B 93 vs Brønshøj: result 0-4 and analysis
2nd Division - Group 2Regular Season - 1Kick-off on August 4, 2018 at 01:00 PM (UTC)Sundby Idrætspark, København
Full time
What was the result of B 93 vs Brønshøj?
Brønshøj won 0-4 on August 4, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B 93 have 6 wins, 3 draws and 6 defeats; Brønshøj have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2017 | Hvidovre(home) | 4-1 | 2. Division |
| Oct 28, 2017 | Skovshoved(away) | 1-0 | 2. Division |
| Oct 21, 2017 | Frem(home) | 2-5 | 2. Division |
| Oct 15, 2017 | Naestved(away) | 0-2 | 2. Division |
| Oct 7, 2017 | Brønshøj(home) | 1-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2017 | Frem(away) | 3-3 | 2. Division |
| Oct 28, 2017 | Hillerød(home) | 2-1 | 2. Division |
| Oct 20, 2017 | AB Copenhagen(away) | 0-3 | 2. Division |
| Oct 14, 2017 | Hvidovre(home) | 1-5 | 2. Division |
| Oct 7, 2017 | B 93(away) | 0-1 | 2. Division |
What does the head-to-head say?
Across the last 4 meetings: 2 B 93 win(s), 0 draw(s), 2 Brønshøj win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 7, 2017 | B 93 1-0 Brønshøj | 2. Division |
| Aug 5, 2017 | Brønshøj 3-1 B 93 | 2. Division |
| Oct 22, 2016 | Brønshøj 2-1 B 93 | 2. Division |
| Aug 6, 2016 | B 93 4-1 Brønshøj | 2. Division |
How many goals should we expect?
B 93 score 2.1 and concede 2.0 goals per match over their last 15; Brønshøj score 0.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B 93 | 2.1 | 2.0 | 3 | 10/15 | 10/15 |
| Brønshøj | 0.9 | 2.1 | 1 | 6/15 | 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 | Brønshøj | 26 | 6 | 5 | 15 | 34 | 50 | 23 |
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