Skeid vs Ull/Kisa: result 1-2 and analysis
1. DivisionRegular Season - 27Kick-off on October 20, 2019 at 04:00 PM (UTC)Nordre Åsen kunstgress, Oslo
Full time
What was the result of Skeid vs Ull/Kisa?
Ull/Kisa won 1-2 on October 20, 2019.
Goalscorers
- 17′J. BudusonSkeid
- 89′S. HagerupUll/Kisa
- 90′V. DiomandeUll/Kisa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skeid have 1 wins, 5 draws and 9 defeats; Ull/Kisa have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Ham-Kam(away) | 1-2 | 1. Division |
| Sep 30, 2019 | Strommen(home) | 1-1 | 1. Division |
| Sep 22, 2019 | Nest-Sotra(away) | 1-2 | 1. Division |
| Sep 18, 2019 | Sogndal(home) | 2-2 | 1. Division |
| Sep 15, 2019 | KFUM Oslo(away) | 1-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Notodden(away) | 0-0 | 1. Division |
| Sep 29, 2019 | Aalesund(home) | 2-2 | 1. Division |
| Sep 21, 2019 | Kongsvinger(away) | 2-1 | 1. Division |
| Sep 18, 2019 | jerv(home) | 1-0 | 1. Division |
| Sep 15, 2019 | Ham-Kam(away) | 0-2 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Skeid win(s), 0 draw(s), 1 Ull/Kisa win(s).
| Date | Score | Competition |
|---|---|---|
| May 5, 2019 | Ull/Kisa 3-2 Skeid | 1. Division |
How many goals should we expect?
Skeid score 1.1 and concede 1.9 goals per match over their last 15; Ull/Kisa score 1.3 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skeid | 1.1 | 1.9 | 1 | 11/15 | 8/15 |
| Ull/Kisa | 1.3 | 2.0 | 2 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Skeid | 30 | 2 | 9 | 19 | 35 | 66 | 15 |
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