Norwegian Eliteserien13°0,1 mm20 km/h

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    VikingVikingPossession & high press
    vs
    KristiansundKristiansundLow block & direct
    The model's lean: 1 · Viking (74%)Best value by the model: 2 · Kristiansund @ 11.00 (+17 %)

    VikingKristiansund · Norwegian Eliteserien

    1 · Viking 74%X 16%11% Kristiansund · 2

    Analysis: VikingKristiansund

    Sofia Andersson · · The model's read on the match · How the predictions work

    Viking have dominated Kristiansund in their last five meetings, winning each encounter, which sets the stage for another favorable outing for the hosts. Although it's a small sample, it aligns with the current form and strengths of the two teams. Viking's high-press, possession-driven style has proved effective against Kristiansund's more defensive, direct approach. This tactical imbalance, coupled with Viking's consistent goal-scoring form — netting in eight consecutive league matches — tilts the odds heavily in their favor.

    The home side boasts a strong record, winning 65% of their matches at their ground historically. Their expected goals per match (1.9) significantly outpaces Kristiansund's (1.1), reflecting a clear attacking advantage. Moreover, Viking's defense is more robust, evidenced by a lower xGA per match at 1.2 compared to Kristiansund's 1.8. These metrics suggest Viking have the upper hand in both offensive and defensive phases.

    Model probabilities place Viking at a commanding 74% chance of victory, with the most likely scorelines being 2-0 or 2-1. The over 2.5 goals market is active at 66%, indicating an expectation for multiple goals, despite the visitors' defensive setup. There is a reasonable chance (56%) for both teams to score, though Viking's superior quality could suppress Kristiansund's attacking efforts.

    For those seeking a betting angle, there is notable value in Kristiansund's upset odds at 11.0 with Betsafe, Betsson, and Nordicbet. The model identifies an 11% chance for an away win, uncovering a 17% edge. While Viking remain heavy favorites, this could pique interest for risk-takers valuing high-return wagers.

    VikingViking
    Form WWLWD
    League ranking xG #2xGA #2xT #3xP/match #2Points #2
    Key players
    • Zlatko TripicLWxG 0.25 · xT 0.62
    • Edvin AustboLWxG 0.19 · xT 0.18
    • Peter ChristiansenFxG 0.36 · xT -0.02
    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

    Match prediction: VikingKristiansund

    Predicted score matrix

    Kristiansund
    Viking
    0
    1
    2
    3
    4+
    0
    0–03.6%
    0–12.9%
    0–21.5%
    0–30.5%
    0–4+0.1%
    1
    1–08.0%
    1–18.0%
    1–23.7%
    1–31.1%
    1–4+0.3%
    2
    2–010.1%
    2–19.5%
    2–24.5%
    2–31.4%
    2–4+0.4%
    3
    3–08.2%
    3–17.8%
    3–23.7%
    3–31.2%
    3–4+0.3%
    4+
    4+–09.1%
    4+–18.5%
    4+–24.0%
    4+–31.3%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-010%
    2. 2.2-110%
    3. 3.3-08%
    4. 4.1-08%
    5. 5.1-18%
    Expected goals
    2,450,94
    Both teams to score
    56%

    Over/under goals

    Expected goals: 3,4
    Under 2,534%
    @3.10EV+4%
    Over 2,566%
    @1.38

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Viking to win74%
    • Over 1.5 goals85%

    Combined probability

    62%

    Fair odds

    1.61

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

    02 · 3 legs

    Balanced

    • Viking to win74%
    • Over 2.5 goals66%
    • Peter Buch Christiansen to score38%

    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 score56%
    • Over 2.5 goals66%
    • Peter Buch Christiansen to score38%
    • Heine Gikling Bruseth to be booked23%

    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

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 2 · Kristiansund11% probability@11.00BetsafeEV+17%reference odds
    • 2 · Kristiansund11% probability@11.00BetssonEV+17%reference odds
    • 2 · Kristiansund11% probability@11.00NordicbetEV+17%reference odds
    Bookmaker1 · VikingX2 · Kristiansund
    Betsafe1.295.25
    EV+ 17%
    11.00
    Betsson1.305.35
    EV+ 17%
    11.00
    Nordicbet1.305.35
    EV+ 17%
    11.00
    Pinnacle1.27
    EV+ 3%
    6.60
    7.97

    Odds updated 11 Sept, 12:38

    Odds movement

    Market signal

    The market has moved clearly towards an Kristiansund win since 7 September — the odds have shortened from 9.24 to 7.97 (−14%).

