Norwegian Eliteserien15°16 km/h

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    FredrikstadFredrikstadBalanced & physical
    vs
    SarpsborgSarpsborgLow block & direct
    The model's lean: 1 · Fredrikstad (37%)Soft drawBest value by the model: Under 2,5 @ 2.15 (+2 %)

    FredrikstadSarpsborg · Norwegian Eliteserien

    1 · Fredrikstad 37%X 27%36% Sarpsborg · 2

    Analysis: FredrikstadSarpsborg

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

    TEXT:

    Fredrikstad holds a slight edge with a 37% win probability against Sarpsborg's 36%, suggesting a tightly contested match. The most probable scorelines of 1-1, 2-1, and 1-0 reflect the narrow margins. While Fredrikstad shows historical dominance with two wins in five meetings, this small sample size carries less weight than current form and expected goals. The hosts' balanced and physical style contrasts with Sarpsborg's low defense approach, indicating a strategic clash.

    The numbers reveal Fredrikstad's edge in points but a significant underperformance in xPoints compared to Sarpsborg. The visitors excel in xG per match at 1.6 versus Fredrikstad’s 1.3, and they also boast a stronger xGA. These metrics suggest Sarpsborg might control the game more than the table suggests. However, Fredrikstad’s physicality and home advantage could counteract Sarpsborg's direct play, with over 2.5 goals rated at 52% and both teams to score at 57%, suggesting goals are still likely from both sides rather than a low-scoring affair.

    The under 2.5 goals market holds value at odds of 2.15 with both Betsson and Nordicbet, offering a 2% edge according to the model. Given the tight match and the balance in team statistics, 1-1 is the most likely single scoreline, though the model's overall lean still favors a Fredrikstad win. The under 3.5 option at 1.46 with Nordicbet, though less lucrative, carries a solid 2% edge and aligns well with the expected conservative play.

    FredrikstadFredrikstad
    Form WWWWL
    League ranking xG #12xGA #16xT #14xP/match #17Points #8
    Key players
    • Daniel EidRWxG 0.10 · xT 0.23
    • Benjamin FaraasFxG 0.36 · xT 0.02
    • Henrik SkogvoldFxG 0.23 · xT 0.03
    SarpsborgSarpsborg
    Form DLLDD
    League ranking xG #8xGA #6xT #10xP/match #3Points #9
    Key players
    • Daniel KarlsbakkFxG 0.39 · xT 0.05
    • Sondre SorliRWxG 0.21 · xT 0.10
    • Aimar SherCDMxG 0.06 · xT 0.08

    Match prediction: FredrikstadSarpsborg

    Predicted score matrix

    Sarpsborg
    Fredrikstad
    0
    1
    2
    3
    4+
    0
    0–06.6%
    0–18.2%
    0–25.8%
    0–32.6%
    0–4+1.2%
    1
    1–08.4%
    1–112.4%
    1–28.2%
    1–33.7%
    1–4+1.7%
    2
    2–06.2%
    2–18.5%
    2–25.8%
    2–32.6%
    2–4+1.2%
    3
    3–02.9%
    3–14.0%
    3–22.7%
    3–31.2%
    3–4+0.6%
    4+
    4+–01.4%
    4+–11.9%
    4+–21.3%
    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. 2.2-18%
    3. 3.1-08%
    4. 4.1-28%
    5. 5.0-18%
    Expected goals
    1,411,36
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,8
    Under 2,548%
    @2.15EV+1%
    Over 2,552%
    @1.71

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Fredrikstad or draw (1X)64%
    • Over 1.5 goals77%

    Combined probability

    49%

    Fair odds

    2.04

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

    02 · 3 legs

    Balanced

    • Double chance Fredrikstad or draw (1X)64%
    • Over 2.5 goals52%
    • Rocco Robert Shein to score26%

    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 score57%
    • Over 2.5 goals52%
    • Rocco Robert Shein to score26%
    • Aimar Hazar Sher to be booked22%

    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 2.548% probability@2.15BetssonEV+2%reference odds
    • Under 2.548% probability@2.15NordicbetEV+2%reference odds
    • Under 2.548% probability@2.15PinnacleEV+2%reference odds
    Bookmaker1 · FredrikstadX2 · Sarpsborg
    Betsafe2.423.50
    EV+ 0%
    2.78
    Betsson2.453.55
    EV+ 1%
    2.80
    Nordicbet2.453.55
    EV+ 1%
    2.80
    Pinnacle2.453.582.77

    Odds updated 11 Sept, 14:29

    Odds movement

    10 %
    41 %36 %

    2.442.45

    X-1 %
    29 %24 %

    3.613.58

    20 %
    37 %32 %

    2.772.77

    Over 2,5+2 %
    59 %54 %

    1.681.71

    Pinnacle · 6 recorded price levels · 07/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    Fredrikstad 2Draw 2Sarpsborg 1
    Goals: 75 (⌀ 2,4)

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

    Key facts

    • Fredrikstad dominate this fixture historically: 2 wins to 1 in 5 meetings.
    xG & xGA per match — 3-game rolling average

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

    Fredrikstad
    Sarpsborg
    When goals are scored and conceded 2026
    Fredrikstad (2330)
    Sarpsborg (2225)
    Pass networks

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

    Fredrikstad
    Fredrik Holme: 297 passningar, xT 0.22HolmeMax Mattias Nilsson: 235 passningar, xT 0.58NilssonIsak Helstad Amundsen: 201 passningar, xT 0.4AmundsenDaniel Eid: 182 passningar, xT 0.93EidUlrik Fredriksen: 138 passningar, xT 0.12FredriksenSamuel Ruben Leach Holm: 134 passningar, xT 0.17HolmMartin Borsheim: 113 passningar, xT 0.11BorsheimSolomon Owusu: 106 passningar, xT 0.17OwusuOskar Ohlenschlaeger: 77 passningar, xT 0.01OhlenschlaegerHenrik Skogvold: 68 passningar, xT 0.12SkogvoldSimen Rafn: 66 passningar, xT 0.46Rafn
    Sarpsborg
    Aimar Sher: 252 passningar, xT 0.35SherAnders Hiim: 249 passningar, xT 0.86HiimMarius Lode: 239 passningar, xT 0.33LodeBjørn Inge Utvik: 178 passningar, xT 0.3UtvikClaus Niyukuri: 176 passningar, xT 0.42NiyukuriSander Christiansen: 164 passningar, xT 0.27ChristiansenOlaus Jair Skarsem: 142 passningar, xT 0.56SkarsemLeander Oy: 104 passningar, xT 0.32OySondre Sorli: 77 passningar, xT 0.6SorliVictor Emanuel Halvorsen: 59 passningar, xT 0.23HalvorsenDaniel Karlsbakk: 58 passningar, xT -0.12Karlsbakk
    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: 297 passningar, xT 0.22HolmeMax Mattias Nilsson: 235 passningar, xT 0.58NilssonIsak Helstad Amundsen: 201 passningar, xT 0.4AmundsenDaniel Eid: 182 passningar, xT 0.93EidUlrik Fredriksen: 138 passningar, xT 0.12FredriksenSamuel Ruben Leach Holm: 134 passningar, xT 0.17HolmMartin Borsheim: 113 passningar, xT 0.11BorsheimSolomon Owusu: 106 passningar, xT 0.17OwusuOskar Ohlenschlaeger: 77 passningar, xT 0.01OhlenschlaegerHenrik Skogvold: 68 passningar, xT 0.12SkogvoldSimen Rafn: 66 passningar, xT 0.46Rafn
    Sarpsborg
    Aimar Sher: 252 passningar, xT 0.35SherAnders Hiim: 249 passningar, xT 0.86HiimMarius Lode: 239 passningar, xT 0.33LodeBjørn Inge Utvik: 178 passningar, xT 0.3UtvikClaus Niyukuri: 176 passningar, xT 0.42NiyukuriSander Christiansen: 164 passningar, xT 0.27ChristiansenOlaus Jair Skarsem: 142 passningar, xT 0.56SkarsemLeander Oy: 104 passningar, xT 0.32OySondre Sorli: 77 passningar, xT 0.6SorliVictor Emanuel Halvorsen: 59 passningar, xT 0.23HalvorsenDaniel Karlsbakk: 58 passningar, xT -0.12Karlsbakk

    The teams in numbers

    PerformanceFredrikstadSarpsborg
    Points2624
    xPoints20.729.8
    xG per match1.31.6
    xGA per match1.91.4
    xG within 8s of winning the ball0.160.2
    xGA within 8s of losing the ball0.30.21
    Playing styleFredrikstadSarpsborg
    Build-up efficiency0.360.36
    Field tilt0.410.38
    xT per match0.91.1
    xTA per match1.11.2
    Won balls, offensive half2423
    Pressing intensity0.240.24
    Pressing efficiency0.260.26
    Pressing efficiency, offensive half0.260.23
    Entries into the box per match1115
    Entries into the box against1619
    Pass completion %0.770.74
    Pass completion % under pressure0.740.69
    Passes per match377325
    Passes against per match437430
    Switches of play per match25.326.3
    Long balls per match3733
    Set piecesFredrikstadSarpsborg
    xG from free kicks0.070.04
    Corners per match44.9
    Corners against per match65.4
    xG per corner0.040.04
    xGA per corner against0.040.03
    First touch, offensive corners %0.380.47
    First touch, defensive corners %0.510.68
    OtherFredrikstadSarpsborg
    Throw-in control0.760.72
    The goalkeepersMartin Borsheim (Fredrikstad)Leander Oy (Sarpsborg)
    Saves6538
    Save %68%75%
    xG prevented38%46%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Fredrikstad vs Sarpsborg according to our model?

    The model gives Fredrikstad a 37% win probability. Full 1X2 picture: Fredrikstad 37%, draw 27%, Sarpsborg 36%.

    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 52% and under at 48%.

    Will both teams score?

    The probability of both teams scoring is 57% 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.