Frem vs B 93: result 0-1 and analysis
2nd Division - Group 2Regular Season - 5Kick-off on September 5, 2015 at 01:00 PM (UTC)Valby Idrætspark, København
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What was the result of Frem vs B 93?
B 93 won 0-1 on September 5, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Frem have 8 wins, 4 draws and 3 defeats; B 93 have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2015 | Dalum(away) | 3-1 | 2nd Division - Group 2 |
| Aug 22, 2015 | Svendborg(home) | 4-0 | 2nd Division - Group 2 |
| Aug 15, 2015 | Næsby(home) | 2-2 | 2nd Division - Group 2 |
| Aug 11, 2015 | LSF(away) | 2-2 | DBU Pokalen |
| Aug 9, 2015 | Fremad Amager(away) | 2-1 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2015 | Holbæk B&I(away) | 2-4 | DBU Pokalen |
| Aug 23, 2015 | Fremad Amager(away) | 0-2 | 2nd Division - Group 2 |
| Aug 15, 2015 | Marienlyst(home) | 5-1 | 2nd Division - Group 2 |
| Aug 11, 2015 | Sundby(away) | 4-1 | DBU Pokalen |
| Aug 9, 2015 | Nykobing FC(away) | 0-1 | 2nd Division - Group 2 |
How many goals should we expect?
Frem score 2.3 and concede 1.1 goals per match over their last 15; B 93 score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Frem | 2.3 | 1.1 | 4 | 10/15 | 12/15 |
| B 93 | 1.7 | 1.1 | 4 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Frem sit 5th in 2nd Division - Group 2 (25 points from 17 matches) and B 93 sit 7th (20 points from 17 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Frem | 17 | 6 | 7 | 4 | 26 | 22 | 25 |
| 7 | B 93 | 17 | 4 | 8 | 5 | 17 | 24 | 20 |
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