Norwegian Eliteserien9°7,8 mm26 km/h

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    FredrikstadFredrikstadBalanced & physical
    vs
    RosenborgRosenborgCounter-attacks & crosses
    The model's lean: 2 · Rosenborg (42%)

    Fredrikstad vs Rosenborg · Norwegian Eliteserien

    1 · Fredrikstad 33%X 25%42% Rosenborg · 2

    Prediction summary

    BetBuilders AI model prediction for Fredrikstad vs Rosenborg (Norwegian Eliteserien, Saturday, 24 October 2026): Fredrikstad win 33%, draw 25%, Rosenborg win 42%. Expected goals (xG): Fredrikstad 1.45, Rosenborg 1.61. Most likely score: 1-1 (11%). Over 2.5 goals 59%, both teams to score 62%. Double chance: Fredrikstad or draw 58%, Rosenborg or draw 67%. Prediction updated Friday, 16 October 2026.

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    Analysis: Fredrikstad – Rosenborg

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

    The odds of 2.05 with Bet365 for over 2.5 goals are not supported by the provided facts and appear fabricated.

    Corrected text:

    Rosenborg's recent form, coupled with their historical dominance over Fredrikstad, sets the stage for another likely victory. The visitors have not only scored in 13 straight league matches but also remain unbeaten in their last five. This consistency places them in a favorable position against a Fredrikstad side that has yet to triumph in their last five encounters, albeit the head-to-head sample is small and less telling than the current form.

    Fredrikstad, despite showing resilience by scoring in their last nine league games, face a formidable challenge. They hold a mere 33% chance of winning according to model probabilities, overshadowed by Rosenborg's 42%. The hosts' expected goals of 1.45 contrast with the visitors' 1.61, underlining Rosenborg's attacking edge. The expected rain could impact the flow, but these factors are already considered in the model's numbers.

    The betting angle centers on Rosenborg's advantage, both statistically and historically. The most likely scoreline points towards a 1-1 draw at 11%, but at 9%, a 1-2 victory for Rosenborg closely follows, backed by their superior xG and attacking prowess. With the over 2.5 goals probability at 59%, there's value in betting on a high-scoring affair.

    FredrikstadFredrikstad
    Form LDDDL
    League ranking xG #14xGA #13xT #12xP/match #16Points #8
    Key players
    • Rocco SheinCAMxG 0.10 · xT 0.10
    • Fredrik HolmeCBxG 0.13 · xT 0.08
    • Max Mattias NilssonCAMxG 0.10 · xT 0.10
    RosenborgRosenborg
    Form WWWDW
    League ranking xG #5xGA #5xT #7xP/match #4Points #5
    Key players
    • Emil Konradsen CeideLWxG 0.21 · xT 0.19
    • Mikkel Konradsen CeideCBxG 0.04 · xT 0.06
    • Tomas NemcikCBxG 0.03 · xT 0.09

    Match prediction: Fredrikstad – Rosenborg

    Predicted score matrix

    Rosenborg →
    Fredrikstad →
    0
    1
    2
    3
    4+
    0
    0–05.0%
    0–17.2%
    0–26.1%
    0–33.3%
    0–4+1.9%
    1
    1–06.5%
    1–111.3%
    1–28.8%
    1–34.8%
    1–4+2.8%
    2
    2–04.9%
    2–17.9%
    2–26.4%
    2–33.4%
    2–4+2.0%
    3
    3–02.4%
    3–13.8%
    3–23.1%
    3–31.7%
    3–4+1.0%
    4+
    4+–01.2%
    4+–11.9%
    4+–21.5%
    4+–30.8%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-29%
    3. 3.2-18%
    4. 4.0-17%
    5. 5.1-06%
    Expected goals
    1,45–1,61
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,1
    Under 2,541%
    –
    Over 2,559%
    –

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    01 · 2 legs

    Safe

    • Double chance Rosenborg or draw (X2)66%
    • Over 1.5 goals81%

    Combined probability

    54%

    Fair odds

    1.86

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

    02 · 3 legs

    Balanced

    • Double chance Rosenborg or draw (X2)66%
    • Over 2.5 goals59%
    • Emil Konradsen Ceïde 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 score62%
    • Over 2.5 goals59%
    • Emil Konradsen Ceïde to score20%
    • Tomáš Nemčík to be booked19%

    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

    5 matches
    Fredrikstad 0Draw 2Rosenborg 3
    Goals: 3–10 (⌀ 2,6)

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

    Key facts

    • Rosenborg dominate this fixture historically: 3 wins to 0 in 5 meetings.
    • Fredrikstad have scored in 9 consecutive league matches.
    • Rosenborg are unbeaten in their last 5 league matches.
    • Rosenborg have scored in 13 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Fredrikstad
    Rosenborg
    When goals are scored and conceded — 2026
    Fredrikstad (28–36)
    Rosenborg (43–31)
    Pass networks

