Neil Basson●
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Auckland Sword & Shield●
· New Zealand
updated 3d ago
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Finished 10th
Pool rank #10
Wins 2
Points diff
0
Exchange analytics
Clean hit ratio
52%
field 48%
AB effectiveness
22%
AB defence
44%
field 64%
Pts / match
6.6 / 6.6
Best win:
Zihan Huang●
(pool rank #16)
Worst loss:
Jonothon Grose●
(pool rank #9)
✓
Clean hit ratio: 13 landed vs 12 taken (52%) - division avg 48%
·
Win rate: 2/5 pool matches (40%)
·
Avg 6.6 scored, 6.6 conceded per match (net 0)
✗
Afterblow defence rate: 44% - division avg 64%
✗
10 of 18 hits taken were to deep targets (56%) - body/head
✓
Best win: Zihan Huang (pool rank #16)
✗
Worst loss: Jonothon Grose (pool rank #9)
Pools
2W-3L
(Pool 1)
Pool 1
8 exch
5 clean 3 AB
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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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