Ull/Kisa vs jerv: result 7-1 and analysis
1. DivisionRegular Season - 27Kick-off on October 15, 2017 at 04:00 PM (UTC)Jessheim Stadion, Jessheim
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What was the result of Ull/Kisa vs jerv?
Ull/Kisa won 7-1 on October 15, 2017.
Goalscorers
- 7′A. AalbuUll/Kisa
- 24′Mats André KalandUll/Kisa
- 27′N. SandbergUll/Kisa
- 49′N. SandbergUll/Kisa
- 51′N. SandbergUll/Kisa
- 53′N. SandbergUll/Kisa
- 69′A. AalbuUll/Kisa
- 85′Andreas Hagenjerv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ull/Kisa have 7 wins, 1 draws and 7 defeats; jerv have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2017 | Fredrikstad(away) | 2-1 | 1. Division |
| Sep 26, 2017 | Bodo/Glimt(home) | 2-5 | 1. Division |
| Sep 17, 2017 | Floro(home) | 3-0 | 1. Division |
| Sep 10, 2017 | Tromsdalen Uil(away) | 3-2 | 1. Division |
| Sep 3, 2017 | Mjondalen(home) | 0-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2017 | Mjondalen(home) | 0-1 | 1. Division |
| Sep 24, 2017 | Tromsdalen Uil(away) | 4-1 | 1. Division |
| Sep 17, 2017 | Sandnes ULF(home) | 2-0 | 1. Division |
| Sep 10, 2017 | Asane(away) | 1-1 | 1. Division |
| Sep 3, 2017 | Start(home) | 1-3 | 1. Division |
What does the head-to-head say?
Across the last 3 meetings: 0 Ull/Kisa win(s), 1 draw(s), 2 jerv win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 2, 2017 | jerv 6-2 Ull/Kisa | 1. Division |
| Aug 24, 2016 | jerv 1-0 Ull/Kisa | 1. Division |
| May 29, 2016 | Ull/Kisa 1-1 jerv | 1. Division |
How many goals should we expect?
Ull/Kisa score 2.0 and concede 2.1 goals per match over their last 15; jerv score 1.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ull/Kisa | 2.0 | 2.1 | 3 | 10/15 | 12/15 |
| jerv | 1.9 | 1.7 | 4 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy