B 1913 vs Silkeborg KFUM: result 1-1 and analysis
Denmark Series - Group 3Regular Season - 4Kick-off on August 25, 2018 at 12:00 PM (UTC)Campus Road, Odense
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What was the result of B 1913 vs Silkeborg KFUM?
B 1913 and Silkeborg KFUM drew 1-1 on August 25, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B 1913 have 4 wins, 2 draws and 9 defeats; Silkeborg KFUM have 1, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2018 | Varde IF Elite(away) | 0-1 | Denmark Series - Group 3 |
| Aug 10, 2018 | Kolding B(away) | 1-0 | Denmark Series - Group 3 |
| Aug 8, 2018 | Kolding IF(home) | 0-1 | DBU Pokalen |
| Aug 3, 2018 | Otterup(home) | 0-2 | Denmark Series - Group 3 |
| Jun 2, 2018 | Varde IF Elite(away) | 1-3 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 17, 2018 | Kolding B(home) | 1-3 | Denmark Series - Group 3 |
| Aug 11, 2018 | Otterup(away) | 0-1 | Denmark Series - Group 3 |
| Aug 7, 2018 | Herning KFUM(away) | 5-0 | DBU Pokalen |
| Aug 4, 2018 | Hedensted(home) | 0-2 | Denmark Series - Group 3 |
| Aug 9, 2017 | Viborg(home) | 1-3 | DBU Pokalen |
How many goals should we expect?
B 1913 score 1.1 and concede 1.8 goals per match over their last 15; Silkeborg KFUM score 1.7 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B 1913 | 1.1 | 1.8 | 3 | 5/15 | 5/15 |
| Silkeborg KFUM | 1.7 | 2.7 | 1 | 4/7 | 5/7 |
Over the last 15 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 B 1913 vs Silkeborg KFUM?
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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