Kjelsås vs Levanger: prediction and stats
2. Division - Group 2Group 2 - 10Kick-off on June 19, 2021 at 01:00 PM (UTC)Grefsen Stadion, Oslo
Match postponed, new date to be confirmed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kjelsås have 3 wins, 6 draws and 6 defeats; Levanger have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 13, 2021 | Kongsvinger(away) | 2-4 | Friendlies Clubs |
| Jun 5, 2021 | Asker(away) | 2-2 | Friendlies Clubs |
| May 29, 2021 | Moss(home) | 2-1 | Friendlies Clubs |
| Oct 3, 2020 | Skeid(home) | 2-3 | 2. Division - Group 1 |
| Sep 26, 2020 | Floro(away) | 2-2 | 2. Division - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 11, 2021 | Rosenborg II(away) | 2-2 | Friendlies Clubs |
| Jun 4, 2021 | Stjørdals-Blink(away) | 1-3 | Friendlies Clubs |
| Jun 2, 2021 | Rosenborg II(home) | 7-0 | Friendlies Clubs |
| Oct 3, 2020 | Vard(away) | 1-2 | 2. Division - Group 2 |
| Sep 30, 2020 | Sotra(home) | 2-1 | 2. Division - Group 2 |
How many goals should we expect?
Kjelsås score 1.7 and concede 1.8 goals per match over their last 15; Levanger score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kjelsås | 1.7 | 1.8 | 1 | 13/15 | 11/15 |
| Levanger | 1.9 | 1.5 | 5 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Kjelsås sit 2nd in 2. Division - Group 2 (50 points from 23 matches) and Levanger sit 3rd (46 points from 23 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Kjelsås | 23 | 16 | 2 | 5 | 53 | 32 | 50 |
| 3 | Levanger | 23 | 15 | 1 | 7 | 53 | 27 | 46 |
A question about Kjelsås vs Levanger?
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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