Atsalenios vs Poros: result 0-1 and analysis
Gamma Ethniki - Group 8Group 8 - 11Kick-off on November 27, 2019 at 01:00 PM (UTC)Stadio Atsalenios, Iraklio (Heraklion)
Full time
What was the result of Atsalenios vs Poros?
Poros won 0-1 on November 27, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Atsalenios have 2 wins, 4 draws and 4 defeats; Poros have 0, 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 | Episkopi(away) | 0-2 | Gamma Ethniki - Group 8 |
| Nov 10, 2019 | Irodotos(home) | 1-0 | Gamma Ethniki - Group 8 |
| Nov 3, 2019 | Agios Nikolaos(away) | 1-3 | Gamma Ethniki - Group 8 |
| Oct 27, 2019 | AEEK INKA(away) | 1-1 | Gamma Ethniki - Group 8 |
| Oct 20, 2019 | Rethymniakos(home) | 1-1 | Gamma Ethniki - Group 8 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2019 | Agios Nikolaos(home) | 0-1 | Gamma Ethniki - Group 8 |
| Nov 10, 2019 | Rethymniakos(away) | 0-1 | Gamma Ethniki - Group 8 |
| Nov 3, 2019 | Panakrotiriakos(away) | 0-5 | Gamma Ethniki - Group 8 |
| Oct 27, 2019 | Episkopi(home) | 0-1 | Gamma Ethniki - Group 8 |
| Oct 20, 2019 | Irodotos(away) | 1-4 | Gamma Ethniki - Group 8 |
What does the head-to-head say?
In the last meeting: 0 Atsalenios wins, 1 draw, 0 Poros wins.
| Date | Score | Competition |
|---|---|---|
| Sep 29, 2019 | Poros 1-1 Atsalenios | Gamma Ethniki - Group 8 |
How many goals should we expect?
Atsalenios score 1.0 and concede 1.4 goals per match over their last 10; Poros score 0.5 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atsalenios | 1.0 | 1.4 | 2 | 6/10 | 3/10 |
| Poros | 0.5 | 2.1 | 0 | 4/8 | 3/8 |
Over the last 10 matches in all competitions.
A question about Atsalenios vs Poros?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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