Norwegian Eliteserien17°3,2 mm29 km/h

    Läs på svenska
    TromsøTromsøPossession & high press
    00
    SarpsborgSarpsborgCounter-attacks & crosses
    The model's lean: 1 · Tromsø (51%)Best value by the model: 2 · Sarpsborg @ 5.45 (+37 %)

    TromsøSarpsborg · Norwegian Eliteserien

    1 · Tromsø 51%X 24%25% Sarpsborg · 2

    Analysis: TromsøSarpsborg

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

    Tromsø enters the match with a clear 51% probability of winning, setting the tone for a clash where the hosts are favored to edge out Sarpsborg. This is underpinned by Tromsø's superior points tally of 34 compared to the visitors' 22. Despite this, the expected goals suggest a slightly tighter battle, with Tromsø expected to score 1.60 to Sarpsborg's 1.21. The 1-1 draw emerges as the most likely scoreline at 12%, though the model leans towards a narrow home victory at 1-0 or 2-1.

    Digging deeper into the styles, Tromsø's possession and high press strategy contrasts sharply with Sarpsborg's counter-attacking and crossing game. This stylistic clash could lead to an open encounter, particularly given the slight edge the hosts hold in expected goals per match. Interestingly, both teams' expected goals against are identical at 1.4, suggesting that defensive vulnerabilities might be exposed. The probability of over 2.5 goals sits at 53%, just tipping the scales towards a higher-scoring game.

    However, the sharpest angle lies in the value bet on Sarpsborg at 5.45 odds with Betsson and Nordicbet, a tempting proposition given the model's 25% probability for an upset. This represents a solid 37% edge, an opportunity for those willing to bet against the grain.

    TromsøTromsø
    Form L
    League ranking xG #5xGA #7xT #5xP/match #5Points #3
    Key players
    • Daniel BrautFxG 0.55 · xT -0.02
    • Abubacarr Sedi KintehCBxG 0.04 · xT 0.21
    • Heine Asen LarsenFxG 0.52 · xT 0.04
    SarpsborgSarpsborg
    Form DWDLL
    League ranking xG #8xGA #6xT #8xP/match #4Points #10
    Key players
    • Daniel KarlsbakkFxG 0.40 · xT 0.07
    • Sondre SorliRWxG 0.22 · xT 0.10
    • Aimar SherCDMxG 0.07 · xT 0.08
    Final score
    00
    The model missed the outcome
    Predicted probabilities: Tromsø 51% · Draw 24% · Sarpsborg 25%

    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 - Sarpsborg 08Båda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 17,94fair 13,20+36 %
    Miss
    Matchresultat - TromsøBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 4,82fair 7,58-36 %
    Miss

    Match prediction: TromsøSarpsborg

    Predicted score matrix

    Sarpsborg
    Tromsø
    0
    1
    2
    3
    4+
    0
    0–06.4%
    0–17.0%
    0–24.4%
    0–31.8%
    0–4+0.7%
    1
    1–09.3%
    1–112.0%
    1–27.0%
    1–32.8%
    1–4+1.1%
    2
    2–07.7%
    2–19.3%
    2–25.6%
    2–32.3%
    2–4+0.9%
    3
    3–04.1%
    3–15.0%
    3–23.0%
    3–31.2%
    3–4+0.5%
    4+
    4+–02.3%
    4+–12.8%
    4+–21.7%
    4+–30.7%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-09%
    3. 3.2-19%
    4. 4.2-08%
    5. 5.1-27%
    Expected goals
    1,601,21
    Both teams to score
    56%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    @2.40EV+1%
    Over 2,553%
    @1.70

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Tromsø to win51%
    • Over 1.5 goals77%

    Combined probability

    37%

    Fair odds

    2.73

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

    02 · 3 legs

    Balanced

    • Tromsø to win51%
    • Over 2.5 goals53%
    • Lars Olden Larsen 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 score56%
    • Over 2.5 goals53%
    • Sander Johan Christiansen to score21%
    • David Mikael Edvardsson to be booked25%

    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 · Sarpsborg25% probability@5.45BetssonEV+37%reference odds
    • 2 · Sarpsborg25% probability@5.45NordicbetEV+37%reference odds
    • 2 · Sarpsborg25% probability@5.35BetsafeEV+34%reference odds
    Bookmaker1 · TromsøX2 · Sarpsborg
    Bet3651.554.00
    EV+ 32%
    5.25
    Betsafe1.604.05
    EV+ 34%
    5.35
    Betsson1.653.90
    EV+ 37%
    5.45
    Nordicbet1.624.10
    EV+ 37%
    5.45
    Pinnacle1.733.99
    EV+ 22%
    4.85

    Odds updated 30 Aug, 05:14

    Odds movement

    1+7 %
    60 %55 %

    1.611.73

    X-3 %
    26 %21 %

    4.103.99

    2-7 %
    22 %17 %

    5.244.85

    Pinnacle · 9 recorded price levels · 21/08/2026 → 30/08/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Tromsø
    Sarpsborg
    When goals are scored and conceded 2026
    Tromsø (3217)
    Sarpsborg (2023)
    Pass networks

