Give Fremad vs Skive: result 0-5 and analysis
DBU Pokalen2nd RoundKick-off on September 3, 2024 at 03:00 PM (UTC)
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What was the result of Give Fremad vs Skive?
Skive won 0-5 on September 3, 2024.
Goalscorers
- 13′C. KudskSkive
- 18′C. KudskSkive
- 60′S. GivskovSkive
- 72′D. YaoSkive
- 82′M. HuldahlSkive
Official lineup for Give Fremad vs Skive
The starting elevens fielded at kick-off.
Give Fremad
- 9J. Kristensen
- 3S. Vilstrup Sandalgaard
- 5Kasper Larsen
- 8Chris Thomsen
- 11V. Snoghoj
- 12P. Christensen
- 13J. Jørgensen
- 15M. Bitsch
- 16P. Jensen
- 22J. Østergård
- 24M. Mortensen
Skive
- 9D. Yao
- 12R. Breiner
- 14F. Sloth
- 6M. Nedergaard
- 10C. Kudsk
- 15E. Nymann
- 3S. Juel
- 4V. Hjorth
- 18N. Ellegård
- 47Q. Truong
- 21F. Mellbin
What is the recent form of both teams?
Over their last 3 matches in all competitions, Give Fremad have 1 win, 0 draws and 2 defeats; Skive have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2024 | BBB(away) | 2-1 | DBU Pokalen |
| Aug 2, 2022 | Middelfart(home) | 0-7 | DBU Pokalen |
| Aug 3, 2021 | Aalborg Freja(away) | 1-2 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2024 | Ishøj(home) | 2-0 | 2. Division |
| Aug 23, 2024 | Middelfart(away) | 1-2 | 2. Division |
| Aug 17, 2024 | Fremad Amager(home) | 2-3 | 2. Division |
| Aug 10, 2024 | HIK(home) | 1-0 | 2. Division |
| Aug 6, 2024 | Aalborg Chang(away) | 3-0 | DBU Pokalen |
How many goals should we expect?
Give Fremad score 1.0 and concede 3.3 goals per match over their last 3; Skive score 1.6 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Give Fremad | 1.0 | 3.3 | 0 | 2/3 | 3/3 |
| Skive | 1.6 | 1.2 | 4 | 9/15 | 10/15 |
Over the last 3 matches in all competitions.
A question about Give Fremad 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