FA 2000 vs Skanderborg: result 3-1 and analysis
Denmark Series - Group 2Regular Season - 21Kick-off on May 16, 2015 at 12:00 PM (UTC)Frederiksberg IP, Frederiksberg
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What was the result of FA 2000 vs Skanderborg?
FA 2000 won 3-1 on May 16, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, FA 2000 have 8 wins, 3 draws and 4 defeats; Skanderborg have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2015 | Kalundborg(away) | 0-3 | Denmark Series - Group 2 |
| May 2, 2015 | Døllefjelde-Musse(home) | 2-0 | Denmark Series - Group 2 |
| Apr 25, 2015 | LSF(away) | 0-2 | Denmark Series - Group 2 |
| Apr 18, 2015 | Otterup(home) | 3-1 | Denmark Series - Group 2 |
| Apr 11, 2015 | B 1909(away) | 0-2 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2015 | Marstal / Rise(home) | 3-1 | Denmark Series - Group 2 |
| May 2, 2015 | Dalum(away) | 1-2 | Denmark Series - Group 2 |
| Apr 25, 2015 | Ringsted(home) | 4-2 | Denmark Series - Group 2 |
| Apr 19, 2015 | Næsby II(away) | 1-3 | Denmark Series - Group 2 |
| Apr 11, 2015 | Næstved II(home) | 2-0 | Denmark Series - Group 2 |
What does the head-to-head say?
In the last meeting: 0 FA 2000 wins, 1 draw, 0 Skanderborg wins.
| Date | Score | Competition |
|---|---|---|
| Oct 4, 2014 | Skanderborg 2-2 FA 2000 | Denmark Series - Group 2 |
Last archived meeting: Skanderborg vs FA 2000 on Oct 4, 2014
How many goals should we expect?
FA 2000 score 2.3 and concede 1.5 goals per match over their last 15; Skanderborg score 1.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FA 2000 | 2.3 | 1.5 | 4 | 8/15 | 10/15 |
| Skanderborg | 1.9 | 1.8 | 2 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about FA 2000 vs Skanderborg?
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