Norwegian Eliteserien14°0,3 mm25 km/h

    Läs på svenska
    VålerengaVålerengaCounter-attacks & crosses
    vs
    FredrikstadFredrikstadBalanced & physical
    The model's lean: 1 · Vålerenga (48%)Best value by the model: X · Draw @ 3.94 (+4 %)

    Vålerenga vs Fredrikstad · Norwegian Eliteserien

    1 · Vålerenga 48%X 26%25% Fredrikstad · 2

    Analysis: VålerengaFredrikstad

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    With just three encounters since 2021, the direct history between Vålerenga and Fredrikstad is hardly a definitive guide. The hosts have yet to claim a victory in these meetings, having drawn two and lost one. But as any savvy bettor knows, a slight head-to-head advantage can be deceptive. It’s the here and now that often dictates outcomes more than past clashes.

    Vålerenga's season tells a tale of underachievement. Despite sitting five points behind their visitors, the underlying numbers whisper a different story. The hosts’ expected points stand at 26.9, comfortably eclipsing Fredrikstad’s 22.3. This suggests they’ve been playing better than their results suggest, perhaps due to misfortune or late-game lapses. Meanwhile, with an expected goals figure of 1.80 to Fredrikstad's 1.33, Vålerenga is the statistically stronger side, albeit marginally.

    The model’s lean towards Vålerenga at 48% is reinforced by their superior xG metrics. However, the most probable scoreline of 1-1 (11%) and a significant 60% chance of over 2.5 goals paint a picture of a competitive matchup. Both teams are likely to find the net, given the 62% BTTS probability. The playing styles add further intrigue, with Vålerenga's counter-attacking approach set to clash with Fredrikstad's balanced and physical game.

    Yet, the sharpest angle here might just be the draw. Priced at 3.9 with Betsson and Nordicbet, and 3.85 with Betsafe, there's a modest edge to be squeezed from the market. A 26% draw probability implies value, especially in a match where neither side looks distinctly dominant. For those looking beyond the surface, a punt on the stalemate might be the ticket.

    VålerengaVålerenga
    Form LDLDL
    League ranking xG #7xGA #9xT #5xP/match #8Points #11
    Key players
    • Henrik BjordalRWxG 0.20 · xT 0.18
    • Mathias GrundetjernFxG 0.39 · xT 0.04
    • Lucas Janus Ravn-HarenLWxG 0.35 · xT 0.07
    FredrikstadFredrikstad
    Form WWWLD
    League ranking xG #13xGA #14xT #13xP/match #16Points #7
    Key players
    • Daniel EidRWxG 0.07 · xT 0.25
    • Benjamin FaraasFxG 0.38 · xT 0.03
    • Henrik SkogvoldFxG 0.24 · xT 0.02

    Match prediction: VålerengaFredrikstad

    Predicted score matrix

    Fredrikstad
    Vålerenga
    0
    1
    2
    3
    4+
    0
    0–04.7%
    0–15.5%
    0–23.9%
    0–31.7%
    0–4+0.8%
    1
    1–07.6%
    1–110.8%
    1–27.0%
    1–33.1%
    1–4+1.4%
    2
    2–07.1%
    2–19.4%
    2–26.2%
    2–32.8%
    2–4+1.2%
    3
    3–04.3%
    3–15.6%
    3–23.7%
    3–31.7%
    3–4+0.7%
    4+
    4+–02.9%
    4+–13.8%
    4+–22.5%
    4+–31.1%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-08%
    4. 4.2-07%
    5. 5.1-27%
    Expected goals
    1,801,33
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,1
    Under 2,540%
    @2.52
    Over 2,560%
    @1.55

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Vålerenga to win48%
    • Over 1.5 goals82%

    Combined probability

    40%

    Fair odds

    2.47

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

    02 · 3 legs

    Balanced

    • Vålerenga to win48%
    • Over 2.5 goals60%
    • Mathias Grundetjern to score32%

    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 goals60%
    • Mathias Grundetjern to score32%
    • Samuel Ruben Leach Holm to be booked21%

    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+).

    • X · Draw26% probability@3.94PinnacleEV+4%reference odds
    Bookmaker1 · VålerengaX2 · Fredrikstad
    Betsafe1.983.653.55
    Betsson2.003.703.60
    Nordicbet2.003.703.60
    Pinnacle1.92
    EV+ 4%
    3.94
    3.62

    Odds updated 18 Sept, 12:37

    Odds movement

    Market signal

    The market has moved clearly towards an Fredrikstad win since 14 September — the odds have shortened from 4.05 to 3.62 (−11%).

