Siem Jacobs●
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Historisch Schermgilde Limburg●
· Netherlands
updated 11d ago
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Finished 17th (tied)
Pool rank #23
Wins 2
Points diff
-13
Exchange analytics
Clean hit ratio
36%
field 48%
AB effectiveness
25%
AB defence
75%
field 68%
Pts / match
8.4 / 11
Best win:
Kylian Maas●
(pool rank #24)
Worst loss:
Chris Dalby●
(pool rank #15)
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Clean hit ratio: 17 landed vs 30 taken (36%) - division avg 48%
·
Win rate: 2/5 pool matches (40%)
·
Avg 8.4 scored, 11 conceded per match (net -2.6)
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Afterblow defence rate: 75% - division avg 68%
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2 of 2 scoring afterblows landed to deep targets (body/head)
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Best win: Kylian Maas (pool rank #24)
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Worst loss: Chris Dalby (pool rank #15)
Pools
2W-3L
(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.
10 exch
7 clean 2 AB 1 no-exchange
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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.
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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