AEL vs Enosis: result 4-1 and analysis
1. DivisionRegular Season - 7Kick-off on October 28, 2018 at 03:00 PM (UTC)Alphamega Stadium, Kolossi
Full time
What was the result of AEL vs Enosis?
AEL won 4-1 on October 28, 2018.
Goalscorers
- 23′C. UdojiEnosis
- 50′Manuel Torres JimenezAEL
- 64′Manuel Torres JimenezAEL
- 67′Kevin Pierre LafranceAEL
- 69′Rubén JuradoAEL
What is the recent form of both teams?
Over their last 15 matches in all competitions, AEL have 9 wins, 2 draws and 4 defeats; Enosis have 1, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2018 | Apoel Nicosia(away) | 0-0 | 1. Division |
| Oct 7, 2018 | Alki Oroklini(home) | 5-1 | 1. Division |
| Sep 22, 2018 | Pafos(away) | 2-0 | 1. Division |
| Sep 17, 2018 | Anorthosis(away) | 1-0 | 1. Division |
| Sep 1, 2018 | Doxa(home) | 2-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2018 | Anorthosis(home) | 1-1 | 1. Division |
| Oct 6, 2018 | Doxa(away) | 1-2 | 1. Division |
| Sep 28, 2018 | Apollon Limassol(away) | 0-5 | 1. Division |
| Sep 22, 2018 | Ermis(home) | 2-0 | 1. Division |
| Sep 16, 2018 | Omonia Nicosia(away) | 0-1 | 1. Division |
How many goals should we expect?
AEL score 1.7 and concede 0.8 goals per match over their last 15; Enosis score 1.2 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AEL | 1.7 | 0.8 | 9 | 4/15 | 8/15 |
| Enosis | 1.2 | 2.3 | 1 | 3/6 | 3/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
AEL sit 8th in 1. Division (44 points from 33 matches) and Enosis sit 14th (5 points from 33 matches).
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | AEL | 33 | 13 | 5 | 15 | 41 | 46 | 44 |
| 14 | Enosis | 33 | 1 | 2 | 30 | 11 | 80 | 5 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy