Norwegian Eliteserien9°1,8 mm11 km/h

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    KristiansundKristiansundLow block & direct
    vs
    VålerengaVålerengaLow block & direct
    The model's lean: 2 · Vålerenga (44%)

    Kristiansund vs Vålerenga · Norwegian Eliteserien

    1 · Kristiansund 31%X 25%44% Vålerenga · 2

    Prediction summary

    BetBuilders AI model prediction for Kristiansund vs Vålerenga (Norwegian Eliteserien, Saturday, 31 October 2026): Kristiansund win 31%, draw 25%, Vålerenga win 44%. Expected goals (xG): Kristiansund 1.25, Vålerenga 1.73. Most likely score: 1-1 (11%). Over 2.5 goals 57%, both teams to score 59%. Double chance: Kristiansund or draw 56%, Vålerenga or draw 69%. Prediction updated Friday, 23 October 2026.

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    Analysis: Kristiansund – Vålerenga

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

    Kristiansund have taken 0 wins, 1 draw and 2 losses from three head-to-head meetings with Vålerenga since 2021. That is a small sample and it weighs less than current form indicators and expected-goals output, but it fits the broader picture: the visitors have held the stronger underlying position. The model makes them 44% to win, against 31% for the hosts, with the draw at 25%.

    The table says 20 points versus 29. The deeper numbers say the gap is real, if not overwhelming. Vålerenga lead xPoints 32.9 to 30.1, create 1.7 xG per match against 1.3, and concede 1.7 xGA compared with Kristiansund’s 2.0. That last figure is the pressure point. The home side’s direct approach can generate moments, yet a low defensive profile combined with 2.0 xGA per match is not a foundation for trusting them against the better attack.

    Both teams are low-defence, direct outfits, so this should not settle into a slow possession contest. Kristiansund’s 1.25 expected goals still gives them a credible route onto the scoresheet, while the visitors are projected at 1.73. Both teams to score sits at 59%, and Over 2.5 goals is marginally stronger at 57%. The model’s most likely exact result is 1-1 at 11%, ahead of 1-2 at 9% and 0-1 at 8%, but exact-score markets are naturally fragmented.

    The draw is the single most common scoreline, yet the aggregate direction is away: Vålerenga have the superior points, xPoints, attacking output and defensive numbers. I would price the match around their edge rather than get seduced by the 1-1 peak. The cleanest read is a 1-2 away win, with Over 2.5 goals the sharper supporting angle at 57%.

    KristiansundKristiansund
    Form LLLLD
    League ranking xG #14xGA #14xT #16xP/match #10Points #15
    Key players
    • Leander AlvheimFxG 0.45 · xT 0.01
    • Heine Gikling BrusethCMxG 0.06 · xT 0.06
    • Sander Hestetun KilenLWxG 0.18 · xT 0.09
    VålerengaVålerenga
    Form LDLWW
    League ranking xG #7xGA #9xT #5xP/match #7Points #10
    Key players
    • Henrik BjordalRWxG 0.20 · xT 0.18
    • Carl LangeCMxG 0.15 · xT 0.10
    • Sebastian JarlCBxG 0.09 · xT 0.11

    Match prediction: Kristiansund – Vålerenga

    Predicted score matrix

    Vålerenga →
    Kristiansund →
    0
    1
    2
    3
    4+
    0
    0–05.4%
    0–18.5%
    0–27.6%
    0–34.4%
    0–4+2.8%
    1
    1–06.0%
    1–111.3%
    1–29.5%
    1–35.5%
    1–4+3.5%
    2
    2–04.0%
    2–16.9%
    2–25.9%
    2–33.4%
    2–4+2.2%
    3
    3–01.7%
    3–12.9%
    3–22.5%
    3–31.4%
    3–4+0.9%
    4+
    4+–00.7%
    4+–11.2%
    4+–21.0%
    4+–30.6%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-29%
    3. 3.0-18%
    4. 4.0-28%
    5. 5.2-17%
    Expected goals
    1,25–1,73
    Both teams to score
    59%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    –
    Over 2,557%
    –

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Vålerenga or draw (X2)73%
    • Over 1.5 goals80%

    Combined probability

    59%

    Fair odds

    1.70

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

    02 · 3 legs

    Balanced

    • Double chance Vålerenga or draw (X2)73%
    • Over 2.5 goals57%
    • Mathias Grundetjern to score27%

    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 score59%
    • Over 2.5 goals57%
    • Mathias Grundetjern to score27%
    • Fidèle Brice Ambina to be booked21%

    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

    3 matches
    Kristiansund 0Draw 1Vålerenga 2
    Goals: 4–8 (⌀ 4)

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

    xG & xGA per match — 3-game rolling average

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

    Kristiansund
    Vålerenga
    When goals are scored and conceded — 2026
    Kristiansund (25–49)
    Vålerenga (39–46)
    Pass networks