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

    Tromsø
    Leon Hien: 55 passningar, xT 0.05HienRuben Yttergard Jenssen: 54 passningar, xT -0.06JenssenMathias Tonnessen: 52 passningar, xT 0.26TonnessenDavid Edvardsson: 43 passningar, xT -0.04EdvardssonIsak Vadebu: 40 passningar, xT 0.08VadebuAlexander Rickard Chadchai Thongla-Iad Warneryd: 25 passningar, xT -0.03WarnerydHeine Asen Larsen: 23 passningar, xT -0.02LarsenOle Christiaan Kristian Lauvli: 22 passningar, xT 0.05LauvliTroy Engseth Nyhammer: 18 passningar, xT 0.14NyhammerLars Olden Larsen: 17 passningar, xT -0.02LarsenIsak Mikael Dahlqvist: 17 passningar, xT 0.04Dahlqvist
    Sarpsborg
    Anders Hiim: 224 passningar, xT 1.24HiimAimar Sher: 208 passningar, xT 0.47SherBjørn Inge Utvik: 182 passningar, xT 0.29UtvikSander Christiansen: 153 passningar, xT 0.23ChristiansenMarius Lode: 136 passningar, xT 0.16LodeClaus Niyukuri: 129 passningar, xT 0.39NiyukuriLeander Oy: 115 passningar, xT 0.22OyMagnar Ødegaard: 108 passningar, xT 0.04ØdegaardEirik Wichne: 77 passningar, xT 0.54WichneOlaus Jair Skarsem: 74 passningar, xT 0.42SkarsemVictor Emanuel Halvorsen: 74 passningar, xT -0.01Halvorsen
    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.

    Tromsø
    Leon Hien: 55 passningar, xT 0.05HienRuben Yttergard Jenssen: 54 passningar, xT -0.06JenssenMathias Tonnessen: 52 passningar, xT 0.26TonnessenDavid Edvardsson: 43 passningar, xT -0.04EdvardssonIsak Vadebu: 40 passningar, xT 0.08VadebuAlexander Rickard Chadchai Thongla-Iad Warneryd: 25 passningar, xT -0.03WarnerydHeine Asen Larsen: 23 passningar, xT -0.02LarsenOle Christiaan Kristian Lauvli: 22 passningar, xT 0.05LauvliTroy Engseth Nyhammer: 18 passningar, xT 0.14NyhammerLars Olden Larsen: 17 passningar, xT -0.02LarsenIsak Mikael Dahlqvist: 17 passningar, xT 0.04Dahlqvist
    Sarpsborg
    Anders Hiim: 224 passningar, xT 1.24HiimAimar Sher: 208 passningar, xT 0.47SherBjørn Inge Utvik: 182 passningar, xT 0.29UtvikSander Christiansen: 153 passningar, xT 0.23ChristiansenMarius Lode: 136 passningar, xT 0.16LodeClaus Niyukuri: 129 passningar, xT 0.39NiyukuriLeander Oy: 115 passningar, xT 0.22OyMagnar Ødegaard: 108 passningar, xT 0.04ØdegaardEirik Wichne: 77 passningar, xT 0.54WichneOlaus Jair Skarsem: 74 passningar, xT 0.42SkarsemVictor Emanuel Halvorsen: 74 passningar, xT -0.01Halvorsen

    The teams in numbers

    PerformanceTromsøSarpsborg
    Points3422
    xPoints24.526.7
    xG per match1.71.6
    xGA per match1.41.4
    xG within 8s of winning the ball0.370.21
    xGA within 8s of losing the ball0.210.21
    Playing styleTromsøSarpsborg
    Build-up efficiency0.330.36
    Field tilt0.490.38
    xT per match1.21.1
    xTA per match1.11.1
    Won balls, offensive half2623
    Pressing intensity0.230.24
    Pressing efficiency0.240.26
    Pressing efficiency, offensive half0.230.23
    Entries into the box per match1615
    Entries into the box against1319
    Pass completion %0.80.74
    Pass completion % under pressure0.760.68
    Passes per match428316
    Passes against per match433420
    Switches of play per match23.324.8
    Long balls per match4332
    Set piecesTromsøSarpsborg
    xG from free kicks0.070.04
    Corners per match5.64.9
    Corners against per match4.55.2
    xG per corner0.060.04
    xGA per corner against0.040.03
    First touch, offensive corners %0.360.47
    First touch, defensive corners %0.550.67
    OtherTromsøSarpsborg
    Throw-in control0.750.71
    The goalkeepersJakob Haugaard (Tromsø)Mamour Ndiaye (Sarpsborg)
    Saves134
    Save %100%74%
    xG prevented100%54%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Tromsø vs Sarpsborg according to our model?

    The model gives Tromsø a 51% win probability. Full 1X2 picture: Tromsø 51%, draw 24%, Sarpsborg 25%.

    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 53% and under at 47%.

    Will both teams score?

    The probability of both teams scoring is 56% 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.

    More matches in the league

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