Palermo vs Padova: result 1-1 and analysis
Serie BRegular Season - 34Kick-off on April 22, 2019 at 07:00 PM (UTC)Stadio Renzo Barbera, Palermo
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What was the result of Palermo vs Padova?
Palermo and Padova drew 1-1 on April 22, 2019.
Goalscorers
- 14′A. TrajkovskiPalermo
- 15′N. PulzettiPadova
What is the recent form of both teams?
Over their last 15 matches in all competitions, Palermo have 7 wins, 4 draws and 4 defeats; Padova 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 |
|---|---|---|---|
| Apr 14, 2019 | Benevento(away) | 2-1 | Serie B |
| Apr 8, 2019 | Hellas Verona(home) | 1-0 | Serie B |
| Apr 3, 2019 | Pescara(away) | 2-3 | Serie B |
| Mar 30, 2019 | Cosenza(away) | 1-1 | Serie B |
| Mar 17, 2019 | Carpi(home) | 4-1 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2019 | Cosenza(home) | 0-0 | Serie B |
| Apr 6, 2019 | Carpi(away) | 1-2 | Serie B |
| Apr 2, 2019 | Ascoli(home) | 1-2 | Serie B |
| Mar 30, 2019 | Cittadella(away) | 1-1 | Serie B |
| Mar 16, 2019 | Perugia(home) | 0-1 | Serie B |
What does the head-to-head say?
Across the last 1 meetings: 1 Palermo win(s), 0 draw(s), 0 Padova win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 8, 2018 | Padova 1-3 Palermo | Serie B |
How many goals should we expect?
Palermo score 1.4 and concede 1.1 goals per match over their last 15; Padova score 0.8 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Palermo | 1.4 | 1.1 | 4 | 9/15 | 8/15 |
| Padova | 0.8 | 0.9 | 6 | 7/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Palermo sit 8th in Serie B (3 points from 1 matches) and Padova sit 6th (3 points from 1 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Padova | 1 | 1 | 0 | 0 | 1 | 0 | 3 |
| 8 | Palermo | 1 | 1 | 0 | 0 | 1 | 0 | 3 |
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