Norwegian Eliteserien6°7 km/h

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    VålerengaVålerengaBalanced & physical
    3–1
    BrannBrannPossession & high press
    The model's lean: 2 · Brann (40%)Best value by the model: Under 0,5 @ 26.00 (+24 %)

    Vålerenga vs Brann · Norwegian Eliteserien

    1 · Vålerenga 35%X 24%40% Brann · 2

    Prediction summary

    Final score 3–1. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Vålerenga vs Brann (Norwegian Eliteserien, Sunday, 18 October 2026): Vålerenga win 35%, draw 24%, Brann win 40%. Expected goals (xG): Vålerenga 1.50, Brann 1.61. Most likely score: 1-1 (11%). Over 2.5 goals 60%, both teams to score 62%. Double chance: Vålerenga or draw 60%, Brann or draw 65%. Prediction updated Friday, 9 October 2026.

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    Analysis: Vålerenga – Brann

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    The standout number here is the 60% probability for over 2.5 goals in the Vålerenga vs Brann clash. However, a closer look reveals a potential undervaluation of the defensive sides. While scoring might be expected, both teams' expected goals against (xGA) sit at 1.6, suggesting they are equally capable of keeping things tight, aligning with Vålerenga's physical style against Brann's high press.

    Historically, Brann edges the head-to-head with two wins in three encounters, but this is a small sample that shouldn't overshadow the current form. The visitors hold a points advantage, yet Vålerenga's expected points tell a different story with a slight edge, indicating they may have been unlucky this season. This tension highlights a match that could swing on small margins, particularly with Brann's slight model-backed favor at 40% win probability.

    The most compelling angle here is the value in betting on a lower-scoring affair. Despite the dominant narrative of an open game, both Nordicbet and Betsafe offer enticing odds on under 2.5 goals. Nordicbet's odds at 3.0 present the most appealing value with a 20% edge according to the model, while the under 1.5 at 6.5 could tempt those expecting a truly cagey duel. This is where the true opportunity lies.

    VålerengaVålerenga
    Form LDLDL
    League ranking xG #7xGA #8xT #5xP/match #7Points #13
    Key players
    • Henrik BjordalRWxG 0.20 · xT 0.18
    • Carl LangeCMxG 0.16 · xT 0.11
    • Sebastian JarlCBxG 0.08 · xT 0.13
    BrannBrann
    Form DLLWL
    League ranking xG #4xGA #7xT #3xP/match #10Points #7
    Key players
    • Fredrik Pallesen KnudsenCBxG 0.09 · xT 0.06
    • Joachim SoltvedtLWBxG 0.22 · xT 0.40
    • Denzel De RoeveRBxG 0.10 · xT 0.33
    Final score
    3 – 1
    The model missed the outcome
    Predicted probabilities: Vålerenga 35% · Draw 24% · Brann 40%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - BrannBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,65fair 7,21-22 %
    Miss
    Matchresultat - VålerengaBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 4,53fair 8,35-46 %
    Hit

    Match prediction: Vålerenga – Brann

    Predicted score matrix

    Brann →
    Vålerenga →
    0
    1
    2
    3
    4+
    0
    0–04.8%
    0–16.9%
    0–25.8%
    0–33.1%
    0–4+1.8%
    1
    1–06.4%
    1–111.1%
    1–28.7%
    1–34.7%
    1–4+2.7%
    2
    2–05.0%
    2–18.1%
    2–26.5%
    2–33.5%
    2–4+2.0%
    3
    3–02.5%
    3–14.0%
    3–23.2%
    3–31.7%
    3–4+1.0%
    4+
    4+–01.3%
    4+–12.1%
    4+–21.7%
    4+–30.9%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-29%
    3. 3.2-18%
    4. 4.0-17%
    5. 5.2-27%
    Expected goals
    1,50–1,61
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,1
    Under 2,540%
    @3.00EV+18%
    Over 2,560%
    @1.40

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Brann or draw (X2)65%
    • Over 1.5 goals82%

    Combined probability

    53%

    Fair odds

    1.88

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

    02 · 3 legs

    Balanced

    • Double chance Brann or draw (X2)65%
    • Over 2.5 goals60%
    • Noah Emmanuel Jean Holm to score29%

    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 score62%
    • Over 2.5 goals60%
    • Noah Emmanuel Jean Holm to score29%
    • Magnus Hee Westergaard 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

    The model's value spots

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

    • Under 0.55% probability@26.00BetsafeEV+24%reference odds
    • Under 0.55% probability@26.00NordicbetEV+24%reference odds
    • Under 2.540% probability@3.00NordicbetEV+20%reference odds
    Bookmaker1 · VålerengaX2 · Brann
    Betsafe2.223.85
    EV+ 15%
    2.85
    LeoVegas2.203.85
    EV+ 9%
    2.70
    Nordicbet2.253.90
    EV+ 16%
    2.88
    Pinnacle2.284.04
    EV+ 17%
    2.89

    Odds updated 18 Oct, 13:36

    Odds movement

    Market signal

    The market has moved clearly towards a Vålerenga win since 16 October — the odds have shortened from 2.44 to 2.28 (−7%).

