B 93 vs Frem: result 1-1 and analysis
2. DivisionRegular Season - 8Kick-off on September 24, 2016 at 11:00 AM (UTC)Sundby Idrætspark, København
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What was the result of B 93 vs Frem?
B 93 and Frem drew 1-1 on September 24, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B 93 have 6 wins, 2 draws and 7 defeats; Frem have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | HIK(away) | 2-0 | 2. Division |
| Sep 4, 2016 | Avarta(away) | 1-0 | 2. Division |
| Aug 30, 2016 | KFUM Roskilde(away) | 4-1 | DBU Pokalen |
| Aug 27, 2016 | Holbæk B&I(home) | 1-2 | 2. Division |
| Aug 20, 2016 | Frem(away) | 0-2 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Holbæk B&I(home) | 5-1 | 2. Division |
| Sep 10, 2016 | Hvidovre(home) | 1-1 | 2. Division |
| Sep 3, 2016 | Brønshøj(home) | 0-2 | 2. Division |
| Aug 30, 2016 | NB Bornholm(away) | 4-0 | DBU Pokalen |
| Aug 27, 2016 | HIK(away) | 2-1 | 2. Division |
What does the head-to-head say?
Across the last 3 meetings: 1 B 93 win, 0 draws, 2 Frem wins.
| Date | Score | Competition |
|---|---|---|
| Aug 20, 2016 | Frem 2-0 B 93 | 2. Division |
| 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?
B 93 score 1.7 and concede 1.4 goals per match over their last 15; Frem score 2.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B 93 | 1.7 | 1.4 | 4 | 8/15 | 9/15 |
| Frem | 2.5 | 0.9 | 7 | 7/15 | 10/15 |
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 B 93 vs Frem?
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