Senja vs Bærum: result 4-1 and analysis
2. Division - Group 1Group 1 - 14Kick-off on July 17, 2021 at 10:00 AM (UTC)Senja Storhall, Silsand
Full time
What was the result of Senja vs Bærum?
Senja won 4-1 on July 17, 2021.
Goalscorers
- 31′?Senja
- 55′?Senja
- 58′?Bærum
- 79′?Senja
- 84′?Senja (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Senja have 0 wins, 5 draws and 10 defeats; Bærum have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 12, 2021 | Vålerenga II(away) | 1-5 | 2. Division - Group 1 |
| Jul 7, 2021 | Tromsdalen Uil(home) | 1-3 | 2. Division - Group 1 |
| Jul 4, 2021 | Asker(away) | 1-4 | 2. Division - Group 1 |
| Jun 30, 2021 | Moss(home) | 0-0 | 2. Division - Group 1 |
| Jun 26, 2021 | Alta(home) | 0-1 | 2. Division - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 11, 2021 | Moss(away) | 2-2 | 2. Division - Group 1 |
| Jul 7, 2021 | hodd(home) | 0-1 | 2. Division - Group 1 |
| Jul 3, 2021 | Eidsvold(home) | 3-0 | 2. Division - Group 1 |
| Jun 30, 2021 | Alta(away) | 1-2 | 2. Division - Group 1 |
| Jun 26, 2021 | Kongsvinger(home) | 0-2 | 2. Division - Group 1 |
What does the head-to-head say?
Across the last 2 meetings: 1 Senja win, 1 draw, 0 Bærum wins.
| Date | Score | Competition |
|---|---|---|
| Oct 19, 2019 | Bærum 1-3 Senja | 2. Division - Group 2 |
| Jun 8, 2019 | Senja 1-1 Bærum | 2. Division - Group 2 |
How many goals should we expect?
Senja score 0.7 and concede 2.6 goals per match over their last 15; Bærum score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Senja | 0.7 | 2.6 | 1 | 9/15 | 9/15 |
| Bærum | 1.1 | 1.5 | 2 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Senja 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