Norwegian Eliteserien13°5,9 mm22 km/h

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    BrannBrannPossession control
    12
    LillestrømLillestrømPossession & high press
    The model's lean: 1 · Brann (50%)Best value by the model: 2 · Lillestrøm @ 4.37 (+17 %)

    BrannLillestrøm · Norwegian Eliteserien

    1 · Brann 50%X 24%27% Lillestrøm · 2

    Analysis: BrannLillestrøm

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

    With Brann's 50% win probability against Lillestrøm's 27%, the model leans toward a home victory despite an intriguing edge in xPoints favoring the visitors. Brann's possession control style should match interestingly against Lillestrøm's high press, but the rain might dampen both teams' attacking ambitions, already factored into the model's numbers.

    Head-to-head stats suggest Brann holds the upper hand, having won both encounters since 2021. But with only two matches in this sample, it weighs less in our assessment compared to the season's xG data. Brann's expected goals per match stand at 1.8, slightly ahead of Lillestrøm's 1.6, though the visitors concede less on average. It's a delicate balance, with the hosts having a historical 62% home win rate, yet this match feels tighter.

    The most likely scorelines of 1-1 and 2-1 indicate a close contest. While the probabilities show a 58% chance for over 2.5 goals and 59% for both teams to score, the weather might tip this toward fewer goals. The xG within 8 seconds of winning the ball slightly favors Brann, implying they might create more immediate threats.

    The standout angle here is the value in the under 2.5 goals market. Despite the 58% probability for over 2.5, betting odds suggest otherwise, offering an opportunity for savvy punters. With Nordicbet, Betsson, and Betsafe offering odds of 2.68, 2.65, and 2.62 respectively on under 2.5, they're pricing the under at a significant edge compared to the model's 42% likelihood.

    In a match where neither side seems poised to dominate, under 2.5 goals emerges as a sharp play, thanks to the generous odds provided by these bookmakers.

    BrannBrann
    Form WLWWD
    League ranking xG #3xGA #9xT #2xP/match #12Points #5
    Key players
    • Noah HolmFxG 0.47 · xT 0.05
    • Joachim SoltvedtLWBxG 0.21 · xT 0.37
    • Denzel De RoeveRBxG 0.10 · xT 0.30
    LillestrømLillestrøm
    Form LLLDL
    League ranking xG #7xGA #3xT #11xP/match #3Points #6
    Key players
    • Ruben GabrielsenCBxG 0.03 · xT 0.10
    • Lars RangerRWBxG 0.17 · xT 0.13
    • Salieu DrammehRWxG 0.25 · xT 0.16
    Final score
    12
    The model missed the outcome
    Predicted probabilities: Brann 50% · Draw 24% · Lillestrøm 27%

    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 4,27fair 6,03-29 %
    Miss
    Matchresultat - LillestrømBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 8,67fair 12,93-33 %
    Miss

    Match prediction: BrannLillestrøm

    Predicted score matrix

    Lillestrøm
    Brann
    0
    1
    2
    3
    4+
    0
    0–05.2%
    0–15.6%
    0–23.7%
    0–31.5%
    0–4+0.6%
    1
    1–08.4%
    1–111.0%
    1–26.6%
    1–32.7%
    1–4+1.1%
    2
    2–07.8%
    2–19.6%
    2–25.9%
    2–32.4%
    2–4+1.0%
    3
    3–04.7%
    3–15.8%
    3–23.5%
    3–31.5%
    3–4+0.6%
    4+
    4+–03.2%
    4+–13.9%
    4+–22.4%
    4+–31.0%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-110%
    3. 3.1-08%
    4. 4.2-08%
    5. 5.1-27%
    Expected goals
    1,801,23
    Both teams to score
    59%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    @2.68EV+9%
    Over 2,558%
    @1.49

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Brann to win50%
    • Over 1.5 goals81%

    Combined probability

    42%

    Fair odds

    2.38

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

    02 · 3 legs

    Balanced

    • Brann to win50%
    • Over 2.5 goals58%
    • Noah Emmanuel Jean Holm to score33%

    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 goals58%
    • Noah Emmanuel Jean Holm to score33%
    • Ulrik Yttergård Jenssen 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+).

    • 2 · Lillestrøm27% probability@4.37PinnacleEV+17%reference odds
    • Under 2.542% probability@2.68NordicbetEV+12%reference odds
    • Under 2.542% probability@2.65BetssonEV+11%reference odds
    Bookmaker1 · BrannX2 · Lillestrøm
    Betsafe1.853.85
    EV+ 6%
    3.95
    Betsson1.853.90
    EV+ 7%
    4.00
    Nordicbet1.853.90
    EV+ 7%
    4.00
    Pinnacle1.75
    EV+ 2%
    4.30
    EV+ 17%
    4.37

    Odds updated 5 Sept, 10:32

    Odds movement

    Market signal

    The market has moved clearly towards a Brann win since 31 August — the odds have shortened from 1.84 to 1.75 (−5%).

