Jammerbugt vs Naestved: result 1-3 and analysis
1. DivisionRegular Season - 21Kick-off on May 13, 2012 at 01:00 PM (UTC)Sparekassen Danmark Arena, Pandrup
Full time
What was the result of Jammerbugt vs Naestved?
Naestved won 1-3 on May 13, 2012.
Goalscorers
- 14′Anders NielsenNaestved
- 17′Mustafa Ahmed HassanNaestved
- 58′P. TranbergJammerbugt
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jammerbugt have 1 win, 4 draws and 10 defeats; Naestved have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2012 | Hobro(away) | 1-3 | 1. Division |
| Apr 29, 2012 | Brønshøj(home) | 0-2 | 1. Division |
| Apr 22, 2012 | Randers FC(away) | 0-4 | 1. Division |
| Apr 15, 2012 | Vejle(home) | 1-2 | 1. Division |
| Apr 9, 2012 | Skive(away) | 1-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2012 | AB Copenhagen(home) | 2-1 | 1. Division |
| Apr 28, 2012 | Hobro(away) | 0-1 | 1. Division |
| Apr 22, 2012 | Vendsyssel FF(home) | 2-0 | 1. Division |
| Apr 14, 2012 | Brønshøj(away) | 1-2 | 1. Division |
| Apr 9, 2012 | Vestsjælland(home) | 1-2 | 1. Division |
What does the head-to-head say?
In the last meeting: 0 Jammerbugt wins, 1 draw, 0 Naestved wins.
| Date | Score | Competition |
|---|---|---|
| Oct 2, 2011 | Naestved 1-1 Jammerbugt | 1. Division |
Last archived meeting: Naestved vs Jammerbugt on Oct 2, 2011
How many goals should we expect?
Jammerbugt score 1.3 and concede 2.3 goals per match over their last 15; Naestved score 1.0 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jammerbugt | 1.3 | 2.3 | 0 | 13/15 | 11/15 |
| Naestved | 1.0 | 1.8 | 1 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Jammerbugt vs Naestved?
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