AEL Kallonis vs Acharnaikos: result 2-1 and analysis
Football LeagueRegular Season - 18Kick-off on February 26, 2017 at 01:00 PM (UTC)Stadio Municipal, Mytilene
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What was the result of AEL Kallonis vs Acharnaikos?
AEL Kallonis won 2-1 on February 26, 2017.
Goalscorers
- 45′Mahamane CisséAEL Kallonis
- 53′Andrea MeziniAcharnaikos
- 55′Giorgos SofianisAEL Kallonis
What is the recent form of both teams?
Over their last 15 matches in all competitions, AEL Kallonis have 2 wins, 5 draws and 8 defeats; Acharnaikos have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 22, 2017 | Panserraikos(away) | 1-3 | Football League |
| Feb 19, 2017 | Agrotikos Asteras(home) | 1-0 | Football League |
| Feb 12, 2017 | Panegialios(away) | 0-2 | Football League |
| Feb 5, 2017 | Kallithea(home) | 2-0 | Football League |
| Jan 29, 2017 | Chania(away) | 0-4 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 22, 2017 | Kissamikos(away) | 0-1 | Football League |
| Feb 19, 2017 | Aiginiakos(home) | 3-1 | Football League |
| Feb 12, 2017 | Anagennisi Karditsas(away) | 0-2 | Football League |
| Feb 5, 2017 | Sparti(home) | 1-2 | Football League |
| Jan 29, 2017 | Panthrakikos(away) | 3-0 | Football League |
What does the head-to-head say?
Across the last 1 meetings: 0 AEL Kallonis win(s), 0 draw(s), 1 Acharnaikos win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 30, 2016 | Acharnaikos 3-0 AEL Kallonis | Football League |
Last archived meeting: Acharnaikos vs AEL Kallonis on Oct 30, 2016
How many goals should we expect?
AEL Kallonis score 0.7 and concede 1.9 goals per match over their last 15; Acharnaikos score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AEL Kallonis | 0.7 | 1.9 | 4 | 7/15 | 6/15 |
| Acharnaikos | 1.3 | 1.5 | 2 | 8/15 | 10/15 |
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