Kalamata vs Kifisia: result 1-2 and analysis
Super League 2Group B - 14Kick-off on March 10, 2023 at 01:15 PM (UTC)Gipedo Messiniakos, Kalamata
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What was the result of Kalamata vs Kifisia?
Kifisia won 1-2 on March 10, 2023.
Goalscorers
- 28′A. TettehKifisia
- 45′G. PasasKalamata (pen.)
- 51′M. KouiroukidisKifisia (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kalamata have 5 wins, 5 draws and 5 defeats; Kifisia have 12, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 29, 2023 | OF Ierapetra(away) | 0-0 | Super League 2 |
| Jan 21, 2023 | Proodeftiki(home) | 1-1 | Super League 2 |
| Jan 16, 2023 | Kallithea(away) | 1-2 | Super League 2 |
| Jan 10, 2023 | PAOK(away) | 0-2 | Cup |
| Jan 7, 2023 | PAO Rouf(home) | 3-0 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 18, 2023 | Panserraikos(home) | 3-0 | Friendlies Clubs |
| Jan 29, 2023 | Episkopi(home) | 6-0 | Super League 2 |
| Jan 22, 2023 | Kissamikos(away) | 0-0 | Super League 2 |
| Jan 14, 2023 | Panachaiki FC(home) | 3-0 | Super League 2 |
| Jan 11, 2023 | AEK Athens FC(away) | 0-3 | Cup |
What does the head-to-head say?
Across the last 2 meetings: 1 Kalamata win(s), 0 draw(s), 1 Kifisia win(s).
| Date | Score | Competition |
|---|---|---|
| May 1, 2022 | Kifisia 1-2 Kalamata | Super League 2 |
| Feb 6, 2022 | Kalamata 0-1 Kifisia | Super League 2 |
How many goals should we expect?
Kalamata score 1.0 and concede 0.8 goals per match over their last 15; Kifisia score 2.1 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalamata | 1.0 | 0.8 | 7 | 4/15 | 3/15 |
| Kifisia | 2.1 | 0.4 | 12 | 1/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Kalamata | 18 | 16 | 2 | 0 | 44 | 10 | 50 |
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