Naestved vs Skive: result 2-2 and analysis
1. DivisionRegular Season - 24Kick-off on June 2, 2012 at 01:00 PM (UTC)Tved Stadion, Næstved
Full time
What was the result of Naestved vs Skive?
Naestved and Skive drew 2-2 on June 2, 2012.
Goalscorers
- 4′M. BeckSkive
- 23′Anders ClausenNaestved
- 53′Karsten JensenSkive (o.g.)
- 79′Karsten JensenNaestved
What is the recent form of both teams?
Over their last 15 matches in all competitions, Naestved have 4 wins, 1 draw and 10 defeats; Skive have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2012 | Viborg(away) | 0-2 | 1. Division |
| May 20, 2012 | Roskilde(home) | 1-0 | 1. Division |
| May 13, 2012 | Jammerbugt(away) | 3-1 | 1. Division |
| May 6, 2012 | AB Copenhagen(home) | 2-1 | 1. Division |
| Apr 28, 2012 | Hobro(away) | 0-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2012 | Roskilde(away) | 1-0 | 1. Division |
| May 23, 2012 | Vejle(home) | 3-2 | 1. Division |
| May 20, 2012 | AB Copenhagen(home) | 1-1 | 1. Division |
| May 13, 2012 | Vendsyssel FF(away) | 1-0 | 1. Division |
| May 6, 2012 | Vestsjælland(home) | 0-0 | 1. Division |
What does the head-to-head say?
In the last meeting: 0 Naestved wins, 0 draws, 1 Skive win.
| Date | Score | Competition |
|---|---|---|
| Oct 23, 2011 | Skive 1-0 Naestved | 1. Division |
How many goals should we expect?
Naestved score 1.1 and concede 1.6 goals per match over their last 15; Skive score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naestved | 1.1 | 1.6 | 2 | 8/15 | 9/15 |
| Skive | 1.3 | 1.3 | 4 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Naestved vs Skive?
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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