Reus vs Numancia: result 1-1 and analysis
Segunda DivisiónRegular Season - 4Kick-off on September 10, 2016 at 04:00 PM (UTC)Estadio Camp Nou Municipal, Reus
Full time
What was the result of Reus vs Numancia?
Reus and Numancia drew 1-1 on September 10, 2016.
Goalscorers
- 49′Unai MedinaNumancia
- 68′Ricardo VazReus
Official lineup for Reus vs Numancia
The starting elevens fielded at kick-off.
Reus
4-2-3-1- 11Fran Carbià
- 9Edgar Hernández
- 8Ramón Folch
- 20J. Diaz
- 24Miramón
- 22Aritz López Garai
- 2Alberto Benito
- 3Ángel Martínez
- 18Pichu Atienza
- 4Jesús Olmo Lozano
- 13Edgar Badia
Numancia
4-2-3-1- 9J. Acuña
- 7Manuel del Moral Fernández
- 14Luis Valcarce
- 8Alberto Escassi
- 21Marc Mateu
- 6Iñigo Pérez
- 10Julio Álvarez Mosquera
- 17Unai Medina
- 24A. Callens
- 5Regalón
- 1M. Mohamedi
What is the recent form of both teams?
Over their last 3 matches in all competitions, Reus have 1 win, 2 draws and 0 defeats; Numancia have 0, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2016 | Getafe(away) | 1-1 | Segunda División |
| Aug 27, 2016 | Mirandes(home) | 1-1 | Segunda División |
| Aug 20, 2016 | Mallorca(away) | 1-0 | Segunda División |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2016 | Alcorcon(home) | 1-1 | Segunda División |
| Aug 26, 2016 | Getafe(away) | 0-0 | Segunda División |
| Aug 21, 2016 | Levante(home) | 0-1 | Segunda División |
How many goals should we expect?
Reus score 1.0 and concede 0.7 goals per match over their last 3; Numancia score 0.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Reus | 1.0 | 0.7 | 1 | 2/3 | 0/3 |
| Numancia | 0.3 | 0.7 | 1 | 1/3 | 0/3 |
Over the last 3 matches in all competitions.
A question about Reus vs Numancia?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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