Norwegian Eliteserien2°0,6 mm11 km/h

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    LillestrømLillestrømBalanced & physical
    vs
    MoldeMoldePossession & high press
    The model's lean: 1 · Lillestrøm (37%)Soft draw

    Lillestrøm vs Molde · Norwegian Eliteserien

    1 · Lillestrøm 37%X 27%37% Molde · 2

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    Analysis: Lillestrøm – Molde

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    TEXT:

    Both teams sit at 37% on the model probabilities, yet the lean tips slightly towards Lillestrøm — an intriguing tension given Molde's consistent scoring streak. Molde's attacking prowess is evidenced by their 13 consecutive league matches with a goal. The expected goals further support this, with Molde at 1.81 compared to Lillestrøm's 1.52.

    The most likely scorelines, 1-1 and 1-2, reflect a tight contest with a slight edge to the visitors, supported by Molde's superior xG metrics (1.9) and their defensive advantage with xGA at 1.2, compared to the hosts' 1.6. Despite Lillestrøm's physical approach, Molde's high press might exploit defensive gaps, especially as they seek to capitalize on their possession style. However, the small head-to-head sample should not be overly weighted against Lillestrøm's current form.

    With a 64% chance of over 2.5 goals and both teams likely to score, a scoreline of 1-2 seems plausible. A high-stakes game with a potential for goals could see bettors eyeing the overs for a promising return.

    LillestrømLillestrøm
    Form DLWWL
    League ranking xG #8xGA #7xT #12xP/match #8Points #6
    Key players
    • Ruben GabrielsenCBxG 0.03 · xT 0.10
    • Lars RangerRWBxG 0.11 · xT 0.16
    • Salieu DrammehRWxG 0.27 · xT 0.22
    MoldeMolde
    Form WWWWL
    League ranking xG #3xGA #2xT #4xP/match #4Points #4
    Key players
    • Fredrik GulbrandsenFxG 0.25 · xT -0.01
    • Eirik HestadRWxG 0.34 · xT 0.09
    • Halldor StenevikRWBxG 0.03 · xT 0.26

    Match prediction: Lillestrøm – Molde

    Predicted score matrix

    Molde →
    Lillestrøm →
    0
    1
    2
    3
    4+
    0
    0–03.9%
    0–16.2%
    0–25.9%
    0–33.5%
    0–4+2.4%
    1
    1–05.2%
    1–110.2%
    1–28.9%
    1–35.4%
    1–4+3.6%
    2
    2–04.1%
    2–17.5%
    2–26.8%
    2–34.1%
    2–4+2.8%
    3
    3–02.1%
    3–13.8%
    3–23.4%
    3–32.1%
    3–4+1.4%
    4+
    4+–01.1%
    4+–12.0%
    4+–21.8%
    4+–31.1%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.1-29%
    3. 3.2-17%
    4. 4.2-27%
    5. 5.0-16%
    Expected goals
    1,52–1,81
    Both teams to score
    65%

    Over/under goals

    Expected goals: 3,3
    Under 2,536%
    @3.10EV+8%
    Over 2,564%
    @1.38

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Lillestrøm or draw (1X)56%
    • Over 1.5 goals85%

    Combined probability

    47%

    Fair odds

    2.14

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

    02 · 3 legs

    Balanced

    • Double chance Lillestrøm or draw (1X)56%
    • Over 2.5 goals64%
    • Vladimiro Etson António Félix 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 score65%
    • Over 2.5 goals64%
    • Eirik Hestad to score26%
    • Gustav Kjølstad Nyheim 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

    The model's value spots

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

    • 1 · Lillestrøm37% probability@3.10NordicbetEV+14%reference odds
    • 1 · Lillestrøm37% probability@3.05BetsafeEV+12%reference odds
    • 1 · Lillestrøm37% probability@3.03PinnacleEV+11%reference odds
    Bookmaker1 · LillestrømX2 · Molde
    Betsafe
    EV+ 12%
    3.05
    EV+ 2%
    3.85
    2.12
    LeoVegas
    EV+ 6%
    2.88
    3.752.05
    Nordicbet
    EV+ 14%
    3.10
    EV+ 4%
    3.90
    2.15
    Pinnacle
    EV+ 11%
    3.03
    EV+ 7%
    4.01
    2.12

    Odds updated 2 Oct, 19:36

    Statistics

    Head-to-head

    3 matches
    Lillestrøm 1Draw 0Molde 2
    Goals: 2–5 (⌀ 2,3)

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

    Key facts

    • Molde have scored in 13 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Lillestrøm
    Molde
    When goals are scored and conceded — 2026
    Lillestrøm (28–29)
    Molde (44–32)
    Pass networks

