Olympiakos Zacharo vs Asteras Vlachioti: result 0-1 and analysis
Gamma Ethniki - Group 7Group 7 · Matchday 10Kick-off on November 24, 2019 at 01:00 PM (UTC)
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What was the result of Olympiakos Zacharo vs Asteras Vlachioti?
Asteras Vlachioti won 0-1 on November 24, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Olympiakos Zacharo have 1 win, 2 draws and 6 defeats; Asteras Vlachioti have 5, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2019 | PAO Vardas(away) | 1-2 | Gamma Ethniki - Group 7 |
| Nov 10, 2019 | Diavolitsi(home) | 0-1 | Gamma Ethniki - Group 7 |
| Nov 3, 2019 | Thyella Patras(away) | 2-3 | Gamma Ethniki - Group 7 |
| Oct 27, 2019 | Paniliakos(home) | 1-1 | Gamma Ethniki - Group 7 |
| Oct 20, 2019 | Ermionida(away) | 0-3 | Gamma Ethniki - Group 7 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2019 | Diagoras Vrachneika(home) | 1-1 | Gamma Ethniki - Group 7 |
| Nov 10, 2019 | Tsilivi(home) | 2-0 | Gamma Ethniki - Group 7 |
| Nov 3, 2019 | Panargiakos(away) | 1-0 | Gamma Ethniki - Group 7 |
| Oct 27, 2019 | Pangytheatikos(home) | 1-0 | Gamma Ethniki - Group 7 |
| Oct 20, 2019 | Zakynthos(away) | 1-2 | Gamma Ethniki - Group 7 |
How many goals should we expect?
Olympiakos Zacharo score 0.8 and concede 1.7 goals per match over their last 9; Asteras Vlachioti score 1.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Olympiakos Zacharo | 0.8 | 1.7 | 2 | 4/9 | 4/9 |
| Asteras Vlachioti | 1.0 | 0.7 | 5 | 2/9 | 1/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Asteras Vlachioti | 2 | 0 | 1 | 1 | 3 | 4 | 1 |
A question about Olympiakos Zacharo vs Asteras Vlachioti?
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