Ascoli vs Padova: result 2-3 and analysis
Serie BRegular Season - 12Kick-off on November 10, 2018 at 02:00 PM (UTC)Stadio Cino e Lillo Del Duca, Ascoli Piceno
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What was the result of Ascoli vs Padova?
Padova won 2-3 on November 10, 2018.
Goalscorers
- 20′Maecky Fred Ngombo SansoniAscoli
- 26′F. BonazzoliPadova
- 60′A. CapelloPadova
- 79′D. MazzoccoPadova
- 82′R. BroscoAscoli
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ascoli have 5 wins, 6 draws and 4 defeats; Padova have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2018 | Benevento(away) | 2-1 | Serie B |
| Oct 30, 2018 | Hellas Verona(home) | 1-0 | Serie B |
| Oct 27, 2018 | Livorno(away) | 0-1 | Serie B |
| Oct 20, 2018 | Carpi(home) | 1-0 | Serie B |
| Oct 6, 2018 | Foggia(away) | 2-3 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2018 | Cittadella(home) | 0-0 | Serie B |
| Oct 30, 2018 | Perugia(away) | 2-3 | Serie B |
| Oct 27, 2018 | Spezia(home) | 0-0 | Serie B |
| Oct 20, 2018 | Crotone(away) | 1-2 | Serie B |
| Oct 7, 2018 | Brescia(away) | 1-4 | Serie B |
How many goals should we expect?
Ascoli score 0.7 and concede 0.9 goals per match over their last 15; Padova score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ascoli | 0.7 | 0.9 | 8 | 4/15 | 3/15 |
| Padova | 0.9 | 1.4 | 5 | 8/15 | 6/15 |
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