Panegialios vs Diavolitsi: result 2-1 and analysis
Gamma Ethniki - Group 9Group 9 - 1Kick-off on October 11, 2020 at 01:00 PM (UTC)Ethniko Stadio Aigio, Aigio
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What was the result of Panegialios vs Diavolitsi?
Panegialios won 2-1 on October 11, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panegialios have 4 wins, 3 draws and 8 defeats; Diavolitsi have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2018 | Veria(home) | 3-0 | Football League |
| May 19, 2018 | Acharnaikos(away) | 3-0 | Football League |
| May 16, 2018 | AE Karaiskakis(home) | 0-0 | Football League |
| May 13, 2018 | Apollon Larissa FC(away) | 2-3 | Football League |
| May 6, 2018 | Apollon Pontou(home) | 1-2 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 8, 2020 | Paniliakos(home) | 4-1 | Gamma Ethniki - Group 7 |
| Feb 29, 2020 | Ermionida(away) | 0-1 | Gamma Ethniki - Group 7 |
| Feb 23, 2020 | Olympiakos Zacharo(home) | 3-1 | Gamma Ethniki - Group 7 |
| Feb 16, 2020 | Diagoras Vrachneika(away) | 2-2 | Gamma Ethniki - Group 7 |
| Feb 9, 2020 | Tsilivi(home) | 0-2 | Gamma Ethniki - Group 7 |
How many goals should we expect?
Panegialios score 1.1 and concede 1.9 goals per match over their last 15; Diavolitsi score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panegialios | 1.1 | 1.9 | 6 | 6/15 | 9/15 |
| Diavolitsi | 1.3 | 1.1 | 3 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Panegialios sit 2nd in Gamma Ethniki - Group 9 (21 points from 11 matches) and Diavolitsi sit 6th (16 points from 10 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Panegialios | 11 | 6 | 3 | 2 | 12 | 7 | 21 |
| 6 | Diavolitsi | 10 | 5 | 1 | 4 | 12 | 12 | 16 |
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