Norwegian Eliteserien13°10,8 mm21 km/h

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    MoldeMoldePossession control
    20
    KFUMKFUMBalanced & physical
    The model's lean: 1 · Molde (63%)Best value by the model: Under 1,5 @ 7.60 (+50 %)

    MoldeKFUM · Norwegian Eliteserien

    1 · Molde 63%X 22%15% KFUM · 2

    Analysis: MoldeKFUM

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

    Molde's firm grip on possession control often defines their matches, but in the clash against KFUM, there's an intriguing contrast in styles. The home team edges the visitors in expected goals (xG) and expected points (xPoints), suggesting an underlying strength that the league table already hints at. Yet, Molde's historical dominance at home—winning 56% of their matches—doesn't extend to their head-to-head record against KFUM. The sample is small, with only five meetings since 2021, yet the visitors have managed to assert themselves with two wins to Molde's one.

    The models paint a picture of an encounter where Molde should have the upper hand. A 63% win probability and expected goals tilted in their favor (2.03 to 0.97) suggest the hosts are likely to capitalize on their attacking prowess. However, KFUM's physicality and balanced approach shouldn't be underestimated, especially given the historical trend of high-scoring affairs—an average of 3.6 goals per meeting in their past five encounters.

    Both teams to score (54% probability) and the over 2.5 goals lean (58%) highlight the likelihood of a match that doesn't shy away from action, rain and all. The weather, with expected rain of 2.4 mm, typically dampens scoring, but this is already factored into the model, which still anticipates goals.

    Despite the model's lean towards Molde and the narrow margins in expected goals, the sharpest angle lies elsewhere. With odds as high as 9.4 on KFUM winning at Betsson and Nordicbet, and 9.2 at Betsafe, there's clear value in betting on the underdogs. The model rates the visitors' chances at 15%, offering a substantial edge of over 40% at those odds. While Molde remains favorites, the price on KFUM is too tempting to ignore.

    MoldeMolde
    Form WDLWD
    League ranking xG #4xGA #5xT #4xP/match #6Points #4
    Key players
    • Fredrik GulbrandsenFxG 0.32 · xT 0.00
    • Eirik HestadRWxG 0.39 · xT 0.09
    • Trent Toure Koné-DohertyFxG 0.69 · xT 0.17
    KFUMKFUM
    Form LWWDL
    League ranking xG #17xGA #11xT #12xP/match #15Points #13
    Key players
    • Bilal NjieFxG 0.36 · xT 0.07
    • Teodor Berg HaltvikFxG 0.39 · xT 0.06
    • Magnus Wolff EikremFxG 0.14 · xT 0.31
    Final score
    20
    The model called the outcome
    Predicted probabilities: Molde 63% · Draw 22% · KFUM 15%

    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 - KFUM OsloBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 18,69fair 23,21-19 %
    Miss
    Matchresultat - MoldeBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 2,87fair 5,29-46 %
    Miss

    Match prediction: MoldeKFUM

    Predicted score matrix

    KFUM
    Molde
    0
    1
    2
    3
    4+
    0
    0–05.3%
    0–14.6%
    0–22.3%
    0–30.8%
    0–4+0.2%
    1
    1–09.9%
    1–110.1%
    1–24.7%
    1–31.5%
    1–4+0.5%
    2
    2–010.3%
    2–110.0%
    2–24.8%
    2–31.6%
    2–4+0.5%
    3
    3–07.0%
    3–16.7%
    3–23.3%
    3–31.0%
    3–4+0.3%
    4+
    4+–05.6%
    4+–15.4%
    4+–22.6%
    4+–30.8%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-010%
    2. 2.1-110%
    3. 3.2-110%
    4. 4.1-010%
    5. 5.3-07%
    Expected goals
    2,030,97
    Both teams to score
    54%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    @3.40EV+40%
    Over 2,558%
    @1.33

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Molde to win63%
    • Over 1.5 goals80%

    Combined probability

    52%

    Fair odds

    1.93

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

    02 · 3 legs

    Balanced

    • Molde to win63%
    • Over 2.5 goals58%
    • Jacob Steen Vestergaard Christensen 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 score54%
    • Over 2.5 goals58%
    • Jacob Steen Vestergaard Christensen to score32%
    • Robin Gravli Rasch to be booked23%

    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 1.520% probability@7.60NordicbetEV+50%reference odds
    • Under 1.520% probability@7.50BetssonEV+48%reference odds
    • Under 2.542% probability@3.40NordicbetEV+44%reference odds
    Bookmaker1 · MoldeX2 · KFUM
    Betsafe1.32
    EV+ 13%
    5.25
    EV+ 40%
    9.20
    Betsson1.33
    EV+ 14%
    5.30
    EV+ 43%
    9.40
    Nordicbet1.33
    EV+ 14%
    5.30
    EV+ 43%
    9.40
    Pinnacle1.31
    EV+ 31%
    6.08
    EV+ 24%
    8.11

    Odds updated 6 Sept, 11:36

    Odds movement

    1-3 %
    74 %69 %

    1.361.31

    X+13 %
    19 %14 %

    5.376.08

    2+7 %
    15 %10 %

    7.608.11

    Pinnacle · 16 recorded price levels · 31/08/2026 → 06/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    Molde 1Draw 2KFUM 2
    Goals: 99 (⌀ 3,6)

