Rishøj vs KFUM Roskilde: result 3-1 and analysis
Denmark Series - Group 2Regular Season - 14Kick-off on March 28, 2016 at 02:00 PM (UTC)Rishøj Stadion, Køge
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What was the result of Rishøj vs KFUM Roskilde?
Rishøj won 3-1 on March 28, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rishøj have 6 wins, 1 draw and 8 defeats; KFUM Roskilde have 10, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2015 | Tarup-Paarup(away) | 0-5 | Denmark Series - Group 2 |
| Oct 27, 2015 | Aarhus(home) | 0-3 | DBU Pokalen |
| Oct 24, 2015 | Sydvest(home) | 2-2 | Denmark Series - Group 2 |
| Oct 17, 2015 | Varde IF Elite(away) | 4-1 | Denmark Series - Group 2 |
| Oct 10, 2015 | Greve(home) | 0-2 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2015 | Sydvest(away) | 0-3 | Denmark Series - Group 2 |
| Oct 24, 2015 | Varde IF Elite(home) | 1-2 | Denmark Series - Group 2 |
| Oct 17, 2015 | Greve(away) | 3-5 | Denmark Series - Group 2 |
| Oct 10, 2015 | Taastrup(home) | 3-0 | Denmark Series - Group 2 |
| Oct 3, 2015 | Tuse(away) | 2-1 | Denmark Series - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Rishøj wins, 0 draws, 1 KFUM Roskilde win.
| Date | Score | Competition |
|---|---|---|
| Aug 7, 2015 | KFUM Roskilde 2-1 Rishøj | Denmark Series - Group 2 |
Last archived meeting: KFUM Roskilde vs Rishøj on Aug 7, 2015
How many goals should we expect?
Rishøj score 1.4 and concede 2.1 goals per match over their last 15; KFUM Roskilde score 2.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rishøj | 1.4 | 2.1 | 1 | 8/15 | 11/15 |
| KFUM Roskilde | 2.5 | 1.7 | 4 | 10/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Rishøj vs KFUM Roskilde?
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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