Pierikos vs Thyella Sarakinoi: result 0-1 and analysis
Gamma Ethniki - Group 2Group 2 · Matchday 12Kick-off on February 4, 2023 at 01:00 PM (UTC)Stadio Katerinis, Katerini
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What was the result of Pierikos vs Thyella Sarakinoi?
Thyella Sarakinoi won 0-1 on February 4, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pierikos have 8 wins, 3 draws and 4 defeats; Thyella Sarakinoi have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 29, 2023 | Makedonikos Foufas(away) | 2-1 | Gamma Ethniki - Group 2 |
| Jan 22, 2023 | Kozani(away) | 0-2 | Gamma Ethniki - Group 2 |
| Jan 15, 2023 | Ethnikos Neou Keramidiou(home) | 2-1 | Gamma Ethniki - Group 2 |
| Jan 8, 2023 | Svoronos(away) | 2-0 | Gamma Ethniki - Group 2 |
| Dec 21, 2022 | Pontion Karagiannion(home) | 4-3 | Gamma Ethniki - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 29, 2023 | Kozani(home) | 1-1 | Gamma Ethniki - Group 2 |
| Jan 22, 2023 | Ethnikos Neou Keramidiou(away) | 2-2 | Gamma Ethniki - Group 2 |
| Jan 15, 2023 | Svoronos(home) | 2-2 | Gamma Ethniki - Group 2 |
| Jan 8, 2023 | Pontion Karagiannion(away) | 0-1 | Gamma Ethniki - Group 2 |
| Dec 21, 2022 | PAO Kristoni(home) | 4-0 | Gamma Ethniki - Group 2 |
How many goals should we expect?
Pierikos score 1.5 and concede 1.1 goals per match over their last 15; Thyella Sarakinoi score 2.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pierikos | 1.5 | 1.1 | 4 | 8/15 | 9/15 |
| Thyella Sarakinoi | 2.0 | 1.3 | 3 | 10/15 | 10/15 |
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 | Pierikos | 22 | 9 | 3 | 10 | 22 | 23 | 30 |
A question about Pierikos vs Thyella Sarakinoi?
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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