Skive vs Hillerød: result 0-2 and analysis
2. DivisionGroup 1 - 14Kick-off on October 30, 2021 at 12:00 PM (UTC)Hancock Arena, Skive
Full time
What was the result of Skive vs Hillerød?
Hillerød won 0-2 on October 30, 2021.
Goalscorers
- 2′T. ArndalHillerød (pen.)
- 59′T. ArndalHillerød (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skive have 4 wins, 3 draws and 8 defeats; Hillerød have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2021 | B 93(away) | 1-1 | 2. Division |
| Oct 15, 2021 | Aarhus Fremad(home) | 2-1 | 2. Division |
| Oct 9, 2021 | Middelfart(away) | 3-2 | 2. Division |
| Oct 2, 2021 | Brabrand(home) | 0-1 | 2. Division |
| Sep 25, 2021 | Kolding IF(away) | 2-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2021 | AB Copenhagen(home) | 1-3 | 2. Division |
| Oct 16, 2021 | FA 2000(away) | 5-3 | 2. Division |
| Oct 9, 2021 | B 93(away) | 0-0 | 2. Division |
| Oct 2, 2021 | Thisted FC(home) | 5-1 | 2. Division |
| Sep 25, 2021 | Middelfart(away) | 3-1 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 Skive wins, 0 draws, 1 Hillerød win.
| Date | Score | Competition |
|---|---|---|
| Aug 21, 2021 | Hillerød 3-1 Skive | 2. Division |
How many goals should we expect?
Skive score 1.1 and concede 1.6 goals per match over their last 15; Hillerød score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skive | 1.1 | 1.6 | 1 | 10/15 | 8/15 |
| Hillerød | 1.9 | 1.1 | 6 | 7/15 | 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 Skive vs Hillerød?
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