PRO Vercelli vs Ascoli: result 1-1 and analysis
Serie BRegular Season - 1Kick-off on August 27, 2016 at 06:30 PM (UTC)Stadio Silvio Piola, Vercelli
Full time
What was the result of PRO Vercelli vs Ascoli?
PRO Vercelli and Ascoli drew 1-1 on August 27, 2016.
Goalscorers
- 42′F. CassataAscoli
- 90′C. MorraPRO Vercelli
Official lineup for PRO Vercelli vs Ascoli
The starting elevens fielded at kick-off.
PRO Vercelli
4-3-3- 10A. La Mantia
- 8A. Palazzi
- 32Armando Vajushi
- 21L. Castiglia
- 7M. Mustacchio
- 5Alessandro Budel
- 4M. Bani
- 16S. Mussmann
- 3U. Germano
- 33Carlo Mammarella
- 1I. Provedel
Ascoli
4-4-2- 11R. Orsolini
- 28L. Gatto
- 21D. Cacia
- 29F. Cassata
- 24M. Hallberg
- 6T. Bianchi
- 33D. Mignanelli
- 23D. Cinaglia
- 39A. Almici
- 5A. Mengoni
- 1I. Lanni
What is the recent form of both teams?
Over their last 2 matches in all competitions, PRO Vercelli have 1 win, 0 draws and 1 defeat; Ascoli have 0, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2016 | Torino(away) | 1-4 | Coppa Italia |
| Aug 7, 2016 | Reggiana(home) | 3-1 | Coppa Italia |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2016 | Lecce(home) | 4-4 | Coppa Italia |
How many goals should we expect?
PRO Vercelli score 2.0 and concede 2.5 goals per match over their last 2; Ascoli score 4.0 and concede 4.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PRO Vercelli | 2.0 | 2.5 | 0 | 2/2 | 2/2 |
| Ascoli | 4.0 | 4.0 | 0 | 1/1 | 1/1 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Ascoli | 6 | 3 | 2 | 1 | 7 | 4 | 11 |
A question about PRO Vercelli vs Ascoli?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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