Roma City vs Avezzano: result 2-0 and analysis
Serie D - Girone FGroup F - 20Kick-off on January 22, 2023 at 01:30 PM (UTC)Stadio Nicola Urban, Riano
Full time
What was the result of Roma City vs Avezzano?
Roma City won 2-0 on January 22, 2023.
Goalscorers
- 32′?Roma City
- 66′?Roma City
What is the recent form of both teams?
Over their last 15 matches in all competitions, Roma City have 3 wins, 4 draws and 8 defeats; Avezzano have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 15, 2023 | Porto D' Ascoli(away) | 1-0 | Serie D - Girone F |
| Jan 8, 2023 | Trastevere(home) | 0-2 | Serie D - Girone F |
| Dec 21, 2022 | Tolentino(home) | 1-1 | Serie D - Girone F |
| Dec 18, 2022 | Pineto(away) | 1-3 | Serie D - Girone F |
| Dec 11, 2022 | Team Nuova Florida(home) | 1-0 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 15, 2023 | Montegiorgio(away) | 0-2 | Serie D - Girone F |
| Jan 8, 2023 | Porto D' Ascoli(home) | 0-1 | Serie D - Girone F |
| Dec 21, 2022 | Sambenedettese(home) | 0-1 | Serie D - Girone F |
| Dec 17, 2022 | Trastevere(away) | 2-1 | Serie D - Girone F |
| Dec 11, 2022 | Vigor Senigallia(home) | 3-1 | Serie D - Girone F |
What does the head-to-head say?
Across the last 1 meetings: 0 Roma City win(s), 0 draw(s), 1 Avezzano win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 18, 2022 | Avezzano 2-0 Roma City | Serie D - Girone F |
Last archived meeting: Avezzano vs Roma City on Sep 18, 2022
How many goals should we expect?
Roma City score 0.7 and concede 1.4 goals per match over their last 15; Avezzano score 1.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Roma City | 0.7 | 1.4 | 4 | 6/15 | 5/15 |
| Avezzano | 1.2 | 1.2 | 2 | 9/15 | 7/15 |
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