GVI vs Nakskov: result 4-1 and analysis
Denmark Series - Group 2Regular Season - 22Kick-off on May 25, 2013 at 11:00 AM (UTC)GVI. Nymosen, Gentofte
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What was the result of GVI vs Nakskov?
GVI won 4-1 on May 25, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, GVI have 10 wins, 4 draws and 1 defeat; Nakskov have 0, 3 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2013 | Aarup(away) | 2-1 | Denmark Series - Group 2 |
| May 18, 2013 | Frem Sakskøbing(away) | 0-6 | Denmark Series - Group 2 |
| May 11, 2013 | OKS(home) | 2-1 | Denmark Series - Group 2 |
| May 4, 2013 | Hedensted(home) | 2-0 | Denmark Series - Group 2 |
| Apr 28, 2013 | Næsby II(away) | 3-1 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2013 | Næsby II(home) | 2-5 | Denmark Series - Group 2 |
| May 11, 2013 | SC Egedal(away) | 1-2 | Denmark Series - Group 2 |
| May 4, 2013 | Marstal / Rise(home) | 0-3 | Denmark Series - Group 2 |
| May 1, 2013 | Døllefjelde-Musse(away) | 2-2 | Denmark Series - Group 2 |
| Apr 20, 2013 | Aarup(home) | 1-2 | Denmark Series - Group 2 |
What does the head-to-head say?
In the last meeting: 1 GVI win, 0 draws, 0 Nakskov wins.
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2012 | Nakskov 1-5 GVI | Denmark Series - Group 2 |
How many goals should we expect?
GVI score 2.5 and concede 1.3 goals per match over their last 15; Nakskov score 0.9 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| GVI | 2.5 | 1.3 | 3 | 11/15 | 11/15 |
| Nakskov | 0.9 | 2.9 | 0 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | GVI | 18 | 7 | 3 | 8 | 33 | 40 | 24 |
A question about GVI vs Nakskov?
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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