Vasalund vs IF Brommapojkarna: result 1-1 and analysis
Ettan - NorraRegular Season - 13Kick-off on July 9, 2016 at 02:00 PM (UTC)Skytteholms IP, Solna
Full time
What was the result of Vasalund vs IF Brommapojkarna?
Vasalund and IF Brommapojkarna drew 1-1 on July 9, 2016.
Goalscorers
- 54′U. IkeVasalund
- 88′J. QwibergIF Brommapojkarna
What is the recent form of both teams?
Over their last 11 matches in all competitions, Vasalund have 6 wins, 4 draws and 1 defeat; IF Brommapojkarna have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 3, 2016 | Sleipner(away) | 3-2 | Ettan - Norra |
| Jun 19, 2016 | Umea FF(home) | 2-1 | Ettan - Norra |
| Jun 11, 2016 | Vasteras SK FK(away) | 1-1 | Ettan - Norra |
| Jun 4, 2016 | Forward(away) | 0-2 | Ettan - Norra |
| May 29, 2016 | IFK Luleå(home) | 3-0 | Ettan - Norra |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2016 | Carlstad United(home) | 2-2 | Ettan - Norra |
| Jun 26, 2016 | Umea FF(away) | 5-0 | Ettan - Norra |
| Jun 18, 2016 | Nyköping(home) | 1-1 | Ettan - Norra |
| Jun 12, 2016 | Enskede(away) | 1-1 | Ettan - Norra |
| Jun 7, 2016 | Akropolis(home) | 3-0 | Ettan - Norra |
How many goals should we expect?
Vasalund score 1.7 and concede 0.8 goals per match over their last 11; IF Brommapojkarna score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vasalund | 1.7 | 0.8 | 4 | 6/11 | 5/11 |
| IF Brommapojkarna | 1.7 | 1.1 | 5 | 8/15 | 9/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Vasalund | 29 | 8 | 7 | 14 | 41 | 62 | 31 |
A question about Vasalund vs IF Brommapojkarna?
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