Frem vs Skive: result 3-0 and analysis
2. DivisionRelegation Round - 7Kick-off on May 27, 2023 at 12:00 PM (UTC)Valby Idrætspark, København
Full time
What was the result of Frem vs Skive?
Frem won 3-0 on May 27, 2023.
Goalscorers
- 67′?Frem
- 75′?Frem
- 86′?Frem
What is the recent form of both teams?
Over their last 15 matches in all competitions, Frem have 3 wins, 3 draws and 9 defeats; Skive have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2023 | Skive(away) | 3-1 | 2. Division |
| May 6, 2023 | Brabrand(away) | 1-2 | 2. Division |
| Apr 29, 2023 | Roskilde(home) | 2-5 | 2. Division |
| Apr 15, 2023 | HIK(home) | 2-2 | 2. Division |
| Apr 10, 2023 | Brabrand(home) | 1-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2023 | Roskilde(home) | 1-2 | 2. Division |
| May 13, 2023 | Frem(home) | 1-3 | 2. Division |
| May 6, 2023 | HIK(away) | 2-1 | 2. Division |
| Apr 22, 2023 | Brabrand(home) | 3-1 | 2. Division |
| Apr 16, 2023 | Roskilde(away) | 1-1 | 2. Division |
What does the head-to-head say?
Across the last 3 meetings: 2 Frem wins, 1 draw, 0 Skive wins.
| Date | Score | Competition |
|---|---|---|
| May 13, 2023 | Skive 1-3 Frem | 2. Division |
| Apr 1, 2023 | Frem 2-0 Skive | 2. Division |
| Sep 24, 2022 | Skive 0-0 Frem | 2. Division |
How many goals should we expect?
Frem score 1.5 and concede 2.2 goals per match over their last 15; Skive score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Frem | 1.5 | 2.2 | 1 | 10/15 | 9/15 |
| Skive | 1.0 | 1.3 | 2 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Skive | 11 | 4 | 2 | 5 | 13 | 15 | 14 |
A question about Frem vs Skive?
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