Latina vs Spezia: result 0-0 and analysis
Serie BRegular Season - 2Kick-off on September 4, 2016 at 06:30 PM (UTC)Stadio Comunale Domenico Francioni, Latina
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What was the result of Latina vs Spezia?
Latina and Spezia drew 0-0 on September 4, 2016.
Official lineup for Latina vs Spezia
The starting elevens fielded at kick-off.
Latina
3-5-2- 35D. Paponi
- 28C. D'Urso
- 18M. Acosty
- 30A. De Vitis
- 8L. Scaglia
- 17MacDonald Mariga Wanyama
- 4Pol García
- 27Gilberto
- 23R. Brosco
- 5P. Dellafiore
- 12C. Pinsoglio
Spezia
4-3-3- 23A. Piu
- 10Antonio Piccolo
- 9Nenê
- 15Jon Errasti
- 7D. Sciaudone
- 30N. Pulzetti
- 5F. De Col
- 3N. Valentini
- 17F. Migliore
- 19Claudio Terzi
- 1L. Chichizola
What is the recent form of both teams?
Over their last 3 matches in all competitions, Latina have 1 win, 0 draws and 2 defeats; Spezia have 2, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2016 | Hellas Verona(away) | 1-4 | Serie B |
| Aug 13, 2016 | Novara(away) | 0-1 | Coppa Italia |
| Aug 7, 2016 | Matera(home) | 1-0 | Coppa Italia |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2016 | Salernitana(home) | 1-1 | Serie B |
| Aug 13, 2016 | Udinese(away) | 3-2 | Coppa Italia |
| Aug 6, 2016 | Modena(home) | 1-0 | Coppa Italia |
How many goals should we expect?
Latina score 0.7 and concede 1.7 goals per match over their last 3; Spezia score 1.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Latina | 0.7 | 1.7 | 1 | 1/3 | 1/3 |
| Spezia | 1.7 | 1.0 | 1 | 2/3 | 1/3 |
Over the last 3 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 19 | Spezia | 38 | 8 | 11 | 19 | 43 | 59 | 35 |
A question about Latina vs Spezia?
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