Hellas Verona vs Avellino: result 3-1 and analysis
Coppa Italia3rd RoundKick-off on August 13, 2017 at 06:30 PM (UTC)Stadio Marc'Antonio Bentegodi, Verona
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What was the result of Hellas Verona vs Avellino?
Hellas Verona won 3-1 on August 13, 2017.
Goalscorers
- 34′D. VerdeHellas Verona
- 38′D. VerdeHellas Verona
- 49′Luigi CastaldoAvellino
- 87′B. ZuculiniHellas Verona
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hellas Verona have 7 wins, 7 draws and 1 defeats; Avellino have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2017 | Cesena(away) | 0-0 | Serie B |
| May 13, 2017 | Carpi(home) | 1-1 | Serie B |
| May 6, 2017 | Virtus Entella(away) | 2-1 | Serie B |
| May 1, 2017 | Vicenza Virtus(home) | 3-2 | Serie B |
| Apr 25, 2017 | Perugia(away) | 1-1 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2017 | Matera(home) | 1-0 | Coppa Italia |
| May 18, 2017 | Latina(home) | 2-1 | Serie B |
| May 13, 2017 | Salernitana(away) | 0-2 | Serie B |
| May 6, 2017 | Bari(home) | 1-1 | Serie B |
| May 1, 2017 | Benevento(away) | 1-2 | Serie B |
What does the head-to-head say?
Across the last 2 meetings: 1 Hellas Verona win(s), 0 draw(s), 1 Avellino win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 11, 2017 | Avellino 2-0 Hellas Verona | Serie B |
| Sep 17, 2016 | Hellas Verona 3-1 Avellino | Serie B |
Last archived meeting: Avellino vs Hellas Verona on Feb 11, 2017
How many goals should we expect?
Hellas Verona score 1.3 and concede 0.7 goals per match over their last 15; Avellino score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hellas Verona | 1.3 | 0.7 | 7 | 7/15 | 3/15 |
| Avellino | 0.9 | 1.5 | 4 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
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