Norwegian Eliteserien9°27 km/h

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    BrannBrannPossession & high press
    vs
    MoldeMoldePossession & high press
    The model's lean: 1 · Brann (44%)

    Brann vs Molde · Norwegian Eliteserien

    1 · Brann 44%X 22%33% Molde · 2

    Prediction summary

    BetBuilders AI model prediction for Brann vs Molde (Norwegian Eliteserien, Saturday, 24 October 2026): Brann win 44%, draw 22%, Molde win 33%. Expected goals (xG): Brann 1.71, Molde 1.50. Most likely score: 1-1 (11%). Over 2.5 goals 62%, both teams to score 64%. Double chance: Brann or draw 67%, Molde or draw 56%. Prediction updated Friday, 16 October 2026.

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    Analysis: Brann – Molde

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

    The numbers present a compelling case: despite Molde's historical dominance in this fixture, Brann appears primed to challenge them. The model gives the hosts a 44% chance to win, with Molde at 33% — a clear lean toward Brann. Both teams deploy a high press and value possession, setting the stage for a potentially dynamic and open encounter. The match is projected to be tight, with expected goals close and the most likely outcomes clustered around narrow margins.

    Brann's home advantage is significant. Winning 60% of their home matches historically suggests they are formidable hosts. However, Molde's recent form is daunting, having scored in 15 consecutive league games. This offensive consistency, coupled with their superior season-long xG and xGA, underscores why they currently hold the edge in underlying numbers, even if it doesn't fully explain their head-to-head record.

    While Molde leads head-to-head with four wins out of five since 2021, the sample size is small and thus less predictive than current form and expected goals. Both teams to score is priced at 64%, reflecting the attacking strengths and vulnerabilities on both sides. The over 2.5 goals market sits at 62%, suggesting goals could flow given the attacking profiles and past high-scoring meetings, averaging 3.4 goals.

    Brann's competitive edge may be their resilience at home, aligning with the model's probability favoring them. Yet, Molde's firepower ensures they remain a credible threat, which complicates a straightforward prediction. The match could sway either way, but a 2-1 scoreline in Brann's favor feels plausible, given their home strength and slight model lean.

    For those seeking value, backing Brann with a narrow win at odds reflecting their model-favored 44% chance offers a potential edge. With both teams likely to score and the prospect of several goals, the matchup demands close attention.

    BrannBrann
    Form LLWLL
    League ranking xG #4xGA #8xT #2xP/match #11Points #7
    Key players
    • Fredrik Pallesen KnudsenCBxG 0.10 · xT 0.06
    • Joachim SoltvedtLWBxG 0.21 · xT 0.42
    • Denzel De RoeveRBxG 0.10 · xT 0.33
    MoldeMolde
    Form WWLDW
    League ranking xG #3xGA #2xT #4xP/match #5Points #3
    Key players
    • Eirik HestadRWxG 0.34 · xT 0.09
    • Daniel DagaCDMxG 0.23 · xT 0.05
    • Sivert Sira HansenCBxG 0.06 · xT 0.12

    Match prediction: Brann – Molde

    Predicted score matrix

    Molde →
    Brann →
    0
    1
    2
    3
    4+
    0
    0–04.3%
    0–15.8%
    0–24.5%
    0–32.3%
    0–4+1.2%
    1
    1–06.6%
    1–110.7%
    1–27.8%
    1–33.9%
    1–4+2.0%
    2
    2–05.9%
    2–18.8%
    2–26.6%
    2–33.3%
    2–4+1.7%
    3
    3–03.4%
    3–15.0%
    3–23.8%
    3–31.9%
    3–4+1.0%
    4+
    4+–02.1%
    4+–13.2%
    4+–22.4%
    4+–31.2%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-28%
    4. 4.2-27%
    5. 5.1-07%
    Expected goals
    1,71–1,50
    Both teams to score
    64%

    Over/under goals

    Expected goals: 3,2
    Under 2,538%
    –
    Over 2,562%
    –

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    01 · 2 legs

    Safe

    • Double chance Brann or draw (1X)66%
    • Over 1.5 goals83%

    Combined probability

    56%

    Fair odds

    1.80

    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 (1X)66%
    • Over 2.5 goals62%
    • Kristall Máni Ingason to score19%

    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 score64%
    • Over 2.5 goals62%
    • Eirik Hestad to score24%
    • Emil Varhaugvik Breivik 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

    5 matches
    Brann 1Draw 0Molde 4
    Goals: 4–13 (⌀ 3,4)

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

    Key facts

    • Molde dominate this fixture historically: 4 wins to 1 in 5 meetings.
    • A high-scoring fixture: 3.4 goals per meeting on average.
    • Molde have scored in 15 consecutive league matches.
    • Brann win 60% of their home matches all-time (42 played).
    xG & xGA per match — 3-game rolling average

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

    Brann
    Molde
    When goals are scored and conceded — 2026
    Brann (40–37)
    Molde (52–35)
    Pass networks

