01 · 2 legs
Safe
- Rosenborg to win48%
- Over 1.5 goals79%
Norwegian Eliteserien10°1,8 mm12 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
Kristiansund's defensive frailties are set to be tested by Rosenborg's counter-attacking prowess. The home side, known for their direct style, have struggled to keep opponents at bay, conceding an average of 1.8 expected goals against per match. In contrast, Rosenborg's tactical approach, focused on quick transitions and crosses, aligns perfectly with exploiting such vulnerabilities. The model gives the visitors a 48% chance of winning, pointing to a likely edge for the Trondheim club.
Rosenborg's recent form and their historical dominance in this matchup bolster their chances further. With three wins in the last five meetings against Kristiansund, albeit from a small sample, the psychological advantage leans heavily towards the visitors. More convincingly, Rosenborg have found the net in each of their last nine league outings, a testament to their consistent attacking threat. This ability to score, combined with Kristiansund's defensive struggles, signals a potentially decisive encounter in favour of Rosenborg.
The expected goals model suggests a 1.23 to 1.69 tilt towards Rosenborg, reinforcing the notion of a narrow but clear edge. Yet, Kristiansund's ability to score is not negligible, as evidenced by a 58% probability of both teams finding the net. Weather conditions — a cool 9.3°C with 4.5 mm of rain — might dampen the goal tally slightly, but the overall outlook still leans towards a match with more than 2.5 goals, which has a 56% likelihood.
With Rosenborg's counter-attacking edge and a shaky home defense, a 1-2 victory for the visitors emerges as the most plausible scoreline. For bettors, the probabilities and form lines converge on an away triumph as the more likely outcome.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
Head-to-head based on Eliteserien data since 2021.
Solid line = created (xG), dashed = conceded (xGA).
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.
| Performance | Kristiansund | Rosenborg |
|---|---|---|
| Points | 16 | 27 |
| xPoints | 21.1 | 28.3 |
| xG per match | 1.1 | 1.7 |
| xGA per match | 1.8 | 1.5 |
| xG within 8s of winning the ball | 0.17 | 0.17 |
| xGA within 8s of losing the ball | 0.22 | 0.25 |
| Playing style | Kristiansund | Rosenborg |
|---|---|---|
| Build-up efficiency | 0.32 | 0.33 |
| Field tilt | 0.39 | 0.55 |
| xT per match | 0.73 | 1.1 |
| xTA per match | 1.4 | 1.1 |
| Won balls, offensive half | 25 | 27 |
| Pressing intensity | 0.23 | 0.24 |
| Pressing efficiency | 0.26 | 0.3 |
| Pressing efficiency, offensive half | 0.2 | 0.28 |
| Entries into the box per match | 10 | 14 |
| Entries into the box against | 16 | 15 |
| Pass completion % | 0.75 | 0.77 |
| Pass completion % under pressure | 0.73 | 0.72 |
| Passes per match | 321 | 399 |
| Passes against per match | 447 | 354 |
| Switches of play per match | 25.3 | 21 |
| Long balls per match | 35 | 27 |
| Set pieces | Kristiansund | Rosenborg |
|---|---|---|
| xG from free kicks | 0.06 | 0.06 |
| Corners per match | 4.3 | 6.2 |
| Corners against per match | 6.7 | 6.1 |
| xG per corner | 0.04 | 0.03 |
| xGA per corner against | 0.03 | 0.05 |
| First touch, offensive corners % | 0.48 | 0.42 |
| First touch, defensive corners % | 0.71 | 0.61 |
| Other | Kristiansund | Rosenborg |
|---|---|---|
| Throw-in control | 0.67 | 0.7 |
| The goalkeepers | Adrian Saether (Kristiansund) | Leopold Wahlstedt (Rosenborg) |
|---|---|---|
| Saves | 42 | 58 |
| Save % | 68% | 69% |
| xG prevented | 54% | 49% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Rosenborg a 48% win probability. Full 1X2 picture: Kristiansund 28%, draw 24%, Rosenborg 48%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 56% and under at 44%.
The probability of both teams scoring is 58% according to the model.
The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.