Norwegian Eliteserien8,1 mm8 km/h

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    MoldeMoldePossession & high press
    vs
    AalesundAalesundLow block & direct
    The model's lean: 1 · Molde (71%)

    MoldeAalesund · Norwegian Eliteserien

    1 · Molde 71%X 16%13% Aalesund · 2

    Analysis: MoldeAalesund

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

    Aalesund have found the net in twelve straight league matches, a testament to their ability to break through defenses, even as they struggle overall. Molde, with a stronger record and higher expected goals, are rightly favored, but the visitors' scoring streak adds an intriguing layer. The model leans heavily toward a home win, giving the hosts a commanding 71% probability for victory. Yet, Aalesund's knack for scoring suggests they might complicate matters for Molde's high-pressing unit.

    The all-important expected goals paints a picture of Molde's dominance, with an xG of 2.44 against Aalesund's 1.17. This reflects a substantial gap in attacking potential, further supported by Molde's more efficient conversion of chances based on xPoints. However, Aalesund's recent scoring consistency shouldn't be ignored when considering both teams to score — a scenario the model supports 63% of the time.

    Rain could play a role in shaping the match's dynamics, potentially dampening the goal count, but the 70% probability for over 2.5 goals suggests the weather may not be a decisive factor. With the model tilting towards a 2-1 or 2-0 finish, goals are expected but perhaps not in an overwhelming fashion. Molde's superior all-time home win percentage of 57% underpins their favorability, yet the solitary head-to-head draw tempers expectations slightly — though it's too small a sample to carry significant weight.

    As for betting value, the numbers indicate a potential angle in backing "over 2.5 goals" at appealing odds if you find a bookmaker offering over even money, considering the hefty probability assigned by the model. Molde's probable win, paired with Aalesund's tenacity in front of goal, suggests a likely 2-1 scoreline, making this over/under bet an intriguing proposition for those looking to capitalize on what the market may have overlooked.

    MoldeMolde
    Form DLWDW
    League ranking xG #4xGA #3xT #4xP/match #6Points #4
    Key players
    • Fredrik GulbrandsenFxG 0.32 · xT 0.00
    • Eirik HestadRWxG 0.39 · xT 0.09
    • Trent Toure Koné-DohertyFxG 0.68 · xT 0.15
    AalesundAalesund
    Form LDDLW
    League ranking xG #9xGA #17xT #11xP/match #8Points #14
    Key players
    • Marcus Haagensen ReedFxG 0.40 · xT 0.03
    • Kristian Hemmingsen LonebuFxG 0.25 · xT 0.01
    • Endre Hjertager OsenbrochFxG 0.20 · xT 0.23

    Match prediction: MoldeAalesund

    Predicted score matrix

    Aalesund
    Molde
    0
    1
    2
    3
    4+
    0
    0–02.9%
    0–12.9%
    0–21.9%
    0–30.7%
    0–4+0.3%
    1
    1–06.4%
    1–18.0%
    1–24.5%
    1–31.8%
    1–4+0.7%
    2
    2–08.0%
    2–19.4%
    2–25.5%
    2–32.2%
    2–4+0.8%
    3
    3–06.5%
    3–17.7%
    3–24.5%
    3–31.8%
    3–4+0.7%
    4+
    4+–07.1%
    4+–18.3%
    4+–24.9%
    4+–31.9%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-19%
    2. 2.2-08%
    3. 3.1-18%
    4. 4.3-18%
    5. 5.3-07%
    Expected goals
    2,441,17
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,6
    Under 2,530%
    Over 2,570%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Molde to win71%
    • Over 1.5 goals88%

    Combined probability

    58%

    Fair odds

    1.71

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

    02 · 3 legs

    Balanced

    • Molde to win71%
    • Over 2.5 goals70%
    • Eirik Hestad to score33%

    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 goals70%
    • Eirik Hestad to score33%
    • Philip Sandvik Aukland to be booked20%

    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

    No odds available yet.

