Zachary Amsden●
Full profile ↗
Drei Wunder◐
· United States
updated 3d ago
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Pool rank #16
Wins 1
Points diff
0
Exchange analytics
Clean hit ratio
43%
field 49%
AB effectiveness
0%
AB defence
67%
field 72%
Pts / match
4.3 / 8.3
Best win:
Shawn Fackler●
(pool rank #3)
Worst loss:
Don Madlung●
(pool rank #14)
·
Clean hit ratio: 3 landed vs 4 taken (43%) - division avg 49%
✗
Win rate: 1/3 pool matches (33%)
·
Avg 4.3 scored, 8.3 conceded per match (net -4)
✓
Best win: Shawn Fackler (pool rank #3)
✗
Worst loss: Don Madlung (pool rank #14)
Pools
1W-2L
(Pool 1)
Elim
1W-2L
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 - | - |
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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.
8 exch
5 clean
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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.
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
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