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

    Lillestrøm
    Stian Kristiansen: 258 passningar, xT 0.36KristiansenRuben Gabrielsen: 220 passningar, xT 0.32GabrielsenFrederik Elkaer: 200 passningar, xT 0.31ElkaerYlldren Ibrahimaj: 179 passningar, xT 0.18IbrahimajLars Ranger: 174 passningar, xT 0.91RangerPontus Jacob Ragne Dahlberg: 128 passningar, xT 0.3DahlbergGustav Nyheim: 95 passningar, xT 0.02NyheimSander Moen Foss: 81 passningar, xT 0.11FossEric Kitolano: 79 passningar, xT -0.08KitolanoKevin Krygard: 75 passningar, xT -0.03KrygardVladimiro Etson António Félix: 71 passningar, xT 0.19Félix
    Molde
    Birk Risa: 245 passningar, xT 0.59RisaSamukelo Kabini: 224 passningar, xT 0.59KabiniDaniel Daga: 202 passningar, xT 0.08DagaSondre Granaas: 177 passningar, xT 0.59GranaasEmil Breivik: 171 passningar, xT 0.25BreivikNiklas Ødegård: 168 passningar, xT 0.46ØdegårdMartin Linnes: 160 passningar, xT 0.88LinnesMats Moller Daehli: 160 passningar, xT 0.35DaehliAlbert Posiadała: 159 passningar, xT 0.17PosiadałaFredrik Kristensen Dahl: 133 passningar, xT 0.21DahlSivert Sira Hansen: 123 passningar, xT 0.17Hansen
    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.

    Lillestrøm
    Stian Kristiansen: 258 passningar, xT 0.36KristiansenRuben Gabrielsen: 220 passningar, xT 0.32GabrielsenFrederik Elkaer: 200 passningar, xT 0.31ElkaerYlldren Ibrahimaj: 179 passningar, xT 0.18IbrahimajLars Ranger: 174 passningar, xT 0.91RangerPontus Jacob Ragne Dahlberg: 128 passningar, xT 0.3DahlbergGustav Nyheim: 95 passningar, xT 0.02NyheimSander Moen Foss: 81 passningar, xT 0.11FossEric Kitolano: 79 passningar, xT -0.08KitolanoKevin Krygard: 75 passningar, xT -0.03KrygardVladimiro Etson António Félix: 71 passningar, xT 0.19Félix
    Molde
    Birk Risa: 245 passningar, xT 0.59RisaSamukelo Kabini: 224 passningar, xT 0.59KabiniDaniel Daga: 202 passningar, xT 0.08DagaSondre Granaas: 177 passningar, xT 0.59GranaasEmil Breivik: 171 passningar, xT 0.25BreivikNiklas Ødegård: 168 passningar, xT 0.46ØdegårdMartin Linnes: 160 passningar, xT 0.88LinnesMats Moller Daehli: 160 passningar, xT 0.35DaehliAlbert Posiadała: 159 passningar, xT 0.17PosiadałaFredrik Kristensen Dahl: 133 passningar, xT 0.21DahlSivert Sira Hansen: 123 passningar, xT 0.17Hansen

    The teams in numbers

    PerformanceLillestrømMolde
    Points3236
    xPoints28.231.9
    xG per match1.61.9
    xGA per match1.61.2
    xG within 8s of winning the ball0.230.32
    xGA within 8s of losing the ball0.360.32
    Playing styleLillestrømMolde
    Build-up efficiency0.340.34
    Field tilt0.470.62
    xT per match0.961.3
    xTA per match1.11.1
    Won balls, offensive half2526
    Pressing intensity0.240.23
    Pressing efficiency0.270.31
    Pressing efficiency, offensive half0.270.27
    Entries into the box per match1417
    Entries into the box against1514
    Pass completion %0.770.81
    Pass completion % under pressure0.720.76
    Passes per match402481
    Passes against per match377308
    Switches of play per match26.426.2
    Long balls per match3332
    Set piecesLillestrømMolde
    xG from free kicks0.10.1
    Corners per match5.25.5
    Corners against per match5.64.4
    xG per corner0.030.04
    xGA per corner against0.020.03
    First touch, offensive corners %0.420.36
    First touch, defensive corners %0.680.56
    OtherLillestrømMolde
    Throw-in control0.750.72
    The goalkeepersPontus Jacob Ragne Dahlberg (Lillestrøm)Albert Posiadała (Molde)
    Saves7943
    Save %74%64%
    xG prevented56%44%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Lillestrøm vs Molde according to our model?

    The model gives Lillestrøm a 37% win probability. Full 1X2 picture: Lillestrøm 37%, draw 27%, Molde 37%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 64% and under at 36%.

    Will both teams score?

    The probability of both teams scoring is 65% 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.