David Kindness●
Full profile ↗
Aberdeen Swordsmanship Group●
· United Kingdom
updated 13d ago
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Pool rank #31
Wins 1
Points diff
+5
Advanced
Exchange analytics
Clean hit ratio
45%
field 47%
Pts / match
1 / 0
Best win:
Rachel Terrell●
(pool rank #34)
Worst loss:
Kacper Rosiak●
(pool rank #22)
·
Clean hit ratio: 15 landed vs 18 taken (45%) - division avg 47%
✗
Win rate: 1/4 pool matches (25%)
✓
Avg 1 scored, 0 conceded per match (net +1)
✗
5 double hits from 38 total exchanges (13%)
✓
Best win: Rachel Terrell (pool rank #34)
✗
Worst loss: Kacper Rosiak (pool rank #22)
Pools
1W-3L
(Pool 3, advanced)
Elim
0W-1L
(reached Top 32)
Pool 3
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.
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.
Elimination
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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