Iraklis Psachna vs Aiginiakos: result 2-0 and analysis
Football LeaguePromotion Round - 10Kick-off on May 14, 2014 at 02:00 PM (UTC)Dimotiko Stadio Psachna, Psachna
Full time
What was the result of Iraklis Psachna vs Aiginiakos?
Iraklis Psachna won 2-0 on May 14, 2014.
Goalscorers
- 47′S. KritikosIraklis Psachna
- 60′O. BoumalIraklis Psachna
What is the recent form of both teams?
Over their last 15 matches in all competitions, Iraklis Psachna have 6 wins, 6 draws and 3 defeats; Aiginiakos have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2014 | Iraklis(away) | 1-1 | Football League |
| May 7, 2014 | Chania(home) | 1-2 | Football League |
| May 4, 2014 | Fostiras(home) | 1-1 | Football League |
| Apr 30, 2014 | Niki Volos(away) | 0-0 | Football League |
| Apr 27, 2014 | AOK Kerkyra(home) | 1-1 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2014 | Fostiras(away) | 4-1 | Football League |
| May 7, 2014 | Niki Volos(home) | 0-1 | Football League |
| May 4, 2014 | AOK Kerkyra(away) | 0-2 | Football League |
| Apr 30, 2014 | Olympiakos Volos(home) | 0-0 | Football League |
| Apr 27, 2014 | Chania(away) | 0-2 | Football League |
What does the head-to-head say?
Across the last 1 meetings: 0 Iraklis Psachna win(s), 1 draw(s), 0 Aiginiakos win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 17, 2014 | Aiginiakos 1-1 Iraklis Psachna | Football League |
Last archived meeting: Aiginiakos vs Iraklis Psachna on Apr 17, 2014
How many goals should we expect?
Iraklis Psachna score 1.4 and concede 0.7 goals per match over their last 15; Aiginiakos score 1.4 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Iraklis Psachna | 1.4 | 0.7 | 6 | 7/15 | 5/15 |
| Aiginiakos | 1.4 | 0.7 | 7 | 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