    1-7 %
    43 %38 %

    2.44 → 2.28

    X+3 %
    27 %22 %

    3.91 → 4.04

    2+11 %
    38 %33 %

    2.60 → 2.89

    Pinnacle · 7 recorded price levels · 16/10/2026 → 18/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    3 matches
    Vålerenga 1Draw 0Brann 2
    Goals: 7–9 (⌀ 5,3)

    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
    Brann
    When goals are scored and conceded — 2026
    Vålerenga (35–45)
    Brann (39–34)
    Pass networks

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

    Vålerenga
    Aaron Kiil Olsen: 297 passningar, xT 0.62OlsenSebastian Jarl: 250 passningar, xT 0.49JarlHakon Sjatil: 233 passningar, xT 0.99SjatilCarl Lange: 208 passningar, xT 0.41LangeKolbeinn Birgir Finnsson: 197 passningar, xT 0.53FinnssonMagnus Hee Westergaard: 148 passningar, xT -0.16WestergaardOscar Thore Hedvall: 130 passningar, xT 0.35HedvallGhayas Zahid: 122 passningar, xT 0.85ZahidDennis Gjengaar: 105 passningar, xT 0.2GjengaarPetter Strand: 83 passningar, xT 0.28StrandLucas Janus Ravn-Haren: 66 passningar, xT 0.87Ravn-Haren
    Brann
    Fredrik Pallesen Knudsen: 317 passningar, xT 0.53KnudsenJakob Lungi Sørensen: 301 passningar, xT 0.8SørensenJoachim Soltvedt: 290 passningar, xT 1.67SoltvedtThore Pedersen: 258 passningar, xT 0.78PedersenVetle Dragsnes: 219 passningar, xT 0.41DragsnesNeraysho Meritchio Kasanwirjo: 214 passningar, xT 0.76KasanwirjoNiklas Castro: 131 passningar, xT 0.63CastroLeo Cornic: 113 passningar, xT 0.73CornicEggert Aron Guðmundsson: 98 passningar, xT 0.73GuðmundssonMathias Dyngeland: 87 passningar, xT 0.1DyngelandNiklas Wassberg: 76 passningar, xT 0.15Wassberg
    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
    Aaron Kiil Olsen: 297 passningar, xT 0.62OlsenSebastian Jarl: 250 passningar, xT 0.49JarlHakon Sjatil: 233 passningar, xT 0.99SjatilCarl Lange: 208 passningar, xT 0.41LangeKolbeinn Birgir Finnsson: 197 passningar, xT 0.53FinnssonMagnus Hee Westergaard: 148 passningar, xT -0.16WestergaardOscar Thore Hedvall: 130 passningar, xT 0.35HedvallGhayas Zahid: 122 passningar, xT 0.85ZahidDennis Gjengaar: 105 passningar, xT 0.2GjengaarPetter Strand: 83 passningar, xT 0.28StrandLucas Janus Ravn-Haren: 66 passningar, xT 0.87Ravn-Haren
    Brann
    Fredrik Pallesen Knudsen: 317 passningar, xT 0.53KnudsenJakob Lungi Sørensen: 301 passningar, xT 0.8SørensenJoachim Soltvedt: 290 passningar, xT 1.67SoltvedtThore Pedersen: 258 passningar, xT 0.78PedersenVetle Dragsnes: 219 passningar, xT 0.41DragsnesNeraysho Meritchio Kasanwirjo: 214 passningar, xT 0.76KasanwirjoNiklas Castro: 131 passningar, xT 0.63CastroLeo Cornic: 113 passningar, xT 0.73CornicEggert Aron Guðmundsson: 98 passningar, xT 0.73GuðmundssonMathias Dyngeland: 87 passningar, xT 0.1DyngelandNiklas Wassberg: 76 passningar, xT 0.15Wassberg

    The teams in numbers

    PerformanceVålerengaBrann
    Points2329
    xPoints29.627.4
    xG per match1.61.9
    xGA per match1.61.6
    xG within 8s of winning the ball0.290.38
    xGA within 8s of losing the ball0.290.22
    Playing styleVålerengaBrann
    Build-up efficiency0.350.33
    Field tilt0.520.67
    xT per match1.31.7
    xTA per match1.11.1
    Won balls, offensive half2630
    Pressing intensity0.230.24
    Pressing efficiency0.30.33
    Pressing efficiency, offensive half0.290.35
    Entries into the box per match1623
    Entries into the box against1614
    Pass completion %0.750.76
    Pass completion % under pressure0.70.71
    Passes per match376445
    Passes against per match373276
    Switches of play per match24.728.8
    Long balls per match3337
    Set piecesVålerengaBrann
    xG from free kicks0.010.05
    Corners per match76.9
    Corners against per match5.75
    xG per corner0.030.03
    xGA per corner against0.030.03
    First touch, offensive corners %0.420.45
    First touch, defensive corners %0.570.59
    OtherVålerengaBrann
    Throw-in control0.730.71
    The goalkeepersOscar Thore Hedvall (Vålerenga)Mathias Dyngeland (Brann)
    Saves7140
    Save %61%66%
    xG prevented45%45%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Hela spelschemat med svårighetsgrad per match: Vålerenga spelschemaBrann spelschema

    Frequently asked questions

    Who wins Vålerenga vs Brann according to our model?

    The model gives Brann a 40% win probability. Full 1X2 picture: Vålerenga 35%, draw 24%, Brann 40%.

    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 60% and under at 40%.

    Will both teams score?

    The probability of both teams scoring is 62% according to the model.

    How many goals are expected in Vålerenga vs Brann?

    The model expects 1.50 goals (xG) for Vålerenga and 1.61 for Brann, 3.11 in total.

    What does the model say about double chance?

    Vålerenga or draw (1X) 60%, Brann or draw (X2) 65% and no draw (12) 76%.

    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.