Wesley Ho●
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SoCal Swords●
· United States
updated 21d ago
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Finished 9th (tied)
Pool rank #14
Wins 0
Points diff
-20.8
Exchange analytics
Clean hit ratio
44%
field 48%
AB effectiveness
30%
AB defence
40%
field 59%
Pts / match
3.4 / 7.5
Best win:
James Samples●
(pool rank #13)
Worst loss:
Daniel Zimet●
(pool rank #12)
·
Clean hit ratio: 8 landed vs 10 taken (44%) - division avg 48%
✗
Win rate: 1/5 pool matches (20%)
·
Avg 3.4 scored, 7.5 conceded per match (net -4.1)
✗
Afterblow defence rate: 40% - division avg 59%
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5 double hits from 33 total exchanges (15%)
✓
3 of 3 scoring afterblows landed to deep targets (body/head)
✓
Best win: James Samples (pool rank #13)
✗
Worst loss: Daniel Zimet (pool rank #12)
Pools
1W-4L
(Pool 1, advanced)
Matches
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First blood:
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| # | Time | Net | Score | ||
|---|---|---|---|---|---|
| hit AB clean Double no exchange - | hit AB clean no exchange - | - |
No exchange data cached for this match yet.
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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.
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.
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.
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.
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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
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