Andrew Wang●
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Nickel City Longsword Academy●
· United States
updated 3d ago
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Pool rank #17
Wins 2
Points diff
+5
Exchange analytics
Clean hit ratio
57%
field 49%
AB effectiveness
20%
AB defence
80%
field 86%
Pts / match
7.7 / 6
Best win:
Evan Macdonald●
(pool rank #28)
Worst loss:
Keshava Archibald●
(pool rank #5)
✓
Clean hit ratio: 16 landed vs 12 taken (57%) - division avg 49%
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Win rate: 2/3 pool matches (67%)
✓
Avg 7.7 scored, 6 conceded per match (net +1.7)
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6 of 10 afterblow exchanges negated by equal value (60%)
✓
Afterblow defence rate: 80% - division avg 86%
✗
10 double hits from 48 total exchanges (21%)
✓
Best win: Evan MacDonald (pool rank #28)
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Worst loss: Keshava Archibald (pool rank #5)
Pools
2W-1L
(Pool 10)
Elim
0W-1L
(reached Top 32)
Pool 10
12 exch
11 clean 1 no-exchange
Loading exchanges...
First blood:
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| # | Time | Net | Score | ||
|---|---|---|---|---|---|
| AB hit clean Double no exchange Warning - | hit AB clean no exchange Warning - | - |
No exchange data cached for this match yet.
16 exch
6 clean 4 AB 2 no-exchange
Loading exchanges...
First blood:
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| # | Time | Net | Score | ||
|---|---|---|---|---|---|
| AB hit clean Double no exchange Warning - | hit AB clean no exchange Warning - | - |
No exchange data cached for this match yet.
11 exch
6 clean 2 AB 1 no-exchange
Loading exchanges...
First blood:
swipe →
| # | Time | Net | Score | ||
|---|---|---|---|---|---|
| AB hit clean Double no exchange Warning - | hit AB clean no exchange Warning - | - |
No exchange data cached for this match yet.
Elimination
Loading exchanges...
First blood:
swipe →
| # | Time | Net | Score | ||
|---|---|---|---|---|---|
| AB hit clean Double no exchange Warning - | hit AB clean no exchange Warning - | - |
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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