Kalamata vs Panathinaikos II: result 0-1 and analysis
Friendlies ClubsClub Friendlies 5Kick-off on September 3, 2022 at 03:00 PM (UTC)Gipedo Messiniakos, Kalamata
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What was the result of Kalamata vs Panathinaikos II?
Panathinaikos II won 0-1 on September 3, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kalamata have 9 wins, 4 draws and 2 defeats; Panathinaikos II have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2022 | Kifisia(away) | 2-1 | Super League 2 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2022 | Episkopi(away) | 2-3 | Super League 2 |
| Apr 27, 2022 | Rodos(home) | 3-0 | Super League 2 |
| Apr 16, 2022 | Levadiakos(away) | 0-3 | Super League 2 |
| Apr 13, 2022 | Irodotos(home) | 1-2 | Super League 2 |
| Apr 9, 2022 | Egaleo(away) | 1-2 | Super League 2 |
What does the head-to-head say?
Across the last 2 meetings: 1 Kalamata win, 0 draws, 1 Panathinaikos II win.
| Date | Score | Competition |
|---|---|---|
| Feb 20, 2022 | Panathinaikos II 1-2 Kalamata | Super League 2 |
| Nov 20, 2021 | Kalamata 1-2 Panathinaikos II | Super League 2 |
Last archived meeting: Panathinaikos II vs Kalamata on Feb 20, 2022
How many goals should we expect?
Kalamata score 1.8 and concede 0.6 goals per match over their last 15; Panathinaikos II score 1.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalamata | 1.8 | 0.6 | 9 | 5/15 | 7/15 |
| Panathinaikos II | 1.0 | 1.4 | 5 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Kalamata vs Panathinaikos II?
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