FA 2000 vs Frem: result 4-4 and analysis
2. DivisionGroup 1 - 15Kick-off on November 2, 2019 at 12:45 PM (UTC)Frederiksberg IP, Frederiksberg
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What was the result of FA 2000 vs Frem?
FA 2000 and Frem drew 4-4 on November 2, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, FA 2000 have 6 wins, 3 draws and 6 defeats; Frem have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2019 | FC Helsingor(away) | 0-4 | 2. Division |
| Oct 19, 2019 | Avarta(home) | 1-0 | 2. Division |
| Oct 12, 2019 | HIK(away) | 0-2 | 2. Division |
| Oct 5, 2019 | Brønshøj(home) | 2-0 | 2. Division |
| Sep 28, 2019 | B 93(away) | 1-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Slagelse B&I(away) | 3-2 | 2. Division |
| Oct 22, 2019 | B 93(home) | 0-1 | 2. Division |
| Oct 12, 2019 | Hillerød(home) | 1-0 | 2. Division |
| Oct 5, 2019 | Skovshoved(away) | 4-0 | 2. Division |
| Sep 27, 2019 | FC Helsingor(away) | 1-1 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 FA 2000 wins, 1 draw, 0 Frem wins.
| Date | Score | Competition |
|---|---|---|
| Aug 3, 2019 | Frem 2-2 FA 2000 | 2. Division |
How many goals should we expect?
FA 2000 score 1.7 and concede 1.8 goals per match over their last 15; Frem score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FA 2000 | 1.7 | 1.8 | 2 | 9/15 | 9/15 |
| Frem | 1.4 | 1.1 | 5 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | FA 2000 | 11 | 1 | 3 | 7 | 11 | 23 | 6 |
A question about FA 2000 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