Almopos vs Diagoras: result 0-0 and analysis
Super League 2Group A - 24Kick-off on May 8, 2023 at 11:45 AM (UTC)Dimotiko Stadio Arideas, Aridaea
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What was the result of Almopos vs Diagoras?
Almopos and Diagoras drew 0-0 on May 8, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Almopos have 3 wins, 8 draws and 4 defeats; Diagoras have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2023 | Anagennisi Karditsas(away) | 2-2 | Super League 2 |
| Apr 29, 2023 | Apollon Pontou(home) | 0-0 | Super League 2 |
| Apr 23, 2023 | Larisa(away) | 0-2 | Super League 2 |
| Apr 19, 2023 | Veria(home) | 2-0 | Super League 2 |
| Apr 7, 2023 | Makedonikos Neapolis(away) | 0-1 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2023 | Thesprotos(home) | 2-3 | Super League 2 |
| Apr 23, 2023 | Niki Volos(home) | 1-2 | Super League 2 |
| Apr 18, 2023 | PAOK II(away) | 3-3 | Super League 2 |
| Apr 9, 2023 | Iraklis Larissa(home) | 0-0 | Super League 2 |
| Apr 3, 2023 | Anagennisi Karditsas(away) | 1-4 | Super League 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Almopos win(s), 1 draw(s), 0 Diagoras win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 4, 2023 | Diagoras 1-1 Almopos | Super League 2 |
How many goals should we expect?
Almopos score 0.7 and concede 0.9 goals per match over their last 15; Diagoras score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Almopos | 0.7 | 0.9 | 7 | 4/15 | 3/15 |
| Diagoras | 1.5 | 1.5 | 5 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Diagoras | 8 | 3 | 2 | 3 | 9 | 7 | 19 |
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