Acharnaikos vs Thyella Diastavroseos: result 0-2 and analysis
Gamma Ethniki - Group 6Group 6 · Matchday 8Kick-off on November 10, 2019 at 01:00 PM (UTC)Gipedo Acharnaikou, Athens
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What was the result of Acharnaikos vs Thyella Diastavroseos?
Thyella Diastavroseos won 0-2 on November 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Acharnaikos have 3 wins, 1 draw and 11 defeats; Thyella Diastavroseos have 2, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Marko(away) | 1-2 | Gamma Ethniki - Group 6 |
| Oct 27, 2019 | Palliniakos(home) | 3-1 | Gamma Ethniki - Group 6 |
| Oct 20, 2019 | Nea Artaki(home) | 2-1 | Gamma Ethniki - Group 6 |
| Oct 13, 2019 | Aiolikos(away) | 0-0 | Gamma Ethniki - Group 6 |
| Sep 29, 2019 | Ipato(away) | 0-1 | Gamma Ethniki - Group 6 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2019 | Nea Artaki(home) | 0-0 | Gamma Ethniki - Group 6 |
| Oct 13, 2019 | Ipato(away) | 1-0 | Gamma Ethniki - Group 6 |
| Oct 6, 2019 | Tripolis(away) | 2-0 | Gamma Ethniki - Group 6 |
| Sep 29, 2019 | Aittitos Spaton(home) | 1-2 | Gamma Ethniki - Group 6 |
| Sep 22, 2019 | Kitheron(away) | 0-0 | Gamma Ethniki - Group 6 |
How many goals should we expect?
Acharnaikos score 0.5 and concede 2.2 goals per match over their last 15; Thyella Diastavroseos score 0.8 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Acharnaikos | 0.5 | 2.2 | 1 | 4/15 | 13/15 |
| Thyella Diastavroseos | 0.8 | 0.8 | 4 | 2/6 | 2/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Thyella Diastavroseos | 22 | 9 | 6 | 7 | 26 | 20 | 33 |
A question about Acharnaikos vs Thyella Diastavroseos?
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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