Kifisia vs Kissamikos: prediction and stats
Super League 2Group B · Matchday 11Kick-off on January 9, 2022 at 01:00 PM (UTC)Stadio Kaisarianis Michalis Kritikopoulos, Athens
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kifisia have 7 wins, 2 draws and 6 defeats; Kissamikos have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 29, 2021 | Egaleo(away) | 0-1 | Super League 2 |
| Dec 23, 2021 | AEK Athens FC(home) | 1-1 | Cup |
| Dec 19, 2021 | Kallithea(home) | 1-0 | Super League 2 |
| Dec 15, 2021 | OF Ierapetra(away) | 1-2 | Super League 2 |
| Dec 5, 2021 | Kissamikos(away) | 0-3 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 29, 2021 | AE Karaiskakis(home) | 4-0 | Super League 2 |
| Dec 18, 2021 | Panathinaikos II(away) | 2-0 | Super League 2 |
| Dec 15, 2021 | Kalamata(home) | 1-2 | Super League 2 |
| Dec 12, 2021 | AEK Athens II(away) | 0-1 | Super League 2 |
| Dec 5, 2021 | Kifisia(home) | 3-0 | Super League 2 |
What does the head-to-head say?
In the last meeting: 0 Kifisia wins, 0 draws, 1 Kissamikos win.
| Date | Score | Competition |
|---|---|---|
| Dec 5, 2021 | Kissamikos 3-0 Kifisia | Super League 2 |
How many goals should we expect?
Kifisia score 1.4 and concede 1.1 goals per match over their last 15; Kissamikos score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kifisia | 1.4 | 1.1 | 7 | 5/15 | 7/15 |
| Kissamikos | 1.3 | 1.1 | 5 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Kissamikos | 18 | 3 | 3 | 12 | 11 | 28 | 12 |
A question about Kifisia vs Kissamikos?
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