Hvidovre vs Frem: result 5-0 and analysis
2. DivisionRegular Season - 13Kick-off on October 28, 2017 at 01:00 PM (UTC)Pro Ventilation Arena, Hvidovre
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What was the result of Hvidovre vs Frem?
Hvidovre won 5-0 on October 28, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hvidovre have 12 wins, 3 draws and 0 defeats; Frem have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 24, 2017 | Naestved(away) | 2-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2017 | B 93(away) | 5-2 | 2. Division |
| Oct 14, 2017 | Skovshoved(home) | 5-1 | 2. Division |
| Oct 8, 2017 | Naestved(away) | 0-1 | 2. Division |
| Sep 30, 2017 | Hillerød(away) | 2-2 | 2. Division |
| Sep 23, 2017 | AB Copenhagen(home) | 4-3 | 2. Division |
What does the head-to-head say?
Across the last 4 meetings: 3 Hvidovre wins, 1 draw, 0 Frem wins.
| Date | Score | Competition |
|---|---|---|
| Sep 2, 2017 | Frem 0-2 Hvidovre | 2. Division |
| Aug 8, 2017 | Hvidovre 1-0 Frem | DBU Pokalen |
| Oct 8, 2016 | Hvidovre 4-1 Frem | 2. Division |
| Sep 10, 2016 | Frem 1-1 Hvidovre | 2. Division |
How many goals should we expect?
Hvidovre score 2.5 and concede 0.8 goals per match over their last 15; Frem score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hvidovre | 2.5 | 0.8 | 7 | 8/15 | 10/15 |
| Frem | 1.9 | 1.3 | 4 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Hvidovre vs Frem?
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