Herlufsholm vs Rishøj: result 3-1 and analysis
Denmark Series - Group 2Regular Season - 16Kick-off on April 1, 2017 at 10:00 AM (UTC)Herlufsholm Stadion, Næstved
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What was the result of Herlufsholm vs Rishøj?
Herlufsholm won 3-1 on April 1, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Herlufsholm have 2 wins, 1 draw and 12 defeats; Rishøj have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2017 | LSF(home) | 2-4 | Denmark Series - Group 2 |
| Nov 12, 2016 | Avedøre(home) | 3-2 | Denmark Series - Group 2 |
| Nov 5, 2016 | Skovshoved(away) | 0-3 | Denmark Series - Group 2 |
| Oct 30, 2016 | Karlslunde(home) | 2-0 | Denmark Series - Group 2 |
| Oct 22, 2016 | Fremad Valby(away) | 1-4 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2017 | Avedøre(home) | 1-1 | Denmark Series - Group 2 |
| Nov 5, 2016 | LSF(away) | 0-4 | Denmark Series - Group 2 |
| Oct 29, 2016 | AB Tårnby(home) | 2-3 | Denmark Series - Group 2 |
| Oct 22, 2016 | Skovshoved(away) | 1-4 | Denmark Series - Group 2 |
| Oct 15, 2016 | GVI(home) | 2-0 | Denmark Series - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Herlufsholm wins, 0 draws, 1 Rishøj win.
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2016 | Rishøj 3-0 Herlufsholm | Denmark Series - Group 2 |
Last archived meeting: Rishøj vs Herlufsholm on Sep 17, 2016
How many goals should we expect?
Herlufsholm score 0.9 and concede 2.6 goals per match over their last 15; Rishøj score 1.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Herlufsholm | 0.9 | 2.6 | 1 | 7/15 | 11/15 |
| Rishøj | 1.5 | 1.9 | 4 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Herlufsholm vs Rishøj?
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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