Palermo vs Perugia: result 4-1 and analysis
Serie BRegular Season - 4Kick-off on September 22, 2018 at 01:00 PM (UTC)Stadio Renzo Barbera, Palermo
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What was the result of Palermo vs Perugia?
Palermo won 4-1 on September 22, 2018.
Goalscorers
- 14′G. BellusciPalermo
- 18′I. NestorovskiPalermo
- 58′A. TrajkovskiPalermo
- 68′I. NestorovskiPalermo (pen.)
- 79′V. DragomirPerugia
What is the recent form of both teams?
Over their last 15 matches in all competitions, Palermo have 6 wins, 6 draws and 3 defeats; Perugia have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2018 | Foggia(away) | 2-1 | Serie B |
| Aug 31, 2018 | Cremonese(home) | 2-2 | Serie B |
| Aug 25, 2018 | Salernitana(away) | 0-0 | Serie B |
| Aug 12, 2018 | Cagliari(away) | 1-2 | Coppa Italia |
| Aug 5, 2018 | Vicenza Virtus(home) | 3-3 | Coppa Italia |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2018 | Ascoli(home) | 2-0 | Serie B |
| Aug 24, 2018 | Brescia(away) | 1-1 | Serie B |
| Aug 5, 2018 | Novara(home) | 1-3 | Coppa Italia |
| Jun 3, 2018 | Venezia(away) | 0-3 | Serie B |
| May 18, 2018 | Empoli(away) | 1-2 | Serie B |
What does the head-to-head say?
Across the last 2 meetings: 1 Palermo win(s), 0 draw(s), 1 Perugia win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 17, 2018 | Perugia 1-0 Palermo | Serie B |
| Sep 19, 2017 | Palermo 1-0 Perugia | Serie B |
How many goals should we expect?
Palermo score 1.4 and concede 1.2 goals per match over their last 15; Perugia score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Palermo | 1.4 | 1.2 | 5 | 8/15 | 8/15 |
| Perugia | 1.2 | 1.5 | 3 | 10/15 | 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