Rishøj vs GVI: result 2-0 and analysis
Denmark Series - Group 2Regular Season - 11Kick-off on October 15, 2016 at 01:00 PM (UTC)Rishøj Stadion, Køge
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What was the result of Rishøj vs GVI?
Rishøj won 2-0 on October 15, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rishøj have 7 wins, 1 draws and 7 defeats; GVI have 6, 7 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2016 | Karlslunde(away) | 0-0 | Denmark Series - Group 2 |
| Oct 1, 2016 | B 1908(home) | 4-0 | Denmark Series - Group 2 |
| Sep 24, 2016 | Fremad Valby(home) | 0-2 | Denmark Series - Group 2 |
| Sep 17, 2016 | Herlufsholm(home) | 3-0 | Denmark Series - Group 2 |
| Sep 10, 2016 | Avedøre(away) | 2-1 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2016 | B 1908(away) | 2-0 | Denmark Series - Group 2 |
| Oct 1, 2016 | Herlufsholm(home) | 3-1 | Denmark Series - Group 2 |
| Sep 24, 2016 | LSF(away) | 1-1 | Denmark Series - Group 2 |
| Sep 17, 2016 | Skovshoved(home) | 2-0 | Denmark Series - Group 2 |
| Sep 10, 2016 | Karlslunde(away) | 0-0 | Denmark Series - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Rishøj win(s), 0 draw(s), 1 GVI win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 13, 2016 | GVI 1-0 Rishøj | Denmark Series - Group 2 |
How many goals should we expect?
Rishøj score 1.7 and concede 1.5 goals per match over their last 15; GVI score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rishøj | 1.7 | 1.5 | 5 | 7/15 | 11/15 |
| GVI | 1.4 | 1.1 | 7 | 7/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | GVI | 18 | 7 | 3 | 8 | 33 | 40 | 24 |
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