Skip to content
MMA Calendar

Career stats

Niklas Backstrom stats

Career striking and grappling numbers for Niklas Backstrom, with every tracked fight below.

Back to Niklas Backstrom's profileUFC all-time stat leaders

Career totals

Across UFC

Tracked bouts
3
Strikes landed / min
1.12
Strike accuracy
42%
Strikes absorbed / min
3.65
Takedowns / 15 min
2.92
Control time
31%
Average fight time
6:51

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
Jun 20, 2015UFC Fight Night: Jedrzejczyk vs PenneNoad LahatLOSS · MD · R3 5:0011 of 3162 of 10023 of 464 of 5015:41
Oct 4, 2014UFC Fight Night: Nelson vs StoryMike WilkinsonLOSS · TKO · R1 1:197 of 126 of 157 of 120 of 0000:00
May 31, 2014UFC Fight Night: Munoz vs MousasiTom NiinimakiWIN · SUB · R1 4:155 of 127 of 116 of 130 of 0020:40

Strike Distribution

Strike target
  • Head12 of 36
  • Body6 of 14
  • Leg5 of 5

Totals across 3 tracked fights.

Strike position
  • Distance15 of 42
  • Clinch6 of 9
  • Ground2 of 4

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
1.12per min
Sig. strike accuracy
42%
SApM
3.65per min
Str. Def.
40%
Takedowns
2.92per 15 min
Top 14% in the UFC
Takedown accuracy
80%
Top 4% in the UFC
TD Def.
73%
Top 29% in the UFC
Submission attempts
2.2per 15 min
Top 4% in the UFC

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

Pro MMASource: UFCalendar
Significant strikes
1.12per min
Sig. strike accuracy
42%
SApM
3.65per min
Str. Def.
40%
Takedowns
2.92per 15 min
Takedown accuracy
80%
TD Def.
73%
Submission attempts
2.2per 15 min

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