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Narnaa Grace

Rating
1419
Record
6W · 10L · 2D (18 fights)
Inactive 34m

Weapons

Underrepresented Genders & Women's Steel Longsword
Inactive
Current
1419
Peak
1439 September 2023
Record
0W · 0L
Last
September 2023
Mixed & Men's Steel Longsword Regional
Current
1080 #4,210
Peak
1100 October 2024
Record
0W · 0L
Last
October 2024
Mixed & Men's Steel Single Sidesword
Inactive
Current
974
Peak
992 April 2024
Record
0W · 0L
Last
April 2024

Scout analysis

Form
Cooling
Recent 33% vs older 58%
Record: 12W · 11L · 2D (48%)
Recent half (12 fights): 33%
Older half (12 fights): 58%
Delta: -25%
Current streak: 1 Loss
Based on 25 recorded longsword fights.
Schedule
Getting ambushed
Avg opponent 1109
Avg opponent rating: 1109
Avg rating of fighters beaten: 1030
Avg rating of fighters who beat them: 1144
Quality wins (vs higher-rated): 1
Upset losses (to lower-rated by 50+): 9
Over/under vs expectation: -1.1 (3 actual / 4.1 expected, n=9)
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 48%
Pool stage: 10W · 11L (48%)
Elimination: needs 3+ coded fights.
Stage tagging depends on upstream division labels - some fights may be uncategorised.
Reach
3 events · nz · 1.1 yrs active
3 rated weapons
Tournaments: 3
Countries fought in: 1 (nz)
Months active: 13
Fights / year: 23.1
Rated weapons: 3
Peak
20 pts off peak
Currently below peak
Current rating: 1419
Peak rating: 1439 (September 2023)
Gap to peak: -20
Peak is relative to an isolated regional scene - see the "How to read this profile" note below.

Events & fights (3)

13 fights
Rating outcome
  • Mixed & Men's Steel Longsword Rank 2748 · 984.9
  • Underrepresented Genders & Women's Steel Longsword Rank 70 · 1,439.8
LOSS
1330
WIN
633
LOSS
1364
LOSS
1118
WIN
Zihan Huang · Auckland Sword and Shield Longsword · Pool Set 2
LOSS
Santiago Cutro · Auckland Sword and Shield Longsword · Pool Set 2
WIN
Brynn Wilde · IronFolk Combat Longsword · Gold Medal Match
WIN
Brynn Wilde · IronFolk Combat Longsword · Pool Set 1
WIN
LOSS
WIN
6 fights
Rating outcome
  • Mixed & Men's Steel Longsword Rank 2830 ▲41 · 1,100.4
LOSS
Christian Whyte · Auckland Longsword Longsword · Pool Set 1
1035 52%
DRAW
Aurora Brown · IronFolk Combat Longsword · Pool Set 1
LOSS
Chris Lynch · Auckland Longsword Longsword · Pool Set 1
1150 49%
LOSS
1318 34%
WIN
1501 21%
LOSS
Atreyu Norman · IronFolk Combat Longsword · Pool Set 2
1290 34%
14 fights
Rating outcome
  • Mixed & Men's Steel Longsword Rank 2576 ▲588 · 1,088.0
  • Mixed & Men's Steel Single Sidesword Rank 519 · 992.7
WIN
Tye Wilson · IronFolk Combat Longsword · Pool Set 1
1119 48%
WIN
866 59%
DRAW
LOSS
Zihan Huang · Auckland Sword and Shield Longsword · Pool Set 1
800 61%
LOSS
Chris Lynch · Auckland Longsword Longsword · Pool Set 2
888 56%
WIN
WIN
Grant Knocker · Whakatane Sword School Sidesword · Pool Set 1
LOSS
Tye Wilson · IronFolk Combat Sidesword · Pool Set 1
WIN
Liam Shaw · Whangarei Medieval Combat Club Sidesword · Pool Set 1
WIN
Nic Johnston · Auckland Sword and Shield Sidesword · Pool Set 1
LOSS
Chris Lynch · Auckland Longsword Sidesword · Pool Set 1
LOSS
LOSS
WIN
David Ball · Whakatane Sword School Sidesword · Pool Set 1

Clubmates · Auckland Sword and Shield (41)

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.