Andrew Weems●
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Krieg School●
· United States
updated 2d ago
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Finished 8th (tied)
Pool rank #5
Wins 1
Points diff
+4.5
Exchange analytics
Clean hit ratio
36%
field 46%
AB effectiveness
40%
AB defence
40%
field 81%
Pts / match
8.3 / 9
Best win:
Matthew Roop-Kharasch●
(pool rank #16)
Worst loss:
John Eiler●
(pool rank #19)
·
Clean hit ratio: 5 landed vs 9 taken (36%) - division avg 46%
·
Avg 8.3 scored, 9 conceded per match (net -0.7)
✗
Afterblow defence rate: 40% - division avg 81%
✗
3 double hits from 22 total exchanges (14%)
✓
2 of 2 scoring afterblows landed to deep targets (body/head)
✓
Best win: Matthew Roop-Kharasch (pool rank #16)
✗
Worst loss: John Eiler (pool rank #19)
Pools
1W-1L
(Pool 4)
Elim
1W-2L
(reached Quarter-Finals)
Pool 4
14 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 - | - |
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11 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 - | - |
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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.
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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