Norwegian Eliteserien6°10 km/h

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    KFUMKFUMBalanced & physical
    2–1
    VålerengaVålerengaBalanced & physical
    The model's lean: 2 · Vålerenga (44%)Best value by the model: X · Draw @ 3.75 (+2 %)

    KFUM vs Vålerenga · Norwegian Eliteserien

    1 · KFUM 29%X 27%44% Vålerenga · 2

    Prediction summary

    Final score 2–1. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for KFUM vs Vålerenga (Norwegian Eliteserien, Monday, 12 October 2026): KFUM win 29%, draw 27%, Vålerenga win 44%. Expected goals (xG): KFUM 1.32, Vålerenga 1.74. Most likely score: 1-1 (11%). Over 2.5 goals 59%, both teams to score 61%. Double chance: KFUM or draw 56%, Vålerenga or draw 71%. Prediction updated Friday, 2 October 2026.

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    Analysis: KFUM – Vålerenga

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

    The numbers suggest a distinct advantage for Vålerenga as they prepare to visit KFUM, with a 44% probability of victory according to the model. The clash between these two balanced and physical sides is expected to be tight, but Vålerenga's slight superiority in expected goals and expected points gives them the upper hand. A 1-1 draw is the most likely scoreline at 11%, yet the visitors are favored for a 1-2 win at 9%, highlighting their potential to edge this contest.

    Despite being two points behind KFUM in the standings, Vålerenga's expected points (29.0) tell a different story, suggesting they have performed better than their league position indicates. Their attacking prowess, with an xG of 1.6 per match compared to KFUM’s 1.1, is a key factor. This offensive edge, coupled with a slightly better defensive record (xGA 1.6 to 1.8), paints the picture of a team that should, perhaps, have more points on the board.

    The head-to-head record, albeit from a small sample of three games, shows a slight edge for Vålerenga with one win and two draws. While not definitive, it reinforces the model's leaning towards the visitors. The odds offered by LeoVegas and Nordicbet at 2.3 present a minor value opportunity (1% edge) for betting on an away win, aligning with the statistical lean.

    With a 59% chance of over 2.5 goals and both teams likely to score, the match looks set to be open and high-scoring. However, for those looking for an alternative betting angle, the under 2.5 goals market at 2.48 with Nordicbet also presents a marginal value based on the model’s 41% rating. Either way, the spotlight is on Vålerenga to capitalize on their statistical edge and claim a narrow victory.

    KFUMKFUM
    Form DLLWW
    League ranking xG #16xGA #10xT #14xP/match #14Points #11
    Key players
    • Teodor Berg HaltvikFxG 0.37 · xT 0.07
    • Bilal NjieLWxG 0.34 · xT 0.08
    • Magnus Wolff EikremFxG 0.14 · xT 0.29
    VålerengaVålerenga
    Form DLDLD
    League ranking xG #7xGA #9xT #5xP/match #7Points #13
    Key players
    • Carl LangeCMxG 0.15 · xT 0.12
    • Henrik BjordalRWxG 0.20 · xT 0.18
    • Sebastian JarlCBxG 0.08 · xT 0.12
    Final score
    2 – 1
    The model missed the outcome
    Predicted probabilities: KFUM 29% · Draw 27% · Vålerenga 44%

    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 - VålerengaBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,59fair 6,28-11 %
    Miss
    Matchresultat - KFUM OsloBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 7,14fair 10,93-35 %
    Miss

    Match prediction: KFUM – Vålerenga

    Predicted score matrix

    Vålerenga →
    KFUM →
    0
    1
    2
    3
    4+
    0
    0–05.0%
    0–17.8%
    0–27.1%
    0–34.1%
    0–4+2.7%
    1
    1–05.8%
    1–111.1%
    1–29.4%
    1–35.5%
    1–4+3.5%
    2
    2–04.1%
    2–17.1%
    2–26.2%
    2–33.6%
    2–4+2.3%
    3
    3–01.8%
    3–13.1%
    3–22.7%
    3–31.6%
    3–4+1.0%
    4+
    4+–00.8%
    4+–11.4%
    4+–21.2%
    4+–30.7%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-29%
    3. 3.0-18%
    4. 4.2-17%
    5. 5.0-27%
    Expected goals
    1,32–1,74
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,1
    Under 2,541%
    @2.40
    Over 2,559%
    @1.58

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Vålerenga or draw (X2)71%
    • Over 1.5 goals81%

    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

    • Double chance Vålerenga or draw (X2)71%
    • Over 2.5 goals59%
    • Mathias Grundetjern to score30%

    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 goals59%
    • Mathias Grundetjern to score30%
    • Magnus Hee Westergaard 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

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • X · Draw27% probability@3.75PinnacleEV+2%reference odds
    • 2 · Vålerenga44% probability@2.30NordicbetEV+1%reference odds
    • 2 · Vålerenga44% probability@2.30PinnacleEV+1%reference odds
    Bookmaker1 · KFUMX2 · Vålerenga
    Betsafe2.903.65
    EV+ 1%
    2.28
    LeoVegas2.853.602.25
    Nordicbet2.95
    EV+ 0%
    3.70
    EV+ 1%
    2.30
    Pinnacle3.02
    EV+ 2%
    3.75
    EV+ 1%
    2.30

    Odds updated 12 Oct, 13:35

    Odds movement

    1+6 %
    35 %30 %

    2.84 → 3.02

    X0 %
    28 %23 %

    3.74 → 3.75

    2-1 %
    44 %39 %

    2.33 → 2.30

    Pinnacle · 9 recorded price levels · 10/10/2026 → 12/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    3 matches
    KFUM 0Draw 2Vålerenga 1
    Goals: 3–4 (⌀ 2,3)

