Næstved II vs LSF: result 1-3 and analysis
Denmark Series - Group 2Regular Season - 26Kick-off on June 20, 2015 at 01:00 PM (UTC)Tved Stadion, Næstved
Full time
What was the result of Næstved II vs LSF?
LSF won 1-3 on June 20, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Næstved II have 3 wins, 1 draw and 11 defeats; LSF have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 13, 2015 | Otterup(away) | 1-5 | Denmark Series - Group 2 |
| Jun 5, 2015 | FA 2000(home) | 0-2 | Denmark Series - Group 2 |
| May 31, 2015 | Marstal / Rise(away) | 0-1 | Denmark Series - Group 2 |
| May 24, 2015 | Dalum(home) | 1-3 | Denmark Series - Group 2 |
| May 16, 2015 | Ringsted(away) | 0-3 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 13, 2015 | Slagelse B&I(home) | 7-0 | Denmark Series - Group 2 |
| Jun 6, 2015 | Sønderborg(away) | 1-1 | Denmark Series - Group 2 |
| May 30, 2015 | Skanderborg(home) | 3-1 | Denmark Series - Group 2 |
| May 24, 2015 | Kalundborg(away) | 1-1 | Denmark Series - Group 2 |
| May 16, 2015 | Døllefjelde-Musse(home) | 1-1 | Denmark Series - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Næstved II wins, 0 draws, 1 LSF win.
| Date | Score | Competition |
|---|---|---|
| Nov 8, 2014 | LSF 3-2 Næstved II | Denmark Series - Group 2 |
How many goals should we expect?
Næstved II score 1.4 and concede 2.3 goals per match over their last 15; LSF score 3.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Næstved II | 1.4 | 2.3 | 0 | 10/15 | 10/15 |
| LSF | 3.1 | 1.1 | 5 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Næstved II vs LSF?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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