Rogerio Bontorin stats
Career striking and grappling numbers for Rogerio Bontorin, with every tracked fight below.
Career totals
Across UFC · KSW · RIZIN
- Tracked bouts
- 8
- Strikes landed / min
- 2.43
- Strike accuracy
- 52%
- Strikes absorbed / min
- 3.35
- Takedowns / 15 min
- 2.93
- Control time
- 28%
- Average fight time
- 12:10
Rates are computed over the 8 bouts whose finish time we hold.
Where they rank
All-time boards where Rogerio Bontorin sits in the top 25.
All MMA
RIZIN
By promotion
The same career numbers, one row per promotion.
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 1, 2023 | RIZIN LANDMARK 6 | Yutaro Muramoto | WIN · UD · R3 5:00 | 43 | 4 | 121 | 5 of 10 | 0 | 1 | 5:57 |
Strike Distribution
Strike target
- Head166 of 254
- Body29 of 28
- Leg42 of 29
Totals across 8 tracked fights.
Strike position
- Distance192 of 272
- Clinch54 of 18
- Ground30 of 21
Totals across 8 tracked fights.
As published elsewhere
Career averages exactly as each source publishes them. The totals above are ours, computed from every tracked bout.
UFC careerRecord: 2-3-0 (1 NC) · Source: UFCStats.com
- Significant strikes
- 2.40per min
- Sig. strike accuracy
- 52%
- SApM
- 3.15per min
- Str. Def.
- 52%
- Takedowns
- 2.87per 15 min
- Takedown accuracy
- 62%
- TD Def.
- 48%
- Submission attempts
- 0.9per 15 min
Top 41% in the UFC
Top 14% in the UFC
Top 11% in the UFC
Top 23% in the UFC
Percentiles compare this fighter with 1497 UFC fighters who have five or more tracked fights.
Pro MMASource: UFCalendar
- Significant strikes
- 2.43per min
- Sig. strike accuracy
- 52%
- SApM
- 3.35per min
- Str. Def.
- 52%
- Takedowns
- 2.93per 15 min
- Takedown accuracy
- 56%
- TD Def.
- 44%
- Submission attempts
- 0.8per 15 min
Get Rogerio Bontorin's fight history and stats as JSON with the MMA Fight Data API →