Getafe vs Numancia: result 0-0 and analysis
Segunda DivisiónRegular Season - 2Kick-off on August 26, 2016 at 06:00 PM (UTC)Estadio Coliseum, Getafe
Full time
What was the result of Getafe vs Numancia?
Getafe and Numancia drew 0-0 on August 26, 2016.
Official lineup for Getafe vs Numancia
The starting elevens fielded at kick-off.
Getafe
4-4-2- 19Jorge Molina
- 10S. Šćepović
- 5P. Anton
- 8Mehdi Lacen
- 18F. Castillón
- 20Dani Pacheco
- 17N. Gorosito
- 22D. Suárez
- 21R. Feltscher
- 6Daniel Alberto Díaz
- 13Guaita
Numancia
4-2-3-1- 11Nacho Sánchez
- 20Pablo Valcarce
- 14Luis Valcarce
- 19Ruíz de Galarreta
- 21Marc Mateu
- 6Iñigo Pérez
- 10Julio Álvarez Mosquera
- 24A. Callens
- 5Regalón
- 22Orfila
- 1M. Mohamedi
What is the recent form of both teams?
Over their last 15 matches in all competitions, Getafe have 2 wins, 5 draws and 8 defeats; Numancia have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2016 | Mirandes(away) | 1-1 | Segunda División |
| May 15, 2016 | Real Betis(away) | 1-2 | La Liga |
| May 8, 2016 | Sporting Gijon(home) | 1-1 | La Liga |
| May 1, 2016 | Deportivo La Coruna(away) | 2-0 | La Liga |
| Apr 24, 2016 | Valencia(home) | 2-2 | La Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2016 | Levante(home) | 0-1 | Segunda División |
How many goals should we expect?
Getafe score 0.8 and concede 2.1 goals per match over their last 15; Numancia score 0.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Getafe | 0.8 | 2.1 | 1 | 8/15 | 7/15 |
| Numancia | 0.0 | 1.0 | 0 | 0/1 | 0/1 |
Over the last 15 matches in all competitions.
A question about Getafe vs Numancia?
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