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Career stats

Rostem Akman stats

Career striking and grappling numbers for Rostem Akman, with every tracked fight below.

Back to Rostem Akman's profile

Career totals

Across UFC · PFL

Tracked bouts
3
Strikes landed / min
1.56
Strike accuracy
26%
Strikes absorbed / min
3.83
Takedowns / 15 min
1.23
Control time
13%
Average fight time
12:11

Rates are computed over the 3 bouts whose finish time we hold.

By promotion

The same career numbers, one row per promotion.

PromotionBoutsW–LSignificant strikesTakedownsKnockdownsControlAvg. time
UFC20–254 of 2102 of 5011%15:00
PFL10–131 of 2024%6:34

Fight by fight

Every bout we hold official statistics for, newest first.

Swipe for more columns →

DateEventOpponentResultSignificant strikesOpp. sig. strikesTotal strikesTakedownsKnockdownsSubmission attemptsControl time
Oct 6, 2019UFC 243: Whittaker vs AdesanyaJake MatthewsLOSS · UD · R3 5:0015 of 11059 of 13315 of 1100 of 0000:03
Jun 1, 2019UFC Fight Night: Gustafsson vs SmithSergey KhandozhkoLOSS · UD · R3 5:0039 of 10060 of 14940 of 1032 of 5003:19

Strike Distribution

Strike target
  • Head41 of 185
  • Body12 of 21
  • Leg4 of 4

Totals across 3 tracked fights.

Strike position
  • Distance45 of 195
  • Clinch13 of 15
  • Ground0 of 0

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.

UFC careerRecord: 0-2-0 · Source: UFCStats.com
Significant strikes
1.80per min
Sig. strike accuracy
26%
SApM
3.97per min
Str. Def.
58%
Takedowns
1.00per 15 min
Takedown accuracy
40%
Top 46% in the UFC
TD Def.
88%
Top 8% in the UFC
Submission attempts
0.0per 15 min

Percentiles compare this fighter with 1497 UFC fighters who have five or more tracked fights.

Pro MMASource: UFCalendar
Significant strikes
1.56per min
Sig. strike accuracy
26%
SApM
3.83per min
Str. Def.
58%
Takedowns
1.23per 15 min
Takedown accuracy
43%
TD Def.
90%
Submission attempts
0.0per 15 min

Get Rostem Akman's fight history and stats as JSON with the MMA Fight Data API →