Hidetaka Arato stats
Career striking and grappling numbers for Hidetaka Arato, with every tracked fight below.
Career totals
Across RIZIN
- Tracked bouts
- 3
- Strikes landed / min
- 5.88
- Strikes absorbed / min
- 4.17
- Takedowns / 15 min
- 0.75
- Control time
- 27%
- Average fight time
- 13:16
Rates are computed over the 3 bouts whose finish time we hold.
Where they rank
All-time boards where Hidetaka Arato sits in the top 25.
RIZIN
- #1 Most knockdowns in a fight, Heavyweight2
- #1 Most knockdowns in a round, Heavyweight2
- #1 Most significant strikes in a round, Heavyweight58
- #2 Most control time in a fight, Heavyweight5:02
- #2 Most significant strikes in a fight, Heavyweight115
- #3 Most significant strikes in a round, Heavyweight57
- #4 Most significant strikes in a fight, Heavyweight68
- #6 Most takedowns in a round, Heavyweight1
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 3, 2026 | RIZIN LANDMARK 16 in NAGASAKI | Ken Hasegawa | WIN · UD · R3 5:00 | 115 | 67 | 216 | 1 of 2 | 2 | 0 | 5:02 |
| Jun 14, 2025 | RIZIN LANDMARK 11 in SAPPORO | Sina Karimian | LOSS · DEC · R3 5:00 | 68 | 53 | 183 | 0 of 2 | 0 | 0 | 2:30 |
| Oct 1, 2023 | RIZIN LANDMARK 6 | Satoshi Kamiyama | WIN · TKO · R2 4:49 | 51 | 46 | 139 | 1 of 1 | 0 | 0 | 3:19 |
Strike Distribution
Strike target
- Head158
- Body43
- Leg33
Totals across 3 tracked fights.
Strike position
- Distance182
- Clinch145
- Ground52
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
- 5.88per min
- SApM
- 4.17per min
- Takedowns
- 0.75per 15 min
- Takedown accuracy
- 40%
- Submission attempts
- 0.0per 15 min
Get Hidetaka Arato's fight history and stats as JSON with the MMA Fight Data API →