Hillerød vs Kastrup: result 1-5 and analysis
Denmark Series - Group 1Regular Season - 20Kick-off on May 7, 2016 at 11:00 AM (UTC)Right to Dream Park, Farum
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What was the result of Hillerød vs Kastrup?
Kastrup won 1-5 on May 7, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hillerød have 8 wins, 2 draws and 5 defeats; Kastrup have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2016 | Skjold Sæby(away) | 2-1 | Denmark Series - Group 1 |
| Apr 23, 2016 | FA 2000(home) | 3-1 | Denmark Series - Group 1 |
| Apr 16, 2016 | LSF(away) | 0-0 | Denmark Series - Group 1 |
| Apr 9, 2016 | Søllerød-Vedbæk(home) | 1-2 | Denmark Series - Group 1 |
| Apr 2, 2016 | GVI(home) | 1-1 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2016 | Jægersborg(home) | 0-4 | Denmark Series - Group 1 |
| Apr 23, 2016 | Virum-Sorgenfri(away) | 2-1 | Denmark Series - Group 1 |
| Apr 16, 2016 | Vanløse(home) | 6-1 | Denmark Series - Group 1 |
| Apr 9, 2016 | Herlev(away) | 0-3 | Denmark Series - Group 1 |
| Apr 2, 2016 | Allerød(home) | 1-1 | Denmark Series - Group 1 |
What does the head-to-head say?
In the last meeting: 0 Hillerød wins, 0 draws, 1 Kastrup win.
| Date | Score | Competition |
|---|---|---|
| Sep 19, 2015 | Kastrup 1-0 Hillerød | Denmark Series - Group 1 |
How many goals should we expect?
Hillerød score 1.9 and concede 1.5 goals per match over their last 15; Kastrup score 2.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hillerød | 1.9 | 1.5 | 4 | 9/15 | 10/15 |
| Kastrup | 2.3 | 1.7 | 1 | 12/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Hillerød vs Kastrup?
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