Vigor Senigallia vs Tolentino: result 2-1 and analysis
Serie D - Girone FGroup F - 6Kick-off on October 9, 2022 at 01:00 PM (UTC)Stadio Comunale Goffredo Bianchelli, Senigallia
Full time
What was the result of Vigor Senigallia vs Tolentino?
Vigor Senigallia won 2-1 on October 9, 2022.
Goalscorers
- 55′?Tolentino
- 58′?Vigor Senigallia
- 83′?Vigor Senigallia
What is the recent form of both teams?
Over their last 7 matches in all competitions, Vigor Senigallia have 2 wins, 1 draw and 4 defeats; Tolentino have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2022 | Pineto(away) | 0-3 | Serie D - Girone F |
| Sep 28, 2022 | Team Nuova Florida(home) | 3-0 | Serie D - Girone F |
| Sep 18, 2022 | Notaresco(away) | 2-2 | Serie D - Girone F |
| Sep 11, 2022 | Chieti(home) | 1-2 | Serie D - Girone F |
| Sep 4, 2022 | Albalonga(away) | 1-0 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2022 | Vastogirardi(home) | 1-2 | Serie D - Girone F |
| Sep 28, 2022 | Matese(away) | 3-1 | Serie D - Girone F |
| Sep 18, 2022 | AJ Fano(home) | 0-0 | Serie D - Girone F |
| Sep 11, 2022 | Termoli Calcio(away) | 2-1 | Serie D - Girone F |
| Sep 4, 2022 | Vastese(home) | 1-1 | Serie D - Girone F |
How many goals should we expect?
Vigor Senigallia score 1.0 and concede 1.4 goals per match over their last 7; Tolentino score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vigor Senigallia | 1.0 | 1.4 | 2 | 2/7 | 4/7 |
| Tolentino | 1.1 | 1.1 | 5 | 9/15 | 7/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Vigor Senigallia | 10 | 5 | 1 | 4 | 18 | 20 | 16 |
A question about Vigor Senigallia vs Tolentino?
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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