Vard vs Levanger: prediction and stats
2. Division - Group 2Group 2 - 16Kick-off on August 22, 2021 at 11:00 AM (UTC)Sakkestad gras, Haugesund
Match postponed, new date to be confirmed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vard have 7 wins, 5 draws and 3 defeats; Levanger have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2021 | Rosenborg II(home) | 1-1 | 2. Division - Group 2 |
| Aug 13, 2021 | Odd II(home) | 0-1 | 2. Division - Group 2 |
| Aug 4, 2021 | Øygarden(away) | 1-3 | 2. Division - Group 2 |
| Jul 29, 2021 | Notodden(home) | 3-2 | 2. Division - Group 2 |
| Jul 25, 2021 | Åkra(away) | 2-2 | NM Cupen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2021 | Fram(home) | 2-4 | 2. Division - Group 2 |
| Aug 14, 2021 | Arendal(away) | 1-1 | 2. Division - Group 2 |
| Aug 4, 2021 | Odd II(home) | 3-0 | 2. Division - Group 2 |
| Aug 1, 2021 | Ranheim(home) | 0-2 | NM Cupen |
| Jul 28, 2021 | Kjelsås(away) | 1-0 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 2 meetings: 2 Vard wins, 0 draws, 0 Levanger wins.
| Date | Score | Competition |
|---|---|---|
| Jul 17, 2021 | Vard 3-1 Levanger | 2. Division - Group 2 |
| Oct 3, 2020 | Vard 2-1 Levanger | 2. Division - Group 2 |
How many goals should we expect?
Vard score 1.9 and concede 1.1 goals per match over their last 15; Levanger score 2.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vard | 1.9 | 1.1 | 5 | 8/15 | 8/15 |
| Levanger | 2.7 | 1.9 | 5 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Levanger | 23 | 15 | 1 | 7 | 53 | 27 | 46 |
A question about Vard vs Levanger?
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