Asteras Vlachioti vs Ermionida: result 4-0 and analysis
Gamma Ethniki - Group 7Group 7 - 11Kick-off on December 1, 2019 at 01:00 PM (UTC)Gipedo Vlachiotis, Evrotas
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What was the result of Asteras Vlachioti vs Ermionida?
Asteras Vlachioti won 4-0 on December 1, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Asteras Vlachioti have 6 wins, 1 draw and 3 defeats; Ermionida have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Olympiakos Zacharo(away) | 1-0 | Gamma Ethniki - Group 7 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | PAO Vardas(home) | 1-1 | Gamma Ethniki - Group 7 |
| Nov 16, 2019 | Diavolitsi(away) | 0-1 | Gamma Ethniki - Group 7 |
| Nov 10, 2019 | Thyella Patras(home) | 7-0 | Gamma Ethniki - Group 7 |
| Nov 3, 2019 | Paniliakos(away) | 3-2 | Gamma Ethniki - Group 7 |
| Oct 27, 2019 | Pellana(home) | 2-2 | Gamma Ethniki - Group 7 |
How many goals should we expect?
Asteras Vlachioti score 1.0 and concede 0.6 goals per match over their last 10; Ermionida score 2.4 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Asteras Vlachioti | 1.0 | 0.6 | 6 | 2/10 | 1/10 |
| Ermionida | 2.4 | 1.6 | 3 | 8/15 | 9/15 |
Over the last 10 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 Asteras Vlachioti vs Ermionida?
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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