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

    Brann
    Joachim Soltvedt: 333 passningar, xT 1.87SoltvedtJakob Lungi Sørensen: 318 passningar, xT 0.92SørensenFredrik Pallesen Knudsen: 290 passningar, xT 0.54KnudsenThore Pedersen: 282 passningar, xT 0.82PedersenNeraysho Meritchio Kasanwirjo: 237 passningar, xT 0.96KasanwirjoVetle Dragsnes: 191 passningar, xT 0.44DragsnesNiklas Castro: 154 passningar, xT 1.06CastroNiklas Wassberg: 139 passningar, xT 0.26WassbergEggert Aron Guðmundsson: 123 passningar, xT 0.61GuðmundssonLeo Cornic: 94 passningar, xT 0.55CornicSimen Vidtun Nilsen: 87 passningar, xT 0.18Nilsen
    Molde
    Fredrik Kristensen Dahl: 294 passningar, xT 0.34DahlMats Moller Daehli: 221 passningar, xT 0.44DaehliSondre Granaas: 214 passningar, xT 0.87GranaasMartin Linnes: 207 passningar, xT 1.63LinnesEmil Breivik: 193 passningar, xT 0.25BreivikNiklas Ødegård: 183 passningar, xT 0.46ØdegårdDaniel Daga: 171 passningar, xT 0.2DagaEirik Haugan: 166 passningar, xT 0.32HauganAlbert Posiadała: 164 passningar, xT 0.07PosiadałaMathias Johan Fjørtoft Løvik: 150 passningar, xT 0.44LøvikSamukelo Kabini: 147 passningar, xT 0.53Kabini
    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.

    Brann
    Joachim Soltvedt: 333 passningar, xT 1.87SoltvedtJakob Lungi Sørensen: 318 passningar, xT 0.92SørensenFredrik Pallesen Knudsen: 290 passningar, xT 0.54KnudsenThore Pedersen: 282 passningar, xT 0.82PedersenNeraysho Meritchio Kasanwirjo: 237 passningar, xT 0.96KasanwirjoVetle Dragsnes: 191 passningar, xT 0.44DragsnesNiklas Castro: 154 passningar, xT 1.06CastroNiklas Wassberg: 139 passningar, xT 0.26WassbergEggert Aron Guðmundsson: 123 passningar, xT 0.61GuðmundssonLeo Cornic: 94 passningar, xT 0.55CornicSimen Vidtun Nilsen: 87 passningar, xT 0.18Nilsen
    Molde
    Fredrik Kristensen Dahl: 294 passningar, xT 0.34DahlMats Moller Daehli: 221 passningar, xT 0.44DaehliSondre Granaas: 214 passningar, xT 0.87GranaasMartin Linnes: 207 passningar, xT 1.63LinnesEmil Breivik: 193 passningar, xT 0.25BreivikNiklas Ødegård: 183 passningar, xT 0.46ØdegårdDaniel Daga: 171 passningar, xT 0.2DagaEirik Haugan: 166 passningar, xT 0.32HauganAlbert Posiadała: 164 passningar, xT 0.07PosiadałaMathias Johan Fjørtoft Løvik: 150 passningar, xT 0.44LøvikSamukelo Kabini: 147 passningar, xT 0.53Kabini

    The teams in numbers

    PerformanceBrannMolde
    Points2940
    xPoints28.135.9
    xG per match1.92
    xGA per match1.71.3
    xG within 8s of winning the ball0.380.32
    xGA within 8s of losing the ball0.230.3
    Playing styleBrannMolde
    Build-up efficiency0.330.34
    Field tilt0.670.63
    xT per match1.71.3
    xTA per match1.11.1
    Won balls, offensive half3026
    Pressing intensity0.240.23
    Pressing efficiency0.330.31
    Pressing efficiency, offensive half0.350.27
    Entries into the box per match2317
    Entries into the box against1413
    Pass completion %0.770.81
    Pass completion % under pressure0.720.76
    Passes per match450489
    Passes against per match273308
    Switches of play per match2926.4
    Long balls per match3732
    Set piecesBrannMolde
    xG from free kicks0.070.1
    Corners per match6.95.5
    Corners against per match54.5
    xG per corner0.030.04
    xGA per corner against0.040.03
    First touch, offensive corners %0.450.35
    First touch, defensive corners %0.590.57
    OtherBrannMolde
    Throw-in control0.710.72
    The goalkeepersMathias Dyngeland (Brann)Albert Posiadała (Molde)
    Saves4048
    Save %66%64%
    xG prevented45%49%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Brann vs Molde according to our model?

    The model gives Brann a 44% win probability. Full 1X2 picture: Brann 44%, draw 22%, Molde 33%.

    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 62% and under at 38%.

    Will both teams score?

    The probability of both teams scoring is 64% according to the model.

    How many goals are expected in Brann vs Molde?

    The model expects 1.71 goals (xG) for Brann and 1.50 for Molde, 3.21 in total.

    What does the model say about double chance?

    Brann or draw (1X) 67%, Molde or draw (X2) 56% and no draw (12) 78%.

    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.