Match

CF Pachuca vs Necaxa: result 1-0 and analysis

Liga MXApertura - 3Kick-off on July 31, 2016 at 12:06 AM (UTC)Estadio Hidalgo, Pachuca de Soto

CF Pachuca
1-0
Necaxa

Full time

What was the result of CF Pachuca vs Necaxa?

CF Pachuca won 1-0 on July 31, 2016.

Goalscorers

  • 38′S. MedinaCF Pachuca

Official lineup for CF Pachuca vs Necaxa

The starting elevens fielded at kick-off.

CF Pachuca

4-2-3-1
  1. 31I. Ochoa
  1. 19W. Morelo
  2. 6R. López
  3. 14S. Almeida
  1. 12E. García
  2. 10J. Urretaviscaya
  1. 16J. Hernández
  2. 33S. Medina
  3. 23Ó. Murillo
  4. 4O. González
  1. 21Ó. Pérez

Necaxa

4-2-3-1
  1. 10Diego Nicolás Riolfo Pérez
  1. 18F. Gallegos
  2. 19C. Riaño
  3. 13É. Vera
  1. 22E. Puch
  2. 8Xavier Iván Báez Gamiño
  1. 16M. Iturra
  2. 2B. Beckeles
  3. 33M. De Luna
  4. 3Marcos Andrés González Salazar
  1. 1M. Barovero
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What is the recent form of both teams?

Over their last 2 matches in all competitions, CF Pachuca have 2 wins, 0 draws and 0 defeats; Necaxa have 0, 2 and 0.

The competition is shown for every match: in pre-season, several of these games are friendlies.

CF Pachuca
DateOpponentScoreCompetition
Jul 23, 2016Jaguares de Chiapas(away)2-0Liga MX
Jul 17, 2016Leon(home)5-1Liga MX
Necaxa
DateOpponentScoreCompetition
Jul 24, 2016Leon(away)0-0Liga MX
Jul 17, 2016Cruz Azul(home)0-0Liga MX

How many goals should we expect?

CF Pachuca score 3.5 and concede 0.5 goals per match over their last 2; Necaxa score 0.0 and concede 0.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
CF Pachuca3.50.511/21/2
Necaxa0.00.020/20/2

Over the last 2 matches in all competitions.

Where do both teams sit in the table?

CF Pachuca sit 11th in Liga MX (13 points from 11 matches) and Necaxa sit 17th (9 points from 11 matches).

2026 standings
#ClubPWDLGFGAPts
11CF Pachuca11344181413
17Necaxa1123615239

A question about CF Pachuca vs Necaxa?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

How does Footlab AI compute this prediction?

The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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