Marina di Ragusa vs Palermo: result 0-1 and analysis
Serie D - Girone IRegular Season - 21Kick-off on January 26, 2020 at 01:30 PM (UTC)Stadio Aldo Campo, Ragusa
Full time
What was the result of Marina di Ragusa vs Palermo?
Palermo won 0-1 on January 26, 2020.
Goalscorers
- 48′?Palermo
What is the recent form of both teams?
Over their last 15 matches in all competitions, Marina di Ragusa have 3 wins, 7 draws and 5 defeats; Palermo have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 19, 2020 | Savoia(away) | 0-0 | Serie D - Girone I |
| Jan 12, 2020 | Corigliano Calabro(home) | 1-1 | Serie D - Girone I |
| Jan 5, 2020 | Nola 1925(away) | 1-0 | Serie D - Girone I |
| Dec 22, 2019 | Licata(away) | 1-2 | Serie D - Girone I |
| Dec 15, 2019 | Biancavilla(home) | 1-0 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 19, 2020 | Roccella(home) | 1-0 | Serie D - Girone I |
| Jan 11, 2020 | San Tommaso(away) | 1-1 | Serie D - Girone I |
| Jan 5, 2020 | Marsala(home) | 3-1 | Serie D - Girone I |
| Dec 22, 2019 | Troina(home) | 0-0 | Serie D - Girone I |
| Dec 15, 2019 | Castrovillari(away) | 1-0 | Serie D - Girone I |
What does the head-to-head say?
Across the last 1 meetings: 0 Marina di Ragusa win(s), 0 draw(s), 1 Palermo win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 22, 2019 | Palermo 3-1 Marina di Ragusa | Serie D - Girone I |
Last archived meeting: Palermo vs Marina di Ragusa on Sep 22, 2019
How many goals should we expect?
Marina di Ragusa score 0.8 and concede 1.1 goals per match over their last 15; Palermo score 1.6 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Marina di Ragusa | 0.8 | 1.1 | 5 | 8/15 | 5/15 |
| Palermo | 1.6 | 0.6 | 8 | 6/15 | 6/15 |
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