Dalum vs Frem: result 1-3 and analysis
2nd Division - Group 2Regular Season - 4Kick-off on August 29, 2015 at 12:00 PM (UTC)Rema 1000 Park - Dalum, Odense
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What was the result of Dalum vs Frem?
Frem won 1-3 on August 29, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dalum have 12 wins, 2 draws and 1 defeat; Frem have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Jun 20, 2015 | Marstal / Rise(home) | 4-2 | Denmark Series - Group 2 |
| Jun 13, 2015 | B 1909(away) | 3-1 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2015 | Svendborg(home) | 4-0 | 2nd Division - Group 2 |
| Aug 15, 2015 | Næsby(home) | 2-2 | 2nd Division - Group 2 |
| Aug 11, 2015 | LSF(away) | 2-2 | DBU Pokalen |
| Aug 9, 2015 | Fremad Amager(away) | 2-1 | 2nd Division - Group 2 |
| Aug 13, 2014 | HIK(away) | 1-2 | DBU Pokalen |
How many goals should we expect?
Dalum score 2.4 and concede 1.0 goals per match over their last 15; Frem score 2.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dalum | 2.4 | 1.0 | 5 | 10/15 | 10/15 |
| Frem | 2.1 | 1.1 | 4 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Dalum sit 8th in 2nd Division - Group 2 (22 points from 17 matches) and Frem sit 5th (25 points from 17 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | FremGroup 1 | 17 | 6 | 7 | 4 | 26 | 22 | 25 |
| 8 | DalumGroup 2 | 17 | 6 | 4 | 7 | 29 | 27 | 22 |
A question about Dalum vs Frem?
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