Carpi vs Latina: result 2-0 and analysis
Serie BRegular Season - 9Kick-off on October 15, 2016 at 01:00 PM (UTC)Stadio Sandro Cabassi, Carpi
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What was the result of Carpi vs Latina?
Carpi won 2-0 on October 15, 2016.
Goalscorers
- 5′A. Di GaudioCarpi
- 52′A. Di GaudioCarpi
Official lineup for Carpi vs Latina
The starting elevens fielded at kick-off.
Carpi
4-4-2- 15K. Lasagna
- 11A. Di Gaudio
- 10Andrea Catellani
- 17M. Crimi
- 19Lorenzo Pasciuti
- 20L. Lollo
- 3G. Letizia
- 21S. Romagnoli
- 5A. Struna
- 13F. Poli
- 1S. Colombi
Latina
3-5-2- 10R. Boakye
- 35D. Paponi
- 29M. Rocca
- 18M. Acosty
- 30A. De Vitis
- 21Luca Di Matteo
- 17MacDonald Mariga Wanyama
- 13M. Coppolaro
- 3M. Bruscagin
- 5P. Dellafiore
- 12C. Pinsoglio
What is the recent form of both teams?
Over their last 15 matches in all competitions, Carpi have 6 wins, 5 draws and 4 defeats; Latina have 2, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2016 | Spezia(away) | 1-0 | Serie B |
| Oct 3, 2016 | Pisa(home) | 1-1 | Serie B |
| Sep 24, 2016 | Virtus Entella(home) | 2-1 | Serie B |
| Sep 20, 2016 | Brescia(away) | 2-2 | Serie B |
| Sep 16, 2016 | Frosinone(home) | 0-0 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2016 | Trapani(home) | 2-0 | Serie B |
| Oct 2, 2016 | Cesena(away) | 2-2 | Serie B |
| Sep 24, 2016 | Ternana(home) | 1-1 | Serie B |
| Sep 20, 2016 | Novara(away) | 2-2 | Serie B |
| Sep 17, 2016 | Benevento(home) | 1-1 | Serie B |
How many goals should we expect?
Carpi score 1.1 and concede 1.1 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 |
|---|---|---|---|---|---|
| Carpi | 1.1 | 1.1 | 5 | 8/15 | 6/15 |
| Latina | 1.1 | 1.3 | 3 | 6/10 | 4/10 |
Over the last 15 matches in all competitions.
A question about Carpi vs Latina?
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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