Poseidon Nea Michaniona vs Orfeas Xanthi: result 2-1 and analysis
Gamma Ethniki - Group 1Group 1 - 11Kick-off on January 18, 2023 at 01:00 PM (UTC)Gipedo Podosferou, Nea Michaniona
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What was the result of Poseidon Nea Michaniona vs Orfeas Xanthi?
Poseidon Nea Michaniona won 2-1 on January 18, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Poseidon Nea Michaniona have 8 wins, 3 draws and 4 defeats; Orfeas Xanthi have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 14, 2023 | Byron Kavala(away) | 2-2 | Gamma Ethniki - Group 1 |
| Jan 8, 2023 | Antheias-Aristinou(home) | 2-0 | Gamma Ethniki - Group 1 |
| Dec 21, 2022 | Agrotikos Asteras(away) | 1-0 | Gamma Ethniki - Group 1 |
| Dec 17, 2022 | Kampaniakos Chalastra(home) | 0-1 | Gamma Ethniki - Group 1 |
| Dec 11, 2022 | Thermaikos Thermis(home) | 1-1 | Gamma Ethniki - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 14, 2023 | Pandramaikos(home) | 2-1 | Gamma Ethniki - Group 1 |
| Jan 7, 2023 | Apollon Paralimniou(away) | 1-5 | Gamma Ethniki - Group 1 |
| Dec 21, 2022 | Byron Kavala(away) | 1-1 | Gamma Ethniki - Group 1 |
| Dec 17, 2022 | Antheias-Aristinou(home) | 2-1 | Gamma Ethniki - Group 1 |
| Dec 11, 2022 | Agrotikos Asteras(home) | 1-1 | Gamma Ethniki - Group 1 |
How many goals should we expect?
Poseidon Nea Michaniona score 1.5 and concede 0.9 goals per match over their last 15; Orfeas Xanthi score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Poseidon Nea Michaniona | 1.5 | 0.9 | 4 | 7/15 | 6/15 |
| Orfeas Xanthi | 1.1 | 1.5 | 4 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Poseidon Nea Michaniona | 22 | 8 | 10 | 4 | 28 | 22 | 34 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy