Romana vs Boreale: result 2-1 and analysis
Serie D - Girone GGroup G - 20Kick-off on January 21, 2024 at 01:30 PM (UTC)Academy Sport Center, Roma
Full time
What was the result of Romana vs Boreale?
Romana won 2-1 on January 21, 2024.
Goalscorers
- 2′M. SfanòRomana
- 65′Aimone Cali'Romana
- 78′?Boreale
What is the recent form of both teams?
Over their last 15 matches in all competitions, Romana have 8 wins, 4 draws and 3 defeats; Boreale have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 14, 2024 | Budoni(away) | 1-0 | Serie D - Girone G |
| Jan 7, 2024 | Cavese(home) | 1-1 | Serie D - Girone G |
| Dec 20, 2023 | Ardea(home) | 4-2 | Serie D - Girone G |
| Dec 17, 2023 | Sarrabus Ogliastra(away) | 4-0 | Serie D - Girone G |
| Dec 10, 2023 | Ostia Mare(home) | 2-1 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 14, 2024 | Anzio(home) | 0-2 | Serie D - Girone G |
| Jan 7, 2024 | Cassino(away) | 1-1 | Serie D - Girone G |
| Dec 20, 2023 | Albalonga(away) | 1-1 | Serie D - Girone G |
| Dec 16, 2023 | San Marzano(home) | 0-3 | Serie D - Girone G |
| Dec 10, 2023 | Budoni(home) | 1-0 | Serie D - Girone G |
What does the head-to-head say?
In the last meeting: 0 Romana wins, 1 draw, 0 Boreale wins.
| Date | Score | Competition |
|---|---|---|
| Sep 24, 2023 | Boreale 0-0 Romana | Serie D - Girone G |
How many goals should we expect?
Romana score 1.5 and concede 0.9 goals per match over their last 15; Boreale score 0.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Romana | 1.5 | 0.9 | 7 | 6/15 | 7/15 |
| Boreale | 0.4 | 1.5 | 4 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Romana vs Boreale?
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