Norwegian Eliteserien10°1,8 mm12 km/h

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    KristiansundKristiansundLow block & direct
    vs
    RosenborgRosenborgCounter-attacks & crosses
    The model's lean: 2 · Rosenborg (48%)

    KristiansundRosenborg · Norwegian Eliteserien

    1 · Kristiansund 28%X 24%48% Rosenborg · 2

    Analysis: KristiansundRosenborg

    Anna 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.

    KristiansundKristiansund
    Form LWLDW
    League ranking xG #16xGA #15xT #17xP/match #15Points #15
    Key players
    • Leander AlvheimFxG 0.37 · xT 0.00
    • Jesper IsaksenLWBxG 0.09 · xT 0.06
    • Sander Hestetun KilenLWxG 0.11 · xT 0.08
    RosenborgRosenborg
    Form LWWLW
    League ranking xG #6xGA #8xT #8xP/match #7Points #6
    Key players
    • Emil Konradsen CeideLWxG 0.18 · xT 0.19
    • Amin ChiakhaFxG 0.51 · xT 0.05
    • Iver FossumLWxG 0.21 · xT 0.14

    Match prediction: KristiansundRosenborg

    Predicted score matrix

    Rosenborg
    Kristiansund
    0
    1
    2
    3
    4+
    0
    0–05.7%
    0–18.8%
    0–27.7%
    0–34.4%
    0–4+2.7%
    1
    1–06.3%
    1–111.5%
    1–29.5%
    1–35.4%
    1–4+3.3%
    2
    2–04.1%
    2–16.9%
    2–25.8%
    2–33.3%
    2–4+2.0%
    3
    3–01.7%
    3–12.8%
    3–22.4%
    3–31.3%
    3–4+0.8%
    4+
    4+–00.7%
    4+–11.1%
    4+–21.0%
    4+–30.5%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.0-19%
    4. 4.0-28%
    5. 5.2-17%
    Expected goals
    1,231,69
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    Over 2,556%

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    01 · 2 legs

    Safe

    • Rosenborg to win48%
    • Over 1.5 goals79%

    Combined probability

    39%

    Fair odds

    2.56

    Two legs pulling the same way — the probability is computed exactly from the score matrix, not multiplied.

    02 · 3 legs

    Balanced

    • Rosenborg to win48%
    • Over 2.5 goals56%
    • Amin Chiakha to score28%

    Combined probability

    Fair odds

    The whole slip is priced jointly via 20,000 simulated matches — the scorer interacts with result and total goals, never naive multiplication.

    03 · 4 legs

    Bold

    • Both teams to score58%
    • Over 2.5 goals56%
    • Amin Chiakha to score28%
    • Heine Gikling Bruseth to be booked22%

    Combined probability

    Fair odds

    The goal-fest: both teams score with at least three goals, plus the match's most likely scorer and card candidate — all priced jointly via 20,000 simulated matches.

    Odds & value

    No odds available yet.

    Statistics

    Head-to-head

    5 matches
    Kristiansund 1Draw 1Rosenborg 3
    Goals: 611 (⌀ 3,4)

    Head-to-head based on Eliteserien data since 2021.

    Key facts

    • Rosenborg dominate this fixture historically: 3 wins to 1 in 5 meetings.
    • A high-scoring fixture: 3.4 goals per meeting on average.
    • Rosenborg have scored in 9 consecutive league matches.
    xG & xGA per match — 3-game rolling average

    Solid line = created (xG), dashed = conceded (xGA).

    Kristiansund
    Rosenborg
    When goals are scored and conceded 2026
    Kristiansund (1929)
    Rosenborg (3126)
    Pass networks

    Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.

