Frem vs B 93: result 2-0 and analysis
2. DivisionRegular Season - 3Kick-off on August 20, 2016 at 01:00 PM (UTC)Valby Idrætspark, København
Full time
What was the result of Frem vs B 93?
Frem won 2-0 on August 20, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Frem have 9 wins, 3 draws and 3 defeats; B 93 have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2016 | Fredensborg BI(away) | 0-0 | 2. Division |
| Aug 9, 2016 | Vanløse(away) | 4-3 | DBU Pokalen |
| Aug 6, 2016 | Avarta(home) | 1-2 | 2. Division |
| Nov 7, 2015 | Nykobing FC(home) | 3-2 | 2nd Division - Group 2 |
| Oct 31, 2015 | B 93(away) | 3-2 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2016 | Hvidovre(home) | 1-3 | 2. Division |
| Aug 10, 2016 | AB Tårnby(home) | 3-1 | DBU Pokalen |
| Aug 6, 2016 | Brønshøj(home) | 4-1 | 2. Division |
| Nov 7, 2015 | Dalum(away) | 3-3 | 2nd Division - Group 2 |
| Oct 31, 2015 | Frem(home) | 2-3 | 2nd Division - Group 2 |
What does the head-to-head say?
Across the last 2 meetings: 1 Frem win, 0 draws, 1 B 93 win.
| Date | Score | Competition |
|---|---|---|
| Oct 31, 2015 | B 93 2-3 Frem | 2nd Division - Group 2 |
| Sep 5, 2015 | Frem 0-1 B 93 | 2nd Division - Group 2 |
How many goals should we expect?
Frem score 2.1 and concede 0.9 goals per match over their last 15; B 93 score 1.5 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Frem | 2.1 | 0.9 | 7 | 6/15 | 9/15 |
| B 93 | 1.5 | 1.6 | 3 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | B 93 | 11 | 5 | 3 | 3 | 19 | 14 | 18 |
A question about Frem vs B 93?
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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