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Career stats

Royston Wee stats

Career striking and grappling numbers for Royston Wee, with every tracked fight below.

Back to Royston Wee's profileUFC all-time stat leaders

Career totals

Across UFC

Tracked bouts
3
Strikes landed / min
1.10
Strike accuracy
60%
Strikes absorbed / min
2.45
Takedowns / 15 min
3.38
Control time
54%
Average fight time
13:20

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

Where they rank

All-time boards where Royston Wee 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
May 17, 2015UFC Fight Night: Edgar vs FaberGuangyou NingLOSS · TKO · R2 4:5918 of 3246 of 9229 of 430 of 0000:00
Aug 23, 2014UFC Fight Night: Bisping vs LeYao ZhikuiWIN · SD · R3 5:0018 of 2927 of 6788 of 1063 of 4007:48
Jan 4, 2014UFC Fight Night: Saffiedine vs LimDave GaleraWIN · UD · R3 5:008 of 1225 of 3684 of 1046 of 70013:52

Strike Distribution

Strike target
  • Head16 of 41
  • Body9 of 9
  • Leg19 of 23

Totals across 3 tracked fights.

Strike position
  • Distance30 of 55
  • Clinch4 of 5
  • Ground10 of 13

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: 2-1-0 · Source: UFCStats.com
Significant strikes
1.10per min
Sig. strike accuracy
60%
SApM
2.45per min
Top 20% in the UFC
Str. Def.
50%
Takedowns
3.38per 15 min
Top 9% in the UFC
Takedown accuracy
82%
Top 3% in the UFC
TD Def.
0%
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
1.10per min
Sig. strike accuracy
60%
SApM
2.45per min
Str. Def.
50%
Takedowns
3.38per 15 min
Takedown accuracy
82%
TD Def.
0%
Submission attempts
0.0per 15 min

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