Levico vs Ambrosiana: result 0-1 and analysis
Serie D - Girone CGroup C - 33Kick-off on May 8, 2022 at 02:00 PM (UTC)Stadio Comunale, Levico Terme
Full time
What was the result of Levico vs Ambrosiana?
Ambrosiana won 0-1 on May 8, 2022.
Goalscorers
- 79′?Ambrosiana
What is the recent form of both teams?
Over their last 15 matches in all competitions, Levico have 4 wins, 5 draws and 6 defeats; Ambrosiana have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2022 | Campodarsego(away) | 1-1 | Serie D - Girone C |
| Apr 27, 2022 | Este(home) | 0-1 | Serie D - Girone C |
| Apr 23, 2022 | Clodiense(away) | 0-0 | Serie D - Girone C |
| Apr 14, 2022 | Arzignano Valchiampo(home) | 1-1 | Serie D - Girone C |
| Apr 10, 2022 | San Martino Speme(away) | 1-3 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2022 | Spinea(home) | 5-3 | Serie D - Girone C |
| Apr 27, 2022 | Cjarlins Muzane(away) | 2-1 | Serie D - Girone C |
| Apr 23, 2022 | Mestre(home) | 1-1 | Serie D - Girone C |
| Apr 15, 2022 | Caldiero Terme(away) | 2-1 | Serie D - Girone C |
| Apr 10, 2022 | Delta Porto Tolle(home) | 4-1 | Serie D - Girone C |
What does the head-to-head say?
In the last meeting: 0 Levico wins, 1 draw, 0 Ambrosiana wins.
| Date | Score | Competition |
|---|---|---|
| Dec 22, 2021 | Ambrosiana 0-0 Levico | Serie D - Girone C |
How many goals should we expect?
Levico score 0.7 and concede 0.9 goals per match over their last 15; Ambrosiana score 2.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Levico | 0.7 | 0.9 | 5 | 5/15 | 2/15 |
| Ambrosiana | 2.1 | 1.7 | 0 | 11/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Levico vs Ambrosiana?
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