Fremad Valby vs LSF: result 2-4 and analysis
Denmark Series - Group 2Regular Season - 20Kick-off on April 29, 2017 at 11:30 AM (UTC)Valby Idrætspark, København
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What was the result of Fremad Valby vs LSF?
LSF won 2-4 on April 29, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fremad Valby have 4 wins, 4 draws and 7 defeats; LSF have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2017 | Skovshoved(away) | 1-3 | Denmark Series - Group 2 |
| Apr 15, 2017 | Karlslunde(away) | 1-3 | Denmark Series - Group 2 |
| Apr 8, 2017 | Rishøj(home) | 3-3 | Denmark Series - Group 2 |
| Apr 1, 2017 | Avedøre(home) | 1-2 | Denmark Series - Group 2 |
| Mar 25, 2017 | AB Tårnby(away) | 1-4 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2017 | Avedøre(home) | 0-1 | Denmark Series - Group 2 |
| Apr 15, 2017 | AB Tårnby(home) | 3-0 | Denmark Series - Group 2 |
| Apr 8, 2017 | GVI(away) | 1-1 | Denmark Series - Group 2 |
| Apr 1, 2017 | B 1908(home) | 0-0 | Denmark Series - Group 2 |
| Mar 25, 2017 | Herlufsholm(away) | 4-2 | Denmark Series - Group 2 |
What does the head-to-head say?
Across the last 2 meetings: 0 Fremad Valby wins, 0 draws, 2 LSF wins.
| Date | Score | Competition |
|---|---|---|
| Oct 15, 2016 | LSF 7-4 Fremad Valby | Denmark Series - Group 2 |
| Aug 13, 2016 | Fremad Valby 1-4 LSF | Denmark Series - Group 2 |
How many goals should we expect?
Fremad Valby score 1.9 and concede 2.4 goals per match over their last 15; LSF score 2.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fremad Valby | 1.9 | 2.4 | 3 | 11/15 | 12/15 |
| LSF | 2.1 | 1.5 | 4 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Fremad Valby vs LSF?
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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