Sam Akroyd○
updated 20d ago
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Pool rank #9
Wins 4
Points diff
+11
Advanced
Exchange analytics
Clean hit ratio
54%
field 47%
AB effectiveness
21%
AB defence
75%
field 80%
Pts / match
7.6 / 5.4
Best win:
Stephen Howell●
(pool rank #16)
Worst loss:
Mateusz Leksander●
(pool rank #4)
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Clean hit ratio: 21 landed vs 18 taken (54%) - division avg 47%
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Win rate: 4/5 pool matches (80%)
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Avg 7.6 scored, 5.4 conceded per match (net +2.2)
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15 of 28 afterblow exchanges negated by equal value (54%)
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6 of 28 afterblow exchanges converted to points (21%)
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Afterblow defence rate: 75% - division avg 80%
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6 of 6 scoring afterblows landed to deep targets (body/head)
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Best win: Stephen Howell (pool rank #16)
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Worst loss: Mateusz Leksander (pool rank #4)
Pools
4W-1L
(Pool 5, advanced)
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 - | - |
No exchange data cached for this match yet.
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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.
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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.
10 exch
5 clean 5 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.
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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