Edward Huang●
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School of Arms and Armour●
· Australia
updated 24h ago
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Finished 15th
Pool rank #14
Wins 1
Points diff
+26
Exchange analytics
Clean hit ratio
61%
field 51%
Pts / match
10 / 4.8
Best win:
Teresa Aloisi●
(pool rank #18)
Worst loss:
Chris James-Johnson●
(pool rank #12)
✓
Clean hit ratio: 65 landed vs 41 taken (61%) - division avg 51%
✗
Win rate: 1/5 pool matches (20%)
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Avg 10 scored, 4.8 conceded per match (net +5.2)
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36 double hits from 142 total exchanges (25%)
✓
Best win: Teresa Aloisi (pool rank #18)
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Worst loss: Chris James-Johnson (pool rank #12)
Pools
1W-4L
(Pool 1)
Pool 1
9 exch
9 clean
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.
13 exch
10 clean
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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.
9 exch
9 clean
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.
13 exch
12 clean
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
10 clean
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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