Ilvamaddalena vs Vis Artena: result 0-0 and analysis
Serie D - Girone GGroup G - 33Kick-off on April 30, 2023 at 12:30 PM (UTC)Stadio Salvatore Zichina, La Maddalena
Full time
What was the result of Ilvamaddalena vs Vis Artena?
Ilvamaddalena and Vis Artena drew 0-0 on April 30, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ilvamaddalena have 3 wins, 5 draws and 7 defeats; Vis Artena have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2023 | Tivoli(away) | 1-0 | Serie D - Girone G |
| Apr 16, 2023 | Pomezia(home) | 1-1 | Serie D - Girone G |
| Apr 6, 2023 | Lupa Roma(away) | 0-0 | Serie D - Girone G |
| Apr 1, 2023 | Real Monterotondo(home) | 2-0 | Serie D - Girone G |
| Mar 19, 2023 | Sarrabus Ogliastra(away) | 0-1 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2023 | Portici(home) | 1-3 | Serie D - Girone G |
| Apr 16, 2023 | USD Palmese(away) | 1-1 | Serie D - Girone G |
| Apr 6, 2023 | Atletico Uri(home) | 1-2 | Serie D - Girone G |
| Apr 2, 2023 | Angri Calcio(away) | 2-0 | Serie D - Girone G |
| Mar 19, 2023 | Sorrento(home) | 0-1 | Serie D - Girone G |
What does the head-to-head say?
In the last meeting: 0 Ilvamaddalena wins, 0 draws, 1 Vis Artena win.
| Date | Score | Competition |
|---|---|---|
| Dec 17, 2022 | Vis Artena 1-0 Ilvamaddalena | Serie D - Girone G |
Last archived meeting: Vis Artena vs Ilvamaddalena on Dec 17, 2022
How many goals should we expect?
Ilvamaddalena score 0.7 and concede 1.3 goals per match over their last 15; Vis Artena score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ilvamaddalena | 0.7 | 1.3 | 5 | 5/15 | 4/15 |
| Vis Artena | 0.7 | 0.9 | 7 | 4/15 | 3/15 |
Over the last 15 matches in all competitions.
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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