Ull/Kisa vs Rosenborg: result 1-3 and analysis
NM Cupen2nd RoundKick-off on April 24, 2024 at 04:00 PM (UTC)Jessheim Stadion, Jessheim
Full time
What was the result of Ull/Kisa vs Rosenborg?
Rosenborg won 1-3 on April 24, 2024.
Goalscorers
- 8′E. TagsethRosenborg
- 17′E. TagsethRosenborg
- 29′?Ull/Kisa
- 77′S. VäänänenRosenborg
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ull/Kisa have 8 wins, 3 draws and 4 defeats; Rosenborg have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2024 | Alta(away) | 1-1 | 2. Division - Group 2 |
| Apr 13, 2024 | Strommen(home) | 1-2 | 2. Division - Group 2 |
| Apr 10, 2024 | Lørenskog(away) | 2-1 | NM Cupen |
| Apr 7, 2024 | Stjørdals-Blink(away) | 2-2 | 2. Division - Group 2 |
| Mar 30, 2024 | Strommen(away) | 1-4 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2024 | Haugesund(away) | 3-1 | Eliteserien |
| Apr 14, 2024 | Ham-Kam(home) | 1-0 | Eliteserien |
| Apr 10, 2024 | Sverresborg(away) | 6-0 | NM Cupen |
| Apr 7, 2024 | Stromsgodset(away) | 0-1 | Eliteserien |
| Apr 1, 2024 | Sandefjord(home) | 2-0 | Eliteserien |
What does the head-to-head say?
In the last meeting: 0 Ull/Kisa wins, 0 draws, 1 Rosenborg win.
| Date | Score | Competition |
|---|---|---|
| Jun 19, 2019 | Ull/Kisa 1-2 Rosenborg | NM Cupen |
Last archived meeting: Ull/Kisa vs Rosenborg on Jun 19, 2019
How many goals should we expect?
Ull/Kisa score 1.7 and concede 1.5 goals per match over their last 15; Rosenborg score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ull/Kisa | 1.7 | 1.5 | 3 | 11/15 | 11/15 |
| Rosenborg | 1.9 | 1.3 | 5 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Ull/Kisa vs Rosenborg?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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