Panegialios vs Glyfadas: result 2-1 and analysis
Football LeagueNotios - 16Kick-off on January 19, 2014 at 01:00 PM (UTC)Ethniko Stadio Aigio, Aigio
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What was the result of Panegialios vs Glyfadas?
Panegialios won 2-1 on January 19, 2014.
Goalscorers
- 54′G. BourlakisPanegialios
- 68′Vassilis TabakisGlyfadas
- 69′G. IoannouPanegialios
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panegialios have 5 wins, 6 draws and 4 defeats; Glyfadas have 1, 2 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 12, 2014 | Vyzas(away) | 1-1 | Football League |
| Jan 5, 2014 | Acharnaikos(home) | 0-0 | Football League |
| Dec 23, 2013 | Episkopi(away) | 0-2 | Football League |
| Dec 15, 2013 | Fostiras(home) | 1-0 | Football League |
| Dec 9, 2013 | Iraklis Psachna(away) | 0-1 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 13, 2014 | Paniliakos(home) | 0-7 | Football League |
| Jan 4, 2014 | Olympiakos Volos(home) | 0-4 | Football League |
| Dec 22, 2013 | Panachaiki FC(away) | 1-2 | Football League |
| Dec 15, 2013 | Fokikos(home) | 0-2 | Football League |
| Dec 8, 2013 | Chania(away) | 0-2 | Football League |
What does the head-to-head say?
Across the last 1 meetings: 1 Panegialios win(s), 0 draw(s), 0 Glyfadas win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 13, 2013 | Glyfadas 0-2 Panegialios | Football League |
Last archived meeting: Glyfadas vs Panegialios on Oct 13, 2013
How many goals should we expect?
Panegialios score 0.8 and concede 0.7 goals per match over their last 15; Glyfadas score 0.7 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panegialios | 0.8 | 0.7 | 6 | 5/15 | 0/15 |
| Glyfadas | 0.7 | 2.5 | 0 | 8/15 | 8/15 |
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