Hellas Verona vs Ternana: result 2-0 and analysis
Serie BRegular Season - 28Kick-off on February 28, 2017 at 07:30 PM (UTC)Stadio Marc'Antonio Bentegodi, Verona
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What was the result of Hellas Verona vs Ternana?
Hellas Verona won 2-0 on February 28, 2017.
Goalscorers
- 14′Giampaolo PazziniHellas Verona
- 44′Giampaolo PazziniHellas Verona
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hellas Verona have 4 wins, 4 draws and 7 defeats; Ternana have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2017 | Frosinone(away) | 0-1 | Serie B |
| Feb 20, 2017 | Spal(home) | 0-0 | Serie B |
| Feb 11, 2017 | Avellino(away) | 0-2 | Serie B |
| Feb 3, 2017 | Benevento(home) | 2-2 | Serie B |
| Jan 29, 2017 | Salernitana(home) | 2-0 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2017 | Latina(home) | 0-1 | Serie B |
| Feb 18, 2017 | Bari(away) | 1-3 | Serie B |
| Feb 12, 2017 | Perugia(home) | 0-1 | Serie B |
| Feb 4, 2017 | Spezia(away) | 0-2 | Serie B |
| Jan 28, 2017 | Cittadella(home) | 1-0 | Serie B |
What does the head-to-head say?
Across the last 1 meetings: 1 Hellas Verona win(s), 0 draw(s), 0 Ternana win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 1, 2016 | Ternana 0-3 Hellas Verona | Serie B |
Last archived meeting: Ternana vs Hellas Verona on Oct 1, 2016
How many goals should we expect?
Hellas Verona score 0.9 and concede 1.6 goals per match over their last 15; Ternana score 0.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hellas Verona | 0.9 | 1.6 | 5 | 4/15 | 6/15 |
| Ternana | 0.7 | 1.5 | 3 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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