Kristiansund BK vs Ull/Kisa: result 1-0 and analysis
1. DivisionRegular Season - 15Kick-off on June 29, 2016 at 05:00 PM (UTC)Nordmøre stadion, Kristiansund
Full time
What was the result of Kristiansund BK vs Ull/Kisa?
Kristiansund BK won 1-0 on June 29, 2016.
Goalscorers
- 44′J. MendyKristiansund BK
Official lineup for Kristiansund BK vs Ull/Kisa
The starting elevens fielded at kick-off.
Kristiansund BK
- 6Tor Erik Torske
- 11D. Bamba
- 39J. Mendy
- 99A. Coly
- 9L. Kalludra
- 10S. Økland
- 19A. Hopmark
- 20A. Diop
- 92K. Qaka
- 5D. Ulvestad
- 23C. Månsson
Ull/Kisa
- 3H. Henriksen
- 16K. Ødemarksbakken
- 4Marcin Burkhardt
- 10Carl Jesper Andreasson
- 14Nicolay Tveten Solberg
- 27F. Krogstad
- 15T. Braaten
- 17Karsten Rognerud
- 18E. Asani
- 20V. Dragsnes
- 31S. Hagerup
What is the recent form of both teams?
Over their last 14 matches in all competitions, Kristiansund BK have 10 wins, 3 draws and 1 defeat; Ull/Kisa have 2, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2016 | Sandnes ULF(away) | 1-0 | 1. Division |
| Jun 19, 2016 | Levanger(home) | 1-0 | 1. Division |
| Jun 12, 2016 | Sandefjord(away) | 0-0 | 1. Division |
| Jun 5, 2016 | Strommen(away) | 3-1 | 1. Division |
| May 29, 2016 | Asane(home) | 2-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 26, 2016 | Strommen(home) | 2-0 | 1. Division |
| Jun 19, 2016 | Ranheim(away) | 2-2 | 1. Division |
| Jun 12, 2016 | Kongsvinger(home) | 2-2 | 1. Division |
| Jun 5, 2016 | KFUM Oslo(away) | 0-0 | 1. Division |
| May 29, 2016 | jerv(home) | 1-1 | 1. Division |
How many goals should we expect?
Kristiansund BK score 1.6 and concede 0.7 goals per match over their last 14; Ull/Kisa score 1.4 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kristiansund BK | 1.6 | 0.7 | 7 | 7/14 | 7/14 |
| Ull/Kisa | 1.4 | 1.6 | 2 | 11/14 | 8/14 |
Over the last 14 matches in all competitions.
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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