Liam Kelleher●
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New England School of Swordsmanship●
· Australia
updated 10d ago
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Pool rank #2
Wins 4
Points diff
+16
Advanced
Exchange analytics
Clean hit ratio
71%
field 47%
AB effectiveness
0%
AB defence
50%
field 69%
Pts / match
0 / 2
Best win:
Katie Livingston○
(pool rank #8)
Worst loss:
Aleks Roseneder●
(pool rank #15)
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Clean hit ratio: 15 landed vs 6 taken (71%) - division avg 47%
✓
Win rate: 4/4 pool matches (100%)
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Avg 0 scored, 2 conceded per match (net -2)
✓
Best win: Katie Livingston (pool rank #8)
✗
Worst loss: Aleks Roseneder (pool rank #15)
Pools
4W-0L
(Pool 5, advanced)
Elim
0W-1L
(reached Top 16)
Pool 5
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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.
10 exch
5 clean 2 AB 3 no-exchange
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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.
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.
Elimination
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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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