Dalum vs Avarta: result 1-2 and analysis
2nd Division - Group 2Regular Season - 9Kick-off on September 30, 2017 at 12:00 PM (UTC)Rema 1000 Park - Dalum, Odense
Full time
What was the result of Dalum vs Avarta?
Avarta won 1-2 on September 30, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dalum have 6 wins, 3 draws and 6 defeats; Avarta 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 |
|---|---|---|---|
| Sep 23, 2017 | Middelfart(home) | 0-2 | 2nd Division - Group 2 |
| Sep 16, 2017 | HIK(away) | 0-2 | 2nd Division - Group 2 |
| Sep 8, 2017 | Marienlyst(away) | 2-0 | 2nd Division - Group 2 |
| Sep 2, 2017 | Næsby(home) | 3-2 | 2nd Division - Group 2 |
| Aug 29, 2017 | Odense(home) | 0-1 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2017 | HIK(home) | 0-2 | 2nd Division - Group 2 |
| Sep 17, 2017 | Marienlyst(home) | 1-2 | 2nd Division - Group 2 |
| Sep 9, 2017 | Kolding IF(away) | 3-3 | 2nd Division - Group 2 |
| Sep 3, 2017 | Greve(home) | 2-1 | 2nd Division - Group 2 |
| Aug 25, 2017 | Næsby(away) | 5-2 | 2nd Division - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Dalum wins, 0 draws, 1 Avarta win.
| Date | Score | Competition |
|---|---|---|
| Aug 13, 2017 | Avarta 2-1 Dalum | 2nd Division - Group 2 |
How many goals should we expect?
Dalum score 1.6 and concede 1.4 goals per match over their last 15; Avarta score 1.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dalum | 1.6 | 1.4 | 3 | 9/15 | 8/15 |
| Avarta | 1.8 | 1.5 | 3 | 10/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 12 | Avarta | 26 | 6 | 6 | 14 | 25 | 43 | 24 |
A question about Dalum vs Avarta?
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