Panthrakikos vs Panegialios: result 0-3 and analysis
Football LeagueRegular Season - 27Kick-off on April 23, 2017 at 12:00 PM (UTC)OPAP-Dimotiko Gipedo Komotinis, Komotini
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What was the result of Panthrakikos vs Panegialios?
Panegialios won 0-3 on April 23, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panthrakikos have 0 wins, 1 draw and 14 defeats; Panegialios have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2017 | Kallithea(away) | 0-3 | Football League |
| Apr 9, 2017 | Chania(away) | 0-3 | Football League |
| Apr 2, 2017 | Trikala(home) | 0-3 | Football League |
| Mar 26, 2017 | Panelefsiniakos(away) | 0-3 | Football League |
| Mar 22, 2017 | AEL Kallonis(home) | 0-3 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2017 | Aris Thessalonikis(home) | 0-1 | Football League |
| Apr 9, 2017 | Lamia(away) | 0-1 | Football League |
| Apr 2, 2017 | OFI(home) | 0-3 | Football League |
| Mar 26, 2017 | Acharnaikos(away) | 0-0 | Football League |
| Mar 22, 2017 | Panserraikos(home) | 1-1 | Football League |
What does the head-to-head say?
In the last meeting: 0 Panthrakikos wins, 0 draws, 1 Panegialios win.
| Date | Score | Competition |
|---|---|---|
| Jan 15, 2017 | Panegialios 3-0 Panthrakikos | Football League |
Last archived meeting: Panegialios vs Panthrakikos on Jan 15, 2017
How many goals should we expect?
Panthrakikos score 0.0 and concede 2.8 goals per match over their last 15; Panegialios score 0.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panthrakikos | 0.0 | 2.8 | 1 | 0/15 | 14/15 |
| Panegialios | 0.7 | 0.7 | 7 | 4/15 | 2/15 |
Over the last 15 matches in all competitions.
A question about Panthrakikos vs Panegialios?
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