Jeffrey Will●
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Bucks Historical Longsword●
· United States
updated 2d ago
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Pool rank #5
Wins 3
Points diff
+14
Advanced
Exchange analytics
Clean hit ratio
52%
field 47%
Pts / match
0 / 3.8
Best win:
Mark Olsen●
(pool rank #10)
Worst loss:
Aidan Witherspoon●
(pool rank #4)
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Clean hit ratio: 17 landed vs 16 taken (52%) - division avg 47%
✓
Win rate: 3/4 pool matches (75%)
·
Avg 0 scored, 3.8 conceded per match (net -3.8)
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16 of 28 hits taken were to deep targets (57%) - body/head
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18 double hits from 51 total exchanges (35%)
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Best win: Mark Olsen (pool rank #10)
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Worst loss: Aidan Witherspoon (pool rank #4)
Pools
3W-1L
(Pool 4, advanced)
Elim
0W-1L
(reached Quarter-Finals)
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.
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
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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.
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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