Norwegian Eliteserien9°4,5 mm23 km/h

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    VålerengaVålerengaLow block & direct
    vs
    TromsøTromsøPossession control
    The model's lean: 2 · Tromsø (43%)

    Vålerenga vs Tromsø · Norwegian Eliteserien

    1 · Vålerenga 33%X 23%43% Tromsø · 2

    Prediction summary

    BetBuilders AI model prediction for Vålerenga vs Tromsø (Norwegian Eliteserien, Saturday, 24 October 2026): Vålerenga win 33%, draw 23%, Tromsø win 43%. Expected goals (xG): Vålerenga 1.39, Tromsø 1.59. Most likely score: 1-1 (12%). Over 2.5 goals 57%, both teams to score 60%. Double chance: Vålerenga or draw 57%, Tromsø or draw 67%. Prediction updated Friday, 16 October 2026.

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    Analysis: Vålerenga – Tromsø

    Marcus Johansson · · Analysis from the match model · How the predictions work

    TEXT: Tromsø's edge in both points and expected points this season paints a clear picture: they are the team to beat in this matchup. With a 43% model probability of victory against Vålerenga's 33%, the visitors hold a statistical advantage that is difficult to ignore. Tromsø’s control over possession should allow them to dictate the pace, exploiting the hosts' preference for a low defensive line and quick transitions. This clash of styles could lead to a fascinating tactical battle, but Tromsø's ability to manage the game suggests they should emerge on top.

    Despite the rain expected to fall, which traditionally suppresses scoring, the model still leans towards a 57% probability for over 2.5 goals and a 60% chance that both teams will find the net. Vålerenga's direct approach, combined with Tromsø's more controlled play, supports the notion of goals on both sides, even if the conditions slightly depress the overall count.

    The small head-to-head sample since 2021, with just a single Tromsø win, shouldn’t weigh heavily against the broader form indicators. Vålerenga’s defensive vulnerabilities, evidenced by their xGA of 1.7 per match compared to Tromsø's more robust 1.4, are likely to be exposed by Tromsø’s superior attacking output. The visitors' edge in xG per match (1.8 to Vålerenga’s 1.7) further underscores their capacity to capitalize on these defensive gaps.

    The model’s most likely scoreline is actually a 1-1 draw (12%), narrowly ahead of 1-2 (9%) and 2-1 (8%), reflecting the tight statistical margins despite Tromsø’s overall edge. This potent combination of data-driven insights and current form makes Tromsø a compelling prospect to take three points, though the scoreline picture remains close.

    VålerengaVålerenga
    Form DLDLW
    League ranking xG #7xGA #9xT #5xP/match #7Points #11
    Key players
    • Henrik BjordalRWxG 0.20 · xT 0.18
    • Carl LangeCMxG 0.16 · xT 0.11
    • Sebastian JarlCBxG 0.10 · xT 0.12
    TromsøTromsø
    Form LLWDD
    League ranking xG #6xGA #4xT #6xP/match #3Points #4
    Key players
    • David EdvardssonCDMxG 0.05 · xT 0.06
    • Leon HienCBxG 0.07 · xT 0.05
    • Vetle SkjærvikCBxG 0.11 · xT 0.20

    Match prediction: Vålerenga – Tromsø

    Predicted score matrix

    Tromsø →
    Vålerenga →
    0
    1
    2
    3
    4+
    0
    0–05.4%
    0–17.7%
    0–26.4%
    0–33.4%
    0–4+1.9%
    1
    1–06.7%
    1–111.6%
    1–28.9%
    1–34.7%
    1–4+2.7%
    2
    2–04.9%
    2–17.8%
    2–26.2%
    2–33.3%
    2–4+1.9%
    3
    3–02.3%
    3–13.6%
    3–22.9%
    3–31.5%
    3–4+0.9%
    4+
    4+–01.1%
    4+–11.7%
    4+–21.4%
    4+–30.7%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.2-18%
    4. 4.0-18%
    5. 5.1-07%
    Expected goals
    1,39–1,59
    Both teams to score
    60%

    Over/under goals

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

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    01 · 2 legs

    Safe

    • Double chance Tromsø or draw (X2)67%
    • Over 1.5 goals80%

    Combined probability

    54%

    Fair odds

    1.86

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

    02 · 3 legs

    Balanced

    • Double chance Tromsø or draw (X2)67%
    • Over 2.5 goals57%
    • Heine Åsen Larsen to score20%

    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 score60%
    • Over 2.5 goals57%
    • Mathias Grundetjern to score27%
    • Petter Dahle Strand 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

    1 matches
    Vålerenga 0Draw 0Tromsø 1
    Goals: 0–4 (⌀ 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).

