Skip to content
MMA Calendar

Career stats

Reginaldo Vieira stats

Career striking and grappling numbers for Reginaldo Vieira, with every tracked fight below.

Back to Reginaldo Vieira's profile

Career totals

Across UFC

Tracked bouts
3
Strikes landed / min
3.76
Strike accuracy
41%
Strikes absorbed / min
2.89
Takedowns / 15 min
1.97
Control time
24%
Average fight time
12:41

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

Fight by fight

Every bout we hold official statistics for, newest first.

Swipe for more columns →

DateEventOpponentResultSignificant strikesOpp. sig. strikesTotal strikesTakedownsKnockdownsSubmission attemptsControl time
Feb 19, 2017UFC Fight Night: Lewis vs BrowneAiemann ZahabiLOSS · UD · R3 5:0064 of 19044 of 11273 of 1992 of 13002:24
Jul 8, 2016UFC Fight Night: Team Joanna vs Team ClaudiaMarco BeltranLOSS · SUB · R2 3:0420 of 5620 of 4835 of 723 of 4003:26
Aug 1, 2015UFC 190: Rousey vs CorreiaDileno LopesWIN · UD · R3 5:0059 of 10546 of 109127 of 1790 of 1023:26

Strike Distribution

Strike target
  • Head76 of 261
  • Body35 of 49
  • Leg32 of 41

Totals across 3 tracked fights.

Strike position
  • Distance101 of 293
  • Clinch17 of 26
  • Ground25 of 32

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
3.76per min
Top 38% in the UFC
Sig. strike accuracy
41%
SApM
2.89per min
Top 32% in the UFC
Str. Def.
59%
Takedowns
1.97per 15 min
Top 30% in the UFC
Takedown accuracy
28%
TD Def.
25%
Submission attempts
0.8per 15 min
Top 27% in the UFC

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

Pro MMASource: UFCalendar
Significant strikes
3.76per min
Sig. strike accuracy
41%
SApM
2.89per min
Str. Def.
59%
Takedowns
1.97per 15 min
Takedown accuracy
28%
TD Def.
25%
Submission attempts
0.8per 15 min

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