Kalamata vs Irodotos: result 2-0 and analysis
Super League 2Group B - 1Kick-off on November 6, 2022 at 11:45 AM (UTC)Gipedo Messiniakos, Kalamata
Full time
What was the result of Kalamata vs Irodotos?
Kalamata won 2-0 on November 6, 2022.
Goalscorers
- 19′G. PasasKalamata
- 59′C. RovasKalamata
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; Irodotos have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2022 | Panetolikos(home) | 2-2 | Cup |
| Sep 28, 2022 | Proodeftiki(home) | 1-0 | Cup |
| Sep 24, 2022 | Panionios(away) | 2-0 | Friendlies Clubs |
| Sep 3, 2022 | Panathinaikos II(home) | 0-1 | Friendlies Clubs |
| May 1, 2022 | Kifisia(away) | 2-1 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2022 | Asteras Vlachioti(home) | 2-1 | Super League 2 |
| Apr 27, 2022 | Ergotelis(away) | 1-0 | Super League 2 |
| Apr 17, 2022 | AE Karaiskakis(home) | 0-0 | Super League 2 |
| Apr 13, 2022 | Panathinaikos II(away) | 2-1 | Super League 2 |
| Apr 10, 2022 | Kalamata(home) | 2-1 | Super League 2 |
What does the head-to-head say?
Across the last 2 meetings: 1 Kalamata win(s), 0 draw(s), 1 Irodotos win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 10, 2022 | Irodotos 2-1 Kalamata | Super League 2 |
| Jan 12, 2022 | Kalamata 2-0 Irodotos | Super League 2 |
How many goals should we expect?
Kalamata score 1.8 and concede 0.5 goals per match over their last 15; Irodotos score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalamata | 1.8 | 0.5 | 9 | 5/15 | 7/15 |
| Irodotos | 1.2 | 1.5 | 4 | 7/15 | 10/15 |
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