Vard vs Kjelsås: prediction and stats
2. Division - Group 2Group 2 - 14Kick-off on August 8, 2021 at 12:00 PM (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 8 wins, 4 draws and 3 defeats; Kjelsås have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Jul 21, 2021 | Flekkerøy(away) | 2-2 | 2. Division - Group 2 |
| Jul 17, 2021 | Levanger(home) | 3-1 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 1, 2021 | Grorud(home) | 0-1 | NM Cupen |
| Jul 28, 2021 | Levanger(home) | 0-1 | 2. Division - Group 2 |
| Jul 24, 2021 | Lokomotiv Oslo(away) | 1-0 | NM Cupen |
| Jul 21, 2021 | Sotra(away) | 1-3 | 2. Division - Group 2 |
| Jul 17, 2021 | Egersund(home) | 1-0 | 2. Division - Group 2 |
What does the head-to-head say?
In the last meeting: 1 Vard win, 0 draws, 0 Kjelsås wins.
| Date | Score | Competition |
|---|---|---|
| Jun 19, 2021 | Vard 1-0 Kjelsås | 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; Kjelsås score 1.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vard | 1.9 | 1.1 | 5 | 8/15 | 9/15 |
| Kjelsås | 1.2 | 1.7 | 3 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Kjelsås | 23 | 16 | 2 | 5 | 53 | 32 | 50 |
A question about Vard vs Kjelsås?
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