PAS Giannina vs Ionikos: result 0-0 and analysis
Super League 1Regular Season - 22Kick-off on February 11, 2023 at 06:00 PM (UTC)Stadio Zosimades, Ioannina
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What was the result of PAS Giannina vs Ionikos?
PAS Giannina and Ionikos drew 0-0 on February 11, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, PAS Giannina have 3 wins, 7 draws and 5 defeats; Ionikos have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2023 | OFI(away) | 0-0 | Super League 1 |
| Jan 28, 2023 | Atromitos(home) | 1-1 | Super League 1 |
| Jan 20, 2023 | Panetolikos(away) | 1-1 | Super League 1 |
| Jan 15, 2023 | Panathinaikos(home) | 0-1 | Super League 1 |
| Jan 7, 2023 | Levadiakos(away) | 3-1 | Super League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2023 | Aris Thessalonikis(home) | 1-0 | Super League 1 |
| Jan 30, 2023 | Lamia(away) | 2-0 | Super League 1 |
| Jan 22, 2023 | AEK Athens FC(home) | 1-2 | Super League 1 |
| Jan 16, 2023 | Volos NFC(home) | 0-1 | Super League 1 |
| Jan 8, 2023 | Atromitos(away) | 0-2 | Super League 1 |
What does the head-to-head say?
Across the last 3 meetings: 1 PAS Giannina win(s), 2 draw(s), 0 Ionikos win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 23, 2022 | Ionikos 2-2 PAS Giannina | Super League 1 |
| Jan 4, 2022 | PAS Giannina 1-0 Ionikos | Super League 1 |
| Sep 23, 2021 | Ionikos 0-0 PAS Giannina | Super League 1 |
Last archived meeting: Ionikos vs PAS Giannina on Oct 23, 2022
How many goals should we expect?
PAS Giannina score 1.1 and concede 1.5 goals per match over their last 15; Ionikos score 0.7 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PAS Giannina | 1.1 | 1.5 | 1 | 10/15 | 8/15 |
| Ionikos | 0.7 | 1.8 | 3 | 4/15 | 5/15 |
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