AC Palermo vs Acireale: result 2-1 and analysis
Serie D - Girone IGroup I - 5Kick-off on September 28, 2025 at 02:00 PM (UTC)
Full time
What was the result of AC Palermo vs Acireale?
AC Palermo won 2-1 on September 28, 2025.
Goalscorers
- 36′621482Acireale
- 87′575435AC Palermo
- 90′575435AC Palermo
What is the recent form of both teams?
Over their last 5 matches in all competitions, AC Palermo have 1 win, 3 draws and 1 defeat; Acireale have 2, 9 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2025 | Igea Virtus(home) | 2-2 | Serie D - Girone I |
| Sep 21, 2025 | Sancataldese(away) | 1-1 | Serie D - Girone I |
| Sep 14, 2025 | Vigor Lamezia(home) | 2-1 | Serie D - Girone I |
| Sep 7, 2025 | Messina(away) | 0-0 | Serie D - Girone I |
| Aug 24, 2025 | Milazzo(away) | 1-3 | Coppa Italia Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2025 | Messina(home) | 1-2 | Serie D - Girone I |
| Sep 21, 2025 | Igea Virtus(away) | 0-3 | Serie D - Girone I |
| Sep 14, 2025 | Savoia(home) | 1-1 | Serie D - Girone I |
| Sep 7, 2025 | Vigor Lamezia(away) | 0-1 | Serie D - Girone I |
| Aug 24, 2025 | Enna(away) | 1-1 | Coppa Italia Serie D |
How many goals should we expect?
AC Palermo score 1.2 and concede 1.4 goals per match over their last 5; Acireale score 1.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AC Palermo | 1.2 | 1.4 | 1 | 4/5 | 3/5 |
| Acireale | 1.0 | 1.2 | 3 | 10/15 | 7/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | AC Palermo | 7 | 2 | 2 | 3 | 10 | 10 | 8 |
A question about AC Palermo vs Acireale?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy