Slagelse B&I vs GVI: result 2-2 and analysis
Denmark Series - Group 2Regular Season - 13Kick-off on November 3, 2012 at 11:00 AM (UTC)Harboe Arena Slagelse, Slagelse
Full time
What was the result of Slagelse B&I vs GVI?
Slagelse B&I and GVI drew 2-2 on November 3, 2012.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Slagelse B&I have 4 wins, 1 draw and 7 defeats; GVI 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 |
|---|---|---|---|
| Oct 28, 2012 | Næsby II(away) | 3-2 | Denmark Series - Group 2 |
| Oct 20, 2012 | SC Egedal(home) | 0-4 | Denmark Series - Group 2 |
| Oct 14, 2012 | Marstal / Rise(away) | 1-3 | Denmark Series - Group 2 |
| Oct 6, 2012 | Døllefjelde-Musse(home) | 3-0 | Denmark Series - Group 2 |
| Sep 29, 2012 | Aarup(away) | 1-3 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2012 | Ringsted(home) | 2-2 | Denmark Series - Group 2 |
| Oct 20, 2012 | Greve(away) | 3-1 | Denmark Series - Group 2 |
| Oct 13, 2012 | Næstved II(home) | 2-0 | Denmark Series - Group 2 |
| Oct 6, 2012 | Nakskov(away) | 5-1 | Denmark Series - Group 2 |
| Sep 29, 2012 | Frem Sakskøbing(home) | 2-0 | Denmark Series - Group 2 |
How many goals should we expect?
Slagelse B&I score 1.5 and concede 2.4 goals per match over their last 12; GVI score 2.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Slagelse B&I | 1.5 | 2.4 | 2 | 8/12 | 11/12 |
| GVI | 2.5 | 0.9 | 4 | 10/15 | 9/15 |
Over the last 12 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 Slagelse B&I 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