Latina vs Ostia Mare: result 1-2 and analysis
Serie D - Girone GRegular Season - 18Kick-off on January 5, 2020 at 01:30 PM (UTC)Stadio Comunale Domenico Francioni, Latina
Full time
What was the result of Latina vs Ostia Mare?
Ostia Mare won 1-2 on January 5, 2020.
Goalscorers
- 23′?Latina
- 28′?Ostia Mare
- 76′?Ostia Mare
What is the recent form of both teams?
Over their last 15 matches in all competitions, Latina have 7 wins, 4 draws and 4 defeats; Ostia Mare have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 15, 2019 | Budoni(away) | 3-1 | Serie D - Girone G |
| Dec 8, 2019 | Ladispoli(home) | 4-0 | Serie D - Girone G |
| Dec 1, 2019 | Trastevere(away) | 1-3 | Serie D - Girone G |
| Nov 24, 2019 | Vis Artena(home) | 1-1 | Serie D - Girone G |
| Nov 17, 2019 | Arzachena(away) | 3-0 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 22, 2019 | Città di Anagni(away) | 0-1 | Serie D - Girone G |
| Dec 15, 2019 | Portici(home) | 2-0 | Serie D - Girone G |
| Dec 8, 2019 | Pro Calcio Tor Sapienza(away) | 4-1 | Serie D - Girone G |
| Dec 1, 2019 | Lanusei(home) | 1-1 | Serie D - Girone G |
| Nov 24, 2019 | Cassino(away) | 0-0 | Serie D - Girone G |
What does the head-to-head say?
In the last meeting: 0 Latina wins, 1 draw, 0 Ostia Mare wins.
| Date | Score | Competition |
|---|---|---|
| Sep 1, 2019 | Ostia Mare 2-2 Latina | Serie D - Girone G |
How many goals should we expect?
Latina score 1.8 and concede 1.3 goals per match over their last 15; Ostia Mare score 1.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Latina | 1.8 | 1.3 | 3 | 10/15 | 9/15 |
| Ostia Mare | 1.5 | 0.8 | 6 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Latina vs Ostia Mare?
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