B 93 vs Brønshøj: result 4-1 and analysis
2. DivisionRegular Season - 1Kick-off on August 6, 2016 at 01:00 PM (UTC)Sundby Idrætspark, København
Full time
What was the result of B 93 vs Brønshøj?
B 93 won 4-1 on August 6, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B 93 have 5 wins, 2 draws and 8 defeats; Brønshøj have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2015 | Dalum(away) | 3-3 | 2nd Division - Group 2 |
| Oct 31, 2015 | Frem(home) | 2-3 | 2nd Division - Group 2 |
| Oct 24, 2015 | Næsby(away) | 0-0 | 2nd Division - Group 2 |
| Oct 17, 2015 | Fremad Amager(home) | 0-1 | 2nd Division - Group 2 |
| Oct 10, 2015 | Marienlyst(away) | 1-3 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2015 | Hvidovre(home) | 0-0 | 2. Division |
| Oct 31, 2015 | AB Copenhagen(away) | 1-0 | 2. Division |
| Oct 24, 2015 | HIK(home) | 0-1 | 2. Division |
| Oct 17, 2015 | B 1908(away) | 1-1 | 2. Division |
| Oct 11, 2015 | Avarta(away) | 1-0 | 2. Division |
How many goals should we expect?
B 93 score 1.6 and concede 1.5 goals per match over their last 15; Brønshøj score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B 93 | 1.6 | 1.5 | 3 | 7/15 | 8/15 |
| Brønshøj | 1.3 | 1.1 | 7 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | B 93 | 11 | 5 | 3 | 3 | 19 | 14 | 18 |
A question about B 93 vs Brønshøj?
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