BSF vs Taastrup: result 4-1 and analysis
Denmark Series - Group 1Regular Season - 20Kick-off on April 27, 2019 at 08:45 AM (UTC)Ballerup Idrætspark, Ballerup
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What was the result of BSF vs Taastrup?
BSF won 4-1 on April 27, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, BSF have 5 wins, 3 draws and 7 defeats; Taastrup have 0, 4 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2019 | Greve(away) | 4-3 | Denmark Series - Group 1 |
| Apr 13, 2019 | Skjold Birkerød(home) | 2-0 | Denmark Series - Group 1 |
| Apr 10, 2019 | AB Tårnby(away) | 0-1 | Denmark Series - Group 1 |
| Mar 30, 2019 | GVI(home) | 1-0 | Denmark Series - Group 1 |
| Mar 24, 2019 | Holbæk B&I(away) | 1-3 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2019 | Skjold Birkerød(home) | 0-5 | Denmark Series - Group 1 |
| Apr 13, 2019 | AB Tårnby(home) | 1-3 | Denmark Series - Group 1 |
| Apr 6, 2019 | GVI(away) | 0-2 | Denmark Series - Group 1 |
| Mar 30, 2019 | Holbæk B&I(home) | 1-5 | Denmark Series - Group 1 |
| Mar 23, 2019 | Herlev(away) | 1-7 | Denmark Series - Group 1 |
What does the head-to-head say?
Across the last 4 meetings: 1 BSF win(s), 2 draw(s), 1 Taastrup win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 13, 2018 | Taastrup 1-1 BSF | Denmark Series - Group 1 |
| Aug 11, 2018 | BSF 1-0 Taastrup | Denmark Series - Group 1 |
| Apr 25, 2015 | BSF 0-4 Taastrup | Denmark Series - Group 1 |
| Sep 13, 2014 | Taastrup 1-1 BSF | Denmark Series - Group 1 |
How many goals should we expect?
BSF score 1.3 and concede 1.7 goals per match over their last 15; Taastrup score 0.8 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BSF | 1.3 | 1.7 | 3 | 9/15 | 6/15 |
| Taastrup | 0.8 | 2.9 | 0 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy