Silkeborg II vs Djursland: result 1-2 and analysis
Denmark Series - Group 3Regular Season - 24Kick-off on June 8, 2013 at 02:00 PM (UTC)Søholt Idrætsanlæg kunstgræs
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What was the result of Silkeborg II vs Djursland?
Djursland won 1-2 on June 8, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Silkeborg II have 1 win, 3 draws and 11 defeats; Djursland 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 |
|---|---|---|---|
| Jun 5, 2013 | Løgstør(home) | 2-3 | Denmark Series - Group 3 |
| Jun 1, 2013 | Lyseng(away) | 1-4 | Denmark Series - Group 3 |
| May 28, 2013 | Viby(home) | 3-3 | Denmark Series - Group 3 |
| May 24, 2013 | Hobro II(home) | 0-2 | Denmark Series - Group 3 |
| May 19, 2013 | Holstebro(away) | 1-3 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2013 | Holstebro(away) | 1-1 | Denmark Series - Group 3 |
| Jun 1, 2013 | AaB II(home) | 1-2 | Denmark Series - Group 3 |
| May 25, 2013 | Kolding IF(away) | 2-0 | Denmark Series - Group 3 |
| May 18, 2013 | Lindholm(home) | 3-1 | Denmark Series - Group 3 |
| May 11, 2013 | Viby(away) | 2-2 | Denmark Series - Group 3 |
What does the head-to-head say?
In the last meeting: 0 Silkeborg II wins, 0 draws, 1 Djursland win.
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2012 | Djursland 3-0 Silkeborg II | Denmark Series - Group 3 |
Last archived meeting: Djursland vs Silkeborg II on Oct 20, 2012
How many goals should we expect?
Silkeborg II score 1.0 and concede 2.2 goals per match over their last 15; Djursland score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silkeborg II | 1.0 | 2.2 | 2 | 8/15 | 9/15 |
| Djursland | 1.5 | 1.0 | 5 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Silkeborg II vs Djursland?
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