Mantova vs Pordenone: result 0-2 and analysis
Serie C - Girone ARegular Season - 4Kick-off on September 13, 2016 at 04:30 PM (UTC)Stadio Danilo Martelli, Mantova
Full time
What was the result of Mantova vs Pordenone?
Pordenone won 0-2 on September 13, 2016.
Goalscorers
- 21′Paulo AzziPordenone
- 79′R. MartignagoPordenone
Official lineup for Mantova vs Pordenone
The starting elevens fielded at kick-off.
Mantova
- 9Mattia Marchi
- 6Filippo Carini
- 7R. Zammarini
- 8Silvano Raggio Garibaldi
- 10G. Caridi
- 24P. Regoli
- 1F. Bonato
- 3S. Romeo
- 14L. Maccabiti
- 2A. Bandini
- 17Angelo Siniscalchi
Pordenone
- 9Rachid Arma
- 23Stefano Pietribiasi
- 26G. Misuraca
- 7Paulo Azzi
- 8S. Burrai
- 20Matteo Buratto
- 3M. De Agostini
- 4Mirko Stefani
- 5A. Ingegneri
- 11D. Semenzato
- 1M. Tomei
What is the recent form of both teams?
Over their last 3 matches in all competitions, Mantova have 1 win, 2 draws and 0 defeats; Pordenone have 2, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Sambenedettese(away) | 3-1 | Serie C - Girone A |
| Sep 3, 2016 | Venezia(home) | 0-0 | Serie C - Girone A |
| Aug 27, 2016 | Ancona(away) | 1-1 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Teramo(home) | 3-1 | Serie C - Girone A |
| Sep 3, 2016 | Forli(away) | 2-0 | Serie C - Girone A |
| Aug 27, 2016 | Gubbio(home) | 1-1 | Serie C - Girone A |
| Aug 7, 2016 | Ternana(away) | 0-2 | Coppa Italia |
How many goals should we expect?
Mantova score 1.3 and concede 0.7 goals per match over their last 3; Pordenone score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mantova | 1.3 | 0.7 | 1 | 2/3 | 1/3 |
| Pordenone | 1.5 | 1.0 | 1 | 2/4 | 1/4 |
Over the last 3 matches in all competitions.
A question about Mantova vs Pordenone?
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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