Norwegian Eliteserien11°16 km/h

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    LillestrømLillestrømPossession & high press
    vs
    VålerengaVålerengaBalanced & physical
    The model's lean: 1 · Lillestrøm (49%)Best value by the model: Under 3,5 @ 1.78 (+2 %)

    LillestrømVålerenga · Norwegian Eliteserien

    1 · Lillestrøm 49%X 24%27% Vålerenga · 2

    Analysis: LillestrømVålerenga

    Anna Karlsson · · A data-driven preview · How the predictions work

    Lillestrøm's possession-based high press will be the defining factor when they face a balanced yet physical Vålerenga side. The model favors the home team with a 49% win probability and suggests a high likelihood of goals, with over 2.5 goals predicted at 65%. Yet, the model's most likely scorelines—1-1 and 2-1—indicate that while goals are expected, they might not be as plentiful as the over/under market suggests.

    However, the small head-to-head sample since 2021, with only one game played, gives Lillestrøm a solitary win, which aligns with their slight edge in overall form. Lillestrøm's 29 points, both in reality and expected, edge past Vålerenga's 23. The hosts have shown more consistency and efficiency in both attack and defense with an xG of 1.6 per match against Vålerenga's 1.4, and an xGA of 1.3 compared to Vålerenga's porous 1.7.

    Though the game leans towards Lillestrøm either edging it or a possible draw, goals are in the air. Yet the betting angles reveal intriguing opportunities for the cautious punter. While the market sees a high-scoring affair, there's value in under 2.5 goals at odds of 2.85 with Nordicbet, representing a 1% edge. For those less risk-averse, under 3.5 goals at 1.75 with both Betsson and Nordicbet offers another calculated play, with the model rating it a 57% chance.

    Expect Lillestrøm to dominate possession but face a resilient Vålerenga. The final whistle might announce a narrow 2-1 victory for the home side, though a 1-1 draw wouldn’t surprise. Amid the probability of goals, the under 3.5 goals bet at 1.75 remains the sharper angle, adding a layer of intrigue to this Eliteserien clash.

    LillestrømLillestrøm
    Form LLDLW
    League ranking xG #7xGA #5xT #12xP/match #4Points #5
    Key players
    • Ruben GabrielsenCBxG 0.03 · xT 0.10
    • Lars RangerRWBxG 0.17 · xT 0.13
    • Salieu DrammehRWxG 0.25 · xT 0.16
    VålerengaVålerenga
    Form LLDDD
    League ranking xG #10xGA #12xT #6xP/match #12Points #10
    Key players
    • Henrik BjordalRWxG 0.14 · xT 0.17
    • Mathias GrundetjernFxG 0.40 · xT 0.04
    • Elias SorensenFxG 0.19 · xT 0.12

    Match prediction: LillestrømVålerenga

    Predicted score matrix

    Vålerenga
    Lillestrøm
    0
    1
    2
    3
    4+
    0
    0–03.9%
    0–15.1%
    0–24.1%
    0–32.1%
    0–4+1.1%
    1
    1–06.2%
    1–110.1%
    1–27.4%
    1–33.7%
    1–4+2.0%
    2
    2–05.9%
    2–19.0%
    2–26.8%
    2–33.4%
    2–4+1.8%
    3
    3–03.6%
    3–15.4%
    3–24.1%
    3–32.1%
    3–4+1.1%
    4+
    4+–02.5%
    4+–13.7%
    4+–22.8%
    4+–31.4%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-19%
    3. 3.1-27%
    4. 4.2-27%
    5. 5.1-06%
    Expected goals
    1,821,51
    Both teams to score
    66%

    Over/under goals

    Expected goals: 3,3
    Under 2,535%
    @2.82
    Over 2,565%
    @1.45

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Lillestrøm to win49%
    • Over 1.5 goals85%

    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

    • Lillestrøm to win49%
    • Over 2.5 goals65%
    • Thomas Lehne Olsen to score25%

    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 score66%
    • Over 2.5 goals65%
    • Thomas Lehne Olsen to score25%
    • Kevin Martin Krygård 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+).

    • Under 3.557% probability@1.78PinnacleEV+2%reference odds
    • Under 3.557% probability@1.75BetssonEV+1%reference odds
    • Under 3.557% probability@1.75NordicbetEV+1%reference odds
    Bookmaker1 · LillestrømX2 · Vålerenga
    Betsafe1.953.853.55
    Betsson1.953.903.60
    Nordicbet1.953.903.60
    Pinnacle1.934.123.58

    Odds updated 11 Sept, 14:39

    Odds movement

    1+3 %
    53 %48 %

    1.871.93

    X+2 %
    26 %21 %

    4.024.12

    20 %
    29 %24 %

    3.593.58

    Pinnacle · 13 recorded price levels · 06/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    Lillestrøm 1Draw 0Vålerenga 0
    Goals: 20 (⌀ 2)

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

    xG & xGA per match — 3-game rolling average

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

    Lillestrøm
    Vålerenga
    When goals are scored and conceded 2026
    Lillestrøm (2626)
    Vålerenga (3340)
    Pass networks