    1+2 %
    78 %73 %

    1.241.27

    X-9 %
    16 %11 %

    7.226.60

    2-14 %
    14 %9 %

    9.247.97

    Pinnacle · 7 recorded price levels · 07/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    Viking 5Draw 0Kristiansund 0
    Goals: 92 (⌀ 2,2)

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

    Key facts

    • Viking FK dominate this fixture historically: 5 wins to 0 in 5 meetings.
    • Viking FK have scored in 8 consecutive league matches.
    • Viking FK win 65% of their home matches all-time (83 played).
    xG & xGA per match — 3-game rolling average

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

    Viking
    Kristiansund
    When goals are scored and conceded 2026
    Viking (4319)
    Kristiansund (1929)
    Pass networks

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

    Viking
    Gianni Stensness: 177 passningar, xT 0.37StensnessHenrik Heggheim: 162 passningar, xT 0.56HeggheimZlatko Tripic: 160 passningar, xT 3.15TripicVetle Auklend: 150 passningar, xT 0.53AuklendKristoffer Askildsen: 137 passningar, xT 0.95AskildsenArild Ostbo: 113 passningar, xT 0.2OstboTobias Moi: 106 passningar, xT 0.42MoiHerman Haugen: 79 passningar, xT 0.33HaugenSondre Bjorshol: 77 passningar, xT 0.12BjorsholJoe Bell: 73 passningar, xT 0.12BellJesper Norman Daland: 70 passningar, xT -0.08Daland
    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
    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.

    Viking
    Gianni Stensness: 177 passningar, xT 0.37StensnessHenrik Heggheim: 162 passningar, xT 0.56HeggheimZlatko Tripic: 160 passningar, xT 3.15TripicVetle Auklend: 150 passningar, xT 0.53AuklendKristoffer Askildsen: 137 passningar, xT 0.95AskildsenArild Ostbo: 113 passningar, xT 0.2OstboTobias Moi: 106 passningar, xT 0.42MoiHerman Haugen: 79 passningar, xT 0.33HaugenSondre Bjorshol: 77 passningar, xT 0.12BjorsholJoe Bell: 73 passningar, xT 0.12BellJesper Norman Daland: 70 passningar, xT -0.08Daland
    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

    The teams in numbers

    PerformanceVikingKristiansund
    Points4416
    xPoints30.521.1
    xG per match1.91.1
    xGA per match1.21.8
    xG within 8s of winning the ball0.30.17
    xGA within 8s of losing the ball0.160.22
    Playing styleVikingKristiansund
    Build-up efficiency0.340.32
    Field tilt0.60.39
    xT per match1.60.73
    xTA per match0.931.4
    Won balls, offensive half2825
    Pressing intensity0.220.23
    Pressing efficiency0.290.26
    Pressing efficiency, offensive half0.250.2
    Entries into the box per match1810
    Entries into the box against1216
    Pass completion %0.750.75
    Pass completion % under pressure0.730.73
    Passes per match372321
    Passes against per match355447
    Switches of play per match26.225.3
    Long balls per match3635
    Set piecesVikingKristiansund
    xG from free kicks0.090.06
    Corners per match74.3
    Corners against per match5.46.7
    xG per corner0.040.04
    xGA per corner against0.030.03
    First touch, offensive corners %0.350.48
    First touch, defensive corners %0.560.71
    OtherVikingKristiansund
    Throw-in control0.720.67
    The goalkeepersArild Ostbo (Viking)Adrian Saether (Kristiansund)
    Saves2342
    Save %77%68%
    xG prevented80%54%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Viking vs Kristiansund according to our model?

    The model gives Viking a 74% win probability. Full 1X2 picture: Viking 74%, draw 16%, Kristiansund 11%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 66% and under at 34%.

    Will both teams score?

    The probability of both teams scoring is 56% 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.