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.

Renato Moicano
Lightweight
141.4
Career TSR

Mateusz Gamrot
Lightweight
141.3
Career TSR
Stipe Miocic
Heavyweight
141.2
Career TSR

Steve Garcia
Featherweight
140.6
Career TSR

Rinat Fakhretdinov
Welterweight
140.5
Career TSR

Dustin Poirier
Lightweight
140.3
Career TSR

Mario Bautista
Bantamweight
140.3
Career TSR

Gillian Robertson
Women's Strawweight
138.9
Career TSR

Lerone Murphy
Featherweight
138.3
Career TSR

Waldo Cortes Acosta
Heavyweight
138.2
Career TSR

Jack Della Maddalena
Welterweight
138.0
Career TSR

Curtis Blaydes
Heavyweight
137.3
Career TSR

Natalia Silva
Women's Flyweight
137.3
Career TSR

Gregory Rodrigues
Middleweight
137.3
Career TSR

Rose Namajunas
Women's Flyweight
137.2
Career TSR

Muhammad Mokaev
Flyweight
136.7
Career TSR

Paddy Pimblett
Lightweight
136.5
Career TSR

Quillan Salkilld
Lightweight
136.5
Career TSR

Caio Borralho
Middleweight
136.5
Career TSR

Leon Edwards
Welterweight
136.5
Career TSR

Jean Silva
Featherweight
136.2
Career TSR

Arnold Allen
Featherweight
136.1
Career TSR

Tatsuro Taira
Flyweight
135.7
Career TSR

Kyoji Horiguchi
Flyweight
135.6
Career TSR

Jasmine Jasudavicius
Women's Flyweight
135.1
Career TSR

Raoni Barcelos
Bantamweight
134.8
Career TSR

Jiri Prochazka
Light Heavyweight
134.8
Career TSR
Glover Teixeira
Light Heavyweight
134.7
Career TSR

Dominick Reyes
Light Heavyweight
134.5
Career TSR

Joe Pyfer
Middleweight
134.3
Career TSR

Volkan Oezdemir
Light Heavyweight
133.9
Career TSR

Farid Basharat
Bantamweight
133.5
Career TSR

Song Yadong
Bantamweight
133.5
Career TSR

Bryan Battle
Welterweight
133.4
Career TSR
Derek Brunson
Middleweight
133.3
Career TSR
TJ Dillashaw
Bantamweight
133.2
Career TSR

