Silkeborg KFUM vs B 1909: result 4-4 and analysis
Denmark Series - Group 3Regular Season - 8Kick-off on September 22, 2018 at 01:30 PM (UTC)Søholt Idrætsanlæg græs, Silkeborg
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What was the result of Silkeborg KFUM vs B 1909?
Silkeborg KFUM and B 1909 drew 4-4 on September 22, 2018.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Silkeborg KFUM have 2 wins, 1 draw and 9 defeats; B 1909 have 10, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2018 | Næsby(away) | 0-4 | Denmark Series - Group 3 |
| Sep 8, 2018 | Viborg II(home) | 3-0 | Denmark Series - Group 3 |
| Sep 4, 2018 | Kolding IF(home) | 0-3 | DBU Pokalen |
| Sep 1, 2018 | Varde IF Elite(away) | 1-3 | Denmark Series - Group 3 |
| Aug 25, 2018 | B 1913(away) | 1-1 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2018 | B 1913(home) | 2-4 | Denmark Series - Group 3 |
| Sep 7, 2018 | Kolding B(away) | 3-4 | Denmark Series - Group 3 |
| Aug 31, 2018 | Otterup(home) | 1-0 | Denmark Series - Group 3 |
| Aug 25, 2018 | Hedensted(away) | 2-1 | Denmark Series - Group 3 |
| Aug 18, 2018 | SfB-Oure(home) | 1-0 | Denmark Series - Group 3 |
How many goals should we expect?
Silkeborg KFUM score 1.4 and concede 2.5 goals per match over their last 12; B 1909 score 1.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silkeborg KFUM | 1.4 | 2.5 | 2 | 6/12 | 9/12 |
| B 1909 | 1.8 | 1.7 | 5 | 7/15 | 11/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Silkeborg KFUM | 18 | 4 | 3 | 11 | 26 | 33 | 15 |
A question about Silkeborg KFUM vs B 1909?
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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