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

    Key facts

    • KFUM dominate this fixture historically: 2 wins to 1 in 5 meetings.
    • A high-scoring fixture: 3.6 goals per meeting on average.
    • Molde win 56% of their home matches all-time (39 played).
    xG & xGA per match — 3-game rolling average

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

    Molde
    KFUM
    When goals are scored and conceded 2026
    Molde (3629)
    KFUM (2031)
    Pass networks

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

    Molde
    Birk Risa: 385 passningar, xT 0.94RisaSivert Sira Hansen: 323 passningar, xT 0.42HansenSamukelo Kabini: 246 passningar, xT 0.19KabiniSondre Granaas: 245 passningar, xT 0.42GranaasDaniel Daga: 211 passningar, xT 0.09DagaEmil Breivik: 209 passningar, xT 0.56BreivikEirik Hestad: 167 passningar, xT 0.13HestadMartin Linnes: 142 passningar, xT 0.93LinnesAlbert Posiadała: 135 passningar, xT 0.14PosiadałaOskar Spiten-Nysæter: 125 passningar, xT 0.31Spiten-NysæterMathias Johan Fjørtoft Løvik: 113 passningar, xT 0.44Løvik
    KFUM
    Daniel Schneider: 216 passningar, xT 0.34SchneiderBrage Skaret: 155 passningar, xT 0.26SkaretJonas Lange Hjorth: 131 passningar, xT 0.04HjorthMartin Tangen Vinjor: 111 passningar, xT 0.02VinjorHakon Helland Hoseth: 102 passningar, xT 0.18HosethHåkon Røsten: 87 passningar, xT 0.18RøstenTore Andre Soras: 80 passningar, xT 0.06SorasRobin Rasch: 79 passningar, xT 0.16RaschJacob Blixt Flaten: 71 passningar, xT 0.21FlatenRasmus Eggen Vinge: 69 passningar, xT 0.42VingeHavar Jenssen: 67 passningar, xT 0.16Jenssen
    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.

    Molde
    Birk Risa: 385 passningar, xT 0.94RisaSivert Sira Hansen: 323 passningar, xT 0.42HansenSamukelo Kabini: 246 passningar, xT 0.19KabiniSondre Granaas: 245 passningar, xT 0.42GranaasDaniel Daga: 211 passningar, xT 0.09DagaEmil Breivik: 209 passningar, xT 0.56BreivikEirik Hestad: 167 passningar, xT 0.13HestadMartin Linnes: 142 passningar, xT 0.93LinnesAlbert Posiadała: 135 passningar, xT 0.14PosiadałaOskar Spiten-Nysæter: 125 passningar, xT 0.31Spiten-NysæterMathias Johan Fjørtoft Løvik: 113 passningar, xT 0.44Løvik
    KFUM
    Daniel Schneider: 216 passningar, xT 0.34SchneiderBrage Skaret: 155 passningar, xT 0.26SkaretJonas Lange Hjorth: 131 passningar, xT 0.04HjorthMartin Tangen Vinjor: 111 passningar, xT 0.02VinjorHakon Helland Hoseth: 102 passningar, xT 0.18HosethHåkon Røsten: 87 passningar, xT 0.18RøstenTore Andre Soras: 80 passningar, xT 0.06SorasRobin Rasch: 79 passningar, xT 0.16RaschJacob Blixt Flaten: 71 passningar, xT 0.21FlatenRasmus Eggen Vinge: 69 passningar, xT 0.42VingeHavar Jenssen: 67 passningar, xT 0.16Jenssen

    The teams in numbers

    PerformanceMoldeKFUM
    Points2819
    xPoints26.621.1
    xG per match1.81
    xGA per match1.31.6
    xG within 8s of winning the ball0.320.18
    xGA within 8s of losing the ball0.260.23
    Playing styleMoldeKFUM
    Build-up efficiency0.330.35
    Field tilt0.590.42
    xT per match1.30.96
    xTA per match11.2
    Won balls, offensive half2723
    Pressing intensity0.230.23
    Pressing efficiency0.290.27
    Pressing efficiency, offensive half0.260.26
    Entries into the box per match1712
    Entries into the box against1516
    Pass completion %0.810.73
    Pass completion % under pressure0.750.71
    Passes per match483336
    Passes against per match326427
    Switches of play per match23.918.6
    Long balls per match3127
    Set piecesMoldeKFUM
    xG from free kicks0.10.01
    Corners per match5.34.2
    Corners against per match4.35
    xG per corner0.050.03
    xGA per corner against0.060.07
    First touch, offensive corners %0.310.38
    First touch, defensive corners %0.540.56
    OtherMoldeKFUM
    Throw-in control0.70.72
    The goalkeepersAlbert Posiadała (Molde)Havar Jenssen (KFUM)
    Saves3727
    Save %65%60%
    xG prevented44%33%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Molde vs KFUM according to our model?

    The model gives Molde a 63% win probability. Full 1X2 picture: Molde 63%, draw 22%, KFUM 15%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 58% and under at 42%.

    Will both teams score?

    The probability of both teams scoring is 54% 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.