Acireale vs Pompei: result 3-0 and analysis
Serie D - Girone IGroup I - 15Kick-off on December 8, 2024 at 01:30 PM (UTC)Stadio Tupparello, Acireale
Full time
What was the result of Acireale vs Pompei?
Acireale won 3-0 on December 8, 2024.
Goalscorers
- 31′?Acireale
- 55′D. MarchettiAcireale
- 84′B. Mokulu TembeAcireale
What is the recent form of both teams?
Over their last 15 matches in all competitions, Acireale have 3 wins, 2 draws and 10 defeats; Pompei have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2024 | Sambiase(away) | 2-4 | Serie D - Girone I |
| Nov 24, 2024 | Nissa(home) | 1-2 | Serie D - Girone I |
| Nov 20, 2024 | Vibonese(home) | 3-2 | Serie D - Girone I |
| Nov 17, 2024 | Paternò(away) | 0-1 | Serie D - Girone I |
| Nov 6, 2024 | Reggina(away) | 1-2 | Coppa Italia Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2024 | Città Di Sant’Agata(home) | 3-1 | Serie D - Girone I |
| Nov 24, 2024 | Reggina(away) | 2-2 | Serie D - Girone I |
| Nov 17, 2024 | Igea Virtus(home) | 0-0 | Serie D - Girone I |
| Nov 10, 2024 | Ragusa(away) | 0-0 | Serie D - Girone I |
| Nov 3, 2024 | CastrumFavara(home) | 1-3 | Serie D - Girone I |
How many goals should we expect?
Acireale score 0.9 and concede 1.9 goals per match over their last 15; Pompei score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Acireale | 0.9 | 1.9 | 2 | 8/15 | 7/15 |
| Pompei | 1.1 | 1.3 | 6 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Acireale | 34 | 7 | 12 | 15 | 37 | 49 | 32 |
A question about Acireale vs Pompei?
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