Real Forte Querceta vs Crema: result 3-2 and analysis
Serie D - Girone DGroup D - 8Kick-off on October 9, 2022 at 01:00 PM (UTC)Stadio Comunale Carlo Necchi, Forte dei Marmi
Full time
What was the result of Real Forte Querceta vs Crema?
Real Forte Querceta won 3-2 on October 9, 2022.
Goalscorers
- 18′?Real Forte Querceta
- 27′199870Real Forte Querceta
- 28′?Crema
- 56′?Crema
- 76′?Real Forte Querceta
What is the recent form of both teams?
Over their last 15 matches in all competitions, Real Forte Querceta have 5 wins, 7 draws and 3 defeats; Crema have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2022 | Fanfulla(home) | 0-0 | Serie D - Girone D |
| Oct 2, 2022 | Pistoiese(away) | 0-0 | Serie D - Girone D |
| Sep 28, 2022 | Correggese(home) | 1-0 | Serie D - Girone D |
| Sep 21, 2022 | United Riccione(away) | 0-0 | Serie D - Girone D |
| Sep 18, 2022 | Scandicci(home) | 3-1 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2022 | Scandicci(away) | 0-0 | Serie D - Girone D |
| Oct 2, 2022 | Ravenna(home) | 1-2 | Serie D - Girone D |
| Sep 28, 2022 | Aglianese(away) | 0-3 | Serie D - Girone D |
| Sep 21, 2022 | Corticella(home) | 4-2 | Serie D - Girone D |
| Sep 18, 2022 | Pistoiese(away) | 1-1 | Serie D - Girone D |
How many goals should we expect?
Real Forte Querceta score 1.1 and concede 1.0 goals per match over their last 15; Crema score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Real Forte Querceta | 1.1 | 1.0 | 6 | 8/15 | 5/15 |
| Crema | 1.1 | 1.9 | 2 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Crema | 8 | 2 | 2 | 4 | 8 | 15 | 8 |
A question about Real Forte Querceta vs Crema?
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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