ASIL Lysi vs Aris: result 1-0 and analysis
2. DivisionRegular Season - 9Kick-off on November 25, 2018 at 12:30 PM (UTC)AEK Arena - George Karapatakis, Larnaca
Full time
What was the result of ASIL Lysi vs Aris?
ASIL Lysi won 1-0 on November 25, 2018.
What is the recent form of both teams?
Over their last 8 matches in all competitions, ASIL Lysi have 2 wins, 2 draws and 4 defeats; Aris have 5, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2018 | Anagennisi Deryneia(away) | 0-1 | 2. Division |
| Nov 4, 2018 | Omonia Aradippou(home) | 1-0 | 2. Division |
| Oct 26, 2018 | Ethnikos Achna(away) | 1-3 | 2. Division |
| Oct 21, 2018 | AE Zakakiou(home) | 0-1 | 2. Division |
| Oct 6, 2018 | MEAP Nisou(away) | 0-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2018 | Othellos(home) | 2-2 | 2. Division |
| Nov 4, 2018 | Digenis Voroklinis(home) | 2-0 | 2. Division |
| Oct 26, 2018 | Anagennisi Deryneia(away) | 1-0 | 2. Division |
| Oct 21, 2018 | Omonia Aradippou(home) | 2-1 | 2. Division |
| Oct 5, 2018 | Ethnikos Achna(away) | 0-0 | 2. Division |
How many goals should we expect?
ASIL Lysi score 0.6 and concede 1.1 goals per match over their last 8; Aris score 1.6 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ASIL Lysi | 0.6 | 1.1 | 2 | 3/8 | 2/8 |
| Aris | 1.6 | 0.8 | 4 | 3/8 | 3/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | ASIL Lysi | 3 | 2 | 1 | 0 | 6 | 2 | 7 |
A question about ASIL Lysi vs Aris?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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