Zakynthos vs Kifisia: result 1-1 and analysis
Super League 2Group B - 24Kick-off on March 13, 2022 at 12:00 PM (UTC)Dimotiko Stadio Zakynthos, Zakynthos
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What was the result of Zakynthos vs Kifisia?
Zakynthos and Kifisia drew 1-1 on March 13, 2022.
Goalscorers
- 38′W. ChimeliZakynthos
- 56′A. PapasavvasKifisia
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zakynthos have 4 wins, 0 draws and 11 defeats; Kifisia have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2022 | Episkopi(away) | 0-1 | Super League 2 |
| Mar 6, 2022 | Rodos(home) | 5-0 | Super League 2 |
| Feb 27, 2022 | Levadiakos(away) | 0-4 | Super League 2 |
| Feb 23, 2022 | Ergotelis(home) | 2-0 | Super League 2 |
| Feb 20, 2022 | Irodotos(home) | 1-0 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2022 | Kissamikos(home) | 1-0 | Super League 2 |
| Mar 6, 2022 | Diagoras(away) | 2-0 | Super League 2 |
| Mar 2, 2022 | Rodos(home) | 1-0 | Super League 2 |
| Feb 27, 2022 | Asteras Vlachioti(home) | 2-1 | Super League 2 |
| Feb 20, 2022 | Ergotelis(away) | 1-2 | Super League 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Zakynthos win(s), 0 draw(s), 1 Kifisia win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 19, 2022 | Kifisia 3-0 Zakynthos | Super League 2 |
How many goals should we expect?
Zakynthos score 0.9 and concede 2.0 goals per match over their last 15; Kifisia score 1.1 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zakynthos | 0.9 | 2.0 | 4 | 3/15 | 8/15 |
| Kifisia | 1.1 | 0.6 | 7 | 5/15 | 4/15 |
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