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

    Kristiansund
    Marius Elvius Kolind-Jørgensen: 163 passningar, xT 0.93Kolind-JørgensenJesper Isaksen: 156 passningar, xT 0.23IsaksenHeine Gikling Bruseth: 155 passningar, xT 0.36BrusethDan Peter Ulvestad: 129 passningar, xT 0.14UlvestadJulius Mar Juliusson: 118 passningar, xT 0.27JuliussonMax Williamsen: 97 passningar, xT 0.25WilliamsenWilfred George Igor: 78 passningar, xT 0.04IgorMichael Lansing: 75 passningar, xT 0.24LansingJohn Shuguto Kitolano: 72 passningar, xT 0.32KitolanoDavid Tufekcic: 68 passningar, xT 0.44TufekcicLeander Alvheim: 48 passningar, xT -0.06Alvheim
    Vålerenga
    Aaron Kiil Olsen: 219 passningar, xT 0.11OlsenSebastian Jarl: 201 passningar, xT 0.36JarlCarl Lange: 163 passningar, xT 0.29LangeHakon Sjatil: 163 passningar, xT 0.65SjatilDennis Gjengaar: 135 passningar, xT 0.59GjengaarGhayas Zahid: 119 passningar, xT 0.82ZahidOscar Thore Hedvall: 113 passningar, xT 0.31HedvallPetter Strand: 111 passningar, xT 0.95StrandMathias Grundetjern: 80 passningar, xT 0.64GrundetjernMagnus Hee Westergaard: 77 passningar, xT -0.16WestergaardKolbeinn Birgir Finnsson: 66 passningar, xT 0.2Finnsson
    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
    Marius Elvius Kolind-Jørgensen: 163 passningar, xT 0.93Kolind-JørgensenJesper Isaksen: 156 passningar, xT 0.23IsaksenHeine Gikling Bruseth: 155 passningar, xT 0.36BrusethDan Peter Ulvestad: 129 passningar, xT 0.14UlvestadJulius Mar Juliusson: 118 passningar, xT 0.27JuliussonMax Williamsen: 97 passningar, xT 0.25WilliamsenWilfred George Igor: 78 passningar, xT 0.04IgorMichael Lansing: 75 passningar, xT 0.24LansingJohn Shuguto Kitolano: 72 passningar, xT 0.32KitolanoDavid Tufekcic: 68 passningar, xT 0.44TufekcicLeander Alvheim: 48 passningar, xT -0.06Alvheim
    Vålerenga
    Aaron Kiil Olsen: 219 passningar, xT 0.11OlsenSebastian Jarl: 201 passningar, xT 0.36JarlCarl Lange: 163 passningar, xT 0.29LangeHakon Sjatil: 163 passningar, xT 0.65SjatilDennis Gjengaar: 135 passningar, xT 0.59GjengaarGhayas Zahid: 119 passningar, xT 0.82ZahidOscar Thore Hedvall: 113 passningar, xT 0.31HedvallPetter Strand: 111 passningar, xT 0.95StrandMathias Grundetjern: 80 passningar, xT 0.64GrundetjernMagnus Hee Westergaard: 77 passningar, xT -0.16WestergaardKolbeinn Birgir Finnsson: 66 passningar, xT 0.2Finnsson

    The teams in numbers

    PerformanceKristiansundVålerenga
    Points2029
    xPoints30.132.9
    xG per match1.31.7
    xGA per match21.7
    xG within 8s of winning the ball0.250.3
    xGA within 8s of losing the ball0.30.29
    Playing styleKristiansundVålerenga
    Build-up efficiency0.320.35
    Field tilt0.370.48
    xT per match0.771.3
    xTA per match1.61.2
    Won balls, offensive half2526
    Pressing intensity0.240.23
    Pressing efficiency0.250.29
    Pressing efficiency, offensive half0.210.28
    Entries into the box per match1016
    Entries into the box against1718
    Pass completion %0.730.75
    Pass completion % under pressure0.70.7
    Passes per match310364
    Passes against per match449391
    Switches of play per match25.223.8
    Long balls per match3433
    Set piecesKristiansundVålerenga
    xG from free kicks0.070.02
    Corners per match4.16.7
    Corners against per match6.56
    xG per corner0.030.03
    xGA per corner against0.030.03
    First touch, offensive corners %0.460.42
    First touch, defensive corners %0.70.57
    OtherKristiansundVålerenga
    Throw-in control0.660.73
    The goalkeepersMichael Lansing (Kristiansund)Oscar Thore Hedvall (Vålerenga)
    Saves4686
    Save %64%65%
    xG prevented51%48%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Hela spelschemat med svårighetsgrad per match: Kristiansund spelschemaVålerenga spelschema

    Frequently asked questions

    Who wins Kristiansund vs Vålerenga according to our model?

    The model gives Vålerenga a 44% win probability. Full 1X2 picture: Kristiansund 31%, draw 25%, Vålerenga 44%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 59% according to the model.

    How many goals are expected in Kristiansund vs Vålerenga?

    The model expects 1.25 goals (xG) for Kristiansund and 1.73 for Vålerenga, 2.98 in total.

    What does the model say about double chance?

    Kristiansund or draw (1X) 56%, Vålerenga or draw (X2) 69% and no draw (12) 75%.

    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.