Roma City vs Termoli Calcio: result 2-1 and analysis
Serie D - Girone FGroup F - 5Kick-off on October 2, 2022 at 01:00 PM (UTC)Stadio Nicola Urban, Riano
Full time
What was the result of Roma City vs Termoli Calcio?
Roma City won 2-1 on October 2, 2022.
Goalscorers
- 25′Simone RaffiniRoma City (pen.)
- 35′?Roma City
- 77′90376Termoli Calcio
What is the recent form of both teams?
Over their last 5 matches in all competitions, Roma City have 1 win, 1 draw and 3 defeats; Termoli Calcio have 0, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2022 | Vastese(away) | 2-5 | Serie D - Girone F |
| Sep 18, 2022 | Avezzano(away) | 0-2 | Serie D - Girone F |
| Sep 11, 2022 | Porto D' Ascoli(home) | 0-0 | Serie D - Girone F |
| Sep 4, 2022 | Trastevere(away) | 1-3 | Serie D - Girone F |
| Aug 28, 2022 | Aprilia(away) | 3-1 | Coppa Italia Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2022 | Porto D' Ascoli(home) | 1-1 | Serie D - Girone F |
| Sep 18, 2022 | Trastevere(away) | 1-3 | Serie D - Girone F |
| Sep 11, 2022 | Tolentino(home) | 1-2 | Serie D - Girone F |
| Sep 4, 2022 | Pineto(away) | 3-4 | Serie D - Girone F |
| Aug 21, 2022 | Vastogirardi(away) | 1-4 | Coppa Italia Serie D |
How many goals should we expect?
Roma City score 1.2 and concede 2.2 goals per match over their last 5; Termoli Calcio score 1.4 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Roma City | 1.2 | 2.2 | 1 | 3/5 | 3/5 |
| Termoli Calcio | 1.4 | 2.8 | 0 | 5/5 | 4/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Termoli Calcio | 8 | 3 | 1 | 4 | 6 | 7 | 10 |
A question about Roma City vs Termoli Calcio?
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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