Kifisia vs Episkopi: result 0-1 and analysis
Super League 2Group B - 31Kick-off on April 13, 2022 at 12:00 PM (UTC)Stadio Kaisarianis Michalis Kritikopoulos, Athens
Full time
What was the result of Kifisia vs Episkopi?
Episkopi won 0-1 on April 13, 2022.
Goalscorers
- 67′A. TsavosEpiskopi
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; Episkopi have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Mar 30, 2022 | Egaleo(home) | 1-0 | Super League 2 |
| Mar 27, 2022 | Kallithea(away) | 0-1 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2022 | Rodos(home) | 4-2 | Super League 2 |
| Apr 3, 2022 | Levadiakos(away) | 0-1 | Super League 2 |
| Mar 30, 2022 | Irodotos(home) | 1-0 | Super League 2 |
| Mar 26, 2022 | Egaleo(away) | 1-1 | Super League 2 |
| Mar 20, 2022 | Kallithea(home) | 1-1 | Super League 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Kifisia win(s), 0 draw(s), 1 Episkopi win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 16, 2022 | Episkopi 1-0 Kifisia | Super League 2 |
How many goals should we expect?
Kifisia score 1.2 and concede 1.1 goals per match over their last 15; Episkopi score 1.0 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kifisia | 1.2 | 1.1 | 5 | 8/15 | 6/15 |
| Episkopi | 1.0 | 0.5 | 9 | 4/15 | 2/15 |
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 | Kifisia | 18 | 14 | 3 | 1 | 40 | 13 | 45 |
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