Prato vs Fossano: result 3-2 and analysis
Serie D - Girone ARegular Season - 18Kick-off on January 5, 2020 at 01:30 PM (UTC)Stadio Lungobisenzio, Prato
Full time
What was the result of Prato vs Fossano?
Prato won 3-2 on January 5, 2020.
Goalscorers
- 24′?Fossano
- 77′?Prato
- 89′?Prato
- 90′?Prato
- 90′?Fossano
What is the recent form of both teams?
Over their last 15 matches in all competitions, Prato have 10 wins, 1 draw and 4 defeats; Fossano have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 22, 2019 | Savona(away) | 2-1 | Serie D - Girone A |
| Dec 15, 2019 | Chieri(home) | 2-0 | Serie D - Girone A |
| Dec 11, 2019 | Sanremese(away) | 1-1 | Serie D - Girone A |
| Dec 8, 2019 | Ligorna(away) | 1-2 | Serie D - Girone A |
| Dec 1, 2019 | Casale(home) | 2-0 | Serie D - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 22, 2019 | Ligorna(away) | 2-2 | Serie D - Girone A |
| Dec 15, 2019 | Savona(home) | 1-2 | Serie D - Girone A |
| Dec 8, 2019 | Sanremese(away) | 1-1 | Serie D - Girone A |
| Dec 4, 2019 | Casale(away) | 1-1 | Serie D - Girone A |
| Dec 1, 2019 | Ghivizzano Borgo Mozzano(home) | 3-2 | Serie D - Girone A |
What does the head-to-head say?
In the last meeting: 0 Prato wins, 0 draws, 1 Fossano win.
| Date | Score | Competition |
|---|---|---|
| Sep 1, 2019 | Fossano 3-2 Prato | Serie D - Girone A |
How many goals should we expect?
Prato score 1.8 and concede 0.9 goals per match over their last 15; Fossano score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Prato | 1.8 | 0.9 | 5 | 7/15 | 6/15 |
| Fossano | 1.4 | 1.1 | 5 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Prato vs Fossano?
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