Greve vs Rishøj: result 2-0 and analysis
Denmark Series - Group 2Regular Season - 23Kick-off on May 28, 2016 at 11:00 AM (UTC)Greve Idræts Center, Greve
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What was the result of Greve vs Rishøj?
Greve won 2-0 on May 28, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Greve have 10 wins, 2 draws and 3 defeats; Rishøj have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Sydvest(away) | 2-3 | Denmark Series - Group 2 |
| May 14, 2016 | Varde IF Elite(home) | 2-0 | Denmark Series - Group 2 |
| May 7, 2016 | Tarup-Paarup(away) | 2-0 | Denmark Series - Group 2 |
| Apr 29, 2016 | Taastrup(away) | 4-2 | Denmark Series - Group 2 |
| Apr 23, 2016 | Tuse(home) | 1-0 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Taastrup(home) | 2-1 | Denmark Series - Group 2 |
| May 14, 2016 | Tuse(away) | 3-0 | Denmark Series - Group 2 |
| May 7, 2016 | B 1909(home) | 1-0 | Denmark Series - Group 2 |
| Apr 29, 2016 | SfB-Oure(away) | 0-3 | Denmark Series - Group 2 |
| Apr 23, 2016 | Sønderborg(home) | 1-1 | Denmark Series - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 1 Greve win(s), 0 draw(s), 0 Rishøj win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 10, 2015 | Rishøj 0-2 Greve | Denmark Series - Group 2 |
How many goals should we expect?
Greve score 2.6 and concede 1.7 goals per match over their last 15; Rishøj score 1.5 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Greve | 2.6 | 1.7 | 6 | 9/15 | 9/15 |
| Rishøj | 1.5 | 1.6 | 3 | 8/15 | 11/15 |
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 | Greve | 18 | 6 | 4 | 8 | 22 | 38 | 22 |
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