Norwegian Eliteserien5°16 km/h

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    BrannBrannPossession & high press
    vs
    VikingVikingPossession & high press
    The model's lean: 2 · Viking (48%)Best value by the model: Under 2,5 @ 2.85 (+15 %)

    Brann vs Viking · Norwegian Eliteserien

    1 · Brann 29%X 23%48% Viking · 2

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    Analysis: Brann – Viking

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

    Viking's attacking prowess is undeniable, with the team finding the net in ten consecutive league matches. This offensive consistency plays a critical role as they take on Brann, whose home fortress has seen them win 61% of their matches historically but faces a stern test. The visitors' ability to consistently score, paired with their favorable head-to-head record, albeit from a small sample size, suggests a strategic advantage.

    Brann's approach of possession and high pressing mirrors that of their opponents, setting the stage for an intense midfield battle. However, the hosts trail in expected goals with 1.35 compared to Viking's 1.73, highlighting their challenge to convert possession into quality chances. The expected goals against (xGA) further tilt the balance toward the visitors, suggesting that Viking's defense may better withstand the pressure, conceding an average of 1.3 goals per match to Brann's 1.6.

    Weather conditions, notably 22.5 mm of rain, could play a role in tempering the goal tally, yet this is already accounted for in the model's predictions. The model forecasts a 60% chance of over 2.5 goals, reflecting the historically high-scoring nature of this fixture, which averages 3.2 goals per meeting.

    Despite Brann's strong home record, the model's probabilities favor Viking with a 48% chance of victory. The most likely scorelines suggest a narrow edge, with 1-1 and 1-2 being prominent outcomes. Notably, the odds from LeoVegas present value on an away win at 2.15, offering a 3% edge. Simultaneously, the under 3.5 goals market at odds of 1.727 provides an even greater value, with the model rating it at a 63% likelihood, which translates to an 8% edge.

    In this clash, Viking's form and statistical edge suggest they are well-placed to capitalize, potentially emerging with a 1-2 victory. The betting value aligns with the under 3.5 goals scenario, a sensible stake given the conditions and both teams' profiles.

    BrannBrann
    Form WDLLW
    League ranking xG #4xGA #8xT #3xP/match #11Points #7
    Key players
    • Noah HolmFxG 0.48 · xT 0.04
    • Niklas CastroLWxG 0.27 · xT 0.45
    • Joachim SoltvedtLWBxG 0.21 · xT 0.36
    VikingViking
    Form LWDWW
    League ranking xG #2xGA #3xT #2xP/match #2Points #1
    Key players
    • Zlatko TripicLWxG 0.27 · xT 0.70
    • Edvin AustboLWxG 0.23 · xT 0.19
    • Simen Kvia EgeskogFxG 0.20 · xT 0.03

    Match prediction: Brann – Viking

    Predicted score matrix

    Viking →
    Brann →
    0
    1
    2
    3
    4+
    0
    0–04.9%
    0–17.6%
    0–26.9%
    0–34.0%
    0–4+2.5%
    1
    1–05.9%
    1–111.0%
    1–29.3%
    1–35.4%
    1–4+3.4%
    2
    2–04.2%
    2–17.2%
    2–26.3%
    2–33.6%
    2–4+2.3%
    3
    3–01.9%
    3–13.3%
    3–22.8%
    3–31.6%
    3–4+1.1%
    4+
    4+–00.9%
    4+–11.5%
    4+–21.3%
    4+–30.7%
    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. 3.0-18%
    4. 4.2-17%
    5. 5.0-27%
    Expected goals
    1,35–1,73
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,1
    Under 2,540%
    @2.85EV+12%
    Over 2,560%
    @1.44

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Viking to win48%
    • Over 1.5 goals82%

    Combined probability

    38%

    Fair odds

    2.60

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

    02 · 3 legs

    Balanced

    • Viking to win48%
    • Over 2.5 goals60%
    • Peter Buch Christiansen to score22%

    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 score61%
    • Over 2.5 goals60%
    • Noah Emmanuel Jean Holm to score29%
    • Joe Zen Robert Bell 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+).

    • Under 2.540% probability@2.85NordicbetEV+15%reference odds
    • Under 2.540% probability@2.78BetsafeEV+12%reference odds
    • Under 1.518% probability@6.10NordicbetEV+12%reference odds
    Bookmaker1 · BrannX2 · Viking
    Betsafe2.853.85
    EV+ 6%
    2.22
    LeoVegas2.753.80
    EV+ 3%
    2.15
    Nordicbet2.883.90
    EV+ 8%
    2.25

    Odds updated 2 Oct, 19:36

    Odds movement

    10 %
    36 %31 %

    2.75 → 2.75

    X+1 %
    27 %22 %

    3.75 → 3.80

    20 %
    45 %40 %

    2.15 → 2.15

    LeoVegas · 2 recorded price levels · 02/10/2026 → 02/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

