Varde IF Elite vs Marienlyst: result 2-1 and analysis
Denmark Series - Group 3Group 3 - 3Kick-off on August 17, 2019 at 01:00 PM (UTC)Sydbank Stadion, Varde
Full time
What was the result of Varde IF Elite vs Marienlyst?
Varde IF Elite won 2-1 on August 17, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Varde IF Elite have 7 wins, 0 draws and 8 defeats; Marienlyst have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 9, 2019 | Tarup-Paarup(home) | 3-1 | Denmark Series - Group 3 |
| Aug 7, 2019 | Krarup / Espe(away) | 3-2 | DBU Pokalen |
| Aug 3, 2019 | SfB-Oure(away) | 0-4 | Denmark Series - Group 3 |
| Jun 15, 2019 | Næsby(away) | 2-8 | Denmark Series - Group 3 |
| Jun 8, 2019 | Otterup(home) | 3-2 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 9, 2019 | SfB-Oure(home) | 0-1 | Denmark Series - Group 3 |
| Aug 6, 2019 | Hedensted(home) | 3-1 | DBU Pokalen |
| Aug 2, 2019 | Hedensted(away) | 0-0 | Denmark Series - Group 3 |
| Apr 13, 2019 | Hillerød(away) | 1-0 | 2nd Division - Group 2 |
| Apr 6, 2019 | HIK(home) | 1-5 | 2nd Division - Group 2 |
How many goals should we expect?
Varde IF Elite score 1.9 and concede 2.5 goals per match over their last 15; Marienlyst score 0.8 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Varde IF Elite | 1.9 | 2.5 | 2 | 11/15 | 14/15 |
| Marienlyst | 0.8 | 2.1 | 3 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Marienlyst | 19 | 16 | 2 | 1 | 47 | 16 | 50 |
A question about Varde IF Elite vs Marienlyst?
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