Alessandro Capone stats
Career striking and grappling numbers for Alessandro Capone, with every tracked fight below.
Back to Alessandro Capone's profileFNC all-time stat leaders
Career totals
Across FNC
- Tracked bouts
- 3
- Strikes landed / min
- 2.83
- Strikes absorbed / min
- 3.03
- Takedowns / 15 min
- 2.39
- Control time
- 19%
- Average fight time
- 8:22
Rates are computed over the 3 bouts whose finish time we hold.
Where they rank
All-time boards where Alessandro Capone sits in the top 25.
FNC
- #3 Fastest knockouts, Featherweight2:57
- #3 Most knockdowns in a round, Featherweight1
- #4 Most knockdowns in a fight, Featherweight1
- #5 Fastest finishes, Featherweight2:57
- #5 Fastest submissions, Featherweight7:10
- #7 Most takedowns in a fight, Featherweight3
- #11 Most significant strikes in a round, Featherweight25
- #13 Most significant strikes in a fight, Featherweight34
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 |
|---|---|---|---|---|---|---|---|---|---|---|
| May 5, 2024 | FNC 16 | Luka Giorgadze | LOSS · SD · R3 05:00 | 28 | 65 | 115 | 3 of 11 | 0 | 1 | 2:15 |
| Dec 16, 2023 | FNC 14 | Rusi Minev | WIN · TKO · R1 02:57 | 9 | 1 | 19 | 0 of 0 | 1 | 0 | 0:02 |
| Sep 2, 2023 | FNC 12 | Demahmet Sinani | WIN · SUB · R2 02:10 | 34 | 10 | 84 | 1 of 3 | 0 | 1 | 2:31 |
Strike Distribution
Strike target
- Head60
- Body8
- Leg3
Totals across 3 tracked fights.
Strike position
- Distance61
- Clinch35
- Ground10
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
- 2.83per min
- SApM
- 3.03per min
- Takedowns
- 2.39per 15 min
- Takedown accuracy
- 29%
- TD Def.
- 100%
- Submission attempts
- 1.2per 15 min
Get Alessandro Capone's fight history and stats as JSON with the MMA Fight Data API →