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Giu Williamson
Weapons & Rank/ratings
Underrepresented Genders & Women's Steel Sword and Buckler
Regional
Current
1058
#95
Peak
1059
April 2026
Record
0W · 0L
Last
April 2026
Underrepresented Genders & Women's Steel Longsword
Current
888
#881
Peak
889
February 2026
Record
2W · 3L
Last
February 2026
Scout analysis
Sword & Buckler
3W · 7L (30%)
Sword & Buckler
3W · 7L (30%)
Form
Cooling
Recent 20% vs older 40%
▾
Form
Cooling
Recent 20% vs older 40%
Record: 3W · 7L (30%)
Recent half (5 fights): 20%
Older half (5 fights): 40%
Delta: -20%
Current streak: 2 Losses
Based on 10 recorded sword & buckler fights.
Schedule
Schedule forming
Expectation data pending
▾
Schedule
Schedule forming
Expectation data pending
Quality wins (won as clear underdog): 1
Upset losses (lost as clear favourite): 1
Over/under needs 5+ rated fights - calculating as more data lands.
Expectation stats compare each result with the win chance implied by both fighters' ratings in that division.
Style
Fast starter
5 exchange-coded matches
▾
Style
Fast starter
5 exchange-coded matches
Exchanges per point: 1.93
Avg exchanges / match: 10.8
Doubles / match: 0
First scorer rate: 60%
Dominant wins (shut-out): 0%
Comeback wins (was behind): 100%
Stage
Pool data only
Pool 38%
▾
Stage
Pool data only
Pool 38%
Pool stage: 3W · 5L (38%)
Elimination: needs 3+ coded fights.
Stage tagging depends on upstream division labels - some fights may be uncategorised.
Peak
Peak data pending
Peak volatility low
▾
Peak
Peak data pending
Peak volatility low
Peak is relative to an isolated regional scene - see the "How to read this profile" note below.
Dussack
5W · 1L (83%)
Dussack
5W · 1L (83%)
Form
Building
83% win rate · 6 fights
▾
Form
Building
83% win rate · 6 fights
Record: 5W · 1L (83%)
Trajectory needs 8+ fights - will sharpen as more data lands.
Current streak: 5 Wins
Based on 6 recorded dussack fights.
Schedule
Schedule forming
Expectation data pending
▾
Schedule
Schedule forming
Expectation data pending
Over/under needs 5+ rated fights - calculating as more data lands.
Expectation stats compare each result with the win chance implied by both fighters' ratings in that division.
Style
Building signal
Needs more exchange data
▾
Style
Building signal
Needs more exchange data
Style signal needs per-exchange match data. Once enough of this fighter's
exchanges are recorded, this card will sharpen into scoring tempo, doubles rate,
comeback wins, early vs late scoring, and more.
Stage
Pool data only
Pool 100%
▾
Stage
Pool data only
Pool 100%
Pool stage: 3W · 0L (100%)
Elimination: needs 3+ coded fights.
Stage tagging depends on upstream division labels - some fights may be uncategorised.
Peak
Peak data pending
Peak volatility low
▾
Peak
Peak data pending
Peak volatility low
Peak is relative to an isolated regional scene - see the "How to read this profile" note below.
Longsword
2W · 3L (40%)
Longsword
2W · 3L (40%)
Form
Building
40% win rate · 5 fights
▾
Form
Building
40% win rate · 5 fights
Record: 2W · 3L (40%)
Trajectory needs 8+ fights - will sharpen as more data lands.
Current streak: 1 Loss
Based on 5 recorded longsword fights.
Schedule
Schedule forming
Expectation data pending
▾
Schedule
Schedule forming
Expectation data pending
Over/under needs 5+ rated fights - calculating as more data lands.
Expectation stats compare each result with the win chance implied by both fighters' ratings in that division.
Style
Fast starter
5 exchange-coded matches
▾
Style
Fast starter
5 exchange-coded matches
Exchanges per point: 1.9
Avg exchanges / match: 11.8
Doubles / match: 0
First scorer rate: 80%
Dominant wins (shut-out): 0%
Comeback wins (was behind): 50%
Stage
Pool data only
Pool 50%
▾
Stage
Pool data only
Pool 50%
Pool stage: 2W · 2L (50%)
Elimination: needs 3+ coded fights.
Stage tagging depends on upstream division labels - some fights may be uncategorised.
Peak
At peak
Near career best
▾
Peak
At peak
Near career best
Current rating: 888
Peak rating: 889 (February 2026)
Gap to peak: -1
Peak is relative to an isolated regional scene - see the "How to read this profile" note below.
Reach
2 events · uk · 8 mo active
2 rated weapons
▾
Reach
2 events · uk · 8 mo active
2 rated weapons
Tournaments: 2
Countries fought in: 1 (uk)
Months active: 8
Fights / year: 31.5
Rated weapons: 2
Clubmates
·
Academy of Steel●
(38)
- Melissa Hainsworth●
- Jordan Mock●
- Rhys Howells●
- Sheldon Thorne●
- Pawel Rogowski●
- Cian Jukes●
- Lani Thabit Jones●
- Claire Hodges●
- Emily King●
- Gabriel Sekutowski●
- Lucy Collard●
- Simon Grant●
- Benjamin Blackburn●
- LLoyd Bowen●
- Deedee Davies●
- Matthew Smiles●
- Rhian Hellings●
- Daniel Russell●
- Helena Veryard●
- Inbar Vernia●
- Lee Valentine●
- Michel Capaldo●
- Berni Robst●
- Bryan Jones●
- Chris Evans●
- Guy Reynolds●
- Allan Jenkins●
- Ben Halbert●
- Catrin Edwards●
- Cezary Daniluk●
- Mieszko Kwatek●
- Morgan Rickards●
- Stephen Court●
- Angharad Berrow●
- Carmen Kelsall●
- Mark Gittins●
- Jack Gethin●
- Oscar Lane●
Events & fights
(3)
Herne's Cup Open 2026●
April 2026 · uk
5 fights
▾
April 2026 · uk
Rating outcome
- Underrepresented Genders & Women's Steel Sword and Buckler Rank 99 ▼6 · 1,059.4
WIN
1483 34%
Herne's Cup 2026●
February 2026 · uk
10 fights
▾
February 2026 · uk
Rating outcome
- Underrepresented Genders & Women's Steel Longsword Rank 826 · 889.9
- Underrepresented Genders & Women's Steel Sword and Buckler Rank 94 · 1,040.8
A Midsummer Fight's Dream 2025○
August 2025
No match-level data
6 fights
▾
August 2025
No match-level data
How to read this profile
Rating is Glicko-2: the number shown is score - 2*RD (97.5% confidence lower bound), not raw skill. Inactive fighters "drift down" as RD grows - not because they got worse.
Hemaratings ratings don't factor in match scores, exchange counts, or doubles. Scout's score-margin and style metrics describe HOW a fighter fights, not the rating tier their results earned.
Hemaratings recomputes in batches days-to-weeks after events. A fighter's most recent tournament may not yet be reflected.
Regional At least one of this fighter's ratings is "island" - their rank/percentile is relative to an isolated regional scene, not the global population. Cross-scene rating comparisons are unreliable.