Norwegian Eliteserien9°4,5 mm23 km/h

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    KFUMKFUMLow block & direct
    vs
    HamarkamerateneHamarkamerateneLow block & direct
    The model's lean: 1 · KFUM (39%)

    KFUM vs Hamarkameratene · Norwegian Eliteserien

    1 · KFUM 39%X 30%31% Hamarkameratene · 2

    Prediction summary

    BetBuilders AI model prediction for KFUM vs Hamarkameratene (Norwegian Eliteserien, Saturday, 24 October 2026): KFUM win 39%, draw 30%, Hamarkameratene win 31%. Expected goals (xG): KFUM 1.49, Hamarkameratene 1.22. Most likely score: 1-1 (12%). Over 2.5 goals 51%, both teams to score 55%. Double chance: KFUM or draw 69%, Hamarkameratene or draw 61%. Prediction updated Friday, 16 October 2026.

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    Analysis: KFUM – Hamarkameratene

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

    TEXT: In the recent head-to-head series between KFUM and Hamarkameratene, there's been little to separate the two sides, with each team claiming one win and sharing the spoils in three draws over five matches. This small sample size should caution against overvaluing past encounters in predicting the outcome on Sunday. Observing their current season form, KFUM holds a slight edge with 29 points to Hamarkameratene's 26, though the xPoints suggest a tighter race with both sides performing close to expectations.

    The model tips KFUM with a 39% probability of winning, slightly favoring the hosts over the visitors' 31%. Expected goals further underline KFUM's slight edge, predicting 1.49 goals for them against 1.22 for Hamarkameratene. Both teams are known for their direct styles and leaky defenses, but the rainy conditions—8.8°C with 4.5 mm of rain—could dampen the attacking flow and keep scoring opportunities in check.

    While the over 2.5 goals market is finely balanced at 51%, the rain and defensive vulnerabilities suggest a more conservative approach might be wise. Both teams to score sits at 55%, reflecting the likelihood of each defense capitulating at least once. The most probable scorelines hover around a narrow win or a stalemate, with a 1-1 draw (12%) being the model's top pick followed by a 1-0 win for KFUM (10%).

    For bettors seeking value, the model's lean toward KFUM suggests their chances may be underappreciated relative to the probabilities given. However, caution is warranted given the damp weather, which might level the playing field more than numbers alone suggest.

    KFUMKFUM
    Form LWWWD
    League ranking xG #15xGA #10xT #14xP/match #10Points #9
    Key players
    • Teodor Berg HaltvikFxG 0.37 · xT 0.07
    • Bilal NjieLWxG 0.32 · xT 0.07
    • Magnus Wolff EikremFxG 0.14 · xT 0.29
    HamarkamerateneHamarkameratene
    Form LLLWL
    League ranking xG #12xGA #12xT #15xP/match #14Points #12
    Key players
    • Martin GjoneCBxG 0.12 · xT 0.14
    • Henrik UdahlFxG 0.43 · xT 0.02
    • Ethan Amundsen-DayCBxG 0.04 · xT 0.10

    Match prediction: KFUM – Hamarkameratene

    Predicted score matrix

    Hamarkameratene →
    KFUM →
    0
    1
    2
    3
    4+
    0
    0–07.0%
    0–17.8%
    0–25.0%
    0–32.0%
    0–4+0.8%
    1
    1–09.5%
    1–112.4%
    1–27.4%
    1–33.0%
    1–4+1.2%
    2
    2–07.4%
    2–19.0%
    2–25.5%
    2–32.2%
    2–4+0.9%
    3
    3–03.7%
    3–14.5%
    3–22.7%
    3–31.1%
    3–4+0.4%
    4+
    4+–01.9%
    4+–12.3%
    4+–21.4%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-010%
    3. 3.2-19%
    4. 4.0-18%
    5. 5.1-27%
    Expected goals
    1,49–1,22
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    –
    Over 2,551%
    –

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    01 · 2 legs

    Safe

    • Double chance KFUM or draw (1X)69%
    • Over 1.5 goals76%

    Combined probability

    53%

    Fair odds

    1.90

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

    02 · 3 legs

    Balanced

    • Double chance KFUM or draw (1X)69%
    • Over 2.5 goals51%
    • Bilal Elmi Njie to score21%

    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 score55%
    • Over 2.5 goals51%
    • Bilal Elmi Njie to score21%
    • Ethan Amundsen-Day to be booked22%

    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

    5 matches
    KFUM 1Draw 3Hamarkameratene 1
    Goals: 5–7 (⌀ 2,4)

    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
    Hamarkameratene
    When goals are scored and conceded — 2026
    KFUM (28–37)
    Hamarkameratene (33–48)
    Pass networks

