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FightIndex
Featherweight boxing · 2000s

Nehomar Cermeño

69.5″ reach · +5.31% reach advantage · 84th percentile

Nehomar Cermeño has a reach of 69.5″ against a height of 66″ — a reach advantage of +5.31%, long for featherweight boxing and the 84th percentile of the 101 compared here.

Reach in context

Reach advantage

+5.31%

69.5″ reach on a 66″ frame

Compared against 101 featherweight boxing fighters. Median 3%.

-3.7%featherweight boxing reach advantage9.3%
Measurements
Reach69.5″ (176.5 cm)78th pct
Height66″ (167.6 cm)39th pct
StanceOrthodox
DivisionFeatherweight Boxing
competed at 3: bantamweight, super bantamweight, featherweight — compared here against the last
Peak era2000s
CountryVenezuela

Record

Boxing record

27–8

37 bouts on record

Finish rate

59%

of wins ended inside the distance — featherweight boxing median 51%, 61st percentile

By knockout: 16 (59%)By decision: 11 (41%)
  • By knockout 59%
  • By decision 41%

The career, bout by bout

33 recorded bouts from 2004 to 2018. Every incumbent shows this as a table you have to read; here it is as a shape you can see.

2010 win vs Moises Rodriguez (2004)win vs Carlos Loaiza (2004)win vs Dioberto Julio (2005)win vs Miguel Dionisio Cogollo Valdez (2005)win vs Ramiro Lara (2005)win vs Irving Berry (2005)win vs Alexander Alonso (2005)win vs Leonardo Vicente Fernandez (2006)win vs Leopoldo Arrocha (2006)win vs Carlos Guevara (2006)win vs Marino Montiel (2007)win vs Abraham Irias (2007)win vs Andrey Kostin (2007)win vs Ravil Mukhamadiyarov (2007)win vs Sergei Tasimov (2008)win vs Marco Antonio Hernandez (2008)win vs Alejandro Valdez (2009)win vs Cristian Mijares (2009)win vs Hugo Berrio (2010)loss vs Anselmo Moreno (2010)draw vs Yoandris Salinas (2011)loss vs Fernando Montiel (2011)loss vs Victor Terrazas (2011)loss vs Alexander Bakhtin (2012)win vs Óscar Escandón (2013)win vs Eduardo Garcia (2013)? vs Fredy Pengally (2015)win vs Qiu Xiaojun (2016)win vs Anurak Thisa (2016)win vs Lester Medrano (2016)loss vs Can Xu (2017)loss vs Shun Kubo (2017)loss vs Duarn Vue (2018)
winlossdraw / NC2004–2018

Career span

15y

2004–2018

Longest unbeaten run

19

without a loss — draws do not break it

Busiest year

2005

5 bouts

Recorded bouts

33

33 with a date

Fights

YearResultOpponentMethodRd
2018 L Duarn Vue Decision12
2017 L Can Xu KO/TKO7
2017 L Shun Kubo KO/TKO10
2016 W Qiu Xiaojun Decision12
2016 W Anurak Thisa KO/TKO3
2016 W Lester Medrano Decision9
2015 ? Fredy Pengally 2
2013 W Óscar Escandón Decision12
2013 W Eduardo Garcia KO/TKO2
2012 L Alexander Bakhtin Decision12
2011 D Yoandris Salinas Draw8
2011 L Fernando Montiel 3
2011 L Victor Terrazas Decision12
2010 W Hugo Berrio KO/TKO1
2010 L Anselmo Moreno Decision12
2009 W Alejandro Valdez KO/TKO11
2009 W Cristian Mijares Decision12
2008 W Sergei Tasimov KO/TKO3
2008 W Marco Antonio Hernandez Decision10
2007 W Marino Montiel KO/TKO2
2007 W Abraham Irias KO/TKO3
2007 W Andrey Kostin 8
2007 W Ravil Mukhamadiyarov Decision6
2006 W Leonardo Vicente Fernandez Decision10
2006 W Leopoldo Arrocha KO/TKO7
2006 W Carlos Guevara KO/TKO6
2005 W Dioberto Julio KO/TKO8
2005 W Miguel Dionisio Cogollo Valdez KO/TKO1
2005 W Ramiro Lara KO/TKO3
2005 W Irving Berry Decision6
2005 W Alexander Alonso 4
2004 W Moises Rodriguez 1
2004 W Carlos Loaiza 4

8 of these opponents have their own page here.

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 101 featherweight 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: Nehomar Cermeño on English Wikipedia (CC BY-SA 4.0), as of 2026-07-07. Percentiles and derived figures computed here.

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Amit Sharma

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