AB Copenhagen vs B 93: result 1-1 and analysis
2. DivisionRegular Season - 9Kick-off on September 30, 2017 at 01:00 PM (UTC)Gladsaxe Stadion, Søborg
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What was the result of AB Copenhagen vs B 93?
AB Copenhagen and B 93 drew 1-1 on September 30, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, AB Copenhagen have 4 wins, 5 draws and 6 defeats; B 93 have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2017 | Frem(away) | 3-4 | 2. Division |
| Sep 16, 2017 | Naestved(home) | 1-1 | 2. Division |
| Sep 9, 2017 | Skovshoved(away) | 2-4 | 2. Division |
| Sep 2, 2017 | Brønshøj(away) | 1-0 | 2. Division |
| Aug 29, 2017 | Slagelse B&I(away) | 1-2 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2017 | Hillerød(away) | 1-3 | 2. Division |
| Sep 16, 2017 | Skovshoved(home) | 3-3 | 2. Division |
| Sep 9, 2017 | Frem(away) | 3-3 | 2. Division |
| Sep 2, 2017 | Naestved(home) | 1-5 | 2. Division |
| Aug 29, 2017 | LSF(away) | 0-1 | DBU Pokalen |
What does the head-to-head say?
Across the last 1 meetings: 0 AB Copenhagen win(s), 0 draw(s), 1 B 93 win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 12, 2017 | B 93 2-1 AB Copenhagen | 2. Division |
Last archived meeting: B 93 vs AB Copenhagen on Aug 12, 2017
How many goals should we expect?
AB Copenhagen score 1.6 and concede 1.6 goals per match over their last 15; B 93 score 1.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AB Copenhagen | 1.6 | 1.6 | 2 | 11/15 | 9/15 |
| B 93 | 1.9 | 2.1 | 3 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | B 93 | 4 | 2 | 0 | 2 | 7 | 7 | 6 |
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