Sawyer Featham●
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Noble Science Academy●
· United States
updated 14d ago
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Pool rank #13
Wins 3
Points diff
+4
Advanced
Exchange analytics
Clean hit ratio
68%
field 48%
AB effectiveness
0%
AB defence
100%
field 80%
Pts / match
7 / 2
Best win:
Scott Lipsig●
(pool rank #20)
Worst loss:
Eric Zhong●
(pool rank #31)
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Clean hit ratio: 17 landed vs 8 taken (68%) - division avg 48%
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Win rate: 3/4 pool matches (75%)
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Avg 7 scored, 2 conceded per match (net +5)
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4 double hits from 30 total exchanges (13%)
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Best win: Scott Lipsig (pool rank #20)
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Worst loss: Eric Zhong (pool rank #31)
Pools
3W-1L
(Pool 5, advanced)
Elim
1W-1L
(reached Eighth-Finals)
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.
6 exch
4 clean
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.
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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