Acireale vs Gela: result 2-1 and analysis
Serie D - Girone IGroup I - 7Kick-off on October 12, 2025 at 01:00 PM (UTC)Stadio Tupparello, Acireale
Full time
What was the result of Acireale vs Gela?
Acireale won 2-1 on October 12, 2025.
Goalscorers
- 3′599210Gela (pen.)
- 23′A. RechichiAcireale
- 42′A. RechichiAcireale
What is the recent form of both teams?
Over their last 15 matches in all competitions, Acireale have 1 win, 9 draws and 5 defeats; Gela have 3, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2025 | Sancataldese(home) | 1-1 | Serie D - Girone I |
| Sep 28, 2025 | AC Palermo(away) | 1-2 | Serie D - Girone I |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2025 | Igea Virtus(home) | 1-2 | Serie D - Girone I |
| Sep 28, 2025 | Sancataldese(away) | 0-1 | Serie D - Girone I |
| Sep 24, 2025 | Vigor Lamezia(home) | 3-0 | Serie D - Girone I |
| Sep 21, 2025 | Messina(away) | 2-0 | Serie D - Girone I |
| Sep 14, 2025 | Ragusa(home) | 2-0 | Serie D - Girone I |
How many goals should we expect?
Acireale score 0.9 and concede 1.3 goals per match over their last 15; Gela score 1.1 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Acireale | 0.9 | 1.3 | 2 | 11/15 | 7/15 |
| Gela | 1.1 | 0.6 | 4 | 1/7 | 2/7 |
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 | Gela | 8 | 1 | 4 | 3 | 6 | 8 | 6 |
A question about Acireale vs Gela?
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