Norwegian Eliteserien5°18 km/h

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    RosenborgRosenborgCounter-attacks & crosses
    vs
    SandefjordSandefjordPossession control
    The model's lean: 1 · Rosenborg (61%)Best value by the model: 2 · Sandefjord @ 7.90 (+42 %)

    Rosenborg vs Sandefjord · Norwegian Eliteserien

    1 · Rosenborg 61%X 21%18% Sandefjord · 2

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    Analysis: Rosenborg – Sandefjord

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

    Rosenborg have the upper hand in their recent head-to-head battles with Sandefjord, two wins to one across a small sample of five meetings. The hosts' form further bolsters their position, coming off three consecutive victories. Scoring in 11 straight league matches, Rosenborg’s attack is firing, which is reflected in the expected goals: 2.19 compared to Sandefjord's 1.15.

    The visitors prefer possession control, yet they have struggled to convert this style into consistent results, indicated by their lower point tally and expected points compared to Rosenborg. Sandefjord have also conceded more goals on average per match, which could be exacerbated by the predicted rainy conditions, likely to favour Rosenborg’s counter-attacking and cross-heavy approach.

    Most likely scorelines favor the home side: a 2-1 victory at 10% likelihood is the frontrunner, followed by a 1-1 draw at 9% and a 2-0 win at 8%. The model underscores an inclination towards over 2.5 goals, with a strong 65% possibility. This is consistent with the offensive tendencies of both teams and Rosenborg’s recent scoring run.

    Despite these insights, there is value on Sandefjord with LeoVegas offering odds of 6.25 for an away win, a market discrepancy given the model's 18% probability. While the odds for a draw at 4.8 offer no edge, this clash sets up an intriguing potential upset, albeit against the grain of form and underlying numbers. The smart money leans towards Rosenborg, but poking at the value on Sandefjord might tempt the bold.

    RosenborgRosenborg
    Form WLWWW
    League ranking xG #6xGA #6xT #8xP/match #5Points #5
    Key players
    • Emil Konradsen CeideLWxG 0.18 · xT 0.19
    • Amin ChiakhaFxG 0.53 · xT 0.03
    • Simen Bolkan NordliLWxG 0.34 · xT 0.10
    SandefjordSandefjord
    Form WDDLW
    League ranking xG #12xGA #11xT #10xP/match #13Points #11
    Key players
    • Evangelos PatoulidisRWxG 0.17 · xT 0.23
    • Jakob DunsbyLWxG 0.24 · xT 0.22
    • Zinedin SmajlovicCBxG 0.04 · xT 0.12

    Match prediction: Rosenborg – Sandefjord

    Predicted score matrix

    Sandefjord →
    Rosenborg →
    0
    1
    2
    3
    4+
    0
    0–03.8%
    0–13.8%
    0–22.3%
    0–30.9%
    0–4+0.3%
    1
    1–07.5%
    1–19.2%
    1–25.1%
    1–32.0%
    1–4+0.7%
    2
    2–08.5%
    2–19.8%
    2–25.6%
    2–32.2%
    2–4+0.8%
    3
    3–06.2%
    3–17.1%
    3–24.1%
    3–31.6%
    3–4+0.6%
    4+
    4+–05.6%
    4+–16.5%
    4+–23.7%
    4+–31.4%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-110%
    2. 2.1-19%
    3. 3.2-08%
    4. 4.1-08%
    5. 5.3-17%
    Expected goals
    2,19–1,15
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,3
    Under 2,535%
    @2.82
    Over 2,565%
    @1.45

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Rosenborg to win61%
    • Over 1.5 goals85%

    Combined probability

    53%

    Fair odds

    1.89

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

    02 · 3 legs

    Balanced

    • Rosenborg to win61%
    • Over 2.5 goals65%
    • Amin Chiakha to score31%

    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 score61%
    • Over 2.5 goals65%
    • Amin Chiakha to score31%
    • Zinedin Smajlović to be booked24%

    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 · Sandefjord18% probability@7.90NordicbetEV+42%reference odds
    • 2 · Sandefjord18% probability@7.80BetsafeEV+40%reference odds
    • 2 · Sandefjord18% probability@6.25LeoVegasEV+12%reference odds
    Bookmaker1 · RosenborgX2 · Sandefjord
    Betsafe1.39
    EV+ 0%
    4.80
    EV+ 40%
    7.80
    LeoVegas1.36
    EV+ 0%
    4.80
    EV+ 12%
    6.25
    Nordicbet1.40
    EV+ 1%
    4.85
    EV+ 42%
    7.90

    Odds updated 2 Oct, 07:36

    Statistics

    Head-to-head

    5 matches
    Rosenborg 2Draw 2Sandefjord 1
    Goals: 4–3 (⌀ 1,4)

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

    Key facts

    • Rosenborg dominate this fixture historically: 2 wins to 1 in 5 meetings.
    • Rosenborg come into this round on 3 straight wins.
    • Rosenborg have scored in 11 consecutive league matches.
    • Rosenborg win 59% of their home matches all-time (41 played).
    xG & xGA per match — 3-game rolling average

