Tyler Larson●
Full profile ↗
OMACA○
· United States
updated 1h ago
updating...
Report an issue with this data
Finished 4th
Pool rank #3
Wins 3
Points diff
+20
Exchange analytics
Clean hit ratio
58%
field 48%
AB effectiveness
30%
AB defence
50%
field 57%
Pts / match
1 / 2.8
Best win:
James Glackin●
(pool rank #4)
Worst loss:
Thomas Amoroso●
(pool rank #2)
✓
Clean hit ratio: 15 landed vs 11 taken (58%) - division avg 48%
✓
Win rate: 3/4 pool matches (75%)
·
Avg 1 scored, 2.8 conceded per match (net -1.8)
✗
Afterblow defence rate: 50% - division avg 57%
✗
8 double hits from 44 total exchanges (18%)
✓
3 of 3 scoring afterblows landed to deep targets (body/head)
✓
Best win: James Glackin (pool rank #4)
✗
Worst loss: Thomas Amoroso (pool rank #2)
Pools
3W-1L
(Pool 1, advanced)
Matches
6 exch
4 clean 1 AB
Loading exchanges...
First blood:
swipe →
| # | Time | Net | Score | ||
|---|---|---|---|---|---|
| hit AB clean Double no exchange - | hit AB clean no exchange - | - |
No exchange data cached for this match yet.
7 exch
3 clean 1 AB 1 no-exchange
Loading exchanges...
First blood:
swipe →
| # | Time | Net | Score | ||
|---|---|---|---|---|---|
| hit AB clean Double no exchange - | hit AB clean no exchange - | - |
No exchange data cached for this match yet.
4 exch
1 clean 3 AB
Loading exchanges...
First blood:
swipe →
| # | Time | Net | Score | ||
|---|---|---|---|---|---|
| hit AB clean Double no exchange - | hit AB clean no exchange - | - |
No exchange data cached for this match yet.
5 exch
2 clean 2 AB
Loading exchanges...
First blood:
swipe →
| # | Time | Net | Score | ||
|---|---|---|---|---|---|
| hit AB clean Double no exchange - | hit AB clean no exchange - | - |
No exchange data cached for this match yet.
Post-event review
Style at this event
Matches analysed
Avg doubles/match
Exchanges per point
Scored first
Comeback rate
Shutout wins
No exchange data cached for this fighter at this event. Exchange data is available after matches are scored.
View finals bracket →
Stats describe results, not intent. Some fighters compete to experiment, others to win. Use this as one input, not a script.
Scouting as
Win / Loss
Total
Rated divisions
inactive
No HEMA Ratings profile found. Analysis based on opponent data only.
Opponent breakdown
Club mate
Difficulty
Previous meetings
Win / Loss
Total
No rating in this division
No profile found on HEMA Ratings
At peak rating
Elim specialist
Avg opponent rating:
Pool:
·
Elim:
Expected wins, actual (over rated fights)
Active , avg across
Peak rating gap:
Recent form
Competes in divisions
Club intel
|
|
Want to scout someone else in the same pool?
Scout another fighter →
Fetching match data