B 93 vs Dalum: result 0-2 and analysis
2nd Division - Group 2Regular Season - 6Kick-off on September 12, 2015 at 01:00 PM (UTC)Sundby Idrætspark, København
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What was the result of B 93 vs Dalum?
Dalum won 0-2 on September 12, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B 93 have 8 wins, 1 draw and 6 defeats; Dalum have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2015 | Næsby(home) | 0-1 | 2nd Division - Group 2 |
| Sep 5, 2015 | Frem(away) | 1-0 | 2nd Division - Group 2 |
| Sep 1, 2015 | Holbæk B&I(away) | 2-4 | DBU Pokalen |
| Aug 23, 2015 | Fremad Amager(away) | 0-2 | 2nd Division - Group 2 |
| Aug 15, 2015 | Marienlyst(home) | 5-1 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2015 | Svendborg(home) | 0-4 | 2nd Division - Group 2 |
| Aug 29, 2015 | Frem(home) | 1-3 | 2nd Division - Group 2 |
| Aug 21, 2015 | Næsby(away) | 2-0 | 2nd Division - Group 2 |
| Aug 15, 2015 | Fremad Amager(home) | 2-2 | 2nd Division - Group 2 |
| Aug 8, 2015 | Marienlyst(away) | 1-3 | 2nd Division - Group 2 |
How many goals should we expect?
B 93 score 1.5 and concede 1.1 goals per match over their last 15; Dalum score 2.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B 93 | 1.5 | 1.1 | 4 | 6/15 | 6/15 |
| Dalum | 2.2 | 1.3 | 5 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
B 93 sit 7th in 2nd Division - Group 2 (20 points from 17 matches) and Dalum sit 8th (22 points from 17 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | B 93Group 1 | 17 | 4 | 8 | 5 | 17 | 24 | 20 |
| 8 | DalumGroup 2 | 17 | 6 | 4 | 7 | 29 | 27 | 22 |
A question about B 93 vs Dalum?
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