Perugia vs Palermo: result 1-2 and analysis
Serie BRegular Season - 23Kick-off on February 9, 2019 at 02:00 PM (UTC)Stadio Renato Curi, Perugia
Full time
What was the result of Perugia vs Palermo?
Palermo won 1-2 on February 9, 2019.
Goalscorers
- 2′G. PuşcaşPalermo
- 47′G. PuşcaşPalermo
- 89′F. MelchiorriPerugia
What is the recent form of both teams?
Over their last 15 matches in all competitions, Perugia have 7 wins, 3 draws and 5 defeats; Palermo have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 26, 2019 | Ascoli(away) | 3-0 | Serie B |
| Jan 19, 2019 | Brescia(home) | 0-2 | Serie B |
| Dec 30, 2018 | Cremonese(away) | 0-4 | Serie B |
| Dec 27, 2018 | Foggia(home) | 3-0 | Serie B |
| Dec 23, 2018 | Cittadella(away) | 2-2 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2019 | Foggia(home) | 0-0 | Serie B |
| Jan 26, 2019 | Cremonese(away) | 0-2 | Serie B |
| Jan 18, 2019 | Salernitana(home) | 1-2 | Serie B |
| Dec 30, 2018 | Cittadella(away) | 1-0 | Serie B |
| Dec 27, 2018 | Ascoli(home) | 3-0 | Serie B |
What does the head-to-head say?
Across the last 3 meetings: 1 Perugia win(s), 0 draw(s), 2 Palermo win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 22, 2018 | Palermo 4-1 Perugia | Serie B |
| Feb 17, 2018 | Perugia 1-0 Palermo | Serie B |
| Sep 19, 2017 | Palermo 1-0 Perugia | Serie B |
How many goals should we expect?
Perugia score 1.5 and concede 1.4 goals per match over their last 15; Palermo score 1.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Perugia | 1.5 | 1.4 | 4 | 9/15 | 11/15 |
| Palermo | 1.5 | 0.7 | 6 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | Palermo | 38 | 20 | 12 | 6 | 61 | 33 | 72 |
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