Neil Basson●
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Auckland Sword & Shield●
· New Zealand
updated 8d ago
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Finished 24th
Pool rank #24
Wins 0
Points diff
-20
Exchange analytics
Clean hit ratio
29%
field 50%
AB effectiveness
0%
AB defence
85%
field 86%
Pts / match
2.4 / 6.4
Worst loss:
Jian (Yeja) Huang●
(pool rank #19)
✗
Clean hit ratio: 5 landed vs 12 taken (29%) - division avg 50%
✗
Win rate: 0/5 pool matches (0%)
·
Avg 2.4 scored, 6.4 conceded per match (net -4)
·
11 of 13 afterblow exchanges negated by equal value (85%)
✓
Afterblow defence rate: 85% - division avg 86%
✗
5 double hits from 35 total exchanges (14%)
✗
Worst loss: Jian (Yeja) Huang (pool rank #19)
Pools
0W-5L
(Pool 4)
Pool 4
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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:
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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