Helen Bearse●
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Noble Science Academy●
· United States
updated 34d ago
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Finished 9th
Pool rank #9
Wins 3
Points diff
+3
Exchange analytics
Clean hit ratio
30%
field 48%
AB effectiveness
0%
AB defence
100%
field 100%
Pts / match
12.2 / 11.7
Best win:
Ryan Cleary●
(pool rank #10)
Worst loss:
Jordan Murphy●
(pool rank #6)
✗
Clean hit ratio: 6 landed vs 14 taken (30%) - division avg 48%
·
Win rate: 3/6 pool matches (50%)
✓
Avg 12.2 scored, 11.7 conceded per match (net +0.5)
✗
14 of 25 hits taken were to shallow targets (56%) - arms/legs
✓
Best win: Ryan Cleary (pool rank #10)
✗
Worst loss: Jordan Murphy (pool rank #6)
Pools
3W-3L
(Pool 2)
Matches
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First blood:
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| # | Time | Net | Score | ||
|---|---|---|---|---|---|
| hit AB clean Double no exchange - | hit AB clean no exchange - | - |
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First blood:
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| # | Time | Net | Score | ||
|---|---|---|---|---|---|
| hit AB clean Double no exchange - | hit AB clean no exchange - | - |
No exchange data cached for this match yet.
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First blood:
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| # | Time | Net | Score | ||
|---|---|---|---|---|---|
| hit AB clean Double no exchange - | hit AB clean no exchange - | - |
No exchange data cached for this match yet.
9 exch
6 clean 3 AB
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First blood:
swipe →
| # | Time | Net | Score | ||
|---|---|---|---|---|---|
| hit AB clean Double no exchange - | hit AB clean no exchange - | - |
No exchange data cached for this match yet.
Loading exchanges...
First blood:
swipe →
| # | Time | Net | Score | ||
|---|---|---|---|---|---|
| hit AB clean Double no exchange - | hit AB clean no exchange - | - |
No exchange data cached for this match yet.
Loading exchanges...
First blood:
swipe →
| # | Time | Net | Score | ||
|---|---|---|---|---|---|
| hit AB clean Double no exchange - | hit AB clean no exchange - | - |
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
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