    Vålerenga
    Tromsø
    When goals are scored and conceded — 2026
    Vålerenga (38–46)
    Tromsø (42–31)
    Pass networks

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

    Vålerenga
    Sebastian Jarl: 273 passningar, xT 0.54JarlAaron Kiil Olsen: 264 passningar, xT 0.64OlsenHakon Sjatil: 224 passningar, xT 0.87SjatilCarl Lange: 191 passningar, xT 0.48LangeKolbeinn Birgir Finnsson: 147 passningar, xT 0.43FinnssonDennis Gjengaar: 135 passningar, xT 0.52GjengaarGhayas Zahid: 124 passningar, xT 0.85ZahidOscar Thore Hedvall: 114 passningar, xT 0.29HedvallMagnus Hee Westergaard: 109 passningar, xT -0.15WestergaardPetter Strand: 92 passningar, xT 0.39StrandMathias Grundetjern: 64 passningar, xT 0.48Grundetjern
    Tromsø
    Isak Vadebu: 330 passningar, xT 0.44VadebuLeon Hien: 250 passningar, xT 0.19HienVetle Skjærvik: 236 passningar, xT 0.56SkjærvikAlexander Rickard Chadchai Thongla-Iad Warneryd: 190 passningar, xT 0.37WarnerydRuben Yttergard Jenssen: 164 passningar, xT 1.19JenssenSander Havik Innvaer: 162 passningar, xT 0.28InnvaerJakob Haugaard: 145 passningar, xT 0.36HaugaardDavid Edvardsson: 141 passningar, xT 0.17EdvardssonTroy Engseth Nyhammer: 131 passningar, xT 0.23NyhammerMorten Bjorlo: 130 passningar, xT 0.38BjorloCasper Oyvann: 84 passningar, xT 0.06Oyvann
    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.

    Vålerenga
    Sebastian Jarl: 273 passningar, xT 0.54JarlAaron Kiil Olsen: 264 passningar, xT 0.64OlsenHakon Sjatil: 224 passningar, xT 0.87SjatilCarl Lange: 191 passningar, xT 0.48LangeKolbeinn Birgir Finnsson: 147 passningar, xT 0.43FinnssonDennis Gjengaar: 135 passningar, xT 0.52GjengaarGhayas Zahid: 124 passningar, xT 0.85ZahidOscar Thore Hedvall: 114 passningar, xT 0.29HedvallMagnus Hee Westergaard: 109 passningar, xT -0.15WestergaardPetter Strand: 92 passningar, xT 0.39StrandMathias Grundetjern: 64 passningar, xT 0.48Grundetjern
    Tromsø
    Isak Vadebu: 330 passningar, xT 0.44VadebuLeon Hien: 250 passningar, xT 0.19HienVetle Skjærvik: 236 passningar, xT 0.56SkjærvikAlexander Rickard Chadchai Thongla-Iad Warneryd: 190 passningar, xT 0.37WarnerydRuben Yttergard Jenssen: 164 passningar, xT 1.19JenssenSander Havik Innvaer: 162 passningar, xT 0.28InnvaerJakob Haugaard: 145 passningar, xT 0.36HaugaardDavid Edvardsson: 141 passningar, xT 0.17EdvardssonTroy Engseth Nyhammer: 131 passningar, xT 0.23NyhammerMorten Bjorlo: 130 passningar, xT 0.38BjorloCasper Oyvann: 84 passningar, xT 0.06Oyvann

    The teams in numbers

    PerformanceVålerengaTromsø
    Points2640
    xPoints31.736.5
    xG per match1.71.8
    xGA per match1.71.4
    xG within 8s of winning the ball0.30.36
    xGA within 8s of losing the ball0.30.22
    Playing styleVålerengaTromsø
    Build-up efficiency0.350.31
    Field tilt0.50.5
    xT per match1.31.2
    xTA per match1.10.97
    Won balls, offensive half2626
    Pressing intensity0.230.23
    Pressing efficiency0.290.26
    Pressing efficiency, offensive half0.280.25
    Entries into the box per match1616
    Entries into the box against1713
    Pass completion %0.750.79
    Pass completion % under pressure0.70.73
    Passes per match369436
    Passes against per match381427
    Switches of play per match24.222.9
    Long balls per match3342
    Set piecesVålerengaTromsø
    xG from free kicks0.030.07
    Corners per match6.95.1
    Corners against per match5.84.2
    xG per corner0.030.04
    xGA per corner against0.030.04
    First touch, offensive corners %0.420.36
    First touch, defensive corners %0.570.53
    OtherVålerengaTromsø
    Throw-in control0.730.76
    The goalkeepersOscar Thore Hedvall (Vålerenga)Jakob Haugaard (Tromsø)
    Saves7753
    Save %63%68%
    xG prevented46%46%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Vålerenga vs Tromsø according to our model?

    The model gives Tromsø a 43% win probability. Full 1X2 picture: Vålerenga 33%, draw 23%, Tromsø 43%.

    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 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 60% according to the model.

    How many goals are expected in Vålerenga vs Tromsø?

    The model expects 1.39 goals (xG) for Vålerenga and 1.59 for Tromsø, 2.98 in total.

    What does the model say about double chance?

    Vålerenga or draw (1X) 57%, Tromsø or draw (X2) 67% and no draw (12) 77%.

    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.