Brady O'Callaghan●
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Queen City Sword Guild●
· United States
updated 2d ago
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Finished 12th
Pool rank #6
Wins 3
Points diff
+10
Exchange analytics
Clean hit ratio
55%
field 48%
Pts / match
6.8 / 4.3
Best win:
Jack Seyler●
(pool rank #4)
Worst loss:
Loyd Briski●
(pool rank #11)
✓
Clean hit ratio: 24 landed vs 20 taken (55%) - division avg 48%
✓
Win rate: 3/4 pool matches (75%)
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Avg 6.8 scored, 4.3 conceded per match (net +2.5)
✗
9 double hits from 53 total exchanges (17%)
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Best win: Jack Seyler (pool rank #4)
✗
Worst loss: Loyd Briski (pool rank #11)
Pools
3W-1L
(Pool 3)
Elim
0W-1L
(reached Top 15)
Pool 3
Loading exchanges...
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.
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
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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