Veria vs Pierikos: prediction and stats
Super League 2Group A - 15Kick-off on February 6, 2022 at 01:00 PM (UTC)Stadio Verias, Veroia (Veria)
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Veria have 10 wins, 3 draws and 2 defeats; Pierikos have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 30, 2022 | Thesprotos(home) | 2-1 | Super League 2 |
| Jan 26, 2022 | Apollon Pontou(home) | 5-0 | Super League 2 |
| Jan 22, 2022 | Xanthi FC(away) | 3-0 | Super League 2 |
| Jan 16, 2022 | Pierikos(home) | 4-1 | Super League 2 |
| Dec 29, 2021 | Iraklis 1908(away) | 0-1 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 2, 2022 | Iraklis 1908(home) | 2-2 | Super League 2 |
| Jan 30, 2022 | Anagennisi Karditsas(away) | 0-2 | Super League 2 |
| Jan 26, 2022 | Panserraikos(away) | 1-1 | Super League 2 |
| Jan 23, 2022 | Apollon Pontou(home) | 1-0 | Super League 2 |
| Jan 19, 2022 | Olympiakos Piraeus II(home) | 1-2 | Super League 2 |
What does the head-to-head say?
Across the last 5 meetings: 4 Veria wins, 0 draws, 1 Pierikos win.
| Date | Score | Competition |
|---|---|---|
| Jan 16, 2022 | Veria 4-1 Pierikos | Super League 2 |
| Jun 20, 2021 | Veria 2-1 Pierikos | Football League |
| Apr 28, 2021 | Pierikos 0-1 Veria | Football League |
| Mar 18, 2012 | Veria 0-2 Pierikos | Football League |
| Nov 11, 2011 | Pierikos 1-3 Veria | Football League |
How many goals should we expect?
Veria score 2.2 and concede 0.7 goals per match over their last 15; Pierikos score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Veria | 2.2 | 0.7 | 6 | 7/15 | 9/15 |
| Pierikos | 1.0 | 1.3 | 6 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Veria vs Pierikos?
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