Scott Lipsig●
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F3 Sword Academy●
· United States
updated 46d ago
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Finished 40th
Pool rank #29
Wins 1
Points diff
+1
Exchange analytics
Clean hit ratio
33%
field 49%
Pts / match
1 / 2.2
Best win:
Nishan Jayasinghe●
(pool rank #40)
Worst loss:
Ilyse Kullman●
(pool rank #49)
✗
Clean hit ratio: 6 landed vs 12 taken (33%) - division avg 49%
✗
Win rate: 1/6 pool matches (17%)
·
Avg 1 scored, 2.2 conceded per match (net -1.2)
✗
8 double hits from 26 total exchanges (31%)
✓
Best win: Nishan Jayasinghe (pool rank #40)
✗
Worst loss: Ilyse Kullman (pool rank #49)
Pools
1W-3L
(Pool Set 2)
Pool 11
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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 - | - |
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3 exch
2 clean 1 no-exchange
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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 - | - |
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4 exch
4 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 - | - |
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Pool Set 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.
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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