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Career stats

Matt Hobar stats

Career striking and grappling numbers for Matt Hobar, with every tracked fight below.

Back to Matt Hobar's profileUFC all-time stat leaders

Career totals

Across UFC

Tracked bouts
3
Strikes landed / min
3.23
Strike accuracy
42%
Strikes absorbed / min
4.27
Takedowns / 15 min
3.66
Control time
53%
Average fight time
10:56

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

Where they rank

All-time boards where Matt Hobar sits in the top 25.

Fight by fight

Every bout we hold official statistics for, newest first.

Swipe for more columns →

DateEventOpponentResultSignificant strikesOpp. sig. strikesTotal strikesTakedownsKnockdownsSubmission attemptsControl time
Dec 6, 2014UFC 181: Hendricks vs Lawler IISergio PettisLOSS · UD · R3 5:0036 of 12478 of 20054 of 1422 of 9104:22
Aug 23, 2014UFC Fight Night: Henderson vs Dos AnjosAaron PhillipsWIN · UD · R3 5:0063 of 10038 of 54120 of 1726 of 90012:54
May 31, 2014UFC Fight Night: Munoz vs MousasiPedro MunhozLOSS · TKO · R1 2:477 of 2724 of 437 of 270 of 0000:15

Strike Distribution

Strike target
  • Head75 of 205
  • Body20 of 32
  • Leg11 of 14

Totals across 3 tracked fights.

Strike position
  • Distance37 of 144
  • Clinch27 of 34
  • Ground42 of 73

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: 1-2-0 · Source: UFCStats.com
Significant strikes
3.23per min
Sig. strike accuracy
42%
SApM
4.27per min
Str. Def.
53%
Takedowns
3.66per 15 min
Top 8% in the UFC
Takedown accuracy
44%
Top 36% in the UFC
TD Def.
50%
Submission attempts
0.0per 15 min

Percentiles compare this fighter with 1500 UFC fighters who have five or more tracked fights.

Pro MMASource: UFCalendar
Significant strikes
3.23per min
Sig. strike accuracy
42%
SApM
4.27per min
Str. Def.
53%
Takedowns
3.66per 15 min
Takedown accuracy
44%
TD Def.
50%
Submission attempts
0.0per 15 min

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