William Gonzalez●
Full profile ↗
Nickel City Longsword Academy●
· United States
updated 5d ago
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Pool rank #12
Wins 1
Points diff
-12
Exchange analytics
Clean hit ratio
27%
field 48%
AB effectiveness
20%
AB defence
20%
field 60%
Pts / match
3.2 / 5.6
Best win:
Tanya Smith●
(pool rank #18)
Worst loss:
Gabriel Romano●
(pool rank #10)
✗
Clean hit ratio: 13 landed vs 36 taken (27%) - division avg 48%
✗
Win rate: 1/5 pool matches (20%)
·
Avg 3.2 scored, 5.6 conceded per match (net -2.4)
✗
Afterblow defence rate: 20% - division avg 60%
✗
19 double hits from 73 total exchanges (26%)
✓
Best win: Tanya Smith (pool rank #18)
✗
Worst loss: Gabriel Romano (pool rank #10)
Pools
1W-4L
(Pool 1)
Pool 1
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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.
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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.
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.
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.
10 exch
5 clean 1 AB 1 no-exchange
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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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