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

    Rosenborg
    Sandefjord
    When goals are scored and conceded — 2026
    Rosenborg (39–30)
    Sandefjord (21–27)
    Pass networks

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

    Rosenborg
    Tomas Nemcik: 320 passningar, xT 0.62NemcikOle Selnaes: 281 passningar, xT 0.46SelnaesMikkel Konradsen Ceide: 266 passningar, xT 0.39CeideAdrian Pereira: 209 passningar, xT 0.66PereiraMads Bomholt: 176 passningar, xT 0.69BomholtAslak Fonn Witry: 166 passningar, xT 0.59WitryEmil Konradsen Ceide: 160 passningar, xT 0.64CeideNoah Sahsah: 100 passningar, xT 0.12SahsahLeopold Wahlstedt: 97 passningar, xT 0.12WahlstedtSimen Bolkan Nordli: 93 passningar, xT 0.05NordliJonas Svensson: 71 passningar, xT 0.25Svensson
    Sandefjord
    Xander Lambrix: 257 passningar, xT 0.64LambrixSander Risan Mork: 203 passningar, xT 0.35MorkTobias Borchgrevink Børkeeiet: 189 passningar, xT 0.4BørkeeietRasmus Holten: 173 passningar, xT 0.31HoltenElias Hadaya: 165 passningar, xT 0.15HadayaFredrik Carson Pedersen: 155 passningar, xT 0.01PedersenVetle Walle Egeli: 147 passningar, xT 0.3EgeliHakon Krogelien: 128 passningar, xT 0.31KrogelienJakob Dunsby: 85 passningar, xT 0.34DunsbyEdvard Sundbø Pettersen: 79 passningar, xT 0.26PettersenEvangelos Patoulidis: 77 passningar, xT 0.41Patoulidis
    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.

    Rosenborg
    Tomas Nemcik: 320 passningar, xT 0.62NemcikOle Selnaes: 281 passningar, xT 0.46SelnaesMikkel Konradsen Ceide: 266 passningar, xT 0.39CeideAdrian Pereira: 209 passningar, xT 0.66PereiraMads Bomholt: 176 passningar, xT 0.69BomholtAslak Fonn Witry: 166 passningar, xT 0.59WitryEmil Konradsen Ceide: 160 passningar, xT 0.64CeideNoah Sahsah: 100 passningar, xT 0.12SahsahLeopold Wahlstedt: 97 passningar, xT 0.12WahlstedtSimen Bolkan Nordli: 93 passningar, xT 0.05NordliJonas Svensson: 71 passningar, xT 0.25Svensson
    Sandefjord
    Xander Lambrix: 257 passningar, xT 0.64LambrixSander Risan Mork: 203 passningar, xT 0.35MorkTobias Borchgrevink Børkeeiet: 189 passningar, xT 0.4BørkeeietRasmus Holten: 173 passningar, xT 0.31HoltenElias Hadaya: 165 passningar, xT 0.15HadayaFredrik Carson Pedersen: 155 passningar, xT 0.01PedersenVetle Walle Egeli: 147 passningar, xT 0.3EgeliHakon Krogelien: 128 passningar, xT 0.31KrogelienJakob Dunsby: 85 passningar, xT 0.34DunsbyEdvard Sundbø Pettersen: 79 passningar, xT 0.26PettersenEvangelos Patoulidis: 77 passningar, xT 0.41Patoulidis

    The teams in numbers

    PerformanceRosenborgSandefjord
    Points3323
    xPoints31.725.7
    xG per match1.71.3
    xGA per match1.61.8
    xG within 8s of winning the ball0.170.29
    xGA within 8s of losing the ball0.320.26
    Playing styleRosenborgSandefjord
    Build-up efficiency0.330.29
    Field tilt0.550.42
    xT per match1.10.98
    xTA per match1.11.4
    Won balls, offensive half2824
    Pressing intensity0.240.25
    Pressing efficiency0.320.28
    Pressing efficiency, offensive half0.30.26
    Entries into the box per match1512
    Entries into the box against1419
    Pass completion %0.760.78
    Pass completion % under pressure0.70.73
    Passes per match392397
    Passes against per match346386
    Switches of play per match23.228.2
    Long balls per match2938
    Set piecesRosenborgSandefjord
    xG from free kicks0.060.01
    Corners per match6.15.5
    Corners against per match5.96.4
    xG per corner0.030.02
    xGA per corner against0.040.03
    First touch, offensive corners %0.440.37
    First touch, defensive corners %0.610.6
    OtherRosenborgSandefjord
    Throw-in control0.70.69
    The goalkeepersLeopold Wahlstedt (Rosenborg)Elias Hadaya (Sandefjord)
    Saves7172
    Save %71%73%
    xG prevented48%55%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Rosenborg vs Sandefjord according to our model?

    The model gives Rosenborg a 61% win probability. Full 1X2 picture: Rosenborg 61%, draw 21%, Sandefjord 18%.

    What is the most likely scoreline?

    The model's most likely final score is 2-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 65% and under at 35%.

    Will both teams score?

    The probability of both teams scoring is 61% 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.