Iraklis Psachna vs Episkopi: result 2-0 and analysis
Football LeagueNotios - 15Kick-off on January 12, 2014 at 01:00 PM (UTC)Dimotiko Stadio Psachna, Psachna
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What was the result of Iraklis Psachna vs Episkopi?
Iraklis Psachna won 2-0 on January 12, 2014.
Goalscorers
- 12′S. KritikosIraklis Psachna
- 60′Panagiotis BakomitrosIraklis Psachna
What is the recent form of both teams?
Over their last 15 matches in all competitions, Iraklis Psachna have 5 wins, 6 draws and 4 defeats; Episkopi have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 5, 2014 | Chania(away) | 0-0 | Football League |
| Dec 22, 2013 | Fostiras(home) | 2-1 | Football League |
| Dec 16, 2013 | Kallithea(away) | 0-0 | Football League |
| Dec 9, 2013 | Panegialios(home) | 1-0 | Football League |
| Dec 5, 2013 | Panathinaikos(away) | 0-3 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 5, 2014 | Fostiras(away) | 0-3 | Football League |
| Dec 23, 2013 | Panegialios(home) | 2-0 | Football League |
| Dec 15, 2013 | Paniliakos(away) | 2-1 | Football League |
| Dec 8, 2013 | Olympiakos Volos(home) | 0-2 | Football League |
| Dec 1, 2013 | Panachaiki FC(away) | 1-0 | Football League |
What does the head-to-head say?
Across the last 1 meetings: 0 Iraklis Psachna win(s), 1 draw(s), 0 Episkopi win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2013 | Episkopi 2-2 Iraklis Psachna | Football League |
Last archived meeting: Episkopi vs Iraklis Psachna on Oct 6, 2013
How many goals should we expect?
Iraklis Psachna score 0.8 and concede 0.8 goals per match over their last 15; Episkopi score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Iraklis Psachna | 0.8 | 0.8 | 7 | 5/15 | 6/15 |
| Episkopi | 1.1 | 1.1 | 7 | 4/15 | 7/15 |
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