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

    KFUM
    Fredrik Tobias Berglie: 166 passningar, xT 0.15BerglieBrage Skaret: 162 passningar, xT 0.2SkaretEirik Saunes: 140 passningar, xT 0.29SaunesJonas Lange Hjorth: 139 passningar, xT 0.66HjorthHakon Helland Hoseth: 111 passningar, xT 0.17HosethEmil Ødegaard: 109 passningar, xT 0.19ØdegaardMartin Tangen Vinjor: 87 passningar, xT 0.04VinjorOla Visted: 80 passningar, xT 0.21VistedHåkon Røsten: 78 passningar, xT 0.12RøstenDaniel Schneider: 72 passningar, xT 0.06SchneiderBilal Njie: 57 passningar, xT 0.21Njie
    Hamarkameratene
    Fredrik Sjolstad: 161 passningar, xT 0.21SjolstadMartin Gjone: 152 passningar, xT 0.3GjoneLuc Mares: 152 passningar, xT 0.06MaresSnorre Strand Nilsen: 136 passningar, xT 0.1NilsenMarcus Sandberg: 127 passningar, xT 0.4SandbergAleksander Andresen: 125 passningar, xT 0.45AndresenPatrick Metcalfe: 112 passningar, xT 0.06MetcalfeEthan Amundsen-Day: 91 passningar, xT 0.1Amundsen-DayJoão Paulo Rodrigues Barros: 84 passningar, xT 0.04BarrosLoris Mettler: 55 passningar, xT -0.02MettlerVidar Ari Jonsson: 55 passningar, xT -0.03Jonsson
    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
    Fredrik Tobias Berglie: 166 passningar, xT 0.15BerglieBrage Skaret: 162 passningar, xT 0.2SkaretEirik Saunes: 140 passningar, xT 0.29SaunesJonas Lange Hjorth: 139 passningar, xT 0.66HjorthHakon Helland Hoseth: 111 passningar, xT 0.17HosethEmil Ødegaard: 109 passningar, xT 0.19ØdegaardMartin Tangen Vinjor: 87 passningar, xT 0.04VinjorOla Visted: 80 passningar, xT 0.21VistedHåkon Røsten: 78 passningar, xT 0.12RøstenDaniel Schneider: 72 passningar, xT 0.06SchneiderBilal Njie: 57 passningar, xT 0.21Njie
    Hamarkameratene
    Fredrik Sjolstad: 161 passningar, xT 0.21SjolstadMartin Gjone: 152 passningar, xT 0.3GjoneLuc Mares: 152 passningar, xT 0.06MaresSnorre Strand Nilsen: 136 passningar, xT 0.1NilsenMarcus Sandberg: 127 passningar, xT 0.4SandbergAleksander Andresen: 125 passningar, xT 0.45AndresenPatrick Metcalfe: 112 passningar, xT 0.06MetcalfeEthan Amundsen-Day: 91 passningar, xT 0.1Amundsen-DayJoão Paulo Rodrigues Barros: 84 passningar, xT 0.04BarrosLoris Mettler: 55 passningar, xT -0.02MettlerVidar Ari Jonsson: 55 passningar, xT -0.03Jonsson

    The teams in numbers

    PerformanceKFUMHamarkameratene
    Points2926
    xPoints28.327.2
    xG per match1.11.3
    xGA per match1.81.9
    xG within 8s of winning the ball0.20.21
    xGA within 8s of losing the ball0.240.3
    Playing styleKFUMHamarkameratene
    Build-up efficiency0.350.37
    Field tilt0.390.33
    xT per match0.870.87
    xTA per match1.31.5
    Won balls, offensive half2222
    Pressing intensity0.230.25
    Pressing efficiency0.270.24
    Pressing efficiency, offensive half0.250.23
    Entries into the box per match1211
    Entries into the box against1819
    Pass completion %0.720.76
    Pass completion % under pressure0.70.72
    Passes per match323356
    Passes against per match449441
    Switches of play per match18.626.4
    Long balls per match2837
    Set piecesKFUMHamarkameratene
    xG from free kicks0.030.05
    Corners per match4.14
    Corners against per match5.65.4
    xG per corner0.020.02
    xGA per corner against0.040.03
    First touch, offensive corners %0.350.41
    First touch, defensive corners %0.520.53
    OtherKFUMHamarkameratene
    Throw-in control0.720.71
    The goalkeepersEmil Ødegaard (KFUM)Marcus Sandberg (Hamarkameratene)
    Saves4282
    Save %74%65%
    xG prevented56%44%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins KFUM vs Hamarkameratene according to our model?

    The model gives KFUM a 39% win probability. Full 1X2 picture: KFUM 39%, draw 30%, Hamarkameratene 31%.

    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 51% and under at 49%.

    Will both teams score?

    The probability of both teams scoring is 55% according to the model.

    How many goals are expected in KFUM vs Hamarkameratene?

    The model expects 1.49 goals (xG) for KFUM and 1.22 for Hamarkameratene, 2.71 in total.

    What does the model say about double chance?

    KFUM or draw (1X) 69%, Hamarkameratene or draw (X2) 61% and no draw (12) 70%.

    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.