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FightIndex
Middleweight boxing · 2010s

Kaye Scott

70″ reach · 0% reach advantage · 11th percentile

Kaye Scott has a reach of 70″ against a height of 70″ — a reach advantage of 0%, unusually short for middleweight boxing and the 11th percentile of the 123 compared here.

Reach in context

Reach advantage

0%

70″ reach on a 70″ frame

Compared against 123 middleweight boxing fighters. Median 2.83%.

-3.8%middleweight boxing reach advantage8.7%
Measurements
Reach70″ (177.8 cm)18th pct
Height70″ (177.8 cm)45th pct
StanceOrthodox
DivisionMiddleweight Boxing
Peak era2010s
CountryAustralia

Record

Boxing record

5–1

7 bouts on record

Finish rate

0%

of wins ended inside the distance — middleweight boxing median 60%, 0th percentile

By decision: 5 (100%)
  • By decision 100%

The career, bout by bout

5 recorded bouts from 2023 to 2025. Every incumbent shows this as a table you have to read; here it is as a shape you can see.

win vs Connie Chan (2023)loss vs Desley Robinson (2024)win vs Thanthip Wannaphrom (2024)win vs Macca Jean (2024)win vs Olivia Curry (2025)
winlossdraw / NC2023–2025

Career span

3y

2023–2025

Longest unbeaten run

3

without a loss — draws do not break it

Busiest year

2024

3 bouts

Recorded bouts

5

5 with a date

Fights

YearResultOpponentMethodRd
2025 W Olivia Curry Decision10
2024 L Desley Robinson Decision10
2024 W Thanthip Wannaphrom Decision4
2024 W Macca Jean Decision6
2023 W Connie Chan Decision8

How this is worked out

  1. Measurements and records are read from the fighter's English Wikipedia infobox; the fight list is parsed from the article's own results table.
  2. Reach advantage is (reach − height) ÷ height as a percentage, so fighters of different sizes compare directly.
  3. Percentiles rank this fighter among the 123 middleweight boxing fighters in the dataset — chosen because it is the most specific group of at least 30 that this fighter belongs to.
Reach advantage = (reach − height) ÷ height × 100

Full methodology →

Source: Kaye Scott on English Wikipedia (CC BY-SA 4.0), as of 2026-07-07. Percentiles and derived figures computed here.

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Published by

Amit Sharma

Auckland real-estate agent and marketer. Builds free, sourced data tools.