Giannitsa vs Edessaikos: result 1-2 and analysis
Gamma Ethniki - Group 2Group 2 - 22Kick-off on February 2, 2020 at 01:00 PM (UTC)Stadio Giannitsou, Giannitsa
Full time
What was the result of Giannitsa vs Edessaikos?
Edessaikos won 1-2 on February 2, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Giannitsa have 9 wins, 5 draws and 1 defeats; Edessaikos have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 26, 2020 | Thyella Sarakinoi(away) | 0-1 | Gamma Ethniki - Group 2 |
| Jan 19, 2020 | Astrapi Mesopotamia(home) | 5-1 | Gamma Ethniki - Group 2 |
| Jan 12, 2020 | Niki Agkathia(away) | 1-1 | Gamma Ethniki - Group 2 |
| Jan 5, 2020 | Seirína(home) | 3-0 | Gamma Ethniki - Group 2 |
| Dec 18, 2019 | Almopos(home) | 1-0 | Gamma Ethniki - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 26, 2020 | Almopos(home) | 1-1 | Gamma Ethniki - Group 2 |
| Jan 19, 2020 | Makedonikos Neapolis(away) | 0-1 | Gamma Ethniki - Group 2 |
| Jan 12, 2020 | Nea Kallikrateia(home) | 1-0 | Gamma Ethniki - Group 2 |
| Jan 5, 2020 | Agrotikos Asteras(away) | 2-2 | Gamma Ethniki - Group 2 |
| Dec 18, 2019 | Aris Palaiochori(away) | 3-0 | Gamma Ethniki - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Giannitsa win(s), 1 draw(s), 0 Edessaikos win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 27, 2019 | Edessaikos 1-1 Giannitsa | Gamma Ethniki - Group 2 |
Last archived meeting: Edessaikos vs Giannitsa on Oct 27, 2019
How many goals should we expect?
Giannitsa score 1.6 and concede 0.4 goals per match over their last 15; Edessaikos score 1.5 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Giannitsa | 1.6 | 0.4 | 9 | 5/15 | 5/15 |
| Edessaikos | 1.5 | 0.6 | 7 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
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