Match

Numancia vs Gimnastic: result 1-0 and analysis

Segunda DivisiónRegular Season - 5Kick-off on September 17, 2016 at 02:00 PM (UTC)Nuevo Estadio Los Pajaritos, Soria

Numancia
1-0
Gimnastic

Full time

What was the result of Numancia vs Gimnastic?

Numancia won 1-0 on September 17, 2016.

Goalscorers

  • 15′Manuel del Moral FernándezNumancia

Official lineup for Numancia vs Gimnastic

The starting elevens fielded at kick-off.

Numancia

4-2-3-1
  1. 11Nacho Sánchez
  1. 7Manuel del Moral Fernández
  2. 14Luis Valcarce
  3. 19Ruíz de Galarreta
  1. 21Marc Mateu
  2. 6Iñigo Pérez
  1. 10Julio Álvarez Mosquera
  2. 17Unai Medina
  3. 24A. Callens
  4. 5Regalón
  1. 1M. Mohamedi

Gimnastic

4-2-3-1
  1. 14Ikechukwu Uche
  1. 8L. Madinda
  2. 15J. Delgado
  3. 10Juan Muñiz
  1. 23Tejera
  2. 20Cordero
  1. 2Gerard Valentín
  2. 4Xavi Molina
  3. 18D. Suzuki
  4. 3Mossa
  1. 13Diego Sebastián Saja
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What is the recent form of both teams?

Over their last 4 matches in all competitions, Numancia have 0 wins, 3 draws and 1 defeat; Gimnastic have 0, 3 and 1.

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

Numancia
DateOpponentScoreCompetition
Sep 10, 2016Reus(away)1-1Segunda División
Sep 4, 2016Alcorcon(home)1-1Segunda División
Aug 26, 2016Getafe(away)0-0Segunda División
Aug 21, 2016Levante(home)0-1Segunda División
Gimnastic
DateOpponentScoreCompetition
Sep 11, 2016Alcorcon(away)0-1Segunda División
Sep 4, 2016Levante(home)1-1Segunda División
Aug 28, 2016Huesca(away)1-1Segunda División
Aug 21, 2016Lugo(home)2-2Segunda División

How many goals should we expect?

Numancia score 0.5 and concede 0.8 goals per match over their last 4; Gimnastic score 1.0 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Numancia0.50.812/40/4
Gimnastic1.01.303/41/4

Over the last 4 matches in all competitions.

A question about Numancia vs Gimnastic?

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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