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

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

    Key facts

    • Viking FK dominate this fixture historically: 2 wins to 1 in 5 meetings.
    • A high-scoring fixture: 3.2 goals per meeting on average.
    • Viking FK have scored in 10 consecutive league matches.
    • Brann win 61% of their home matches all-time (41 played).
    xG & xGA per match — 3-game rolling average

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

    Brann
    Viking
    When goals are scored and conceded — 2026
    Brann (39–32)
    Viking (54–20)
    Pass networks

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

    Brann
    Joachim Soltvedt: 309 passningar, xT 1.87SoltvedtJakob Lungi Sørensen: 267 passningar, xT 0.42SørensenVetle Dragsnes: 255 passningar, xT 0.46DragsnesThore Pedersen: 244 passningar, xT 0.79PedersenFredrik Pallesen Knudsen: 230 passningar, xT 0.41KnudsenNiklas Castro: 199 passningar, xT 1.24CastroLeo Cornic: 113 passningar, xT 0.73CornicMathias Dyngeland: 110 passningar, xT 0.13DyngelandNeraysho Meritchio Kasanwirjo: 86 passningar, xT 0.37KasanwirjoKristall Máni Ingason: 84 passningar, xT 0.36IngasonNiklas Wassberg: 84 passningar, xT 0.08Wassberg
    Viking
    Gianni Stensness: 222 passningar, xT 0.57StensnessJoe Bell: 153 passningar, xT 0.15BellHenrik Falchener: 152 passningar, xT 0.15FalchenerZlatko Tripic: 148 passningar, xT 3.44TripicHenrik Heggheim: 146 passningar, xT 0.35HeggheimKristoffer Askildsen: 140 passningar, xT 0.75AskildsenVetle Auklend: 119 passningar, xT 0.45AuklendArild Ostbo: 114 passningar, xT 0.21OstboTobias Moi: 95 passningar, xT 0.49MoiHenrik Bjordal: 86 passningar, xT 0.95BjordalKristoffer Haugen: 79 passningar, xT 0.33Haugen
    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: 309 passningar, xT 1.87SoltvedtJakob Lungi Sørensen: 267 passningar, xT 0.42SørensenVetle Dragsnes: 255 passningar, xT 0.46DragsnesThore Pedersen: 244 passningar, xT 0.79PedersenFredrik Pallesen Knudsen: 230 passningar, xT 0.41KnudsenNiklas Castro: 199 passningar, xT 1.24CastroLeo Cornic: 113 passningar, xT 0.73CornicMathias Dyngeland: 110 passningar, xT 0.13DyngelandNeraysho Meritchio Kasanwirjo: 86 passningar, xT 0.37KasanwirjoKristall Máni Ingason: 84 passningar, xT 0.36IngasonNiklas Wassberg: 84 passningar, xT 0.08Wassberg
    Viking
    Gianni Stensness: 222 passningar, xT 0.57StensnessJoe Bell: 153 passningar, xT 0.15BellHenrik Falchener: 152 passningar, xT 0.15FalchenerZlatko Tripic: 148 passningar, xT 3.44TripicHenrik Heggheim: 146 passningar, xT 0.35HeggheimKristoffer Askildsen: 140 passningar, xT 0.75AskildsenVetle Auklend: 119 passningar, xT 0.45AuklendArild Ostbo: 114 passningar, xT 0.21OstboTobias Moi: 95 passningar, xT 0.49MoiHenrik Bjordal: 86 passningar, xT 0.95BjordalKristoffer Haugen: 79 passningar, xT 0.33Haugen

    The teams in numbers

    PerformanceBrannViking
    Points2950
    xPoints26.136.3
    xG per match1.82.4
    xGA per match1.61.3
    xG within 8s of winning the ball0.350.56
    xGA within 8s of losing the ball0.230.19
    Playing styleBrannViking
    Build-up efficiency0.330.34
    Field tilt0.650.61
    xT per match1.61.7
    xTA per match1.10.96
    Won balls, offensive half3030
    Pressing intensity0.240.22
    Pressing efficiency0.330.29
    Pressing efficiency, offensive half0.340.25
    Entries into the box per match2118
    Entries into the box against1412
    Pass completion %0.760.75
    Pass completion % under pressure0.710.71
    Passes per match433377
    Passes against per match283355
    Switches of play per match28.228
    Long balls per match3737
    Set piecesBrannViking
    xG from free kicks0.060.08
    Corners per match6.67
    Corners against per match5.15.4
    xG per corner0.030.04
    xGA per corner against0.030.02
    First touch, offensive corners %0.430.37
    First touch, defensive corners %0.590.61
    OtherBrannViking
    Throw-in control0.70.73
    The goalkeepersMathias Dyngeland (Brann)Arild Ostbo (Viking)
    Saves4029
    Save %66%78%
    xG prevented45%79%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Brann vs Viking according to our model?

    The model gives Viking a 48% win probability. Full 1X2 picture: Brann 29%, draw 23%, Viking 48%.

    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 61% 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.