    Kristiansund
    Dan Peter Ulvestad: 283 passningar, xT 0.54UlvestadJesper Isaksen: 172 passningar, xT 0.13IsaksenJulius Mar Juliusson: 165 passningar, xT 0.46JuliussonHeine Gikling Bruseth: 152 passningar, xT 0.02BrusethWilfred George Igor: 118 passningar, xT 0.05IgorMichael Lansing: 114 passningar, xT 0.25LansingHaakon Haugen: 80 passningar, xT 0.09HaugenSander Svendsen: 65 passningar, xT 0.18SvendsenJohn Shuguto Kitolano: 62 passningar, xT 0.08KitolanoSander Hestetun Kilen: 61 passningar, xT 0.22KilenAlexander Munksgaard Nielsen: 61 passningar, xT 0.52Nielsen
    Rosenborg
    Tomas Nemcik: 277 passningar, xT 0.55NemcikOle Selnaes: 264 passningar, xT 1.09SelnaesMikkel Konradsen Ceide: 214 passningar, xT 0.2CeideAdrian Pereira: 191 passningar, xT 0.48PereiraEmil Konradsen Ceide: 178 passningar, xT 0.96CeideMads Bomholt: 159 passningar, xT 0.92BomholtAslak Fonn Witry: 114 passningar, xT 0.57WitryJonas Svensson: 112 passningar, xT 0.56SvenssonNoah Sahsah: 81 passningar, xT 0.28SahsahLeopold Wahlstedt: 70 passningar, xT 0.12WahlstedtSimen Bolkan Nordli: 65 passningar, xT -0.03Nordli
    xT networks

    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.

    Kristiansund
    Dan Peter Ulvestad: 283 passningar, xT 0.54UlvestadJesper Isaksen: 172 passningar, xT 0.13IsaksenJulius Mar Juliusson: 165 passningar, xT 0.46JuliussonHeine Gikling Bruseth: 152 passningar, xT 0.02BrusethWilfred George Igor: 118 passningar, xT 0.05IgorMichael Lansing: 114 passningar, xT 0.25LansingHaakon Haugen: 80 passningar, xT 0.09HaugenSander Svendsen: 65 passningar, xT 0.18SvendsenJohn Shuguto Kitolano: 62 passningar, xT 0.08KitolanoSander Hestetun Kilen: 61 passningar, xT 0.22KilenAlexander Munksgaard Nielsen: 61 passningar, xT 0.52Nielsen
    Rosenborg
    Tomas Nemcik: 277 passningar, xT 0.55NemcikOle Selnaes: 264 passningar, xT 1.09SelnaesMikkel Konradsen Ceide: 214 passningar, xT 0.2CeideAdrian Pereira: 191 passningar, xT 0.48PereiraEmil Konradsen Ceide: 178 passningar, xT 0.96CeideMads Bomholt: 159 passningar, xT 0.92BomholtAslak Fonn Witry: 114 passningar, xT 0.57WitryJonas Svensson: 112 passningar, xT 0.56SvenssonNoah Sahsah: 81 passningar, xT 0.28SahsahLeopold Wahlstedt: 70 passningar, xT 0.12WahlstedtSimen Bolkan Nordli: 65 passningar, xT -0.03Nordli

    The teams in numbers

    PerformanceKristiansundRosenborg
    Points1627
    xPoints21.128.3
    xG per match1.11.7
    xGA per match1.81.5
    xG within 8s of winning the ball0.170.17
    xGA within 8s of losing the ball0.220.25
    Playing styleKristiansundRosenborg
    Build-up efficiency0.320.33
    Field tilt0.390.55
    xT per match0.731.1
    xTA per match1.41.1
    Won balls, offensive half2527
    Pressing intensity0.230.24
    Pressing efficiency0.260.3
    Pressing efficiency, offensive half0.20.28
    Entries into the box per match1014
    Entries into the box against1615
    Pass completion %0.750.77
    Pass completion % under pressure0.730.72
    Passes per match321399
    Passes against per match447354
    Switches of play per match25.321
    Long balls per match3527
    Set piecesKristiansundRosenborg
    xG from free kicks0.060.06
    Corners per match4.36.2
    Corners against per match6.76.1
    xG per corner0.040.03
    xGA per corner against0.030.05
    First touch, offensive corners %0.480.42
    First touch, defensive corners %0.710.61
    OtherKristiansundRosenborg
    Throw-in control0.670.7
    The goalkeepersAdrian Saether (Kristiansund)Leopold Wahlstedt (Rosenborg)
    Saves4258
    Save %68%69%
    xG prevented54%49%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Kristiansund vs Rosenborg according to our model?

    The model gives Rosenborg a 48% win probability. Full 1X2 picture: Kristiansund 28%, draw 24%, Rosenborg 48%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 56% and under at 44%.

    Will both teams score?

    The probability of both teams scoring is 58% according to the model.

    Why are some legs locked in the bet builder?

    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.

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    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.