Montana Nicholson●
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Bladehaven Historical Fencing●
· United States
updated 4h ago
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Pool rank #24
Wins 2
Points diff
+19
Exchange analytics
Clean hit ratio
56%
field 46%
AB effectiveness
33%
AB defence
67%
field 55%
Pts / match
0.7 / 5.3
Best win:
Dawn English●
(pool rank #41)
Worst loss:
Samuel Ryals●
(pool rank #9)
✓
Clean hit ratio: 15 landed vs 12 taken (56%) - division avg 46%
✓
Win rate: 2/3 pool matches (67%)
·
Avg 0.7 scored, 5.3 conceded per match (net -4.6)
✗
4 double hits from 34 total exchanges (12%)
✓
Best win: Dawn English (pool rank #41)
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Worst loss: Samuel Ryals (pool rank #9)
Pools
2W-1L
(Pool 1)
Elim
1W-1L
(reached Top 32)
Pool 1
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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.
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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.
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.
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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