Hillerød vs Skive: result 3-1 and analysis
2. DivisionGroup 1 - 4Kick-off on August 21, 2021 at 12:00 PM (UTC)Right to Dream Park, Farum
Full time
What was the result of Hillerød vs Skive?
Hillerød won 3-1 on August 21, 2021.
Goalscorers
- 45′?Hillerød
- 58′?Hillerød
- 90′?Hillerød
- 90′?Skive
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hillerød have 9 wins, 2 draws and 4 defeats; Skive have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2021 | Naestved(away) | 0-1 | 2. Division |
| Aug 14, 2021 | Brabrand(away) | 1-0 | 2. Division |
| Aug 7, 2021 | HIK(home) | 1-0 | 2. Division |
| Aug 3, 2021 | Skovshoved(away) | 4-0 | DBU Pokalen |
| Jul 24, 2021 | Frem(home) | 1-1 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2021 | Thisted FC(home) | 2-2 | 2. Division |
| Aug 14, 2021 | HIK(away) | 0-1 | 2. Division |
| Aug 7, 2021 | Naestved(home) | 0-1 | 2. Division |
| Aug 3, 2021 | Fuglebakken KFUM(away) | 2-0 | DBU Pokalen |
| Jul 30, 2021 | Brabrand(away) | 0-1 | Friendlies Clubs |
How many goals should we expect?
Hillerød score 1.4 and concede 0.9 goals per match over their last 15; Skive score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hillerød | 1.4 | 0.9 | 8 | 4/15 | 6/15 |
| Skive | 0.9 | 1.4 | 4 | 4/15 | 5/15 |
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 Hillerød vs Skive?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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