GVI vs KFUM: result 2-0 and analysis
Denmark Series - Group 2Group 2 - 9Kick-off on October 2, 2021 at 10:00 AM (UTC)GVI. Nymosen, Gentofte
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What was the result of GVI vs KFUM?
GVI won 2-0 on October 2, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, GVI have 4 wins, 5 draws and 6 defeats; KFUM have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2021 | Køge Nord(away) | 1-1 | Denmark Series - Group 2 |
| Sep 18, 2021 | Ringsted(home) | 2-3 | Denmark Series - Group 2 |
| Sep 10, 2021 | Tårnby FF(away) | 0-1 | Denmark Series - Group 2 |
| Sep 4, 2021 | B 1908(home) | 2-1 | Denmark Series - Group 2 |
| Aug 30, 2021 | Skovshoved(away) | 0-2 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2021 | Holbæk B&I(home) | 3-2 | Denmark Series - Group 2 |
| Sep 18, 2021 | AB Tårnby(away) | 2-2 | Denmark Series - Group 2 |
| Sep 11, 2021 | Køge Nord(away) | 4-0 | Denmark Series - Group 2 |
| Sep 4, 2021 | Ringsted(home) | 2-1 | Denmark Series - Group 2 |
| Aug 27, 2021 | Tårnby FF(away) | 1-3 | Denmark Series - Group 2 |
What does the head-to-head say?
In the last meeting: 0 GVI wins, 1 draw, 0 KFUM wins.
| Date | Score | Competition |
|---|---|---|
| Sep 14, 2019 | GVI 0-0 KFUM | Denmark Series - Group 2 |
How many goals should we expect?
GVI score 1.1 and concede 1.5 goals per match over their last 15; KFUM score 2.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| GVI | 1.1 | 1.5 | 3 | 8/15 | 8/15 |
| KFUM | 2.0 | 1.1 | 5 | 9/15 | 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 | GVI | 18 | 7 | 3 | 8 | 33 | 40 | 24 |
A question about GVI 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