Tomáš Kvapil stats
Career striking and grappling numbers for Tomáš Kvapil, with every tracked fight below.
Career totals
Across OKTAGON
- Tracked bouts
- 3
- Strikes landed / min
- 5.17
- Strikes absorbed / min
- 2.20
- Takedowns / 15 min
- 2.14
- Control time
- 45%
- Average fight time
- 11:40
Rates are computed over the 3 bouts whose finish time we hold.
Where they rank
All-time boards where Tomáš Kvapil sits in the top 25.
OKTAGON
- #1 Most control time in a fight, Flyweight11:10
- #2 Most significant strikes in a round, Flyweight49
- #3 Most takedowns in a fight, Flyweight4
- #3 Most takedowns in a round, Flyweight2
- #4 Longest fights, Flyweight15:00
- #4 Most significant strikes in a fight, Flyweight92
- #6 Most significant strikes in a round, Flyweight35
- #6 Most takedowns in a round, Flyweight1
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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Jul 27, 2019 | OKTAGON 13: Vémola vs Da Silva | David Mora | LOSS · TKO · R1 5:00 | 31 | 29 | 33 | 0 of 1 | 0 | 0 | 2:34 |
| Apr 26, 2019 | OKTAGON PRIME 1: Wittner vs Horváth | Denis Tripšanský | DRAW · DRAW · R3 5:00 | 58 | 42 | 67 | 1 of 5 | 0 | 0 | 2:03 |
| Jul 29, 2017 | OKTAGON 3: Végh vs Byrne | Marek Koželuh | WIN · DEC · R3 5:00 | 92 | 6 | 123 | 4 of 4 | 0 | 0 | 11:10 |
Strike Distribution
Strike target
- Head166
- Body15
- Leg0
Totals across 3 tracked fights.
Strike position
- Distance28
- Clinch108
- Ground108
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
- 5.17per min
- SApM
- 2.20per min
- Takedowns
- 2.14per 15 min
- Takedown accuracy
- 50%
- TD Def.
- 100%
- Submission attempts
- 0.0per 15 min
Get Tomáš Kvapil's fight history and stats as JSON with the MMA Fight Data API →