Alta vs Bærum: result 1-2 and analysis
2. Division - Group 2Regular Season - 14Kick-off on August 4, 2019 at 12:00 PM (UTC)SmartDok Arena, Alta
Full time
What was the result of Alta vs Bærum?
Bærum won 1-2 on August 4, 2019.
Goalscorers
- 45′A. MárkusBærum
- 69′A. MárkusBærum
- 90′C. ReginiussenAlta
What is the recent form of both teams?
Over their last 15 matches in all competitions, Alta have 7 wins, 2 draws and 6 defeats; Bærum have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 27, 2019 | Asane(away) | 1-3 | 2. Division - Group 2 |
| Jul 20, 2019 | Floro(home) | 3-0 | 2. Division - Group 2 |
| Jun 24, 2019 | Odd II(away) | 0-5 | 2. Division - Group 2 |
| Jun 20, 2019 | Stabaek(home) | 1-4 | NM Cupen |
| Jun 16, 2019 | Elverum(home) | 3-1 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 27, 2019 | Oppsal(home) | 5-5 | 2. Division - Group 2 |
| Jul 21, 2019 | Fram(away) | 0-3 | 2. Division - Group 2 |
| Jun 26, 2019 | Fram(away) | 1-3 | NM Cupen |
| Jun 22, 2019 | Sotra(home) | 2-2 | 2. Division - Group 2 |
| Jun 19, 2019 | Valerenga(home) | 5-3 | NM Cupen |
What does the head-to-head say?
In the last meeting: 0 Alta wins, 0 draws, 1 Bærum win.
| Date | Score | Competition |
|---|---|---|
| May 19, 2019 | Bærum 3-1 Alta | 2. Division - Group 2 |
How many goals should we expect?
Alta score 1.7 and concede 1.7 goals per match over their last 15; Bærum score 1.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Alta | 1.7 | 1.7 | 5 | 8/15 | 11/15 |
| Bærum | 1.9 | 1.7 | 3 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Alta | 26 | 5 | 4 | 17 | 49 | 68 | 19 |
A question about Alta 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