AEL Kallonis vs Vyzas: result 2-1 and analysis
Football LeagueRegular Season - 25Kick-off on April 8, 2012 at 02:00 PM (UTC)Estadio Municipal, Villa Nueva
Full time
What was the result of AEL Kallonis vs Vyzas?
AEL Kallonis won 2-1 on April 8, 2012.
Goalscorers
- 34′Bartosz TarachulskiAEL Kallonis
- 90′S. PetrouVyzas
- 90′AlvesAEL Kallonis
What is the recent form of both teams?
Over their last 15 matches in all competitions, AEL Kallonis have 7 wins, 4 draws and 4 defeats; Vyzas have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2012 | Panserraikos(home) | 1-0 | Football League |
| Apr 1, 2012 | Iraklis Psachna(away) | 0-1 | Football League |
| Mar 28, 2012 | Fokikos(home) | 1-0 | Football League |
| Mar 23, 2012 | Agrotikos Asteras(away) | 3-1 | Football League |
| Mar 18, 2012 | Thrasyvoulos(home) | 2-2 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2012 | Diagoras(home) | 3-0 | Football League |
| Apr 1, 2012 | Giannitsa(away) | 1-0 | Football League |
| Mar 28, 2012 | Anagennisi Epanomis(home) | 0-0 | Football League |
| Mar 19, 2012 | Larisa(home) | 1-0 | Football League |
| Mar 14, 2012 | Pierikos(away) | 0-2 | Football League |
What does the head-to-head say?
Across the last 1 meetings: 0 AEL Kallonis win(s), 1 draw(s), 0 Vyzas win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 17, 2011 | Vyzas 1-1 AEL Kallonis | Football League |
Last archived meeting: Vyzas vs AEL Kallonis on Dec 17, 2011
How many goals should we expect?
AEL Kallonis score 1.2 and concede 0.8 goals per match over their last 15; Vyzas score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AEL Kallonis | 1.2 | 0.8 | 7 | 5/15 | 6/15 |
| Vyzas | 0.9 | 1.1 | 4 | 6/15 | 6/15 |
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