Prato vs Verbania: result 5-0 and analysis
Serie D - Girone ARegular Season - 20Kick-off on January 19, 2020 at 01:30 PM (UTC)Stadio Lungobisenzio, Prato
Full time
What was the result of Prato vs Verbania?
Prato won 5-0 on January 19, 2020.
Goalscorers
- 13′M. CelliniPrato
- 55′G. TomiPrato
- 58′?Prato
- 78′?Prato
- 89′Iacopo FanucchiPrato (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Prato have 9 wins, 1 draw and 5 defeats; Verbania 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 |
|---|---|---|---|
| Jan 12, 2020 | Seravezza(away) | 2-4 | Serie D - Girone A |
| Jan 5, 2020 | Fossano(home) | 3-2 | Serie D - Girone A |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 12, 2020 | Savona(home) | 2-2 | Serie D - Girone A |
| Jan 5, 2020 | Ligorna(away) | 3-2 | Serie D - Girone A |
| Dec 22, 2019 | Casale(away) | 1-3 | Serie D - Girone A |
| Dec 15, 2019 | Sanremese(home) | 0-3 | Serie D - Girone A |
| Dec 11, 2019 | Borgosesia(home) | 0-0 | Serie D - Girone A |
What does the head-to-head say?
In the last meeting: 1 Prato win, 0 draws, 0 Verbania wins.
| Date | Score | Competition |
|---|---|---|
| Sep 15, 2019 | Verbania 1-5 Prato | Serie D - Girone A |
How many goals should we expect?
Prato score 1.7 and concede 1.2 goals per match over their last 15; Verbania score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Prato | 1.7 | 1.2 | 4 | 8/15 | 7/15 |
| Verbania | 0.9 | 1.2 | 4 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Prato vs Verbania?
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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