Nikita Podkovalnikov stats
Career striking and grappling numbers for Nikita Podkovalnikov, with every tracked fight below.
Back to Nikita Podkovalnikov's profileACA all-time stat leaders
Career totals
Across ACA
- Tracked bouts
- 3
- Strikes landed / min
- 0.53
- Strikes absorbed / min
- 2.87
- Takedowns / 15 min
- 0.93
- Control time
- 26%
- Average fight time
- 10:47
Rates are computed over the 3 bouts whose finish time we hold.
Where they rank
All-time boards where Nikita Podkovalnikov sits in the top 25.
ACA
- #4 Fastest submissions, Featherweight9:10
- #4 Most control time in a fight, Featherweight6:17
- #7 Most takedowns in a fight, Featherweight2
- #9 Longest fights, Featherweight9:10
- #10 Fastest finishes, Featherweight9:10
- #23 Most takedowns in a round, Featherweight1
- #24 Most takedowns in a round, Featherweight1
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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Oct 30, 2026 | ACA 209: Odilov vs Frolov | Khafiz Sakibekov | LOSS · UD · R3 5:00 | 7 | 47 | 30 | 0 of 1 | 0 | 0 | 1:28 |
| May 8, 2026 | ACA 203 | Mehdi Dakaev | LOSS · SUB · R2 3:12 | 7 | 45 | 43 | 0 of 0 | 0 | 0 | 0:32 |
| Nov 3, 2023 | ACA 165 - Dakaev vs Batista | Alberd Zhapuev | WIN · SUB · R2 4:10 | 3 | 1 | 21 | 2 of 2 | 0 | 1 | 6:17 |
Strike Distribution
Strike target
- Head11
- Body4
- Leg2
Totals across 3 tracked fights.
Strike position
- Distance11
- Clinch12
- Ground6
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
- 0.53per min
- SApM
- 2.87per min
- Takedowns
- 0.93per 15 min
- Takedown accuracy
- 67%
- TD Def.
- 23%
- Submission attempts
- 0.5per 15 min
Get Nikita Podkovalnikov's fight history and stats as JSON with the MMA Fight Data API →