Finikas Polichnis vs Mpam: result 1-1 and analysis
Gamma Ethniki - Group 2Group 2 - 7Kick-off on November 7, 2026 at 01:00 PM (UTC)
Full time
What was the result of Finikas Polichnis vs Mpam?
Finikas Polichnis and Mpam drew 1-1 on November 7, 2026.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Finikas Polichnis have 5 wins, 0 draws and 1 defeat; Mpam have 2, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2026 | Panedessaikos(away) | 3-1 | Gamma Ethniki - Group 2 |
| Oct 24, 2026 | Poseidon Nea Michaniona(home) | 2-1 | Gamma Ethniki - Group 2 |
| Oct 18, 2026 | Agiou Nikolaou(away) | 1-3 | Gamma Ethniki - Group 2 |
| Oct 11, 2026 | Makedonikos Neapolis(home) | 2-1 | Gamma Ethniki - Group 2 |
| Oct 3, 2026 | Polykastrou(away) | 1-0 | Gamma Ethniki - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2026 | Poseidon Nea Michaniona(away) | 0-1 | Gamma Ethniki - Group 2 |
| Oct 24, 2026 | Makedonikos Neapolis(home) | 2-2 | Gamma Ethniki - Group 2 |
| Oct 18, 2026 | Kilkisiakos(away) | 4-4 | Gamma Ethniki - Group 2 |
| Oct 11, 2026 | Akrites Sykeon(home) | 3-1 | Gamma Ethniki - Group 2 |
| Oct 3, 2026 | PAO Kristoni(home) | 3-1 | Gamma Ethniki - Group 2 |
How many goals should we expect?
Finikas Polichnis score 2.0 and concede 1.3 goals per match over their last 6; Mpam score 2.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Finikas Polichnis | 2.0 | 1.3 | 1 | 5/6 | 5/6 |
| Mpam | 2.2 | 1.7 | 0 | 5/6 | 4/6 |
Over the last 6 matches in all competitions.
A question about Finikas Polichnis vs Mpam?
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