Arendal vs Ull/Kisa: result 1-2 and analysis
1. DivisionRegular Season - 2Kick-off on April 9, 2017 at 03:00 PM (UTC)Norac Stadion, Arendal
Full time
What was the result of Arendal vs Ull/Kisa?
Ull/Kisa won 1-2 on April 9, 2017.
Goalscorers
- 52′Y. IbrahimajArendal
- 68′A. AalbuUll/Kisa
- 89′K. ØdemarksbakkenUll/Kisa
Official lineup for Arendal vs Ull/Kisa
The starting elevens fielded at kick-off.
Arendal
- 7Petar Rnkovic
- 11Y. Ibrahimaj
- 17Adnan Mohammad
- 5Tobias Johansen Henanger
- 10Jakob Rasmussen
- 2M. Olsen
- 3Dejan Corovic
- 4M. Andersen
- 13S. Kiilerich
- 20A. Markovic
- 12Anders Gundersen
Ull/Kisa
- 9O. Kristian Langås
- 10N. Sandberg
- 37A. Aalbu
- 7Jan Tore Amundsen
- 11Christian Aas
- 22Nicolay Tveten Solberg
- 25M. Torp
- 4Ciisè Aaden Abshir
- 20V. Dragsnes
- 21E. Troudart
- 31S. Hagerup
What is the recent form of both teams?
In their last match in all competitions, Arendal have 0 wins, 0 draws and 1 defeat; Ull/Kisa have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2017 | Mjondalen(away) | 1-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2017 | Levanger(home) | 2-2 | 1. Division |
| Oct 30, 2016 | Kongsvinger(away) | 3-2 | 1. Division |
| Oct 23, 2016 | Ranheim(home) | 2-2 | 1. Division |
| Oct 16, 2016 | Sandnes ULF(away) | 0-4 | 1. Division |
| Oct 3, 2016 | Kristiansund BK(home) | 2-3 | 1. Division |
How many goals should we expect?
Arendal score 1.0 and concede 2.0 goals per match in their last match; Ull/Kisa score 1.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arendal | 1.0 | 2.0 | 0 | 1/1 | 1/1 |
| Ull/Kisa | 1.7 | 1.9 | 3 | 9/15 | 11/15 |
Over the last match in all competitions.
A question about Arendal vs Ull/Kisa?
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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