Norwegian Eliteserien16°1,4 mm11 km/h

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    LillestrømLillestrømPossession & high press
    14
    FredrikstadFredrikstadBalanced & physical
    The model's lean: 1 · Lillestrøm (58%)Best value by the model: 2 · Fredrikstad @ 5.31 (+9 %)

    LillestrømFredrikstad · Norwegian Eliteserien

    1 · Lillestrøm 58%X 22%21% Fredrikstad · 2

    Analysis: LillestrømFredrikstad

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    Fredrikstad's recent three-game winning streak adds intrigue to their clash against Lillestrøm, though numbers paint a different picture. The hosts hold a slight edge with a model probability of 58% favoring them. Despite the small head-to-head sample where Lillestrøm has lost twice to Fredrikstad, the hosts display better season form. Their expected goals of 1.92 surpass the visitors' 1.15, indicating control through possession and high pressing.

    Lillestrøm's superior xG and xGA metrics further highlight their advantage, backed by a 26-point tally compared to Fredrikstad's 23. The weather, with expected rain, may dampen the goal-scoring potential, aligning with the model's 41% probability for under 2.5 goals. Although the over 2.5 goals market stands at 59%, and both teams to score at 58%, this could be a cautious affair.

    For value hunters, the under 2.5 goals offers a potential edge, notably at odds of 2.52 with Nordicbet, despite the model's prediction of a high-scoring outcome. Betting on fewer goals could pay off, with the same under at odds of 2.48 with Betsafe providing a smaller edge. Expect a tight 1-1 or perhaps a 1-0 victory for Lillestrøm, as dry numbers often favor the mundane over the thrilling.

    LillestrømLillestrøm
    Form WLLLD
    League ranking xG #7xGA #2xT #10xP/match #3Points #5
    Key players
    • Ruben GabrielsenCBxG 0.03 · xT 0.10
    • Lars RangerRWBxG 0.17 · xT 0.13
    • Salieu DrammehRWxG 0.25 · xT 0.16
    FredrikstadFredrikstad
    Form LLWWW
    League ranking xG #14xGA #15xT #13xP/match #16Points #8
    Key players
    • Henrik SkogvoldFxG 0.22 · xT 0.02
    • Rocco SheinCAMxG 0.12 · xT 0.09
    • Daniel EidRBxG 0.10 · xT 0.23
    Final score
    14
    The model missed the outcome
    Predicted probabilities: Lillestrøm 58% · Draw 22% · Fredrikstad 21%

    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 - FredrikstadBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 14,53fair 15,34-5 %
    Hit
    Matchresultat - LillestrømBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 4,88fair 5,47-11 %
    Miss

    Match prediction: LillestrømFredrikstad

    Predicted score matrix

    Fredrikstad
    Lillestrøm
    0
    1
    2
    3
    4+
    0
    0–05.0%
    0–15.1%
    0–23.1%
    0–31.2%
    0–4+0.4%
    1
    1–08.7%
    1–110.6%
    1–25.9%
    1–32.2%
    1–4+0.8%
    2
    2–08.6%
    2–19.8%
    2–25.6%
    2–32.2%
    2–4+0.8%
    3
    3–05.5%
    3–16.3%
    3–23.6%
    3–31.4%
    3–4+0.5%
    4+
    4+–04.1%
    4+–14.7%
    4+–22.7%
    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. 3.1-09%
    4. 4.2-09%
    5. 5.3-16%
    Expected goals
    1,921,15
    Both teams to score
    58%

    Over/under goals

    Expected goals: 3,1
    Under 2,541%
    @2.52EV+1%
    Over 2,559%
    @1.69

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Lillestrøm to win58%
    • Over 1.5 goals81%

    Combined probability

    46%

    Fair odds

    2.16

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

    02 · 3 legs

    Balanced

    • Lillestrøm to win58%
    • Over 2.5 goals59%
    • Gustav Kjølstad Nyheim to score35%

    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 score58%
    • Over 2.5 goals59%
    • Gustav Kjølstad Nyheim to score35%
    • Ulrik Tillung Fredriksen 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+).

    • 2 · Fredrikstad21% probability@5.31PinnacleEV+9%reference odds
    • Under 2.541% probability@2.52NordicbetEV+3%reference odds
    • Under 3.563% probability@1.62NordicbetEV+3%reference odds
    Bookmaker1 · LillestrømX2 · Fredrikstad
    Bet3651.614.104.50
    Betsafe1.684.054.70
    Betsson1.723.904.75
    Nordicbet1.684.104.75
    Pinnacle1.703.78
    EV+ 9%
    5.31

    Odds updated 30 Aug, 05:14

    Odds movement

    1+1 %
    58 %53 %

    1.681.70

    X+1 %
    28 %23 %

    3.733.78

    2+1 %
    21 %16 %

    5.255.31

    Over 2,50 %
    59 %54 %

    1.691.69

    Pinnacle · 11 recorded price levels · 21/08/2026 → 30/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    3 matches
    Lillestrøm 1Draw 0Fredrikstad 2
    Goals: 35 (⌀ 2,7)

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

    Key facts

    • Fredrikstad come into this round on 3 straight wins.
    xG & xGA per match — 3-game rolling average

