Charlton Miller●
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Bucks Historical Longsword●
· United States
updated 14h ago
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Finished 17th (tied)
Pool rank #19
Wins 0
Points diff
+9
Exchange analytics
Clean hit ratio
40%
field 49%
AB effectiveness
20%
AB defence
80%
field 72%
Pts / match
2.5 / 5.8
Worst loss:
Matthew Sherman●
(pool rank #15)
·
Clean hit ratio: 14 landed vs 21 taken (40%) - division avg 49%
✗
Win rate: 0/4 pool matches (0%)
·
Avg 2.5 scored, 5.8 conceded per match (net -3.3)
·
9 of 15 afterblow exchanges negated by equal value (60%)
✓
Afterblow defence rate: 80% - division avg 72%
✗
Worst loss: Matthew Sherman (pool rank #15)
Pools
0W-4L
(Pool 2)
Elim
0W-1L
(reached Top 19)
Pool 2
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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
8 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.
12 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.
5 exch
4 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.
Elimination
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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.
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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