Norwegian Eliteserien11°17,6 mm28 km/h

    Läs på svenska
    StartStartLow block & direct
    vs
    LillestrømLillestrømBalanced & physical
    The model's lean: 2 · Lillestrøm (47%)

    Start vs Lillestrøm · Norwegian Eliteserien

    1 · Start 28%X 25%47% Lillestrøm · 2

    Prediction summary

    BetBuilders AI model prediction for Start vs Lillestrøm (Norwegian Eliteserien, Saturday, 24 October 2026): Start win 28%, draw 25%, Lillestrøm win 47%. Expected goals (xG): Start 1.28, Lillestrøm 1.57. Most likely score: 1-1 (12%). Over 2.5 goals 54%, both teams to score 58%. Double chance: Start or draw 53%, Lillestrøm or draw 72%. Prediction updated Friday, 16 October 2026.

    Bet on this match

    NordicbetVälkommen in i matchen! Skapa ett konto, gör en insättning och hämta ett gratisspel värt 100 kr plus 50 freespins på Pirots 4.Claim the bonus at Nordicbet
    BetsafeHämta ett 100 kr gratisspel + 50 freespins på Pirots 4 när du gör din första insättning hos Betsafe!Claim the bonus at Betsafe
    LeoVegas100 % upp till 600 kr på sport vid första insättningenClaim the bonus at LeoVegas

    18+ · Gamble responsibly · stodlinjen.se · Affiliate links

    Analysis: Start – Lillestrøm

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

    TEXT: Lillestrøm's visit to Start has the makings of a tightly contested affair, driven by both form and quality metrics. The visitors, sitting comfortably with 36 points compared to Start's 16, naturally come in as the favorites. While the model gives Lillestrøm a 47% chance of victory, the recent three-match losing streak for Start adds further weight to the visitors' prospects.

    The expected goals (xG) suggest a slight but notable edge for Lillestrøm, with 1.57 compared to Start's 1.28. This aligns with their balanced and physical play style, likely to exploit Start's vulnerable defense. Despite Start's direct style potentially causing sporadic threats, their 2.0 xGA per match is a glaring weakness Lillestrøm can capitalize on, especially given the hosts' current confidence dip.

    A small head-to-head sample favors Lillestrøm as well, with a single win in their recent history; however, with only one match played, this factor is less influential than current form. The model's lean towards Lillestrøm is reinforced by the expected weather conditions—heavy rain—which may dampen both teams' offensive output, yet this is already considered in the model's predictions. The over 2.5 goals market sits at 54%, suggesting a moderate lean towards goals in this fixture.

    The sharpest angle here is Lillestrøm to win, and the numbers point to Lillestrøm emerging as 1-2 victors, but in a match not devoid of risk, there's just enough on the table to back the visitors.

    StartStart
    Form LWLLL
    League ranking xG #11xGA #15xT #10xP/match #13Points #16
    Key players
    • Mikael UglandCMxG 0.05 · xT 0.07
    • Jens Berland HuseboCBxG 0.09 · xT 0.07
    • John Olav NorheimCBxG 0.14 · xT 0.08
    LillestrømLillestrøm
    Form WWLDW
    League ranking xG #8xGA #7xT #13xP/match #8Points #6
    Key players
    • Ruben GabrielsenCBxG 0.04 · xT 0.09
    • Sander Moen FossCBxG 0.05 · xT 0.10
    • Lars RangerRWBxG 0.11 · xT 0.16

    Match prediction: Start – Lillestrøm

    Predicted score matrix

    Lillestrøm →
    Start →
    0
    1
    2
    3
    4+
    0
    0–06.1%
    0–18.7%
    0–27.1%
    0–33.7%
    0–4+2.1%
    1
    1–07.0%
    1–111.9%
    1–29.1%
    1–34.8%
    1–4+2.7%
    2
    2–04.7%
    2–17.4%
    2–25.9%
    2–33.1%
    2–4+1.7%
    3
    3–02.0%
    3–13.2%
    3–22.5%
    3–31.3%
    3–4+0.7%
    4+
    4+–00.9%
    4+–11.4%
    4+–21.1%
    4+–30.6%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.0-19%
    4. 4.2-17%
    5. 5.0-27%
    Expected goals
    1,28–1,57
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,546%
    –
    Over 2,554%
    –

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Lillestrøm to win47%
    • Over 1.5 goals78%

    Combined probability

    35%

    Fair odds

    2.86

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

    02 · 3 legs

    Balanced

    • Lillestrøm to win47%
    • Over 2.5 goals54%
    • Vladimiro Etson António Félix to score20%

    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 goals54%
    • Vladimiro Etson António Félix to score20%
    • Erlend Segberg to be booked20%

    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

    No odds available yet.

