Agios Nikolaos vs Atsalenios: result 3-1 and analysis
Gamma Ethniki - Group 8Group 8 · Matchday 7Kick-off on November 3, 2019 at 01:00 PM (UTC)Olympiako Stadio Spyros Louis, Athens
Full time
What was the result of Agios Nikolaos vs Atsalenios?
Agios Nikolaos won 3-1 on November 3, 2019.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Agios Nikolaos have 2 wins, 0 draws and 4 defeats; Atsalenios have 1, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Rethymniakos(away) | 1-3 | Gamma Ethniki - Group 8 |
| Oct 20, 2019 | Panakrotiriakos(home) | 2-1 | Gamma Ethniki - Group 8 |
| Oct 13, 2019 | Episkopi(away) | 0-1 | Gamma Ethniki - Group 8 |
| Oct 6, 2019 | Irodotos(home) | 0-2 | Gamma Ethniki - Group 8 |
| Sep 29, 2019 | AEEK INKA(home) | 3-1 | Gamma Ethniki - Group 8 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | AEEK INKA(away) | 1-1 | Gamma Ethniki - Group 8 |
| Oct 20, 2019 | Rethymniakos(home) | 1-1 | Gamma Ethniki - Group 8 |
| Oct 13, 2019 | Giouchtas(away) | 2-2 | Gamma Ethniki - Group 8 |
| Oct 6, 2019 | Panakrotiriakos(home) | 1-0 | Gamma Ethniki - Group 8 |
| Sep 29, 2019 | Poros(away) | 1-1 | Gamma Ethniki - Group 8 |
How many goals should we expect?
Agios Nikolaos score 1.2 and concede 1.8 goals per match over their last 6; Atsalenios score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Agios Nikolaos | 1.2 | 1.8 | 0 | 4/6 | 4/6 |
| Atsalenios | 1.1 | 1.3 | 1 | 5/7 | 2/7 |
Over the last 6 matches in all competitions.
A question about Agios Nikolaos vs Atsalenios?
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