Kalamata vs Aspropyrgos Enosis: result 2-2 and analysis
Football LeagueRegular Season - 9Kick-off on November 24, 2019 at 01:00 PM (UTC)Gipedo Messiniakos, Kalamata
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What was the result of Kalamata vs Aspropyrgos Enosis?
Kalamata and Aspropyrgos Enosis drew 2-2 on November 24, 2019.
Goalscorers
- 28′?Aspropyrgos Enosis
- 35′N. SrećkovićAspropyrgos Enosis
- 78′?Kalamata
- 90′?Kalamata
What is the recent form of both teams?
Over their last 14 matches in all competitions, Kalamata have 4 wins, 5 draws and 5 defeats; Aspropyrgos Enosis have 3, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Kavala(away) | 1-2 | Football League |
| Nov 10, 2019 | Triglia(away) | 0-1 | Football League |
| Nov 3, 2019 | Olympiakos Volos(home) | 1-2 | Football League |
| Oct 30, 2019 | Larisa(home) | 3-0 | Cup |
| Oct 27, 2019 | Diagoras(away) | 0-2 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | OF Ierapetra(home) | 3-0 | Football League |
| Nov 10, 2019 | Thesprotos(away) | 0-1 | Football League |
| Nov 3, 2019 | Trikala(home) | 1-1 | Football League |
| Oct 26, 2019 | Veria(away) | 1-1 | Football League |
| Oct 20, 2019 | Egaleo(home) | 1-1 | Football League |
How many goals should we expect?
Kalamata score 1.1 and concede 1.0 goals per match over their last 14; Aspropyrgos Enosis score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalamata | 1.1 | 1.0 | 6 | 5/14 | 5/14 |
| Aspropyrgos Enosis | 1.0 | 1.0 | 3 | 4/10 | 2/10 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
Kalamata sit 14th in Football League (19 points from 23 matches) and Aspropyrgos Enosis sit 12th (20 points from 23 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Aspropyrgos Enosis | 23 | 5 | 8 | 10 | 21 | 33 | 20 |
| 14 | Kalamata | 23 | 5 | 4 | 14 | 17 | 28 | 19 |
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