Ramazan Kishev stats
Career striking and grappling numbers for Ramazan Kishev, with every tracked fight below.
Career totals
Across ACA
- Tracked bouts
- 3
- Strikes landed / min
- 3.28
- Strikes absorbed / min
- 1.63
- Takedowns / 15 min
- 1.84
- Control time
- 44%
- Average fight time
- 10:52
Rates are computed over the 3 bouts whose finish time we hold.
Where they rank
All-time boards where Ramazan Kishev sits in the top 25.
ACA
- #1 Most knockdowns in a round, Lightweight2
- #2 Most knockdowns in a fight, Lightweight2
- #6 Most knockdowns in a round, all divisions2
- #10 Most knockdowns in a fight, all divisions2
- #15 Most control time in a fight, Lightweight9:45
- #19 Most significant strikes in a round, Lightweight45
- #23 Longest fights, Lightweight15:00
- #24 Most takedowns in a fight, Lightweight4
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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Feb 8, 2025 | ACA 183: Tumenov vs Vagaev | Daud Shaikhaev | DRAW · DRAW · R3 5:00 | 67 | 27 | 115 | 0 of 0 | 2 | 0 | 4:32 |
| Sep 8, 2024 | ACA 179: Omarov vs Taygibov | Lom-Ali Nalgiev | WIN · UD · R3 5:00 | 37 | 18 | 68 | 4 of 5 | 0 | 3 | 9:45 |
| Jul 21, 2023 | ACA 160 - Slipenko vs Gadzhidaudov | Herdeson Batista | LOSS · KO · R1 2:36 | 3 | 8 | 8 | 0 of 1 | 0 | 0 | 0:00 |
Strike Distribution
Strike target
- Head70
- Body30
- Leg7
Totals across 3 tracked fights.
Strike position
- Distance51
- Clinch75
- Ground56
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
- 3.28per min
- SApM
- 1.63per min
- Takedowns
- 1.84per 15 min
- Takedown accuracy
- 67%
- TD Def.
- 43%
- Submission attempts
- 1.4per 15 min
Get Ramazan Kishev's fight history and stats as JSON with the MMA Fight Data API →