RG Ticino vs Alba Calcio: result 3-0 and analysis
Serie D - Girone AGroup A - 31Kick-off on March 17, 2024 at 01:30 PM (UTC)Campo Sportivo Romentino, Romentino
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What was the result of RG Ticino vs Alba Calcio?
RG Ticino won 3-0 on March 17, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, RG Ticino have 6 wins, 5 draws and 4 defeats; Alba Calcio have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2024 | Sanremese(away) | 0-0 | Serie D - Girone A |
| Mar 3, 2024 | Fezzanese(home) | 3-1 | Serie D - Girone A |
| Feb 25, 2024 | Ligorna(away) | 1-2 | Serie D - Girone A |
| Feb 18, 2024 | Chieri(home) | 1-1 | Serie D - Girone A |
| Feb 4, 2024 | Città di Varese(away) | 1-3 | Serie D - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2024 | Città di Varese(home) | 0-2 | Serie D - Girone A |
| Mar 3, 2024 | Asti(away) | 0-1 | Serie D - Girone A |
| Feb 28, 2024 | Borgosesia(away) | 4-2 | Serie D - Girone A |
| Feb 25, 2024 | Albenga(home) | 0-2 | Serie D - Girone A |
| Feb 4, 2024 | Vado(home) | 1-0 | Serie D - Girone A |
What does the head-to-head say?
Across the last 2 meetings: 1 RG Ticino win(s), 1 draw(s), 0 Alba Calcio win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 5, 2023 | Alba Calcio 1-2 RG Ticino | Serie D - Girone A |
| Aug 27, 2023 | RG Ticino 2-2 Alba Calcio | Coppa Italia Serie D |
Last archived meeting: Alba Calcio vs RG Ticino on Nov 5, 2023
How many goals should we expect?
RG Ticino score 1.5 and concede 1.2 goals per match over their last 15; Alba Calcio score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RG Ticino | 1.5 | 1.2 | 5 | 10/15 | 8/15 |
| Alba Calcio | 1.0 | 1.7 | 3 | 6/15 | 5/15 |
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