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

    xG & xGA per match — 3-game rolling average

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

    KFUM
    Vålerenga
    When goals are scored and conceded — 2026
    KFUM (25–35)
    Vålerenga (34–43)
    Pass networks

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

    KFUM
    Brage Skaret: 180 passningar, xT 0.28SkaretHåkon Røsten: 150 passningar, xT 0.28RøstenFredrik Tobias Berglie: 134 passningar, xT 0.14BerglieJonas Lange Hjorth: 132 passningar, xT 0.1HjorthMartin Tangen Vinjor: 117 passningar, xT 0.02VinjorHakon Helland Hoseth: 112 passningar, xT 0.15HosethDaniel Schneider: 100 passningar, xT 0.15SchneiderJacob Blixt Flaten: 89 passningar, xT 0.21FlatenEirik Saunes: 87 passningar, xT 0.21SaunesEmil Ødegaard: 61 passningar, xT 0.12ØdegaardBilal Njie: 54 passningar, xT 0.44Njie
    Vålerenga
    Aaron Kiil Olsen: 320 passningar, xT 0.79OlsenKolbeinn Birgir Finnsson: 256 passningar, xT 1.1FinnssonCarl Lange: 247 passningar, xT 0.4LangeSebastian Jarl: 237 passningar, xT 0.33JarlHakon Sjatil: 235 passningar, xT 1.13SjatilMagnus Hee Westergaard: 160 passningar, xT -0.11WestergaardOscar Thore Hedvall: 129 passningar, xT 0.29HedvallIvan Tarek Fjellstad Näsberg: 88 passningar, xT 0.12NäsbergGhayas Zahid: 82 passningar, xT 0.27ZahidLucas Janus Ravn-Haren: 82 passningar, xT 0.85Ravn-HarenPetter Strand: 80 passningar, xT 0.09Strand
    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.

    KFUM
    Brage Skaret: 180 passningar, xT 0.28SkaretHåkon Røsten: 150 passningar, xT 0.28RøstenFredrik Tobias Berglie: 134 passningar, xT 0.14BerglieJonas Lange Hjorth: 132 passningar, xT 0.1HjorthMartin Tangen Vinjor: 117 passningar, xT 0.02VinjorHakon Helland Hoseth: 112 passningar, xT 0.15HosethDaniel Schneider: 100 passningar, xT 0.15SchneiderJacob Blixt Flaten: 89 passningar, xT 0.21FlatenEirik Saunes: 87 passningar, xT 0.21SaunesEmil Ødegaard: 61 passningar, xT 0.12ØdegaardBilal Njie: 54 passningar, xT 0.44Njie
    Vålerenga
    Aaron Kiil Olsen: 320 passningar, xT 0.79OlsenKolbeinn Birgir Finnsson: 256 passningar, xT 1.1FinnssonCarl Lange: 247 passningar, xT 0.4LangeSebastian Jarl: 237 passningar, xT 0.33JarlHakon Sjatil: 235 passningar, xT 1.13SjatilMagnus Hee Westergaard: 160 passningar, xT -0.11WestergaardOscar Thore Hedvall: 129 passningar, xT 0.29HedvallIvan Tarek Fjellstad Näsberg: 88 passningar, xT 0.12NäsbergGhayas Zahid: 82 passningar, xT 0.27ZahidLucas Janus Ravn-Haren: 82 passningar, xT 0.85Ravn-HarenPetter Strand: 80 passningar, xT 0.09Strand

    The teams in numbers

    PerformanceKFUMVålerenga
    Points2523
    xPoints2529
    xG per match1.11.6
    xGA per match1.81.6
    xG within 8s of winning the ball0.20.3
    xGA within 8s of losing the ball0.250.29
    Playing styleKFUMVålerenga
    Build-up efficiency0.350.35
    Field tilt0.40.52
    xT per match0.91.2
    xTA per match1.31.1
    Won balls, offensive half2326
    Pressing intensity0.230.23
    Pressing efficiency0.270.3
    Pressing efficiency, offensive half0.250.29
    Entries into the box per match1216
    Entries into the box against1716
    Pass completion %0.720.75
    Pass completion % under pressure0.70.7
    Passes per match326373
    Passes against per match441380
    Switches of play per match19.324.7
    Long balls per match2833
    Set piecesKFUMVålerenga
    xG from free kicks0.010.01
    Corners per match4.16.8
    Corners against per match5.55.7
    xG per corner0.020.03
    xGA per corner against0.050.03
    First touch, offensive corners %0.340.41
    First touch, defensive corners %0.530.57
    OtherKFUMVålerenga
    Throw-in control0.720.73
    The goalkeepersEmil Ødegaard (KFUM)Oscar Thore Hedvall (Vålerenga)
    Saves3668
    Save %74%61%
    xG prevented57%46%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Hela spelschemat med svårighetsgrad per match: KFUM spelschemaVålerenga spelschema

    Frequently asked questions

    Who wins KFUM vs Vålerenga according to our model?

    The model gives Vålerenga a 44% win probability. Full 1X2 picture: KFUM 29%, draw 27%, Vålerenga 44%.

    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 59% and under at 41%.

    Will both teams score?

    The probability of both teams scoring is 61% according to the model.

    How many goals are expected in KFUM vs Vålerenga?

    The model expects 1.32 goals (xG) for KFUM and 1.74 for Vålerenga, 3.07 in total.

    What does the model say about double chance?

    KFUM or draw (1X) 56%, Vålerenga or draw (X2) 71% and no draw (12) 73%.

    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.