LSF vs Stenløse: result 4-1 and analysis
Denmark Series - Group 1Regular Season - 9Kick-off on September 30, 2017 at 12:00 PM (UTC)Ledøje Idrætscenter, Smørum
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What was the result of LSF vs Stenløse?
LSF won 4-1 on September 30, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, LSF have 7 wins, 3 draws and 5 defeats; Stenløse have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2017 | Taastrup(away) | 4-2 | Denmark Series - Group 1 |
| Sep 20, 2017 | Brondby(home) | 1-5 | DBU Pokalen |
| Sep 16, 2017 | Karlslunde(home) | 2-0 | Denmark Series - Group 1 |
| Sep 9, 2017 | Holbæk B&I(home) | 2-3 | Denmark Series - Group 1 |
| Sep 1, 2017 | Herlev(away) | 1-2 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2017 | Herlev(home) | 2-1 | Denmark Series - Group 1 |
| Sep 16, 2017 | Fredensborg BI(away) | 2-2 | Denmark Series - Group 1 |
| Sep 9, 2017 | Kastrup(home) | 3-2 | Denmark Series - Group 1 |
| Sep 2, 2017 | FA 2000(away) | 2-1 | Denmark Series - Group 1 |
| Aug 26, 2017 | Slagelse B&I(home) | 0-2 | Denmark Series - Group 1 |
How many goals should we expect?
LSF score 2.1 and concede 2.1 goals per match over their last 15; Stenløse score 1.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| LSF | 2.1 | 2.1 | 4 | 10/15 | 11/15 |
| Stenløse | 1.8 | 1.3 | 5 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | LSF | 18 | 7 | 1 | 10 | 32 | 32 | 22 |
A question about LSF vs Stenløse?
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