Jiacheng Richard Zou●
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Adelaide Sword Academy●
· Denmark
updated 1h ago
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Pool rank #36
Wins 0
Points diff
0
Exchange analytics
Clean hit ratio
40%
field 46%
AB effectiveness
17%
AB defence
83%
field 82%
Pts / match
1.9 / 2.6
Best win:
Siobhan Sullivan●
(pool rank #39)
Worst loss:
Martin Clifton English●
(pool rank #19)
·
Clean hit ratio: 6 landed vs 9 taken (40%) - division avg 46%
✗
Win rate: 1/5 pool matches (20%)
·
Avg 1.9 scored, 2.6 conceded per match (net -0.7)
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8 of 12 afterblow exchanges negated by equal value (67%)
✓
Afterblow defence rate: 83% - division avg 82%
✓
Best win: Siobhan Sullivan (pool rank #39)
✗
Worst loss: Martin Clifton English (pool rank #19)
Pools
1W-3L
(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:
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.
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.
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.
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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