Termoli Calcio vs Montegiorgio: result 1-1 and analysis
Serie D - Girone FGroup F - 13Kick-off on November 27, 2022 at 01:30 PM (UTC)Stadio Gino Cannarsa, Termoli
Full time
What was the result of Termoli Calcio vs Montegiorgio?
Termoli Calcio and Montegiorgio drew 1-1 on November 27, 2022.
Goalscorers
- 10′?Termoli Calcio
- 85′?Montegiorgio
What is the recent form of both teams?
Over their last 13 matches in all competitions, Termoli Calcio have 0 wins, 7 draws and 6 defeats; Montegiorgio have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2022 | Sambenedettese(away) | 0-3 | Serie D - Girone F |
| Nov 13, 2022 | Vigor Senigallia(home) | 0-0 | Serie D - Girone F |
| Nov 6, 2022 | Vastogirardi(away) | 1-1 | Serie D - Girone F |
| Oct 30, 2022 | Matese(home) | 2-2 | Serie D - Girone F |
| Oct 23, 2022 | AJ Fano(away) | 1-1 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2022 | Vastese(home) | 3-0 | Serie D - Girone F |
| Nov 13, 2022 | Roma City(away) | 1-0 | Serie D - Girone F |
| Nov 6, 2022 | Porto D' Ascoli(home) | 0-0 | Serie D - Girone F |
| Oct 30, 2022 | Trastevere(away) | 1-2 | Serie D - Girone F |
| Oct 23, 2022 | Tolentino(home) | 1-0 | Serie D - Girone F |
How many goals should we expect?
Termoli Calcio score 1.1 and concede 1.9 goals per match over their last 13; Montegiorgio score 1.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Termoli Calcio | 1.1 | 1.9 | 1 | 11/13 | 7/13 |
| Montegiorgio | 1.0 | 0.9 | 6 | 6/15 | 6/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Termoli Calcio | 7 | 3 | 1 | 3 | 6 | 6 | 10 |
A question about Termoli Calcio vs Montegiorgio?
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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