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FightIndex
2020s boxing · 2020s

Reese Lynch

3–0 · 3 recorded bouts · 2025–2026

Reese Lynch finished 33% of 3 wins inside the distance — the 19th percentile for 2020s boxing, where the median is 59%. No reach is on record, so this page compares record rather than measurements.

What is on record

Measurements
Reachnot recorded
Heightnot recorded
Stance
DivisionSuper Lightweight Boxing
Peak era2020s
CountryUnited Kingdom

Wikipedia carries no reach figure for Reese Lynch, so the reach-advantage comparison this site is built on cannot be computed. Everything below comes from the record instead.

win vs Jakub Laskowski (2025)win vs Jonatas Rodrigo Gomes de Oliveira (2025)win vs Dan Booth (2026)
winlossdraw / NC2025–2026

Record

Boxing record

3–0

3 bouts on record

Finish rate

33%

of wins ended inside the distance — 2020s boxing median 59%, 19th percentile

By knockout: 1 (33%)By decision: 2 (67%)
  • By knockout 33%
  • By decision 67%

The career, bout by bout

3 recorded bouts from 2025 to 2026. Every incumbent shows this as a table you have to read; here it is as a shape you can see.

Career span

2y

2025–2026

Longest unbeaten run

3

without a loss — draws do not break it

Busiest year

2025

2 bouts

Recorded bouts

3

3 with a date

Fights

YearResultOpponentMethodRd
2026 W Dan Booth Decision6
2025 W Jakub Laskowski Decision6
2025 W Jonatas Rodrigo Gomes de Oliveira KO/TKO2

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 377 2020s 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: Reese Lynch on English Wikipedia (CC BY-SA 4.0), as of 2026-08-01. 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.