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

    Fredrikstad
    Fredrik Holme: 422 passningar, xT 0.75HolmeSamuel Ruben Leach Holm: 328 passningar, xT 0.91HolmMax Mattias Nilsson: 281 passningar, xT 0.34NilssonSolomon Owusu: 272 passningar, xT 0.51OwusuIsak Helstad Amundsen: 260 passningar, xT 0.45AmundsenDaniel Eid: 247 passningar, xT 0.96EidSondre Sorlokk: 184 passningar, xT 0.18SorlokkMartin Borsheim: 135 passningar, xT 0.1BorsheimBryan Benjamin Solhaug Fiabema: 92 passningar, xT 0.1FiabemaLiam Christopher West: 72 passningar, xT 0.29WestUlrik Fredriksen: 71 passningar, xT 0.12Fredriksen
    Rosenborg
    Mikkel Konradsen Ceide: 263 passningar, xT 0.42CeideTomas Nemcik: 226 passningar, xT 0.42NemcikAdrian Pereira: 214 passningar, xT 1.04PereiraOle Selnaes: 212 passningar, xT 0.47SelnaesAslak Fonn Witry: 187 passningar, xT 0.59WitryMads Bomholt: 177 passningar, xT 0.82BomholtEmil Konradsen Ceide: 154 passningar, xT 0.68CeideLeopold Wahlstedt: 121 passningar, xT 0.06WahlstedtMathias Ullereng Kjølø: 114 passningar, xT 0.11KjøløNoah Sahsah: 89 passningar, xT 0.26SahsahSimen Bolkan Nordli: 79 passningar, xT 0.17Nordli
    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.

    Fredrikstad
    Fredrik Holme: 422 passningar, xT 0.75HolmeSamuel Ruben Leach Holm: 328 passningar, xT 0.91HolmMax Mattias Nilsson: 281 passningar, xT 0.34NilssonSolomon Owusu: 272 passningar, xT 0.51OwusuIsak Helstad Amundsen: 260 passningar, xT 0.45AmundsenDaniel Eid: 247 passningar, xT 0.96EidSondre Sorlokk: 184 passningar, xT 0.18SorlokkMartin Borsheim: 135 passningar, xT 0.1BorsheimBryan Benjamin Solhaug Fiabema: 92 passningar, xT 0.1FiabemaLiam Christopher West: 72 passningar, xT 0.29WestUlrik Fredriksen: 71 passningar, xT 0.12Fredriksen
    Rosenborg
    Mikkel Konradsen Ceide: 263 passningar, xT 0.42CeideTomas Nemcik: 226 passningar, xT 0.42NemcikAdrian Pereira: 214 passningar, xT 1.04PereiraOle Selnaes: 212 passningar, xT 0.47SelnaesAslak Fonn Witry: 187 passningar, xT 0.59WitryMads Bomholt: 177 passningar, xT 0.82BomholtEmil Konradsen Ceide: 154 passningar, xT 0.68CeideLeopold Wahlstedt: 121 passningar, xT 0.06WahlstedtMathias Ullereng Kjølø: 114 passningar, xT 0.11KjøløNoah Sahsah: 89 passningar, xT 0.26SahsahSimen Bolkan Nordli: 79 passningar, xT 0.17Nordli

    The teams in numbers

    PerformanceFredrikstadRosenborg
    Points2937
    xPoints24.336.3
    xG per match1.21.8
    xGA per match1.91.5
    xG within 8s of winning the ball0.170.17
    xGA within 8s of losing the ball0.320.3
    Playing styleFredrikstadRosenborg
    Build-up efficiency0.360.33
    Field tilt0.440.56
    xT per match0.951.1
    xTA per match1.11.1
    Won balls, offensive half2428
    Pressing intensity0.240.24
    Pressing efficiency0.270.32
    Pressing efficiency, offensive half0.280.3
    Entries into the box per match1216
    Entries into the box against1514
    Pass completion %0.780.76
    Pass completion % under pressure0.730.7
    Passes per match407391
    Passes against per match424344
    Switches of play per match28.322.8
    Long balls per match3728
    Set piecesFredrikstadRosenborg
    xG from free kicks0.060.05
    Corners per match4.26.2
    Corners against per match5.95.7
    xG per corner0.030.03
    xGA per corner against0.030.04
    First touch, offensive corners %0.390.43
    First touch, defensive corners %0.510.6
    OtherFredrikstadRosenborg
    Throw-in control0.740.71
    The goalkeepersMartin Borsheim (Fredrikstad)Leopold Wahlstedt (Rosenborg)
    Saves7478
    Save %68%72%
    xG prevented41%49%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Fredrikstad vs Rosenborg according to our model?

    The model gives Rosenborg a 42% win probability. Full 1X2 picture: Fredrikstad 33%, draw 25%, Rosenborg 42%.

    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 62% according to the model.

    How many goals are expected in Fredrikstad vs Rosenborg?

    The model expects 1.45 goals (xG) for Fredrikstad and 1.61 for Rosenborg, 3.06 in total.

    What does the model say about double chance?

    Fredrikstad or draw (1X) 58%, Rosenborg or draw (X2) 67% 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.

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