Casale vs Castanese: result 0-2 and analysis
Serie D - Girone AGroup A - 34Kick-off on April 6, 2023 at 01:00 PM (UTC)Stadio Natale Palli, Casale Monferrato
Full time
What was the result of Casale vs Castanese?
Castanese won 0-2 on April 6, 2023.
Goalscorers
- 73′?Castanese (o.g.)
- 85′?Castanese
What is the recent form of both teams?
Over their last 15 matches in all competitions, Casale have 0 wins, 1 draw and 14 defeats; Castanese have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2023 | Bra(away) | 1-3 | Serie D - Girone A |
| Mar 19, 2023 | Legnano(home) | 0-1 | Serie D - Girone A |
| Mar 11, 2023 | Fezzanese(away) | 0-5 | Serie D - Girone A |
| Mar 5, 2023 | Sestri Levante(home) | 0-6 | Serie D - Girone A |
| Feb 26, 2023 | Stresa(away) | 0-2 | Serie D - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2023 | PDHAE(home) | 2-1 | Serie D - Girone A |
| Mar 19, 2023 | Fossano(away) | 3-4 | Serie D - Girone A |
| Mar 12, 2023 | Derthona(home) | 1-0 | Serie D - Girone A |
| Mar 5, 2023 | Castellanzese(away) | 1-2 | Serie D - Girone A |
| Feb 26, 2023 | Asti(home) | 2-2 | Serie D - Girone A |
What does the head-to-head say?
In the last meeting: 0 Casale wins, 0 draws, 1 Castanese win.
| Date | Score | Competition |
|---|---|---|
| Nov 27, 2022 | Castanese 1-0 Casale | Serie D - Girone A |
How many goals should we expect?
Casale score 0.5 and concede 3.3 goals per match over their last 15; Castanese score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Casale | 0.5 | 3.3 | 0 | 5/15 | 10/15 |
| Castanese | 0.9 | 1.5 | 4 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Casale vs Castanese?
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