Cattolica vs Montebelluna: result 0-1 and analysis
Serie D - Girone CGroup C - 33Kick-off on May 8, 2022 at 02:00 PM (UTC)Stadio Giorgio Calbi, Cattolica
Full time
What was the result of Cattolica vs Montebelluna?
Montebelluna won 0-1 on May 8, 2022.
Goalscorers
- 87′?Montebelluna
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cattolica have 4 wins, 2 draws and 9 defeats; Montebelluna have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2022 | Clodiense(away) | 0-3 | Serie D - Girone C |
| Apr 27, 2022 | San Martino Speme(home) | 0-1 | Serie D - Girone C |
| Apr 23, 2022 | Este(away) | 2-3 | Serie D - Girone C |
| Apr 14, 2022 | Adriese(home) | 1-2 | Serie D - Girone C |
| Apr 10, 2022 | Arzignano Valchiampo(away) | 1-5 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2022 | Luparense(home) | 3-1 | Serie D - Girone C |
| Apr 27, 2022 | Mestre(away) | 0-2 | Serie D - Girone C |
| Apr 24, 2022 | Spinea(home) | 0-3 | Serie D - Girone C |
| Apr 14, 2022 | Delta Porto Tolle(away) | 2-1 | Serie D - Girone C |
| Apr 9, 2022 | Cjarlins Muzane(home) | 3-1 | Serie D - Girone C |
What does the head-to-head say?
Across the last 1 meetings: 0 Cattolica win(s), 1 draw(s), 0 Montebelluna win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 22, 2021 | Montebelluna 1-1 Cattolica | Serie D - Girone C |
Last archived meeting: Montebelluna vs Cattolica on Dec 22, 2021
How many goals should we expect?
Cattolica score 0.8 and concede 1.7 goals per match over their last 15; Montebelluna score 2.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cattolica | 0.8 | 1.7 | 4 | 6/15 | 7/15 |
| Montebelluna | 2.0 | 1.7 | 2 | 10/15 | 13/15 |
Over the last 15 matches in all competitions.
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