    1-5 %
    56 %51 %

    1.841.75

    X+6 %
    25 %20 %

    4.074.30

    2+15 %
    26 %21 %

    3.814.37

    Pinnacle · 10 recorded price levels · 31/08/2026 → 05/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Brann 2Draw 0Lillestrøm 0
    Goals: 41 (⌀ 2,5)

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

    Key facts

    • Brann win 62% of their home matches all-time (39 played).
    xG & xGA per match — 3-game rolling average

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

    Brann
    Lillestrøm
    When goals are scored and conceded 2026
    Brann (3627)
    Lillestrøm (2425)
    Pass networks

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

    Brann
    Joachim Soltvedt: 339 passningar, xT 2.23SoltvedtThore Pedersen: 253 passningar, xT 0.34PedersenJakob Lungi Sørensen: 227 passningar, xT 0.26SørensenVetle Dragsnes: 206 passningar, xT 0.33DragsnesFredrik Pallesen Knudsen: 204 passningar, xT 0.19KnudsenDenzel De Roeve: 189 passningar, xT 1.4RoeveNiklas Castro: 183 passningar, xT 1.75CastroMathias Dyngeland: 158 passningar, xT 0.1DyngelandFelix Horn Myhre: 106 passningar, xT -0.04MyhreKristian Eriksen: 98 passningar, xT 0.13EriksenNiklas Wassberg: 94 passningar, xT 0.02Wassberg
    Lillestrøm
    Ruben Gabrielsen: 297 passningar, xT 0.35GabrielsenStian Kristiansen: 275 passningar, xT 0.48KristiansenFrederik Elkaer: 212 passningar, xT 0.61ElkaerYlldren Ibrahimaj: 197 passningar, xT 0.25IbrahimajLars Ranger: 195 passningar, xT 0.36RangerKevin Krygard: 187 passningar, xT -0.06KrygardEspen Garnas: 144 passningar, xT 0.21GarnasPontus Jacob Ragne Dahlberg: 137 passningar, xT 0.39DahlbergGustav Nyheim: 92 passningar, xT 0.12NyheimWinston Robin Yaw Paintsil: 86 passningar, xT 0.17PaintsilVladimiro Etson António Félix: 71 passningar, xT 0.33Félix
    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: 339 passningar, xT 2.23SoltvedtThore Pedersen: 253 passningar, xT 0.34PedersenJakob Lungi Sørensen: 227 passningar, xT 0.26SørensenVetle Dragsnes: 206 passningar, xT 0.33DragsnesFredrik Pallesen Knudsen: 204 passningar, xT 0.19KnudsenDenzel De Roeve: 189 passningar, xT 1.4RoeveNiklas Castro: 183 passningar, xT 1.75CastroMathias Dyngeland: 158 passningar, xT 0.1DyngelandFelix Horn Myhre: 106 passningar, xT -0.04MyhreKristian Eriksen: 98 passningar, xT 0.13EriksenNiklas Wassberg: 94 passningar, xT 0.02Wassberg
    Lillestrøm
    Ruben Gabrielsen: 297 passningar, xT 0.35GabrielsenStian Kristiansen: 275 passningar, xT 0.48KristiansenFrederik Elkaer: 212 passningar, xT 0.61ElkaerYlldren Ibrahimaj: 197 passningar, xT 0.25IbrahimajLars Ranger: 195 passningar, xT 0.36RangerKevin Krygard: 187 passningar, xT -0.06KrygardEspen Garnas: 144 passningar, xT 0.21GarnasPontus Jacob Ragne Dahlberg: 137 passningar, xT 0.39DahlbergGustav Nyheim: 92 passningar, xT 0.12NyheimWinston Robin Yaw Paintsil: 86 passningar, xT 0.17PaintsilVladimiro Etson António Félix: 71 passningar, xT 0.33Félix

    The teams in numbers

    PerformanceBrannLillestrøm
    Points2626
    xPoints22.527.6
    xG per match1.81.6
    xGA per match1.61.3
    xG within 8s of winning the ball0.30.26
    xGA within 8s of losing the ball0.170.29
    Playing styleBrannLillestrøm
    Build-up efficiency0.320.34
    Field tilt0.650.52
    xT per match1.60.96
    xTA per match1.21
    Won balls, offensive half3026
    Pressing intensity0.230.23
    Pressing efficiency0.310.26
    Pressing efficiency, offensive half0.310.26
    Entries into the box per match2115
    Entries into the box against1413
    Pass completion %0.760.78
    Pass completion % under pressure0.710.74
    Passes per match432424
    Passes against per match284374
    Switches of play per match27.126
    Long balls per match3532
    Set piecesBrannLillestrøm
    xG from free kicks0.050.1
    Corners per match6.55.4
    Corners against per match5.25.2
    xG per corner0.040.05
    xGA per corner against0.040.02
    First touch, offensive corners %0.420.45
    First touch, defensive corners %0.590.68
    OtherBrannLillestrøm
    Throw-in control0.70.76
    The goalkeepersMathias Dyngeland (Brann)Pontus Jacob Ragne Dahlberg (Lillestrøm)
    Saves3568
    Save %67%74%
    xG prevented40%56%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Brann vs Lillestrøm according to our model?

    The model gives Brann a 50% win probability. Full 1X2 picture: Brann 50%, draw 24%, Lillestrøm 27%.

    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 58% and under at 42%.

    Will both teams score?

    The probability of both teams scoring is 59% 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.