B 93 vs Hvidovre: result 4-1 and analysis
2. DivisionRegular Season - 14Kick-off on November 4, 2017 at 01:00 PM (UTC)Sundby Idrætspark, København
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What was the result of B 93 vs Hvidovre?
B 93 won 4-1 on November 4, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B 93 have 5 wins, 3 draws and 7 defeats; Hvidovre have 13, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | Skovshoved(away) | 1-0 | 2. Division |
| Oct 21, 2017 | Frem(home) | 2-5 | 2. Division |
| Oct 15, 2017 | Naestved(away) | 0-2 | 2. Division |
| Oct 7, 2017 | Brønshøj(home) | 1-0 | 2. Division |
| Sep 30, 2017 | AB Copenhagen(away) | 1-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | Frem(home) | 5-0 | 2. Division |
| Oct 20, 2017 | Hillerød(home) | 3-3 | 2. Division |
| Oct 14, 2017 | Brønshøj(away) | 5-1 | 2. Division |
| Oct 6, 2017 | AB Copenhagen(home) | 2-0 | 2. Division |
| Sep 29, 2017 | Skovshoved(home) | 3-2 | 2. Division |
What does the head-to-head say?
Across the last 3 meetings: 1 B 93 win(s), 0 draw(s), 2 Hvidovre win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 18, 2017 | Hvidovre 2-1 B 93 | 2. Division |
| Sep 30, 2016 | Hvidovre 0-1 B 93 | 2. Division |
| Aug 13, 2016 | B 93 1-3 Hvidovre | 2. Division |
How many goals should we expect?
B 93 score 1.9 and concede 2.1 goals per match over their last 15; Hvidovre score 2.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B 93 | 1.9 | 2.1 | 3 | 10/15 | 10/15 |
| Hvidovre | 2.7 | 0.7 | 8 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | B 93 | 4 | 2 | 0 | 2 | 7 | 7 | 6 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy