Allerød vs Skjold Sæby: result 0-2 and analysis
Denmark Series - Group 1Regular Season - 14Kick-off on March 28, 2016 at 02:00 PM (UTC)Allerød Idrætspark, Allerød
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What was the result of Allerød vs Skjold Sæby?
Skjold Sæby won 0-2 on March 28, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Allerød have 2 wins, 2 draws and 11 defeats; Skjold Sæby have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2015 | FA 2000(home) | 1-0 | Denmark Series - Group 1 |
| Oct 24, 2015 | LSF(away) | 0-3 | Denmark Series - Group 1 |
| Oct 18, 2015 | Søllerød-Vedbæk(home) | 0-1 | Denmark Series - Group 1 |
| Oct 10, 2015 | Hillerød(away) | 1-2 | Denmark Series - Group 1 |
| Oct 3, 2015 | Jægersborg(home) | 0-1 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2015 | Jægersborg(home) | 0-3 | Denmark Series - Group 1 |
| Oct 31, 2015 | Avedøre(away) | 1-3 | Denmark Series - Group 1 |
| Oct 24, 2015 | Fredensborg BI(home) | 0-1 | Denmark Series - Group 1 |
| Oct 17, 2015 | Kastrup(away) | 2-3 | Denmark Series - Group 1 |
| Oct 10, 2015 | GVI(away) | 1-1 | Denmark Series - Group 1 |
What does the head-to-head say?
Across the last 1 meetings: 0 Allerød win(s), 1 draw(s), 0 Skjold Sæby win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 8, 2015 | Skjold Sæby 1-1 Allerød | Denmark Series - Group 1 |
Last archived meeting: Skjold Sæby vs Allerød on Aug 8, 2015
How many goals should we expect?
Allerød score 0.7 and concede 1.5 goals per match over their last 15; Skjold Sæby score 0.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Allerød | 0.7 | 1.5 | 3 | 6/15 | 8/15 |
| Skjold Sæby | 0.9 | 2.1 | 2 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy