Frem vs AB Copenhagen: result 4-3 and analysis
2. DivisionRegular Season - 8Kick-off on September 23, 2017 at 01:00 PM (UTC)Valby Idrætspark, København
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What was the result of Frem vs AB Copenhagen?
Frem won 4-3 on September 23, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Frem have 5 wins, 4 draws and 6 defeats; AB Copenhagen have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2017 | Brønshøj(away) | 3-0 | 2. Division |
| Sep 9, 2017 | B 93(home) | 3-3 | 2. Division |
| Sep 2, 2017 | Hvidovre(home) | 0-2 | 2. Division |
| Aug 25, 2017 | AB Copenhagen(away) | 1-0 | 2. Division |
| Aug 19, 2017 | Naestved(home) | 0-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2017 | Naestved(home) | 1-1 | 2. Division |
| Sep 9, 2017 | Skovshoved(away) | 2-4 | 2. Division |
| Sep 2, 2017 | Brønshøj(away) | 1-0 | 2. Division |
| Aug 29, 2017 | Slagelse B&I(away) | 1-2 | DBU Pokalen |
| Aug 25, 2017 | Frem(home) | 0-1 | 2. Division |
What does the head-to-head say?
Across the last 1 meetings: 1 Frem win(s), 0 draw(s), 0 AB Copenhagen win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 25, 2017 | AB Copenhagen 0-1 Frem | 2. Division |
Last archived meeting: AB Copenhagen vs Frem on Aug 25, 2017
How many goals should we expect?
Frem score 1.3 and concede 1.3 goals per match over their last 15; AB Copenhagen score 1.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Frem | 1.3 | 1.3 | 4 | 7/15 | 6/15 |
| AB Copenhagen | 1.4 | 1.5 | 2 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | AB Copenhagen | 32 | 23 | 2 | 7 | 81 | 34 | 71 |
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