Aymard Guih stats
Career striking and grappling numbers for Aymard Guih, with every tracked fight below.
Career totals
Across KSW
- Tracked bouts
- 3
- Strikes landed / min
- 2.85
- Strikes absorbed / min
- 3.91
- Takedowns / 15 min
- 3.03
- Control time
- 33%
- Average fight time
- 13:12
Rates are computed over the 3 bouts whose finish time we hold.
Where they rank
All-time boards where Aymard Guih sits in the top 25.
KSW
- #4 Most takedowns in a fight, Lightweight4
- #5 Most takedowns in a round, Lightweight2
- #7 Most takedowns in a round, Lightweight2
- #8 Most takedowns in a fight, Lightweight3
- #9 Longest fights, Lightweight15:00
- #13 Most control time in a fight, Lightweight6:10
- #18 Most significant strikes in a round, Lightweight32
- #19 Most significant strikes in a fight, Lightweight52
Fight by fight
Every bout we hold official statistics for, newest first.
Swipe for more columns →
| Date | Event | Opponent | Result | Significant strikes | Opp. sig. strikes | Total strikes | Takedowns | Knockdowns | Submission attempts | Control time |
|---|---|---|---|---|---|---|---|---|---|---|
| May 16, 2026 | KSW 118: Kuberski vs Michalski | Marian Ziolkowski | LOSS · TKO · R2 4:36 | 16 | 43 | 50 | 1 of 4 | 0 | 0 | 2:43 |
| May 10, 2025 | KSW 106: Parnasse vs Ziółkowski | Mateusz Makarowski | LOSS · UD · R3 5:00 | 52 | 102 | 100 | 3 of 11 | 0 | 0 | 4:14 |
| Nov 16, 2024 | KSW 100: Khalidov vs Bartosiński | Dawid Smielowski | WIN · UD · R3 5:00 | 45 | 10 | 67 | 4 of 11 | 0 | 0 | 6:10 |
Strike Distribution
Strike target
- Head73
- Body13
- Leg27
Totals across 3 tracked fights.
Strike position
- Distance47
- Clinch94
- Ground66
Totals across 3 tracked fights.
As published elsewhere
Career averages exactly as each source publishes them. The totals above are ours, computed from every tracked bout.
Pro MMASource: UFCalendar
- Significant strikes
- 2.85per min
- SApM
- 3.91per min
- Takedowns
- 3.03per 15 min
- Takedown accuracy
- 31%
- TD Def.
- 50%
- Submission attempts
- 0.0per 15 min
Get Aymard Guih's fight history and stats as JSON with the MMA Fight Data API →