Aris Thessalonikis vs AEL Kallonis: result 0-2 and analysis
Super League 1Regular Season - 2Kick-off on August 25, 2013 at 04:15 PM (UTC)Stadio Harilaou Kleánthis Vikelídis, Thessaloníki
Full time
What was the result of Aris Thessalonikis vs AEL Kallonis?
AEL Kallonis won 0-2 on August 25, 2013.
Goalscorers
- 11′Anestis AnastasiadisAEL Kallonis
- 90′Jonan GarcíaAEL Kallonis
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aris Thessalonikis have 4 wins, 5 draws and 6 defeats; AEL Kallonis have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2013 | Apollon Smirnis(away) | 1-2 | Super League 1 |
| Apr 21, 2013 | Xanthi FC(away) | 0-0 | Super League 1 |
| Apr 14, 2013 | Asteras Tripolis(home) | 5-1 | Super League 1 |
| Apr 6, 2013 | Atromitos(away) | 1-0 | Super League 1 |
| Mar 30, 2013 | Panthrakikos(home) | 0-0 | Super League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2013 | Olympiakos Piraeus(home) | 0-1 | Super League 1 |
| May 26, 2013 | Olympiakos Volos(home) | 2-2 | Football League |
| May 22, 2013 | Giannitsa(away) | 3-0 | Football League |
| May 19, 2013 | Anagennisi Epanomis(home) | 3-1 | Football League |
| May 15, 2013 | Panserraikos(away) | 3-1 | Football League |
How many goals should we expect?
Aris Thessalonikis score 1.3 and concede 1.3 goals per match over their last 15; AEL Kallonis score 1.8 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aris Thessalonikis | 1.3 | 1.3 | 5 | 7/15 | 7/15 |
| AEL Kallonis | 1.8 | 0.7 | 7 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Aris Thessalonikis | 1 | 1 | 0 | 0 | 3 | 2 | 3 |
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