Fares Ziam
Lightweight
133.2
Career TSR

Gabriel Bonfim
Welterweight
132.8
Career TSR

Raul Rosas Jr.
Bantamweight
132.6
Career TSR

Kayla Harrison
Women's Bantamweight
132.5
Career TSR

Mike Malott
Welterweight
132.3
Career TSR

Joselyne Edwards
Women's Bantamweight
132.2
Career TSR

Norma Dumont
Women's Bantamweight
132.1
Career TSR

Jan Blachowicz
Light Heavyweight
131.9
Career TSR

Christian Leroy Duncan
Middleweight
131.5
Career TSR

Michael Chiesa
Welterweight
131.5
Career TSR

Myktybek Orolbai
Welterweight
131.3
Career TSR

Alexa Grasso
Women's Flyweight
131.3
Career TSR

Payton Talbott
Bantamweight
130.8
Career TSR

Henry Cejudo
Bantamweight
130.7
Career TSR
| Rank | Fighter | Weight class | Career TSR | Percentile | Percentile per weight class | SLpM | TD / min |
|---|---|---|---|---|---|---|---|
| 51 | Renato Moicano | Lightweight | 141.4 | 95.5% | 95.9% | 3.1 | 0.1 |
| 52 | Mateusz Gamrot | Lightweight | 141.3 | 95.4% | 95.2% | 3.0 | 0.4 |
| 53 | Heavyweight | 141.2 | 95.3% | 91.0% | 2.6 | 0.0 | |
| 54 | Steve Garcia | Featherweight | 140.6 | 95.3% | 96.4% | 6.0 | 0.1 |
| 55 | Rinat Fakhretdinov | Welterweight | 140.5 | 95.2% | 92.9% | 5.0 | 0.3 |
| 56 | Dustin Poirier | Lightweight | 140.3 | 95.1% | 94.5% | 4.1 | 0.0 |
| 57 | Mario Bautista | Bantamweight | 140.3 | 95.0% | 96.6% | 5.2 | 0.2 |
| 58 | Gillian Robertson | Women's Strawweight | 138.9 | 94.9% | 97.2% | 3.3 | 0.2 |
| 59 | Lerone Murphy | Featherweight | 138.3 | 94.8% | 95.7% | 4.7 | 0.1 |
| 60 | Waldo Cortes Acosta | Heavyweight | 138.2 | 94.7% | 89.7% | 5.2 | 0.0 |
| 61 | Jack Della Maddalena | Welterweight | 138.0 | 94.6% | 92.1% | 5.1 | 0.0 |
| 62 | Curtis Blaydes | Heavyweight | 137.3 | 94.5% | 88.5% | 5.5 | 0.1 |
| 63 | Natalia Silva | Women's Flyweight | 137.3 | 94.4% | 93.3% | 4.8 | 0.0 |
| 64 | Gregory Rodrigues | Middleweight | 137.3 | 94.4% | 94.8% | 5.5 | 0.1 |
| 65 | Rose Namajunas | Women's Flyweight | 137.2 | 94.3% | 91.7% | 3.0 | 0.1 |
| 66 | Muhammad Mokaev | Flyweight | 136.7 | 94.2% | 97.4% | 1.6 | 0.4 |
| 67 | Paddy Pimblett | Lightweight | 136.5 | 94.1% | 93.8% | 5.5 | 0.0 |
| 68 | Quillan Salkilld | Lightweight | 136.5 | 94.0% | 93.2% | 4.8 | 0.4 |
| 69 | Caio Borralho | Middleweight | 136.5 | 93.9% | 94.0% | 3.3 | 0.1 |
| 70 | Leon Edwards | Welterweight | 136.5 | 93.8% | 91.4% | 2.7 | 0.1 |
| 71 | Jean Silva | Featherweight | 136.2 | 93.7% | 94.9% | 4.6 | 0.1 |
| 72 | Arnold Allen | Featherweight | 136.1 | 93.6% | 94.2% | 4.2 | 0.1 |
| 73 | Tatsuro Taira | Flyweight | 135.7 | 93.6% | 96.2% | 2.9 | 0.2 |
| 74 | Kyoji Horiguchi | Flyweight | 135.6 | 93.5% | 94.9% | 4.5 | 0.0 |
| 75 | Jasmine Jasudavicius | Women's Flyweight | 135.1 | 93.4% | 90.0% | 3.4 | 0.2 |
| 76 | Raoni Barcelos | Bantamweight | 134.8 | 93.3% | 96.0% | 4.2 | 0.2 |
| 77 | Jiri Prochazka | Light Heavyweight | 134.8 | 93.2% | 97.3% | 5.3 | 0.0 |
| 78 | Light Heavyweight | 134.7 | 93.1% | 96.0% | 3.6 | 0.2 | |
| 79 | Dominick Reyes | Light Heavyweight | 134.5 | 93.0% | 94.7% | 5.5 | 0.0 |
| 80 | Joe Pyfer | Middleweight | 134.3 | 92.9% | 93.1% | 3.5 | 0.1 |
| 81 | Volkan Oezdemir | Light Heavyweight | 133.9 | 92.8% | 93.3% | 4.9 | 0.0 |
| 82 | Farid Basharat | Bantamweight | 133.5 | 92.7% | 95.3% | 3.6 | 0.2 |
| 83 | Song Yadong | Bantamweight | 133.5 | 92.7% | 94.6% | 4.5 | 0.1 |
| 84 | Bryan Battle | Welterweight | 133.4 | 92.6% | 90.7% | 5.1 | 0.1 |
| 85 | Middleweight | 133.3 | 92.5% | 92.2% | 3.8 | 0.2 | |
| 86 | Bantamweight | 133.2 | 92.4% | 94.0% | 3.5 | 0.1 | |
| 87 | Fares Ziam | Lightweight | 133.2 | 92.3% | 92.5% | 3.2 | 0.1 |
| 88 | Gabriel Bonfim | Welterweight | 132.8 | 92.2% | 90.0% | 4.5 | 0.2 |
| 89 | Raul Rosas Jr. | Bantamweight | 132.6 | 92.1% | 93.3% | 1.3 | 0.5 |
| 90 | Kayla Harrison | Women's Bantamweight | 132.5 | 92.0% | 98.0% | 4.3 | 0.2 |
| 91 | Mike Malott | Welterweight | 132.3 | 91.9% | 89.3% | 3.9 | 0.1 |
| 92 | Joselyne Edwards | Women's Bantamweight | 132.2 | 91.9% | 95.9% | 4.7 | 0.1 |
| 93 | Norma Dumont | Women's Bantamweight | 132.1 | 91.8% | 93.9% | 3.7 | 0.1 |
| 94 | Jan Blachowicz | Light Heavyweight | 131.9 | 91.7% | 92.0% | 3.5 | 0.0 |
| 95 | Christian Leroy Duncan | Middleweight | 131.5 | 91.6% | 91.4% | 4.4 | 0.0 |
| 96 | Michael Chiesa | Welterweight | 131.5 | 91.5% | 88.6% | 2.4 | 0.1 |
| 97 | Myktybek Orolbai | Welterweight | 131.3 | 91.4% | 87.9% | 2.8 | 0.6 |
| 98 | Alexa Grasso | Women's Flyweight | 131.3 | 91.3% | 88.3% | 3.3 | 0.0 |
| 99 | Payton Talbott | Bantamweight | 130.8 | 91.2% | 92.6% | 5.9 | 0.1 |
| 100 | Henry Cejudo | Bantamweight | 130.7 | 91.1% | 91.9% | 3.6 | 0.1 |
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.