Kjelsås vs Bærum: result 1-1 and analysis
2. Division - Group 2Regular Season - 5Kick-off on May 11, 2019 at 02:00 PM (UTC)Grefsen Stadion, Oslo
Full time
What was the result of Kjelsås vs Bærum?
Kjelsås and Bærum drew 1-1 on May 11, 2019.
Goalscorers
- 26′W. IdrissiKjelsås
- 45′Lars Ivar SlemdalBærum
What is the recent form of both teams?
Over their last 5 matches in all competitions, Kjelsås have 4 wins, 1 draw and 0 defeats; Bærum have 1, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2019 | Alta(home) | 2-0 | 2. Division - Group 2 |
| May 1, 2019 | Åssiden IF(away) | 2-1 | NM Cupen |
| Apr 27, 2019 | Oppsal(away) | 1-1 | 2. Division - Group 2 |
| Apr 22, 2019 | Asane(home) | 2-1 | 2. Division - Group 2 |
| Apr 14, 2019 | Asker(away) | 3-1 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2019 | Grorud(away) | 1-2 | 2. Division - Group 2 |
| May 1, 2019 | Follo(away) | 0-0 | NM Cupen |
| Apr 27, 2019 | Floro(home) | 0-0 | 2. Division - Group 2 |
| Apr 22, 2019 | Elverum(away) | 2-1 | 2. Division - Group 2 |
| Apr 15, 2019 | Odd II(home) | 0-5 | 2. Division - Group 2 |
How many goals should we expect?
Kjelsås score 2.0 and concede 0.8 goals per match over their last 5; Bærum score 0.6 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kjelsås | 2.0 | 0.8 | 1 | 4/5 | 3/5 |
| Bærum | 0.6 | 1.6 | 2 | 2/5 | 3/5 |
Over the last 5 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 Kjelsås vs Bærum?
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