Ladispoli vs Ostia Mare: result 1-2 and analysis
Serie D - Girone GRegular Season - 24Kick-off on February 16, 2020 at 01:30 PM (UTC)Stadio Angelo Sale, Ladispoli
Full time
What was the result of Ladispoli vs Ostia Mare?
Ostia Mare won 1-2 on February 16, 2020.
Goalscorers
- 6′?Ostia Mare
- 20′?Ladispoli
- 80′?Ostia Mare
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ladispoli have 4 wins, 3 draws and 8 defeats; Ostia Mare have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 9, 2020 | Aprilia(away) | 2-1 | Serie D - Girone G |
| Feb 2, 2020 | Budoni(home) | 2-0 | Serie D - Girone G |
| Jan 26, 2020 | Vis Artena(home) | 1-2 | Serie D - Girone G |
| Jan 19, 2020 | Turris(away) | 1-4 | Serie D - Girone G |
| Jan 12, 2020 | Team Nuova Florida(home) | 0-0 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 9, 2020 | Team Nuova Florida(home) | 4-0 | Serie D - Girone G |
| Feb 2, 2020 | Trastevere(away) | 2-2 | Serie D - Girone G |
| Jan 26, 2020 | Torres(home) | 1-1 | Serie D - Girone G |
| Jan 19, 2020 | Arzachena(away) | 4-2 | Serie D - Girone G |
| Jan 12, 2020 | Muravera(home) | 1-0 | Serie D - Girone G |
What does the head-to-head say?
Across the last 1 meetings: 0 Ladispoli win(s), 0 draw(s), 1 Ostia Mare win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 13, 2019 | Ostia Mare 1-0 Ladispoli | Serie D - Girone G |
Last archived meeting: Ostia Mare vs Ladispoli on Oct 13, 2019
How many goals should we expect?
Ladispoli score 1.1 and concede 1.5 goals per match over their last 15; Ostia Mare score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ladispoli | 1.1 | 1.5 | 2 | 8/15 | 7/15 |
| Ostia Mare | 1.9 | 0.9 | 5 | 9/15 | 8/15 |
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