    Statistics

    Head-to-head

    1 matches
    Start 0Draw 0Lillestrøm 1
    Goals: 1–3 (⌀ 4)

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

    Key facts

    • Start have lost 3 in a row.
    xG & xGA per match — 3-game rolling average

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

    Start
    Lillestrøm
    When goals are scored and conceded — 2026
    Start (25–54)
    Lillestrøm (32–31)
    Pass networks

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

    Start
    Erlend Segberg: 210 passningar, xT 0.44SegbergMikael Ugland: 174 passningar, xT 0.56UglandErlend Dahl Reitan: 164 passningar, xT 0.59ReitanAltin Ujkani: 158 passningar, xT 0.29UjkaniSander Aske Granheim: 153 passningar, xT 0.25GranheimJohn Olav Norheim: 133 passningar, xT 0.25NorheimOusmane Diallo Toure: 118 passningar, xT 0.12ToureStève Regis Mvoué: 108 passningar, xT 0.22MvouéJens Berland Husebo: 100 passningar, xT 0.13HuseboDeni Dashaev: 84 passningar, xT 0.5DashaevHakon Lorentzen: 79 passningar, xT 0.05Lorentzen
    Lillestrøm
    Sander Moen Foss: 180 passningar, xT 0.22FossFrederik Elkaer: 167 passningar, xT 0.29ElkaerRuben Gabrielsen: 166 passningar, xT 0.13GabrielsenFilip Ottosson: 136 passningar, xT 0.45OttossonStian Kristiansen: 130 passningar, xT 0.04KristiansenLars Ranger: 122 passningar, xT 0.82RangerPontus Jacob Ragne Dahlberg: 118 passningar, xT 0.09DahlbergGustav Nyheim: 104 passningar, xT -0.05NyheimYlldren Ibrahimaj: 98 passningar, xT -0.05IbrahimajEric Kitolano: 95 passningar, xT 0.01KitolanoSturla Ottesen: 74 passningar, xT 0.55Ottesen
    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.

    Start
    Erlend Segberg: 210 passningar, xT 0.44SegbergMikael Ugland: 174 passningar, xT 0.56UglandErlend Dahl Reitan: 164 passningar, xT 0.59ReitanAltin Ujkani: 158 passningar, xT 0.29UjkaniSander Aske Granheim: 153 passningar, xT 0.25GranheimJohn Olav Norheim: 133 passningar, xT 0.25NorheimOusmane Diallo Toure: 118 passningar, xT 0.12ToureStève Regis Mvoué: 108 passningar, xT 0.22MvouéJens Berland Husebo: 100 passningar, xT 0.13HuseboDeni Dashaev: 84 passningar, xT 0.5DashaevHakon Lorentzen: 79 passningar, xT 0.05Lorentzen
    Lillestrøm
    Sander Moen Foss: 180 passningar, xT 0.22FossFrederik Elkaer: 167 passningar, xT 0.29ElkaerRuben Gabrielsen: 166 passningar, xT 0.13GabrielsenFilip Ottosson: 136 passningar, xT 0.45OttossonStian Kristiansen: 130 passningar, xT 0.04KristiansenLars Ranger: 122 passningar, xT 0.82RangerPontus Jacob Ragne Dahlberg: 118 passningar, xT 0.09DahlbergGustav Nyheim: 104 passningar, xT -0.05NyheimYlldren Ibrahimaj: 98 passningar, xT -0.05IbrahimajEric Kitolano: 95 passningar, xT 0.01KitolanoSturla Ottesen: 74 passningar, xT 0.55Ottesen

    The teams in numbers

    PerformanceStartLillestrøm
    Points1636
    xPoints27.730.4
    xG per match1.41.5
    xGA per match21.7
    xG within 8s of winning the ball0.280.21
    xGA within 8s of losing the ball0.330.35
    Playing styleStartLillestrøm
    Build-up efficiency0.340.33
    Field tilt0.330.47
    xT per match10.94
    xTA per match1.41.1
    Won balls, offensive half2926
    Pressing intensity0.250.25
    Pressing efficiency0.270.26
    Pressing efficiency, offensive half0.290.25
    Entries into the box per match1413
    Entries into the box against1715
    Pass completion %0.70.76
    Pass completion % under pressure0.670.71
    Passes per match292398
    Passes against per match430389
    Switches of play per match24.125.9
    Long balls per match3632
    Set piecesStartLillestrøm
    xG from free kicks0.090.09
    Corners per match4.45.2
    Corners against per match5.35.5
    xG per corner0.040.03
    xGA per corner against0.020.03
    First touch, offensive corners %0.490.41
    First touch, defensive corners %0.520.68
    OtherStartLillestrøm
    Throw-in control0.70.73
    The goalkeepersJacob Pryts (Start)Pontus Jacob Ragne Dahlberg (Lillestrøm)
    Saves4195
    Save %53%76%
    xG prevented34%59%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Start vs Lillestrøm according to our model?

    The model gives Lillestrøm a 47% win probability. Full 1X2 picture: Start 28%, draw 25%, Lillestrøm 47%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 54% and under at 46%.

    Will both teams score?

    The probability of both teams scoring is 58% according to the model.

    How many goals are expected in Start vs Lillestrøm?

    The model expects 1.28 goals (xG) for Start and 1.57 for Lillestrøm, 2.85 in total.

    What does the model say about double chance?

    Start or draw (1X) 53%, Lillestrøm or draw (X2) 72% and no draw (12) 75%.

    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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.