Iraklis Psachna vs Panegialios: result 1-0 and analysis
Football LeagueNotios - 11Kick-off on December 9, 2013 at 04:00 PM (UTC)Dimotiko Stadio Psachna, Psachna
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What was the result of Iraklis Psachna vs Panegialios?
Iraklis Psachna won 1-0 on December 9, 2013.
Goalscorers
- 54′Panagiotis BakomitrosIraklis Psachna
What is the recent form of both teams?
Over their last 15 matches in all competitions, Iraklis Psachna have 6 wins, 5 draws and 4 defeats; Panegialios have 5, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 5, 2013 | Panathinaikos(away) | 0-3 | Cup |
| Nov 30, 2013 | Asteras Magoula(away) | 0-0 | Football League |
| Nov 24, 2013 | Paniliakos(home) | 0-0 | Football League |
| Nov 17, 2013 | Glyfadas(away) | 2-1 | Football League |
| Nov 10, 2013 | Olympiakos Volos(home) | 0-0 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 2, 2013 | Paniliakos(away) | 1-1 | Football League |
| Nov 24, 2013 | Olympiakos Volos(home) | 0-1 | Football League |
| Nov 17, 2013 | Panachaiki FC(away) | 0-2 | Football League |
| Nov 8, 2013 | Fokikos(home) | 1-1 | Football League |
| Nov 4, 2013 | Chania(away) | 1-1 | Football League |
What does the head-to-head say?
Across the last 1 meetings: 1 Iraklis Psachna win(s), 0 draw(s), 0 Panegialios win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 14, 2013 | Iraklis Psachna 2-1 Panegialios | Cup |
Last archived meeting: Iraklis Psachna vs Panegialios on Sep 14, 2013
How many goals should we expect?
Iraklis Psachna score 1.1 and concede 1.0 goals per match over their last 15; Panegialios score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Iraklis Psachna | 1.1 | 1.0 | 4 | 8/15 | 8/15 |
| Panegialios | 1.1 | 0.9 | 4 | 6/13 | 2/13 |
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