Mojtaba Nasiri stats
Career striking and grappling numbers for Mojtaba Nasiri, with every tracked fight below.
Back to Mojtaba Nasiri's profileBRAVE-CF all-time stat leaders
Career totals
Across BRAVE CF
- Tracked bouts
- 3
- Strikes landed / min
- 1.79
- Strikes absorbed / min
- 2.89
- Takedowns / 15 min
- 7.06
- Control time
- 37%
- Average fight time
- 10:38
Rates are computed over the 3 bouts whose finish time we hold.
Where they rank
All-time boards where Mojtaba Nasiri sits in the top 25.
BRAVE CF
- #1 Fastest submissions, Bantamweight1:53
- #2 Most takedowns in a fight, Featherweight10
- #3 Most takedowns in a round, Featherweight4
- #4 Fastest finishes, Bantamweight1:53
- #4 Most takedowns in a fight, all divisions10
- #7 Most takedowns in a round, Featherweight3
- #8 Most takedowns in a round, Featherweight3
- #13 Fastest submissions, all divisions1:53
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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Sep 19, 2025 | BRAVE CF 98 | Zeqiuduoji | LOSS · UD · R3 05:00 | 22 | 51 | 109 | 5 of 16 | 0 | 0 | 7:22 |
| Apr 18, 2025 | BRAVE CF 93 | Fayang Wan | LOSS · UD · R3 05:00 | 33 | 37 | 99 | 10 of 14 | 0 | 0 | 3:49 |
| Nov 25, 2023 | BRAVE 76 | Jefri Arianto Utomo | WIN · SUB · R1 01:53 | 2 | 4 | 5 | 0 of 1 | 0 | 2 | 0:28 |
Strike Distribution
Strike target
- Head35
- Body15
- Leg7
Totals across 3 tracked fights.
Strike position
- Distance37
- Clinch23
- Ground20
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
- 1.79per min
- SApM
- 2.89per min
- Takedowns
- 7.06per 15 min
- Takedown accuracy
- 48%
- TD Def.
- 50%
- Submission attempts
- 0.9per 15 min
Get Mojtaba Nasiri's fight history and stats as JSON with the MMA Fight Data API →