Akragas vs Licata: result 1-4 and analysis
Serie D - Girone IGroup I - 1Kick-off on September 10, 2023 at 01:00 PM (UTC)Stadio Esseneto, Agrigento
Full time
What was the result of Akragas vs Licata?
Licata won 1-4 on September 10, 2023.
Goalscorers
- 13′209620Licata
- 23′?Licata
- 64′?Licata (pen.)
- 72′?Licata
- 82′?Akragas
What is the recent form of both teams?
Over their last 15 matches in all competitions, Akragas have 2 wins, 1 draw and 12 defeats; Licata have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2023 | Ragusa(away) | 1-0 | Coppa Italia Serie D |
| Aug 27, 2023 | Igea Virtus(home) | 3-0 | Coppa Italia Serie D |
| Apr 29, 2018 | Fondi(home) | 0-3 | Serie C - Girone A |
| Apr 22, 2018 | Reggiana(away) | 0-2 | Serie C - Girone A |
| Apr 15, 2018 | Catania(home) | 1-3 | Serie C - Girone A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2023 | Canicattì(home) | 0-0 | Coppa Italia Serie D |
| May 14, 2023 | Locri 1909(away) | 0-1 | Serie D - Promotion - Play-offs |
| May 8, 2023 | San Luca(away) | 2-1 | Serie D - Girone I |
| Apr 30, 2023 | Ragusa(home) | 1-0 | Serie D - Girone I |
| Apr 23, 2023 | Trapani 1905(away) | 1-2 | Serie D - Girone I |
How many goals should we expect?
Akragas score 0.5 and concede 1.8 goals per match over their last 15; Licata score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Akragas | 0.5 | 1.8 | 3 | 3/15 | 6/15 |
| Licata | 0.9 | 1.1 | 5 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | Licata | 7 | 4 | 2 | 1 | 10 | 9 | 14 |
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