_shareToast = false, 2200)"
x-show="_shareToast" x-transition.opacity x-cloak
class="fixed bottom-4 left-1/2 -translate-x-1/2 z-50 rounded-full bg-text text-surface px-4 py-2 text-xs font-medium shadow-lg pointer-events-none"
role="status" aria-live="polite">
Jessica Coverley●
Full profile ↗
Ursa Major HEMA Academy●
· Australia
updated 41d ago
updating...
Report an issue with this data
Finished 7th
Pool rank #6
Wins 1
Points diff
+5
Exchange analytics
Clean hit ratio
75%
field 42%
AB effectiveness
0%
AB defence
71%
field 82%
Pts / match
10 / 8.3
Best win:
Gos Zi Yang Tan●
(pool rank #7)
Worst loss:
Tyler Dolstra●
(pool rank #4)
✓
Clean hit ratio: 6 landed vs 2 taken (75%) - division avg 42%
✗
Win rate: 1/3 pool matches (33%)
✓
Avg 10 scored, 8.3 conceded per match (net +1.7)
·
Afterblow defence rate: 71% - division avg 82%
✓
Best win: Gos Zi Yang Tan (pool rank #7)
✗
Worst loss: Tyler Dolstra (pool rank #4)
Pools
1W-2L
(Pool 2 - Yellow room)
Pool 2 - Yellow room
6 exch
2 clean 2 no-exchange
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.
6 exch
6 clean
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.
View finals bracket →
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
|
|
Want to scout someone else in the same pool?
Scout another fighter →