Sora vs Atletico Ascoli: result 2-2 and analysis
Serie D - Girone FGroup F - 9Kick-off on November 1, 2023 at 01:30 PM (UTC)Stadio Claudio Tomei, Sora
Full time
What was the result of Sora vs Atletico Ascoli?
Sora and Atletico Ascoli drew 2-2 on November 1, 2023.
Goalscorers
- 7′?Sora
- 10′M. MinicucciAtletico Ascoli
- 54′?Atletico Ascoli
- 64′?Sora
What is the recent form of both teams?
Over their last 9 matches in all competitions, Sora have 3 wins, 2 draws and 4 defeats; Atletico Ascoli have 2, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2023 | Matese(away) | 1-0 | Serie D - Girone F |
| Oct 22, 2023 | Campobasso FC(home) | 1-2 | Serie D - Girone F |
| Oct 15, 2023 | Termoli Calcio(away) | 1-1 | Serie D - Girone F |
| Oct 8, 2023 | Chieti(home) | 0-0 | Serie D - Girone F |
| Oct 1, 2023 | United Riccione(away) | 2-1 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2023 | Vigor Senigallia(home) | 1-2 | Serie D - Girone F |
| Oct 22, 2023 | Roma City(away) | 1-0 | Serie D - Girone F |
| Oct 15, 2023 | L'Aquila(away) | 1-1 | Serie D - Girone F |
| Oct 8, 2023 | Real Monterotondo(home) | 1-1 | Serie D - Girone F |
| Oct 1, 2023 | Matese(away) | 0-2 | Serie D - Girone F |
How many goals should we expect?
Sora score 0.9 and concede 1.1 goals per match over their last 9; Atletico Ascoli score 0.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sora | 0.9 | 1.1 | 3 | 5/9 | 4/9 |
| Atletico Ascoli | 0.7 | 1.0 | 3 | 4/10 | 2/10 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Atletico Ascoli | 7 | 3 | 1 | 3 | 8 | 9 | 10 |
A question about Sora vs Atletico Ascoli?
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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