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

    Lillestrøm
    Stian Kristiansen: 293 passningar, xT 0.5KristiansenRuben Gabrielsen: 224 passningar, xT 0.23GabrielsenFrederik Elkaer: 193 passningar, xT 0.63ElkaerYlldren Ibrahimaj: 173 passningar, xT 0.28IbrahimajLars Ranger: 170 passningar, xT 0.32RangerKevin Krygard: 169 passningar, xT -0.05KrygardPontus Jacob Ragne Dahlberg: 121 passningar, xT 0.3DahlbergGustav Nyheim: 84 passningar, xT 0.16NyheimWinston Robin Yaw Paintsil: 79 passningar, xT 0.14PaintsilEspen Garnas: 71 passningar, xT 0.09GarnasVladimiro Etson António Félix: 66 passningar, xT 0.33Félix
    Vålerenga
    Aaron Kiil Olsen: 305 passningar, xT 0.65OlsenCarl Lange: 238 passningar, xT 0.53LangeKolbeinn Birgir Finnsson: 217 passningar, xT 1.02FinnssonSebastian Jarl: 186 passningar, xT 0.45JarlHakon Sjatil: 149 passningar, xT 0.57SjatilOscar Thore Hedvall: 139 passningar, xT 0.37HedvallIvan Tarek Fjellstad Näsberg: 131 passningar, xT 0.23NäsbergPetter Strand: 113 passningar, xT 0.43StrandMagnus Hee Westergaard: 111 passningar, xT -0.02WestergaardLucas Janus Ravn-Haren: 85 passningar, xT 0.28Ravn-HarenKevin N'goyi Tshiembe: 65 passningar, xT 0.06Tshiembe
    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: 293 passningar, xT 0.5KristiansenRuben Gabrielsen: 224 passningar, xT 0.23GabrielsenFrederik Elkaer: 193 passningar, xT 0.63ElkaerYlldren Ibrahimaj: 173 passningar, xT 0.28IbrahimajLars Ranger: 170 passningar, xT 0.32RangerKevin Krygard: 169 passningar, xT -0.05KrygardPontus Jacob Ragne Dahlberg: 121 passningar, xT 0.3DahlbergGustav Nyheim: 84 passningar, xT 0.16NyheimWinston Robin Yaw Paintsil: 79 passningar, xT 0.14PaintsilEspen Garnas: 71 passningar, xT 0.09GarnasVladimiro Etson António Félix: 66 passningar, xT 0.33Félix
    Vålerenga
    Aaron Kiil Olsen: 305 passningar, xT 0.65OlsenCarl Lange: 238 passningar, xT 0.53LangeKolbeinn Birgir Finnsson: 217 passningar, xT 1.02FinnssonSebastian Jarl: 186 passningar, xT 0.45JarlHakon Sjatil: 149 passningar, xT 0.57SjatilOscar Thore Hedvall: 139 passningar, xT 0.37HedvallIvan Tarek Fjellstad Näsberg: 131 passningar, xT 0.23NäsbergPetter Strand: 113 passningar, xT 0.43StrandMagnus Hee Westergaard: 111 passningar, xT -0.02WestergaardLucas Janus Ravn-Haren: 85 passningar, xT 0.28Ravn-HarenKevin N'goyi Tshiembe: 65 passningar, xT 0.06Tshiembe

    The teams in numbers

    PerformanceLillestrømVålerenga
    Points2923
    xPoints2923.2
    xG per match1.61.4
    xGA per match1.31.7
    xG within 8s of winning the ball0.250.3
    xGA within 8s of losing the ball0.310.24
    Playing styleLillestrømVålerenga
    Build-up efficiency0.330.36
    Field tilt0.490.51
    xT per match0.921.2
    xTA per match11.1
    Won balls, offensive half2525
    Pressing intensity0.230.23
    Pressing efficiency0.260.29
    Pressing efficiency, offensive half0.260.27
    Entries into the box per match1416
    Entries into the box against1416
    Pass completion %0.780.76
    Pass completion % under pressure0.730.72
    Passes per match409380
    Passes against per match384384
    Switches of play per match25.524.3
    Long balls per match3233
    Set piecesLillestrømVålerenga
    xG from free kicks0.110.01
    Corners per match5.16.7
    Corners against per match5.55.7
    xG per corner0.050.03
    xGA per corner against0.020.05
    First touch, offensive corners %0.450.41
    First touch, defensive corners %0.670.51
    OtherLillestrømVålerenga
    Throw-in control0.750.76
    The goalkeepersPontus Jacob Ragne Dahlberg (Lillestrøm)Oscar Thore Hedvall (Vålerenga)
    Saves7066
    Save %74%62%
    xG prevented56%48%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Lillestrøm vs Vålerenga according to our model?

    The model gives Lillestrøm a 49% win probability. Full 1X2 picture: Lillestrøm 49%, draw 24%, Vålerenga 27%.

    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 65% and under at 35%.

    Will both teams score?

    The probability of both teams scoring is 66% 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.