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

    Lillestrøm
    Fredrikstad
    When goals are scored and conceded 2026
    Lillestrøm (2321)
    Fredrikstad (1827)
    Pass networks

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

    Lillestrøm
    Ruben Gabrielsen: 362 passningar, xT 0.42GabrielsenFrederik Elkaer: 253 passningar, xT 0.61ElkaerLars Ranger: 213 passningar, xT 0.37RangerStian Kristiansen: 205 passningar, xT 0.37KristiansenKevin Krygard: 199 passningar, xT -0.05KrygardYlldren Ibrahimaj: 173 passningar, xT 0.31IbrahimajPontus Jacob Ragne Dahlberg: 125 passningar, xT 0.25DahlbergGustav Nyheim: 124 passningar, xT 0.28NyheimUlrik Yttergard Jenssen: 75 passningar, xT 0.24JenssenVladimiro Etson António Félix: 73 passningar, xT 0.19FélixEspen Garnas: 73 passningar, xT 0.12Garnas
    Fredrikstad
    Fredrik Holme: 275 passningar, xT 0.2HolmeUlrik Fredriksen: 222 passningar, xT 0.29FredriksenMax Mattias Nilsson: 219 passningar, xT 0.52NilssonDaniel Eid: 173 passningar, xT 0.63EidMartin Borsheim: 134 passningar, xT 0.1BorsheimOskar Ohlenschlaeger: 112 passningar, xT -0.04OhlenschlaegerFanuel Ghebreyohannes Yrga-Alem: 106 passningar, xT 0.4Yrga-AlemSimen Rafn: 99 passningar, xT 0.19RafnIsak Helstad Amundsen: 99 passningar, xT 0.1AmundsenHenrik Skogvold: 75 passningar, xT -0.03SkogvoldSamuel Ruben Leach Holm: 60 passningar, xT 0.13Holm
    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
    Ruben Gabrielsen: 362 passningar, xT 0.42GabrielsenFrederik Elkaer: 253 passningar, xT 0.61ElkaerLars Ranger: 213 passningar, xT 0.37RangerStian Kristiansen: 205 passningar, xT 0.37KristiansenKevin Krygard: 199 passningar, xT -0.05KrygardYlldren Ibrahimaj: 173 passningar, xT 0.31IbrahimajPontus Jacob Ragne Dahlberg: 125 passningar, xT 0.25DahlbergGustav Nyheim: 124 passningar, xT 0.28NyheimUlrik Yttergard Jenssen: 75 passningar, xT 0.24JenssenVladimiro Etson António Félix: 73 passningar, xT 0.19FélixEspen Garnas: 73 passningar, xT 0.12Garnas
    Fredrikstad
    Fredrik Holme: 275 passningar, xT 0.2HolmeUlrik Fredriksen: 222 passningar, xT 0.29FredriksenMax Mattias Nilsson: 219 passningar, xT 0.52NilssonDaniel Eid: 173 passningar, xT 0.63EidMartin Borsheim: 134 passningar, xT 0.1BorsheimOskar Ohlenschlaeger: 112 passningar, xT -0.04OhlenschlaegerFanuel Ghebreyohannes Yrga-Alem: 106 passningar, xT 0.4Yrga-AlemSimen Rafn: 99 passningar, xT 0.19RafnIsak Helstad Amundsen: 99 passningar, xT 0.1AmundsenHenrik Skogvold: 75 passningar, xT -0.03SkogvoldSamuel Ruben Leach Holm: 60 passningar, xT 0.13Holm

    The teams in numbers

    PerformanceLillestrømFredrikstad
    Points2623
    xPoints26.917.8
    xG per match1.61.2
    xGA per match1.21.9
    xG within 8s of winning the ball0.270.1
    xGA within 8s of losing the ball0.240.31
    Playing styleLillestrømFredrikstad
    Build-up efficiency0.340.36
    Field tilt0.520.42
    xT per match0.970.89
    xTA per match0.991.1
    Won balls, offensive half2624
    Pressing intensity0.230.24
    Pressing efficiency0.260.27
    Pressing efficiency, offensive half0.250.26
    Entries into the box per match1411
    Entries into the box against1315
    Pass completion %0.790.77
    Pass completion % under pressure0.740.74
    Passes per match423375
    Passes against per match375426
    Switches of play per match26.125.6
    Long balls per match3237
    Set piecesLillestrømFredrikstad
    xG from free kicks0.090.08
    Corners per match5.24.1
    Corners against per match5.35.9
    xG per corner0.050.04
    xGA per corner against0.020.05
    First touch, offensive corners %0.440.37
    First touch, defensive corners %0.690.5
    OtherLillestrømFredrikstad
    Throw-in control0.770.76
    The goalkeepersPontus Jacob Ragne Dahlberg (Lillestrøm)Martin Borsheim (Fredrikstad)
    Saves6359
    Save %76%69%
    xG prevented59%37%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Lillestrøm vs Fredrikstad according to our model?

    The model gives Lillestrøm a 58% win probability. Full 1X2 picture: Lillestrøm 58%, draw 22%, Fredrikstad 21%.

    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 59% and under at 41%.

    Will both teams score?

    The probability of both teams scoring is 58% 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.