Paul Barolet●
Full profile ↗
Academy of Arms●
· United States
updated 20d ago
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Finished 23rd
Pool rank #23
Wins 1
Points diff
+2.4
Exchange analytics
Clean hit ratio
50%
field 48%
Pts / match
2.9 / 3.2
Best win:
Paul Shelton●
(pool rank #32)
Worst loss:
Ilyse Kullman●
(pool rank #15)
✓
Clean hit ratio: 10 landed vs 10 taken (50%) - division avg 48%
·
Win rate: 2/5 pool matches (40%)
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Avg 2.9 scored, 3.2 conceded per match (net -0.3)
✗
3 double hits from 23 total exchanges (13%)
✓
Best win: Paul Shelton (pool rank #32)
✗
Worst loss: Ilyse Kullman (pool rank #15)
Pools
2W-3L
(Pool 1)
Pool 1
8 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.
7 exch
4 clean
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.
7 exch
4 clean
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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