Greve vs KFUM: result 1-2 and analysis
Denmark Series - Group 2Group 2 - 13Kick-off on October 26, 2019 at 11:00 AM (UTC)Greve Idræts Center, Greve
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What was the result of Greve vs KFUM?
KFUM won 1-2 on October 26, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Greve have 4 wins, 2 draws and 9 defeats; KFUM have 4, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Ishøj(away) | 1-2 | Denmark Series - Group 2 |
| Oct 12, 2019 | B 1908(home) | 1-2 | Denmark Series - Group 2 |
| Oct 5, 2019 | GVI(away) | 0-1 | Denmark Series - Group 2 |
| Sep 28, 2019 | Avedøre(away) | 1-2 | Denmark Series - Group 2 |
| Sep 21, 2019 | Karlslunde(home) | 2-1 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Frederikssund(home) | 3-1 | Denmark Series - Group 2 |
| Oct 12, 2019 | AB Tårnby(away) | 0-2 | Denmark Series - Group 2 |
| Oct 5, 2019 | BK Union(home) | 4-0 | Denmark Series - Group 2 |
| Sep 28, 2019 | Ishøj(away) | 0-5 | Denmark Series - Group 2 |
| Sep 21, 2019 | B 1908(home) | 0-2 | Denmark Series - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Greve wins, 1 draw, 0 KFUM wins.
| Date | Score | Competition |
|---|---|---|
| Aug 24, 2019 | KFUM 0-0 Greve | Denmark Series - Group 2 |
How many goals should we expect?
Greve score 1.3 and concede 2.1 goals per match over their last 15; KFUM score 1.2 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Greve | 1.3 | 2.1 | 1 | 10/15 | 11/15 |
| KFUM | 1.2 | 1.8 | 4 | 6/13 | 8/13 |
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 |
A question about Greve vs KFUM?
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