Akragas vs Licata: result 4-0 and analysis
Coppa Italia Serie D1st RoundKick-off on September 1, 2024 at 02:00 PM (UTC)Stadio Esseneto, Agrigento
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What was the result of Akragas vs Licata?
Akragas won 4-0 on September 1, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Akragas have 5 wins, 2 draws and 8 defeats; Licata have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2024 | Portici(home) | 1-0 | Serie D - Girone I |
| Apr 28, 2024 | Siracusa(away) | 0-4 | Serie D - Girone I |
| Apr 21, 2024 | San Luca(home) | 1-2 | Serie D - Girone I |
| Apr 7, 2024 | Acireale(home) | 1-1 | Serie D - Girone I |
| Mar 28, 2024 | La Fenice Amaranto(away) | 1-5 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2024 | Vibonese(away) | 2-4 | Serie D - Girone I |
| Apr 28, 2024 | Castrovillari(home) | 3-1 | Serie D - Girone I |
| Apr 20, 2024 | Trapani 1905(away) | 1-2 | Serie D - Girone I |
| Apr 14, 2024 | Ragusa(home) | 2-0 | Serie D - Girone I |
| Apr 7, 2024 | Città Di Sant’Agata(away) | 0-3 | Serie D - Girone I |
What does the head-to-head say?
Across the last 2 meetings: 0 Akragas wins, 1 draw, 1 Licata win.
| Date | Score | Competition |
|---|---|---|
| Jan 7, 2024 | Licata 0-0 Akragas | Serie D - Girone I |
| Sep 10, 2023 | Akragas 1-4 Licata | Serie D - Girone I |
How many goals should we expect?
Akragas score 1.2 and concede 1.7 goals per match over their last 15; Licata score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Akragas | 1.2 | 1.7 | 4 | 7/15 | 9/15 |
| Licata | 1.3 | 1.9 | 5 | 4/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Akragas vs Licata?
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
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