |
| 32 | Joshua Van | Flyweight | 146.4 | 97.2% | 100.0% | 8.4 | 0.1 |
| 33 | Colby Covington | Welterweight | 146.0 | 97.1% | 95.7% | 3.1 | 0.1 |
| 34 | Anthony Hernandez | Middleweight | 145.8 | 97.0% | 97.4% | 4.5 | 0.4 |
| 35 | Max Holloway | Welterweight | 145.6 | 97.0% | 95.0% | 6.2 | 0.0 |
| 36 | Justin Gaethje | Lightweight | 145.5 | 96.9% | 97.3% | 5.7 | 0.0 |
| 37 | Bantamweight | 144.0 | 96.8% | 98.7% | 5.9 | 0.0 | |
| 38 | Petr Yan | Bantamweight | 143.9 | 96.7% | 98.0% | 4.6 | 0.1 |
| 39 | Cory Sandhagen | Bantamweight | 143.8 | 96.6% | 97.3% | 4.2 | 0.1 |
| 40 | Ian Machado Garry | Welterweight | 143.7 | 96.5% | 94.3% | 4.8 | 0.1 |
| 41 | Magomed Ankalaev | Light Heavyweight | 143.6 | 96.4% | 98.7% | 3.8 | 0.0 |
| 42 | Carlos Prates | Welterweight | 143.6 | 96.3% | 93.6% | 4.4 | 0.0 |
| 43 | Nassourdine Imavov | Middleweight | 143.5 | 96.2% | 96.6% | 4.3 | 0.1 |
| 44 | Brendan Allen | Middleweight | 143.4 | 96.2% | 95.7% | 3.7 | 0.1 |
| 45 | Featherweight | 142.8 | 96.1% | 97.8% | 4.0 | 0.1 | |
| 46 | Pat Sabatini | Featherweight | 142.7 | 96.0% | 97.1% | 1.7 | 0.3 |
| 47 | Grant Dawson | Lightweight | 142.3 | 95.9% | 96.6% | 3.0 | 0.2 |
| 48 | Alexandre Pantoja | Flyweight | 142.3 | 95.8% | 98.7% | 4.5 | 0.3 |
| 49 | Virna Jandiroba | Women's Strawweight | 141.9 | 95.7% | 98.6% | 2.2 | 0.2 |
| 50 | Sergei Pavlovich | Heavyweight | 141.7 | 95.6% | 92.3% | 4.1 | 0.0 |
Showing 1–50 of 1117 · Page 1 of 23
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.