    Statistics

    Head-to-head

    1 matches
    Molde 0Draw 1Aalesund 0
    Goals: 22 (⌀ 4)

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

    Key facts

    • Aalesund have scored in 12 consecutive league matches.
    • Molde win 57% of their home matches all-time (40 played).
    xG & xGA per match — 3-game rolling average

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

    Molde
    Aalesund
    When goals are scored and conceded 2026
    Molde (3829)
    Aalesund (3043)
    Pass networks

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

    Molde
    Birk Risa: 415 passningar, xT 1.03RisaSamukelo Kabini: 272 passningar, xT 0.53KabiniSivert Sira Hansen: 267 passningar, xT 0.39HansenDaniel Daga: 225 passningar, xT 0.12DagaSondre Granaas: 203 passningar, xT 0.31GranaasEmil Breivik: 199 passningar, xT 0.42BreivikMartin Linnes: 194 passningar, xT 1.39LinnesOskar Spiten-Nysæter: 143 passningar, xT 0.27Spiten-NysæterAlbert Posiadała: 133 passningar, xT 0.13PosiadałaEirik Hestad: 120 passningar, xT 0.1HestadMathias Johan Fjørtoft Løvik: 87 passningar, xT 0.35Løvik
    Aalesund
    Mathias Minik Fals Schandorff Christensen: 165 passningar, xT 0.22ChristensenOlafur Gudmundsson: 165 passningar, xT 0.34GudmundssonElias Hagen: 149 passningar, xT 0.19HagenUba Charles: 121 passningar, xT 1.03CharlesEmil Patrik Engqvist: 101 passningar, xT 0.1EngqvistKristoffer Nesso: 96 passningar, xT 0.15NessoEndre Hjertager Osenbroch: 92 passningar, xT 0.66OsenbrochLuca Podlech: 85 passningar, xT 0.25PodlechMarius Andresen: 78 passningar, xT 0.82AndresenCheikh Mbacke Diop: 63 passningar, xT 0.04DiopHakon Butli Hammer: 59 passningar, xT 0.25Hammer
    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: 415 passningar, xT 1.03RisaSamukelo Kabini: 272 passningar, xT 0.53KabiniSivert Sira Hansen: 267 passningar, xT 0.39HansenDaniel Daga: 225 passningar, xT 0.12DagaSondre Granaas: 203 passningar, xT 0.31GranaasEmil Breivik: 199 passningar, xT 0.42BreivikMartin Linnes: 194 passningar, xT 1.39LinnesOskar Spiten-Nysæter: 143 passningar, xT 0.27Spiten-NysæterAlbert Posiadała: 133 passningar, xT 0.13PosiadałaEirik Hestad: 120 passningar, xT 0.1HestadMathias Johan Fjørtoft Løvik: 87 passningar, xT 0.35Løvik
    Aalesund
    Mathias Minik Fals Schandorff Christensen: 165 passningar, xT 0.22ChristensenOlafur Gudmundsson: 165 passningar, xT 0.34GudmundssonElias Hagen: 149 passningar, xT 0.19HagenUba Charles: 121 passningar, xT 1.03CharlesEmil Patrik Engqvist: 101 passningar, xT 0.1EngqvistKristoffer Nesso: 96 passningar, xT 0.15NessoEndre Hjertager Osenbroch: 92 passningar, xT 0.66OsenbrochLuca Podlech: 85 passningar, xT 0.25PodlechMarius Andresen: 78 passningar, xT 0.82AndresenCheikh Mbacke Diop: 63 passningar, xT 0.04DiopHakon Butli Hammer: 59 passningar, xT 0.25Hammer

    The teams in numbers

    PerformanceMoldeAalesund
    Points3118
    xPoints28.626.9
    xG per match1.81.6
    xGA per match1.32.1
    xG within 8s of winning the ball0.330.22
    xGA within 8s of losing the ball0.240.43
    Playing styleMoldeAalesund
    Build-up efficiency0.330.34
    Field tilt0.60.43
    xT per match1.30.95
    xTA per match0.991.5
    Won balls, offensive half2824
    Pressing intensity0.230.23
    Pressing efficiency0.290.28
    Pressing efficiency, offensive half0.260.25
    Entries into the box per match1713
    Entries into the box against1418
    Pass completion %0.810.72
    Pass completion % under pressure0.760.7
    Passes per match490302
    Passes against per match319420
    Switches of play per match25.315.4
    Long balls per match3225
    Set piecesMoldeAalesund
    xG from free kicks0.090.08
    Corners per match5.55.1
    Corners against per match4.27.6
    xG per corner0.050.04
    xGA per corner against0.060.04
    First touch, offensive corners %0.320.35
    First touch, defensive corners %0.540.51
    OtherMoldeAalesund
    Throw-in control0.710.7
    The goalkeepersAlbert Posiadała (Molde)Kristoffer Klaesson (Aalesund)
    Saves3841
    Save %66%68%
    xG prevented45%49%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Molde vs Aalesund according to our model?

    The model gives Molde a 71% win probability. Full 1X2 picture: Molde 71%, draw 16%, Aalesund 13%.

    What is the most likely scoreline?

    The model's most likely final score is 2-1 at 9% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 70% and under at 30%.

    Will both teams score?

    The probability of both teams scoring is 63% 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.