Kallithea vs Aiginiakos: result 0-1 and analysis
Football LeagueRegular Season - 29Kick-off on May 7, 2017 at 02:00 PM (UTC)Stadio Kallitheas Grigóris Lamprákis, Athína (Athens)
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What was the result of Kallithea vs Aiginiakos?
Aiginiakos won 0-1 on May 7, 2017.
Goalscorers
- 90′B. RangelovAiginiakos
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kallithea have 2 wins, 4 draws and 9 defeats; Aiginiakos have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2017 | Anagennisi Karditsas(away) | 0-1 | Football League |
| Apr 23, 2017 | Sparti(away) | 1-2 | Football League |
| Apr 12, 2017 | Panthrakikos(home) | 3-0 | Football League |
| Apr 9, 2017 | Aris Thessalonikis(away) | 0-3 | Football League |
| Apr 2, 2017 | Lamia(home) | 0-1 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2017 | Chania(home) | 5-1 | Football League |
| Apr 23, 2017 | Trikala(away) | 0-5 | Football League |
| Apr 13, 2017 | Panelefsiniakos(home) | 0-0 | Football League |
| Apr 9, 2017 | AEL Kallonis(away) | 3-1 | Football League |
| Apr 2, 2017 | Kissamikos(home) | 2-0 | Football League |
What does the head-to-head say?
In the last meeting: 1 Kallithea win, 0 draws, 0 Aiginiakos wins.
| Date | Score | Competition |
|---|---|---|
| Jan 22, 2017 | Aiginiakos 1-2 Kallithea | Football League |
Last archived meeting: Aiginiakos vs Kallithea on Jan 22, 2017
How many goals should we expect?
Kallithea score 0.9 and concede 1.4 goals per match over their last 15; Aiginiakos score 1.2 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kallithea | 0.9 | 1.4 | 2 | 7/15 | 7/15 |
| Aiginiakos | 1.2 | 1.4 | 5 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Kallithea vs Aiginiakos?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy