Unipomezia vs Poggibonsi: result 0-1 and analysis
Serie D - Girone EGroup E - 6Kick-off on October 24, 2021 at 01:00 PM (UTC)Stadio Franco Maniscalco, Pomezia
Full time
What was the result of Unipomezia vs Poggibonsi?
Poggibonsi won 0-1 on October 24, 2021.
Goalscorers
- 45′?Poggibonsi
What is the recent form of both teams?
Over their last 6 matches in all competitions, Unipomezia have 0 wins, 1 draw and 5 defeats; Poggibonsi have 3, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2021 | Pianese(away) | 2-4 | Serie D - Girone E |
| Oct 10, 2021 | Tiferno Lerchi(home) | 0-1 | Serie D - Girone E |
| Oct 3, 2021 | Pro Livorno(away) | 1-1 | Serie D - Girone E |
| Sep 26, 2021 | Arezzo(home) | 1-3 | Serie D - Girone E |
| Sep 19, 2021 | San Donato Tavarnelle(away) | 1-6 | Serie D - Girone E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2021 | Sporting Trestina(home) | 1-0 | Serie D - Girone E |
| Oct 10, 2021 | Flaminia(away) | 2-1 | Serie D - Girone E |
| Oct 3, 2021 | Lornano Badesse(home) | 1-1 | Serie D - Girone E |
| Sep 26, 2021 | Scandicci(away) | 1-2 | Serie D - Girone E |
| Sep 19, 2021 | Cannara(home) | 1-0 | Serie D - Girone E |
How many goals should we expect?
Unipomezia score 0.8 and concede 2.7 goals per match over their last 6; Poggibonsi score 1.2 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Unipomezia | 0.8 | 2.7 | 0 | 4/6 | 3/6 |
| Poggibonsi | 1.2 | 0.8 | 2 | 4/6 | 2/6 |
Over the last 6 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 Unipomezia vs Poggibonsi?
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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