Ascoli vs Hellas Verona: result 1-4 and analysis
Serie BRegular Season - 9Kick-off on October 15, 2016 at 01:00 PM (UTC)Stadio Cino e Lillo Del Duca, Ascoli Piceno
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What was the result of Ascoli vs Hellas Verona?
Hellas Verona won 1-4 on October 15, 2016.
Goalscorers
- 41′Giampaolo PazziniHellas Verona
- 64′M. ZaccagniHellas Verona
- 71′R. OrsoliniAscoli
- 83′D. BessaHellas Verona
- 89′Giampaolo PazziniHellas Verona
What is the recent form of both teams?
Over their last 9 matches in all competitions, Ascoli have 1 wins, 5 draws and 3 defeats; Hellas Verona have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2016 | Novara(away) | 0-1 | Serie B |
| Oct 2, 2016 | Spezia(home) | 0-2 | Serie B |
| Sep 27, 2016 | Cesena(home) | 0-0 | Serie B |
| Sep 24, 2016 | Pisa(away) | 1-2 | Serie B |
| Sep 20, 2016 | Vicenza Virtus(home) | 2-0 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2016 | Brescia(home) | 2-2 | Serie B |
| Oct 1, 2016 | Ternana(away) | 3-0 | Serie B |
| Sep 25, 2016 | Frosinone(home) | 2-0 | Serie B |
| Sep 20, 2016 | Spal(away) | 3-1 | Serie B |
| Sep 17, 2016 | Avellino(home) | 3-1 | Serie B |
How many goals should we expect?
Ascoli score 1.1 and concede 1.3 goals per match over their last 9; Hellas Verona score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ascoli | 1.1 | 1.3 | 2 | 5/9 | 2/9 |
| Hellas Verona | 1.9 | 1.1 | 2 | 10/15 | 10/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
Ascoli sit 2nd in Serie B (3 points from 1 matches) and Hellas Verona sit 16th (0 points from 1 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Ascoli | 1 | 1 | 0 | 0 | 2 | 1 | 3 |
| 16 | Hellas Verona | 1 | 0 | 0 | 1 | 1 | 2 | 0 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy