Ull/Kisa vs jerv: result 1-1 and analysis
1. DivisionRegular Season - 10Kick-off on May 29, 2016 at 04:00 PM (UTC)Jessheim Stadion, Jessheim
Full time
What was the result of Ull/Kisa vs jerv?
Ull/Kisa and jerv drew 1-1 on May 29, 2016.
Goalscorers
- 39′T. JørstadUll/Kisa
- 74′D. Antwijerv
Official lineup for Ull/Kisa vs jerv
The starting elevens fielded at kick-off.
Ull/Kisa
- 5O. Kristian Langås
- 16K. Ødemarksbakken
- 7Jan Tore Amundsen
- 8T. Jørstad
- 10Carl Jesper Andreasson
- 14Nicolay Tveten Solberg
- 22M. Pawlik
- 27F. Krogstad
- 15T. Braaten
- 20V. Dragsnes
- 31S. Hagerup
jerv
- 16J. Edvardsen
- 33D. Antwi
- 7Ulrik Reinaldo Berglann
- 8Christopher MacConnacher
- 11J. Jenssen
- 89Tonny Brochmann Christiansen
- 2Glenn Brevik Andersen
- 4E. Knudsen
- 19K. Tønnessen
- 25M. Ogungbaro
- 1Øyvind Knutsen
What is the recent form of both teams?
Over their last 9 matches in all competitions, Ull/Kisa have 1 win, 2 draws and 6 defeats; jerv have 3, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2016 | hodd(away) | 0-1 | 1. Division |
| May 16, 2016 | Mjondalen(home) | 5-1 | 1. Division |
| May 12, 2016 | Asane(away) | 2-4 | 1. Division |
| May 8, 2016 | Fredrikstad(home) | 1-2 | 1. Division |
| May 1, 2016 | Raufoss(away) | 1-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Mjondalen(home) | 1-1 | 1. Division |
| May 16, 2016 | Sandnes ULF(away) | 1-0 | 1. Division |
| May 12, 2016 | Levanger(home) | 0-1 | 1. Division |
| May 8, 2016 | Bryne(away) | 1-0 | 1. Division |
| May 1, 2016 | Strommen(home) | 2-2 | 1. Division |
How many goals should we expect?
Ull/Kisa score 1.4 and concede 1.9 goals per match over their last 9; jerv score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ull/Kisa | 1.4 | 1.9 | 0 | 8/9 | 6/9 |
| jerv | 0.9 | 1.4 | 2 | 4/9 | 3/9 |
Over the last 9 matches in all competitions.
A question about Ull/Kisa vs jerv?
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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