B 93 vs BSF: result 1-1 and analysis
Denmark Series - Group 1Regular Season - 23Kick-off on June 1, 2013 at 01:00 PM (UTC)Sundby Idrætspark, København
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What was the result of B 93 vs BSF?
B 93 and BSF drew 1-1 on June 1, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B 93 have 12 wins, 2 draws and 1 defeat; BSF have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2013 | Kastrup(away) | 4-1 | Denmark Series - Group 1 |
| May 18, 2013 | Avedøre(home) | 3-0 | Denmark Series - Group 1 |
| May 14, 2013 | Skjold Sæby(away) | 4-0 | Denmark Series - Group 1 |
| May 4, 2013 | Skovshoved(home) | 2-3 | Denmark Series - Group 1 |
| Apr 27, 2013 | FA 2000(away) | 6-1 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2013 | Frederikssund(home) | 5-0 | Denmark Series - Group 1 |
| May 18, 2013 | B 1903(away) | 1-1 | Denmark Series - Group 1 |
| May 11, 2013 | Vanløse(home) | 2-0 | Denmark Series - Group 1 |
| May 4, 2013 | Virum-Sorgenfri(home) | 2-0 | Denmark Series - Group 1 |
| Apr 27, 2013 | Kastrup(away) | 1-0 | Denmark Series - Group 1 |
What does the head-to-head say?
In the last meeting: 1 B 93 win, 0 draws, 0 BSF wins.
| Date | Score | Competition |
|---|---|---|
| Oct 13, 2012 | BSF 1-2 B 93 | Denmark Series - Group 1 |
How many goals should we expect?
B 93 score 2.5 and concede 0.8 goals per match over their last 15; BSF score 2.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B 93 | 2.5 | 0.8 | 5 | 10/15 | 11/15 |
| BSF | 2.1 | 0.9 | 5 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about B 93 vs BSF?
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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