Giana Erminio vs Fanfulla: result 2-0 and analysis
Serie D - Girone DGroup D - 35Kick-off on April 16, 2023 at 01:00 PM (UTC)Stadio Comunale, Gorgonzola
Full time
What was the result of Giana Erminio vs Fanfulla?
Giana Erminio won 2-0 on April 16, 2023.
Goalscorers
- 72′D. PintoGiana Erminio
- 89′?Giana Erminio
What is the recent form of both teams?
Over their last 15 matches in all competitions, Giana Erminio have 7 wins, 5 draws and 3 defeats; Fanfulla have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2023 | Crema(away) | 3-1 | Serie D - Girone D |
| Apr 2, 2023 | Scandicci(home) | 4-1 | Serie D - Girone D |
| Mar 23, 2023 | Adriese(home) | 1-0 | Coppa Italia Serie D |
| Mar 19, 2023 | Sammaurese(away) | 1-2 | Serie D - Girone D |
| Mar 12, 2023 | Lentigione(home) | 5-1 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2023 | Mezzolara(home) | 1-1 | Serie D - Girone D |
| Apr 2, 2023 | Athletic Carpi(away) | 1-4 | Serie D - Girone D |
| Mar 19, 2023 | Pistoiese(home) | 0-2 | Serie D - Girone D |
| Mar 12, 2023 | Salsomaggiore(away) | 3-0 | Serie D - Girone D |
| Mar 5, 2023 | Forli(home) | 0-3 | Serie D - Girone D |
What does the head-to-head say?
In the last meeting: 1 Giana Erminio win, 0 draws, 0 Fanfulla wins.
| Date | Score | Competition |
|---|---|---|
| Dec 4, 2022 | Fanfulla 1-4 Giana Erminio | Serie D - Girone D |
Last archived meeting: Fanfulla vs Giana Erminio on Dec 4, 2022
How many goals should we expect?
Giana Erminio score 1.7 and concede 0.9 goals per match over their last 15; Fanfulla score 1.1 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Giana Erminio | 1.7 | 0.9 | 4 | 9/15 | 7/15 |
| Fanfulla | 1.1 | 1.8 | 3 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
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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