Lamia vs PAS Giannina: result 1-1 and analysis
Super League 1Regular Season - 24Kick-off on March 10, 2019 at 05:00 PM (UTC)Dimotiko Athlitiko Kentro Lamias, Lamia
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What was the result of Lamia vs PAS Giannina?
Lamia and PAS Giannina drew 1-1 on March 10, 2019.
Goalscorers
- 56′A. KaramanosLamia
- 86′F. CastroPAS Giannina
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lamia have 8 wins, 3 draws and 4 defeats; PAS Giannina 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 |
|---|---|---|---|
| Mar 3, 2019 | Levadiakos(away) | 1-1 | Super League 1 |
| Feb 28, 2019 | Olympiakos Piraeus(away) | 1-0 | Cup |
| Feb 24, 2019 | Larisa(home) | 2-1 | Super League 1 |
| Feb 18, 2019 | OFI(away) | 3-1 | Super League 1 |
| Feb 9, 2019 | Xanthi FC(away) | 0-0 | Super League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2019 | Xanthi FC(home) | 0-0 | Super League 1 |
| Feb 25, 2019 | Panetolikos(away) | 0-1 | Super League 1 |
| Feb 16, 2019 | Atromitos(home) | 0-2 | Super League 1 |
| Feb 9, 2019 | Panathinaikos(home) | 1-0 | Super League 1 |
| Feb 3, 2019 | Aris Thessalonikis(away) | 0-1 | Super League 1 |
What does the head-to-head say?
Across the last 3 meetings: 1 Lamia win(s), 2 draw(s), 0 PAS Giannina win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 4, 2018 | PAS Giannina 0-0 Lamia | Super League 1 |
| Apr 29, 2018 | Lamia 2-1 PAS Giannina | Super League 1 |
| Dec 10, 2017 | PAS Giannina 1-1 Lamia | Super League 1 |
How many goals should we expect?
Lamia score 1.5 and concede 1.1 goals per match over their last 15; PAS Giannina score 0.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lamia | 1.5 | 1.1 | 5 | 6/15 | 7/15 |
| PAS Giannina | 0.6 | 1.3 | 3 | 5/15 | 4/15 |
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