Benevento vs Guidonia Montecelio 1937: result 2-1 and analysis
Serie C - Girone CGirone C - 15Kick-off on November 27, 2023 at 07:45 PM (UTC)Stadio Ciro Vigorito, Benevento
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What was the result of Benevento vs Guidonia Montecelio 1937?
Benevento won 2-1 on November 27, 2023.
Goalscorers
- 14′D. AgazziBenevento
- 39′A. FerranteBenevento
- 86′L. BittanteGuidonia Montecelio 1937
What is the recent form of both teams?
Over their last 15 matches in all competitions, Benevento have 7 wins, 6 draws and 2 defeats; Guidonia Montecelio 1937 have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2023 | SS Monopoli(away) | 0-3 | Serie C - Girone C |
| Nov 13, 2023 | Giugliano(home) | 2-2 | Serie C - Girone C |
| Nov 5, 2023 | Messina(away) | 1-0 | Serie C - Girone C |
| Oct 30, 2023 | Potenza(home) | 1-0 | Serie C - Girone C |
| Oct 26, 2023 | Foggia(away) | 0-0 | Serie C - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2023 | Virtus Francavilla(home) | 1-0 | Serie C - Girone C |
| Nov 12, 2023 | Crotone(away) | 1-2 | Serie C - Girone C |
| Nov 4, 2023 | AZ Picerno(home) | 1-3 | Serie C - Girone C |
| Oct 29, 2023 | Sorrento(away) | 2-0 | Serie C - Girone C |
| Oct 25, 2023 | Catania(home) | 1-1 | Serie C - Girone C |
How many goals should we expect?
Benevento score 1.1 and concede 1.0 goals per match over their last 15; Guidonia Montecelio 1937 score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Benevento | 1.1 | 1.0 | 8 | 6/15 | 7/15 |
| Guidonia Montecelio 1937 | 1.1 | 1.9 | 2 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Benevento | 38 | 25 | 7 | 6 | 74 | 28 | 82 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy