Brann vs Valerenga: result 4-1 and analysis
EliteserienRegular Season - 15Kick-off on July 9, 2016 at 04:00 PM (UTC)Brann Stadion, Bergen
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What was the result of Brann vs Valerenga?
Brann won 4-1 on July 9, 2016.
Goalscorers
- 20′Mohammed AbdellaoueValerenga
- 40′K. BarmenBrann
- 52′D. VegaBrann
- 82′S. SkålevikBrann
- 85′Erik André HusekleppBrann
What is the recent form of both teams?
Over their last 14 matches in all competitions, Brann have 7 wins, 2 draws and 5 defeats; Valerenga have 3, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 3, 2016 | Sarpsborg 08 FF(away) | 0-1 | Eliteserien |
| May 29, 2016 | Haugesund(home) | 1-0 | Eliteserien |
| May 21, 2016 | Molde(away) | 0-2 | Eliteserien |
| May 16, 2016 | Stabaek(home) | 1-0 | Eliteserien |
| May 11, 2016 | Lillestrom(away) | 0-1 | Eliteserien |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 3, 2016 | ODD Ballklubb(home) | 0-1 | Eliteserien |
| May 29, 2016 | Aalesund(away) | 2-2 | Eliteserien |
| May 22, 2016 | Stromsgodset(away) | 2-3 | Eliteserien |
| May 16, 2016 | Haugesund(home) | 0-1 | Eliteserien |
| May 11, 2016 | Bodo/Glimt(away) | 0-0 | Eliteserien |
How many goals should we expect?
Brann score 0.8 and concede 0.8 goals per match over their last 14; Valerenga score 1.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brann | 0.8 | 0.8 | 7 | 2/14 | 3/14 |
| Valerenga | 1.0 | 1.4 | 4 | 3/14 | 6/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
Brann sit 6th in Eliteserien (25 points from 17 matches) and Valerenga sit 11th (21 points from 17 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Brann | 17 | 8 | 1 | 8 | 36 | 27 | 25 |
| 11 | Valerenga | 17 | 6 | 3 | 8 | 28 | 34 | 21 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy