Norwegian Eliteserien4°5 km/h

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    SarpsborgSarpsborgLow block & direct
    0–3
    RosenborgRosenborgCounter-attacks & crosses
    The model's lean: 2 · Rosenborg (42%)

    Sarpsborg vs Rosenborg · Norwegian Eliteserien

    1 · Sarpsborg 31%X 26%42% Rosenborg · 2

    Prediction summary

    Final score 0–3. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Sarpsborg vs Rosenborg (Norwegian Eliteserien, Sunday, 18 October 2026): Sarpsborg win 31%, draw 26%, Rosenborg win 42%. Expected goals (xG): Sarpsborg 1.50, Rosenborg 1.65. Most likely score: 1-1 (11%). Over 2.5 goals 61%, both teams to score 63%. Double chance: Sarpsborg or draw 58%, Rosenborg or draw 69%. Prediction updated Friday, 9 October 2026.

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    Analysis: Sarpsborg – Rosenborg

    Marcus Johansson · · Analysis from the match model · How the predictions work

    Rosenborg’s recent streak of scoring in 12 consecutive league matches sets the stage for an intriguing clash against Sarpsborg. The visitors have shown a penchant for counter-attacking football, utilizing crosses to great effect. They arrive with a slight statistical edge, both in points and expected metrics (xPoints and xG). However, their defensive vulnerabilities must be addressed if they are to capitalize on their attacking prowess and secure a win.

    Sarpsborg, on the other hand, adopts a low defense and direct playstyle, a strategy that has served them well against Rosenborg in the past. Despite the small sample size of five head-to-head encounters since 2021, Sarpsborg's dominance with two wins and two draws suggests they know how to handle their visitors. Yet, their record of conceding 1.5 expected goals per match indicates potential exposure against Rosenborg’s relentless attack.

    The matchup promises to be high scoring, with an average of 3.8 goals in their recent meetings. Model probabilities point to a 61% chance of over 2.5 goals, and a 63% likelihood of both teams finding the net. The tension between Sarpsborg’s direct approach and Rosenborg’s counter-attacking style could lead to a dynamic and open game. The model's most likely scoreline of 1-1 at 11% reflects a balanced contest but leans towards a 1-2 victory for Rosenborg at 9%.

    For punters seeking value, the away win offers an enticing prospect with odds of 2.55 at Nordicbet, presenting an 8% edge according to the model. Alternatively, a draw at odds of 3.9 with Nordicbet also presents a modest 3% edge. The game is poised on a knife-edge, but Rosenborg appears to have the upper hand in this encounter, backed by their scoring consistency and slight statistical superiority.

    SarpsborgSarpsborg
    Form DDDLW
    League ranking xG #9xGA #5xT #7xP/match #6Points #9
    Key players
    • Aimar SherCDMxG 0.06 · xT 0.12
    • Sondre SorliRWxG 0.20 · xT 0.14
    • Bjørn Inge UtvikCBxG 0.10 · xT 0.14
    RosenborgRosenborg
    Form LWWWD
    League ranking xG #5xGA #6xT #8xP/match #4Points #5
    Key players
    • Emil Konradsen CeideLWxG 0.19 · xT 0.19
    • Mikkel Konradsen CeideCBxG 0.05 · xT 0.06
    • Tomas NemcikCBxG 0.03 · xT 0.09
    Final score
    0 – 3
    The model called the outcome
    Predicted probabilities: Sarpsborg 31% · Draw 26% · Rosenborg 42%

    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 - Rosenborg BKBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,14fair 6,91-11 %
    Miss
    Matchresultat - Sarpsborg 08Båda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,15fair 8,37-38 %
    Miss

    Match prediction: Sarpsborg – Rosenborg

    Predicted score matrix

    Rosenborg →
    Sarpsborg →
    0
    1
    2
    3
    4+
    0
    0–04.6%
    0–16.8%
    0–25.9%
    0–33.2%
    0–4+1.9%
    1
    1–06.1%
    1–110.9%
    1–28.8%
    1–34.8%
    1–4+2.9%
    2
    2–04.8%
    2–18.0%
    2–26.6%
    2–33.6%
    2–4+2.1%
    3
    3–02.4%
    3–14.0%
    3–23.3%
    3–31.8%
    3–4+1.1%
    4+
    4+–01.3%
    4+–12.1%
    4+–21.7%
    4+–30.9%
    4+–4+0.6%
    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. 5.2-27%
    Expected goals
    1,50–1,65
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,1
    Under 2,539%
    @2.68EV+3%
    Over 2,561%
    @1.49

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Rosenborg or draw (X2)65%
    • Over 1.5 goals82%

    Combined probability

    54%

    Fair odds

    1.85

    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)65%
    • Over 2.5 goals61%
    • Amin Chiakha to score30%

    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 score63%
    • Over 2.5 goals61%
    • Amin Chiakha to score30%
    • 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+).

    • 2 · Rosenborg42% probability@2.82PinnacleEV+20%reference odds
    • 2 · Rosenborg42% probability@2.80NordicbetEV+19%reference odds
    • 2 · Rosenborg42% probability@2.78BetsafeEV+18%reference odds
    Bookmaker1 · SarpsborgX2 · Rosenborg
    Betsafe2.383.65
    EV+ 18%
    2.78
    LeoVegas2.353.70
    EV+ 12%
    2.65
    Nordicbet2.403.70
    EV+ 19%
    2.80
    Pinnacle2.32
    EV+ 7%
    4.05
    EV+ 20%
    2.82

    Odds updated 18 Oct, 13:36

    Odds movement

    Market signal

    The market has moved clearly towards a Sarpsborg win since 16 October — the odds have shortened from 2.53 to 2.32 (−8%).

    1-8 %
    42 %37 %

    2.53 → 2.32

    X+3 %
    27 %22 %

    3.92 → 4.05

    2+12 %
    38 %33 %

    2.51 → 2.82

    Pinnacle · 14 recorded price levels · 16/10/2026 → 18/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    Sarpsborg 2Draw 2Rosenborg 1
    Goals: 11–8 (⌀ 3,8)

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

    Key facts

    • Sarpsborg 08 dominate this fixture historically: 2 wins to 1 in 5 meetings.
    • A high-scoring fixture: 3.8 goals per meeting on average.
    • Rosenborg have scored in 12 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Sarpsborg
    Rosenborg
    When goals are scored and conceded — 2026
    Sarpsborg (28–31)
    Rosenborg (40–31)
    Pass networks

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

    Sarpsborg
    Marius Lode: 226 passningar, xT 0.41LodeBjørn Inge Utvik: 219 passningar, xT 0.37UtvikAimar Sher: 218 passningar, xT 0.68SherAnders Hiim: 208 passningar, xT 0.22HiimOlaus Jair Skarsem: 176 passningar, xT 0.48SkarsemClaus Niyukuri: 157 passningar, xT 0.33NiyukuriSander Christiansen: 138 passningar, xT 0.1ChristiansenLeander Oy: 100 passningar, xT 0.24OySondre Sorli: 91 passningar, xT 0.6SorliPeter Reinhardsen: 90 passningar, xT 0.06ReinhardsenVictor Emanuel Halvorsen: 78 passningar, xT 0.07Halvorsen
    Rosenborg
    Tomas Nemcik: 317 passningar, xT 0.62NemcikMikkel Konradsen Ceide: 275 passningar, xT 0.37CeideOle Selnaes: 257 passningar, xT 0.46SelnaesAdrian Pereira: 224 passningar, xT 0.97PereiraMads Bomholt: 177 passningar, xT 0.69BomholtAslak Fonn Witry: 177 passningar, xT 0.46WitryEmil Konradsen Ceide: 161 passningar, xT 0.86CeideSimen Bolkan Nordli: 115 passningar, xT 0.13NordliLeopold Wahlstedt: 111 passningar, xT 0.08WahlstedtNoah Sahsah: 90 passningar, xT 0.03SahsahMathias Ullereng Kjølø: 77 passningar, xT 0.08Kjølø
    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.

    Sarpsborg
    Marius Lode: 226 passningar, xT 0.41LodeBjørn Inge Utvik: 219 passningar, xT 0.37UtvikAimar Sher: 218 passningar, xT 0.68SherAnders Hiim: 208 passningar, xT 0.22HiimOlaus Jair Skarsem: 176 passningar, xT 0.48SkarsemClaus Niyukuri: 157 passningar, xT 0.33NiyukuriSander Christiansen: 138 passningar, xT 0.1ChristiansenLeander Oy: 100 passningar, xT 0.24OySondre Sorli: 91 passningar, xT 0.6SorliPeter Reinhardsen: 90 passningar, xT 0.06ReinhardsenVictor Emanuel Halvorsen: 78 passningar, xT 0.07Halvorsen
    Rosenborg
    Tomas Nemcik: 317 passningar, xT 0.62NemcikMikkel Konradsen Ceide: 275 passningar, xT 0.37CeideOle Selnaes: 257 passningar, xT 0.46SelnaesAdrian Pereira: 224 passningar, xT 0.97PereiraMads Bomholt: 177 passningar, xT 0.69BomholtAslak Fonn Witry: 177 passningar, xT 0.46WitryEmil Konradsen Ceide: 161 passningar, xT 0.86CeideSimen Bolkan Nordli: 115 passningar, xT 0.13NordliLeopold Wahlstedt: 111 passningar, xT 0.08WahlstedtNoah Sahsah: 90 passningar, xT 0.03SahsahMathias Ullereng Kjølø: 77 passningar, xT 0.08Kjølø

    The teams in numbers

    PerformanceSarpsborgRosenborg
    Points2834
    xPoints32.334.3
    xG per match1.51.8
    xGA per match1.51.5
    xG within 8s of winning the ball0.150.16
    xGA within 8s of losing the ball0.220.31
    Playing styleSarpsborgRosenborg
    Build-up efficiency0.360.33
    Field tilt0.390.56
    xT per match1.11.1
    xTA per match1.21.1
    Won balls, offensive half2228
    Pressing intensity0.240.24
    Pressing efficiency0.270.32
    Pressing efficiency, offensive half0.240.3
    Entries into the box per match1615
    Entries into the box against1914
    Pass completion %0.740.76
    Pass completion % under pressure0.690.71
    Passes per match331394
    Passes against per match428344
    Switches of play per match28.823
    Long balls per match3429
    Set piecesSarpsborgRosenborg
    xG from free kicks0.050.06
    Corners per match5.26.2
    Corners against per match5.35.7
    xG per corner0.030.03
    xGA per corner against0.020.04
    First touch, offensive corners %0.50.44
    First touch, defensive corners %0.680.6
    OtherSarpsborgRosenborg
    Throw-in control0.720.71
    The goalkeepersLeander Oy (Sarpsborg)Leopold Wahlstedt (Rosenborg)
    Saves4574
    Save %70%71%
    xG prevented49%48%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Hela spelschemat med svårighetsgrad per match: Sarpsborg spelschemaRosenborg spelschema

    Frequently asked questions

    Who wins Sarpsborg vs Rosenborg according to our model?

    The model gives Rosenborg a 42% win probability. Full 1X2 picture: Sarpsborg 31%, draw 26%, 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 61% and under at 39%.

    Will both teams score?

    The probability of both teams scoring is 63% according to the model.

    How many goals are expected in Sarpsborg vs Rosenborg?

    The model expects 1.50 goals (xG) for Sarpsborg and 1.65 for Rosenborg, 3.14 in total.

    What does the model say about double chance?

    Sarpsborg or draw (1X) 58%, Rosenborg or draw (X2) 69% and no draw (12) 74%.

    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.