Kifisia vs Kalamata: result 1-2 and analysis
Super League 2Group B - 34Kick-off on May 1, 2022 at 11:45 AM (UTC)Stadio Kaisarianis Michalis Kritikopoulos, Athens
Full time
What was the result of Kifisia vs Kalamata?
Kalamata won 1-2 on May 1, 2022.
Goalscorers
- 3′I. OikonomidisKifisia
- 67′G. LoukinasKalamata (pen.)
- 85′G. LoukinasKalamata
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kifisia have 7 wins, 3 draws and 5 defeats; Kalamata have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2022 | AEK Athens II(away) | 2-2 | Super League 2 |
| Apr 13, 2022 | Episkopi(home) | 0-1 | Super League 2 |
| Apr 10, 2022 | Rodos(away) | 3-1 | Super League 2 |
| Apr 6, 2022 | Levadiakos(home) | 1-4 | Super League 2 |
| Apr 3, 2022 | Irodotos(away) | 2-3 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2022 | Episkopi(home) | 5-0 | Super League 2 |
| Apr 17, 2022 | Rodos(away) | 3-0 | Super League 2 |
| Apr 13, 2022 | Levadiakos(home) | 1-0 | Super League 2 |
| Apr 10, 2022 | Irodotos(away) | 1-2 | Super League 2 |
| Apr 6, 2022 | Egaleo(home) | 3-0 | Super League 2 |
What does the head-to-head say?
Across the last 1 meetings: 1 Kifisia win(s), 0 draw(s), 0 Kalamata win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 6, 2022 | Kalamata 0-1 Kifisia | Super League 2 |
How many goals should we expect?
Kifisia score 1.3 and concede 1.1 goals per match over their last 15; Kalamata score 1.8 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kifisia | 1.3 | 1.1 | 5 | 8/15 | 7/15 |
| Kalamata | 1.8 | 0.6 | 9 | 5/15 | 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