Padova vs Ascoli: result 1-2 and analysis
Serie BRegular Season - 31Kick-off on April 2, 2019 at 07:00 PM (UTC)Stadio Comunale Euganeo, Padova
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What was the result of Padova vs Ascoli?
Ascoli won 1-2 on April 2, 2019.
Goalscorers
- 41′N. NinkovićAscoli (pen.)
- 44′A. CapelloPadova
- 57′L. RossetiAscoli
What is the recent form of both teams?
Over their last 15 matches in all competitions, Padova have 2 wins, 7 draws and 6 defeats; Ascoli have 2, 8 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2019 | Cittadella(away) | 1-1 | Serie B |
| Mar 16, 2019 | Perugia(home) | 0-1 | Serie B |
| Mar 9, 2019 | Spezia(away) | 2-0 | Serie B |
| Mar 2, 2019 | Crotone(home) | 0-0 | Serie B |
| Feb 26, 2019 | Brescia(home) | 1-1 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2019 | Benevento(home) | 2-2 | Serie B |
| Mar 23, 2019 | Lecce(away) | 0-7 | Serie B |
| Mar 16, 2019 | Hellas Verona(away) | 1-1 | Serie B |
| Mar 10, 2019 | Livorno(home) | 1-1 | Serie B |
| Mar 2, 2019 | Carpi(away) | 1-1 | Serie B |
What does the head-to-head say?
Across the last 1 meetings: 1 Padova win(s), 0 draw(s), 0 Ascoli win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 10, 2018 | Ascoli 2-3 Padova | Serie B |
How many goals should we expect?
Padova score 0.9 and concede 1.1 goals per match over their last 15; Ascoli score 1.0 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Padova | 0.9 | 1.1 | 5 | 7/15 | 4/15 |
| Ascoli | 1.0 | 1.9 | 2 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Padova | 38 | 12 | 10 | 16 | 39 | 49 | 46 |
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