Cascina vs Poggibonsi: result 0-1 and analysis
Serie D - Girone EGroup E - 17Kick-off on January 23, 2022 at 01:30 PM (UTC)Stadio Redini, Cascina
Full time
What was the result of Cascina vs Poggibonsi?
Poggibonsi won 0-1 on January 23, 2022.
Goalscorers
- 82′?Poggibonsi
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cascina have 3 wins, 4 draws and 8 defeats; Poggibonsi have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 22, 2021 | Montespaccato(away) | 0-2 | Serie D - Girone E |
| Dec 18, 2021 | Rieti(away) | 2-0 | Serie D - Girone E |
| Dec 12, 2021 | Sporting Trestina(home) | 0-1 | Serie D - Girone E |
| Dec 8, 2021 | Pro Livorno(away) | 3-2 | Serie D - Girone E |
| Dec 5, 2021 | Unipomezia(home) | 0-1 | Serie D - Girone E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 22, 2021 | Pianese(home) | 3-0 | Serie D - Girone E |
| Dec 19, 2021 | Pro Livorno(home) | 2-1 | Serie D - Girone E |
| Dec 12, 2021 | San Donato Tavarnelle(away) | 2-1 | Serie D - Girone E |
| Dec 8, 2021 | Tiferno Lerchi(home) | 2-0 | Serie D - Girone E |
| Dec 5, 2021 | Sangiovannese(away) | 1-1 | Serie D - Girone E |
How many goals should we expect?
Cascina score 0.9 and concede 1.4 goals per match over their last 15; Poggibonsi score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cascina | 0.9 | 1.4 | 3 | 6/15 | 6/15 |
| Poggibonsi | 1.7 | 0.7 | 6 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Poggibonsi | 34 | 7 | 10 | 17 | 29 | 46 | 31 |
A question about Cascina vs Poggibonsi?
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