Bærum vs Alta: result 3-1 and analysis
2. Division - Group 2Regular Season - 6Kick-off on May 19, 2019 at 12:00 PM (UTC)AJ Arena, Sandvika
Full time
What was the result of Bærum vs Alta?
Bærum won 3-1 on May 19, 2019.
Goalscorers
- 6′A. MárkusBærum
- 13′Magnus Killingberg NikolaisenAlta
- 23′Jan Christian Egseth AubertBærum (pen.)
- 72′A. KidaneBærum
What is the recent form of both teams?
Over their last 6 matches in all competitions, Bærum have 1 win, 3 draws and 2 defeats; Alta have 4, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2019 | Kjelsås(away) | 1-1 | 2. Division - Group 2 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2019 | Sotra(home) | 1-0 | 2. Division - Group 2 |
| May 5, 2019 | Kjelsås(away) | 0-2 | 2. Division - Group 2 |
| May 1, 2019 | Porsanger(away) | 3-0 | NM Cupen |
| Apr 27, 2019 | Senja(home) | 1-1 | 2. Division - Group 2 |
| Apr 22, 2019 | Grorud(away) | 2-0 | 2. Division - Group 2 |
How many goals should we expect?
Bærum score 0.7 and concede 1.5 goals per match over their last 6; Alta score 1.7 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bærum | 0.7 | 1.5 | 2 | 3/6 | 3/6 |
| Alta | 1.7 | 0.5 | 4 | 1/6 | 2/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Alta | 26 | 5 | 4 | 17 | 49 | 68 | 19 |
A question about Bærum vs Alta?
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