Spal vs Latina: result 0-0 and analysis
Serie BRegular Season - 16Kick-off on November 26, 2016 at 02:00 PM (UTC)Stadio Paolo Mazza, Ferrara
Full time
What was the result of Spal vs Latina?
Spal and Latina drew 0-0 on November 26, 2016.
Official lineup for Spal vs Latina
The starting elevens fielded at kick-off.
Spal
3-5-2- 9A. Cerri
- 7M. Antenucci
- 27P. Ghiglione
- 4M. Arini
- 19L. Mora
- 28P. Schiattarella
- 14K. Bonifazi
- 23F. Vicari
- 5N. Giani
- 24Cristiano Del Grosso
- 12G. Marchegiani
Latina
3-4-3- 7Daniele Corvia
- 19F. Bandinelli
- 21Luca Di Matteo
- 8L. Scaglia
- 17MacDonald Mariga Wanyama
- 4Pol García
- 27Gilberto
- 3M. Bruscagin
- 23R. Brosco
- 5P. Dellafiore
- 12C. Pinsoglio
What is the recent form of both teams?
Over their last 15 matches in all competitions, Spal have 7 wins, 4 draws and 4 defeats; Latina have 3, 8 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2016 | Trapani(away) | 1-1 | Serie B |
| Nov 12, 2016 | Brescia(home) | 3-2 | Serie B |
| Nov 5, 2016 | Novara(away) | 1-0 | Serie B |
| Oct 31, 2016 | Avellino(home) | 3-0 | Serie B |
| Oct 25, 2016 | Frosinone(away) | 1-2 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2016 | Salernitana(home) | 1-1 | Serie B |
| Nov 12, 2016 | Vicenza Virtus(away) | 1-0 | Serie B |
| Nov 5, 2016 | Bari(home) | 2-1 | Serie B |
| Oct 29, 2016 | Cittadella(away) | 1-2 | Serie B |
| Oct 25, 2016 | PRO Vercelli(away) | 1-1 | Serie B |
How many goals should we expect?
Spal score 1.6 and concede 1.2 goals per match over their last 15; Latina score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Spal | 1.6 | 1.2 | 4 | 9/15 | 8/15 |
| Latina | 1.1 | 1.3 | 3 | 11/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Spal vs Latina?
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