Nakskov vs GVI: result 1-5 and analysis
Denmark Series - Group 2Regular Season - 9Kick-off on October 6, 2012 at 01:30 PM (UTC)Nakskov Stadion
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What was the result of Nakskov vs GVI?
GVI won 1-5 on October 6, 2012.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Nakskov have 0 wins, 1 draw and 8 defeats; GVI have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2012 | Næsby II(away) | 0-5 | Denmark Series - Group 2 |
| Sep 22, 2012 | SC Egedal(home) | 0-2 | Denmark Series - Group 2 |
| Sep 16, 2012 | Marstal / Rise(away) | 1-3 | Denmark Series - Group 2 |
| Sep 8, 2012 | Døllefjelde-Musse(home) | 4-5 | Denmark Series - Group 2 |
| Sep 1, 2012 | Aarup(away) | 1-4 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2012 | Frem Sakskøbing(home) | 2-0 | Denmark Series - Group 2 |
| Sep 22, 2012 | OKS(away) | 2-1 | Denmark Series - Group 2 |
| Sep 15, 2012 | Hedensted(away) | 1-1 | Denmark Series - Group 2 |
| Sep 8, 2012 | Næsby II(home) | 0-1 | Denmark Series - Group 2 |
| Aug 31, 2012 | SC Egedal(away) | 3-2 | Denmark Series - Group 2 |
How many goals should we expect?
Nakskov score 1.2 and concede 4.4 goals per match over their last 9; GVI score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nakskov | 1.2 | 4.4 | 0 | 6/9 | 8/9 |
| GVI | 1.9 | 1.1 | 4 | 9/15 | 8/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | GVI | 18 | 7 | 3 | 8 | 33 | 40 | 24 |
A question about Nakskov vs GVI?
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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