PAOK II vs Veria: prediction and stats
Super League 2Group A - 20Kick-off on March 6, 2022 at 01:00 PM (UTC)Gipedo Neas Efkarpias Makedonikou, Thessaloníki
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, PAOK II have 6 wins, 6 draws and 3 defeats; Veria have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2022 | Apollon Pontou(home) | 2-1 | Super League 2 |
| Mar 2, 2022 | Olympiakos Volos(away) | 1-3 | Super League 2 |
| Feb 26, 2022 | Veria(away) | 1-2 | Super League 2 |
| Feb 20, 2022 | Iraklis 1908(home) | 0-0 | Super League 2 |
| Feb 16, 2022 | Panserraikos(away) | 2-1 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2022 | Anagennisi Karditsas(away) | 2-5 | Super League 2 |
| Feb 26, 2022 | PAOK II(home) | 2-1 | Super League 2 |
| Feb 16, 2022 | Niki Volos(home) | 1-0 | Super League 2 |
| Feb 12, 2022 | Almopos(away) | 2-1 | Super League 2 |
| Feb 6, 2022 | Kavala(away) | 2-0 | Super League 2 |
What does the head-to-head say?
Across the last 2 meetings: 0 PAOK II wins, 0 draws, 2 Veria wins.
| Date | Score | Competition |
|---|---|---|
| Feb 26, 2022 | Veria 2-1 PAOK II | Super League 2 |
| Nov 24, 2021 | PAOK II 1-2 Veria | Super League 2 |
How many goals should we expect?
PAOK II score 1.2 and concede 0.9 goals per match over their last 15; Veria score 2.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PAOK II | 1.2 | 0.9 | 5 | 9/15 | 8/15 |
| Veria | 2.3 | 0.9 | 6 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | PAOK II | 9 | 2 | 3 | 4 | 6 | 11 | 9 |
A question about PAOK II vs Veria?
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