KFUM vs LSF: result 1-0 and analysis
Denmark Series - Group 2Group 2 - 19Kick-off on April 21, 2022 at 05:00 PM (UTC)Estadio 14 de Junio, Vínces
Full time
What was the result of KFUM vs LSF?
KFUM won 1-0 on April 21, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KFUM have 7 wins, 4 draws and 4 defeats; LSF have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 16, 2022 | GVI(home) | 2-1 | Denmark Series - Group 2 |
| Apr 9, 2022 | Holbæk B&I(away) | 0-3 | Denmark Series - Group 2 |
| Apr 2, 2022 | AB Tårnby(home) | 1-1 | Denmark Series - Group 2 |
| Mar 26, 2022 | Køge Nord(away) | 3-1 | Denmark Series - Group 2 |
| Nov 6, 2021 | Ringsted(away) | 0-4 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 16, 2022 | Køge Nord(away) | 1-3 | Denmark Series - Group 2 |
| Apr 9, 2022 | Ringsted(home) | 4-1 | Denmark Series - Group 2 |
| Apr 2, 2022 | Tårnby FF(away) | 0-1 | Denmark Series - Group 2 |
| Mar 26, 2022 | B 1908(home) | 0-3 | Denmark Series - Group 2 |
| Nov 6, 2021 | Skovshoved(away) | 1-1 | Denmark Series - Group 2 |
What does the head-to-head say?
Across the last 2 meetings: 2 KFUM wins, 0 draws, 0 LSF wins.
| Date | Score | Competition |
|---|---|---|
| Oct 9, 2021 | LSF 0-1 KFUM | Denmark Series - Group 2 |
| Aug 7, 2021 | KFUM 2-1 LSF | Denmark Series - Group 2 |
How many goals should we expect?
KFUM score 1.7 and concede 1.7 goals per match over their last 15; LSF score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KFUM | 1.7 | 1.7 | 3 | 9/15 | 11/15 |
| LSF | 1.0 | 1.3 | 5 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about KFUM vs LSF?
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