Diavolitsi vs Aiolikos: result 0-1 and analysis
Gamma Ethniki - Group 4Group 4 - 22Kick-off on April 2, 2023 at 12:00 PM (UTC)Dimotiko Stadio Diavolitsi, Diavolitsi
Full time
What was the result of Diavolitsi vs Aiolikos?
Aiolikos won 0-1 on April 2, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Diavolitsi have 3 wins, 3 draws and 9 defeats; Aiolikos have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2023 | Pyliou(away) | 1-2 | Gamma Ethniki - Group 4 |
| Mar 19, 2023 | APS Patrai(home) | 2-1 | Gamma Ethniki - Group 4 |
| Mar 15, 2023 | Ermionida(away) | 1-3 | Gamma Ethniki - Group 4 |
| Mar 11, 2023 | AE Mykonos(away) | 0-0 | Gamma Ethniki - Group 4 |
| Mar 5, 2023 | Pangytheatikos(home) | 1-1 | Gamma Ethniki - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2023 | AE Mykonos(home) | 1-0 | Gamma Ethniki - Group 4 |
| Mar 19, 2023 | Pangytheatikos(away) | 2-1 | Gamma Ethniki - Group 4 |
| Mar 15, 2023 | Paniliakos(home) | 6-0 | Gamma Ethniki - Group 4 |
| Mar 11, 2023 | Foinikas N. Epidavrou(home) | 2-3 | Gamma Ethniki - Group 4 |
| Mar 5, 2023 | Rodos(away) | 1-2 | Gamma Ethniki - Group 4 |
What does the head-to-head say?
Across the last 1 meetings: 0 Diavolitsi win(s), 0 draw(s), 1 Aiolikos win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 15, 2023 | Aiolikos 3-0 Diavolitsi | Gamma Ethniki - Group 4 |
Last archived meeting: Aiolikos vs Diavolitsi on Jan 15, 2023
How many goals should we expect?
Diavolitsi score 0.9 and concede 1.9 goals per match over their last 15; Aiolikos score 2.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diavolitsi | 0.9 | 1.9 | 3 | 8/15 | 11/15 |
| Aiolikos | 2.1 | 0.9 | 6 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
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