Chania vs Aris Thessalonikis: result 0-2 and analysis
Football LeagueRegular Season - 24Kick-off on April 2, 2017 at 12:00 PM (UTC)Gipedo Kissamos, Kissamos
Full time
What was the result of Chania vs Aris Thessalonikis?
Aris Thessalonikis won 0-2 on April 2, 2017.
Goalscorers
- 63′A. KapnidisAris Thessalonikis
- 71′A. TatosAris Thessalonikis (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chania have 6 wins, 2 draws and 7 defeats; Aris Thessalonikis have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2017 | Lamia(away) | 1-2 | Football League |
| Mar 22, 2017 | OFI(home) | 0-2 | Football League |
| Mar 19, 2017 | Acharnaikos(away) | 2-1 | Football League |
| Mar 12, 2017 | Panserraikos(home) | 0-1 | Football League |
| Mar 8, 2017 | Anagennisi Karditsas(away) | 0-2 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2017 | Trikala(away) | 0-1 | Football League |
| Mar 22, 2017 | Panelefsiniakos(home) | 4-0 | Football League |
| Mar 19, 2017 | AEL Kallonis(away) | 1-0 | Football League |
| Mar 12, 2017 | Kissamikos(home) | 1-0 | Football League |
| Mar 5, 2017 | Aiginiakos(away) | 1-0 | Football League |
What does the head-to-head say?
Across the last 1 meetings: 0 Chania win(s), 0 draw(s), 1 Aris Thessalonikis win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 22, 2016 | Aris Thessalonikis 2-1 Chania | Football League |
Last archived meeting: Aris Thessalonikis vs Chania on Dec 22, 2016
How many goals should we expect?
Chania score 1.3 and concede 1.5 goals per match over their last 15; Aris Thessalonikis score 1.3 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chania | 1.3 | 1.5 | 4 | 7/15 | 8/15 |
| Aris Thessalonikis | 1.3 | 0.6 | 8 | 4/15 | 5/15 |
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