Avarta vs B 93: result 0-1 and analysis
2. DivisionRegular Season - 5Kick-off on September 4, 2016 at 11:00 AM (UTC)Tømrermester Jim Jensens Park, Rødovre
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What was the result of Avarta vs B 93?
B 93 won 0-1 on September 4, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Avarta have 7 wins, 3 draws and 5 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 27, 2016 | Fredensborg BI(away) | 2-1 | 2. Division |
| Aug 21, 2016 | Brønshøj(home) | 1-1 | 2. Division |
| Aug 14, 2016 | HIK(home) | 3-0 | 2. Division |
| Aug 10, 2016 | Fremad Amager(away) | 1-2 | DBU Pokalen |
| Aug 6, 2016 | Frem(away) | 2-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 13, 2016 | Hvidovre(home) | 1-3 | 2. Division |
| Aug 10, 2016 | AB Tårnby(home) | 3-1 | DBU Pokalen |
What does the head-to-head say?
In the last meeting: 0 Avarta wins, 0 draws, 1 B 93 win.
| Date | Score | Competition |
|---|---|---|
| Aug 14, 2012 | B 93 4-0 Avarta | DBU Pokalen |
How many goals should we expect?
Avarta score 1.5 and concede 1.2 goals per match over their last 15; B 93 score 1.7 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Avarta | 1.5 | 1.2 | 1 | 12/15 | 10/15 |
| B 93 | 1.7 | 1.6 | 2 | 9/15 | 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 Avarta vs B 93?
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