Fredensborg BI vs B 93: result 0-1 and analysis
2. DivisionRegular Season - 14Kick-off on November 5, 2016 at 01:00 PM (UTC)Fredensborg Stadion, Fredensborg
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What was the result of Fredensborg BI vs B 93?
B 93 won 0-1 on November 5, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fredensborg BI have 5 wins, 2 draws and 8 defeats; B 93 have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2016 | Brønshøj(away) | 0-3 | 2. Division |
| Oct 22, 2016 | HIK(home) | 0-4 | 2. Division |
| Oct 15, 2016 | Frem(away) | 2-3 | 2. Division |
| Oct 8, 2016 | Holbæk B&I(home) | 1-0 | 2. Division |
| Oct 5, 2016 | B 93(away) | 2-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2016 | Avarta(home) | 0-0 | 2. Division |
| Oct 22, 2016 | Brønshøj(away) | 1-2 | 2. Division |
| Oct 16, 2016 | Holbæk B&I(away) | 3-2 | 2. Division |
| Oct 13, 2016 | Esbjerg(home) | 1-0 | DBU Pokalen |
| Oct 8, 2016 | HIK(home) | 4-2 | 2. Division |
What does the head-to-head say?
In the last meeting: 1 Fredensborg BI win, 0 draws, 0 B 93 wins.
| Date | Score | Competition |
|---|---|---|
| Oct 5, 2016 | B 93 0-2 Fredensborg BI | 2. Division |
Last archived meeting: B 93 vs Fredensborg BI on Oct 5, 2016
How many goals should we expect?
Fredensborg BI score 1.2 and concede 1.8 goals per match over their last 15; B 93 score 1.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fredensborg BI | 1.2 | 1.8 | 6 | 4/15 | 9/15 |
| B 93 | 1.5 | 1.2 | 5 | 8/15 | 7/15 |
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 Fredensborg BI 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