B 93 vs Skovshoved: result 3-3 and analysis
2. DivisionRegular Season - 7Kick-off on September 16, 2017 at 11:00 AM (UTC)Sundby Idrætspark, København
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What was the result of B 93 vs Skovshoved?
B 93 and Skovshoved drew 3-3 on September 16, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B 93 have 7 wins, 2 draws and 6 defeats; Skovshoved have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | Frem(away) | 3-3 | 2. Division |
| Sep 2, 2017 | Naestved(home) | 1-5 | 2. Division |
| Aug 29, 2017 | LSF(away) | 0-1 | DBU Pokalen |
| Aug 26, 2017 | Hillerød(home) | 6-0 | 2. Division |
| Aug 18, 2017 | Hvidovre(away) | 1-2 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | AB Copenhagen(home) | 4-2 | 2. Division |
| Sep 2, 2017 | Hillerød(away) | 3-1 | 2. Division |
| Aug 26, 2017 | Hvidovre(home) | 1-5 | 2. Division |
| Aug 19, 2017 | Brønshøj(away) | 2-0 | 2. Division |
| Aug 12, 2017 | Frem(home) | 1-1 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 B 93 win, 0 draws, 1 Skovshoved win.
| Date | Score | Competition |
|---|---|---|
| May 4, 2013 | B 93 2-3 Skovshoved | Denmark Series - Group 1 |
| Sep 15, 2012 | Skovshoved 0-2 B 93 | Denmark Series - Group 1 |
How many goals should we expect?
B 93 score 2.0 and concede 1.8 goals per match over their last 15; Skovshoved score 2.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B 93 | 2.0 | 1.8 | 4 | 9/15 | 11/15 |
| Skovshoved | 2.8 | 1.1 | 4 | 11/15 | 11/15 |
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 Skovshoved?
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