Panargiakos vs Tsilivi: result 2-2 and analysis
Gamma Ethniki - Group 7Group 7 · Matchday 12Kick-off on December 8, 2019 at 12:00 PM (UTC)Dimotiko Athlitiko Kentro Argous-Mykinon, Argos
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What was the result of Panargiakos vs Tsilivi?
Panargiakos and Tsilivi drew 2-2 on December 8, 2019.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Panargiakos have 1 win, 5 draws and 6 defeats; Tsilivi have 5, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2019 | Pellana(away) | 0-1 | Gamma Ethniki - Group 7 |
| Nov 24, 2019 | Pangytheatikos(away) | 1-0 | Gamma Ethniki - Group 7 |
| Nov 16, 2019 | Zakynthos(home) | 0-0 | Gamma Ethniki - Group 7 |
| Nov 10, 2019 | Nafplio 2017(away) | 1-3 | Gamma Ethniki - Group 7 |
| Nov 3, 2019 | Asteras Vlachioti(home) | 0-1 | Gamma Ethniki - Group 7 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2019 | Pangytheatikos(home) | 2-0 | Gamma Ethniki - Group 7 |
| Nov 24, 2019 | Zakynthos(away) | 3-1 | Gamma Ethniki - Group 7 |
| Nov 16, 2019 | Nafplio 2017(home) | 2-2 | Gamma Ethniki - Group 7 |
| Nov 10, 2019 | Asteras Vlachioti(away) | 0-2 | Gamma Ethniki - Group 7 |
| Nov 3, 2019 | PAO Vardas(home) | 1-1 | Gamma Ethniki - Group 7 |
How many goals should we expect?
Panargiakos score 0.3 and concede 1.1 goals per match over their last 12; Tsilivi score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panargiakos | 0.3 | 1.1 | 5 | 2/12 | 2/12 |
| Tsilivi | 1.9 | 1.5 | 1 | 9/11 | 7/11 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Panargiakos | 2 | 0 | 2 | 0 | 1 | 1 | 2 |
A question about Panargiakos vs Tsilivi?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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