    1+8 %
    54 %49 %

    1.781.92

    X-4 %
    26 %21 %

    4.103.94

    2-11 %
    27 %22 %

    4.053.62

    Pinnacle · 7 recorded price levels · 14/09/2026 → 18/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    3 matches
    Vålerenga 0Draw 2Fredrikstad 1
    Goals: 24 (⌀ 2)

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

    xG & xGA per match — 3-game rolling average

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

    Vålerenga
    Fredrikstad
    When goals are scored and conceded 2026
    Vålerenga (3342)
    Fredrikstad (2431)
    Pass networks

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

    Vålerenga
    Aaron Kiil Olsen: 302 passningar, xT 0.75OlsenKolbeinn Birgir Finnsson: 263 passningar, xT 1.2FinnssonCarl Lange: 245 passningar, xT 0.43LangeSebastian Jarl: 206 passningar, xT 0.5JarlHakon Sjatil: 183 passningar, xT 0.67SjatilMagnus Hee Westergaard: 140 passningar, xT 0WestergaardIvan Tarek Fjellstad Näsberg: 131 passningar, xT 0.23NäsbergOscar Thore Hedvall: 127 passningar, xT 0.29HedvallLucas Janus Ravn-Haren: 91 passningar, xT 0.28Ravn-HarenPetter Strand: 91 passningar, xT 0.38StrandGhayas Zahid: 50 passningar, xT 0.23Zahid
    Fredrikstad
    Fredrik Holme: 349 passningar, xT 0.33HolmeMax Mattias Nilsson: 270 passningar, xT 0.17NilssonIsak Helstad Amundsen: 253 passningar, xT 0.47AmundsenDaniel Eid: 210 passningar, xT 1.15EidSamuel Ruben Leach Holm: 199 passningar, xT 0.21HolmSolomon Owusu: 144 passningar, xT 0.29OwusuUlrik Fredriksen: 110 passningar, xT 0.13FredriksenMartin Borsheim: 109 passningar, xT 0.08BorsheimSondre Sorlokk: 79 passningar, xT 0.12SorlokkSimen Rafn: 76 passningar, xT 0.43RafnHenrik Skogvold: 72 passningar, xT 0.16Skogvold
    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.

    Vålerenga
    Aaron Kiil Olsen: 302 passningar, xT 0.75OlsenKolbeinn Birgir Finnsson: 263 passningar, xT 1.2FinnssonCarl Lange: 245 passningar, xT 0.43LangeSebastian Jarl: 206 passningar, xT 0.5JarlHakon Sjatil: 183 passningar, xT 0.67SjatilMagnus Hee Westergaard: 140 passningar, xT 0WestergaardIvan Tarek Fjellstad Näsberg: 131 passningar, xT 0.23NäsbergOscar Thore Hedvall: 127 passningar, xT 0.29HedvallLucas Janus Ravn-Haren: 91 passningar, xT 0.28Ravn-HarenPetter Strand: 91 passningar, xT 0.38StrandGhayas Zahid: 50 passningar, xT 0.23Zahid
    Fredrikstad
    Fredrik Holme: 349 passningar, xT 0.33HolmeMax Mattias Nilsson: 270 passningar, xT 0.17NilssonIsak Helstad Amundsen: 253 passningar, xT 0.47AmundsenDaniel Eid: 210 passningar, xT 1.15EidSamuel Ruben Leach Holm: 199 passningar, xT 0.21HolmSolomon Owusu: 144 passningar, xT 0.29OwusuUlrik Fredriksen: 110 passningar, xT 0.13FredriksenMartin Borsheim: 109 passningar, xT 0.08BorsheimSondre Sorlokk: 79 passningar, xT 0.12SorlokkSimen Rafn: 76 passningar, xT 0.43RafnHenrik Skogvold: 72 passningar, xT 0.16Skogvold

    The teams in numbers

    PerformanceVålerengaFredrikstad
    Points2227
    xPoints26.922.3
    xG per match1.61.2
    xGA per match1.71.9
    xG within 8s of winning the ball0.30.17
    xGA within 8s of losing the ball0.30.34
    Playing styleVålerengaFredrikstad
    Build-up efficiency0.350.36
    Field tilt0.520.42
    xT per match1.20.92
    xTA per match1.11.1
    Won balls, offensive half2624
    Pressing intensity0.230.24
    Pressing efficiency0.30.27
    Pressing efficiency, offensive half0.290.28
    Entries into the box per match1612
    Entries into the box against1615
    Pass completion %0.750.77
    Pass completion % under pressure0.70.72
    Passes per match371384
    Passes against per match376432
    Switches of play per match24.526.3
    Long balls per match3335
    Set piecesVålerengaFredrikstad
    xG from free kicks0.010.06
    Corners per match6.74.1
    Corners against per match5.75.9
    xG per corner0.030.03
    xGA per corner against0.030.03
    First touch, offensive corners %0.40.38
    First touch, defensive corners %0.560.52
    OtherVålerengaFredrikstad
    Throw-in control0.740.74
    The goalkeepersOscar Thore Hedvall (Vålerenga)Martin Borsheim (Fredrikstad)
    Saves6767
    Save %62%68%
    xG prevented46%41%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Vålerenga vs Fredrikstad according to our model?

    The model gives Vålerenga a 48% win probability. Full 1X2 picture: Vålerenga 48%, draw 26%, Fredrikstad 25%.

    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 60% and under at 40%.

    Will both teams score?

    The probability of both teams scoring is 62% 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.