Norwegian Eliteserien16°1,3 mm16 km/h

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    HamarkamerateneHamarkamerateneLow block & direct
    22
    KristiansundKristiansundLow block & direct
    The model's lean: 1 · Hamarkameratene (46%)Best value by the model: 2 · Kristiansund @ 4.55 (+24 %)

    HamarkamerateneKristiansund · Norwegian Eliteserien

    1 · Hamarkameratene 46%X 26%27% Kristiansund · 2

    Analysis: HamarkamerateneKristiansund

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

    Hamarkameratene holds the upper hand against Kristiansund, riding a streak of domination in their head-to-heads since 2021. The hosts have collected three wins and two draws in their last five encounters, a small sample but still noteworthy for setting a psychological advantage. Combine this with a model probability giving Hamarkameratene a 46% chance of victory, and the scene is set for a home win as the most probable outcome.

    Digging into the expected goals, Hamarkameratene leads with 1.66 compared to Kristiansund's 1.18, and both sides seem evenly matched in their defensively lax, direct playing styles. Thus, it's likely we'll see opportunities on both ends. The over 2.5 goals market sits at 54%, with both teams to score at 57%, numbers that suggest a slight lean towards a high-scoring affair. Yet, the expected rain might just dampen the attacking flair a bit, although it's already calculated into the model.

    Points and xPoints further tilt the scales in Hamarkameratene's favor, as they lead Kristiansund with 22 points to 15, and 21.5 xPoints to 19.6. Despite not being a chasm, these numbers consistently point to a slight edge for the home side, indicating that Kristiansund will face an uphill battle. Their xG and xGA per match figures reveal similarly close margins, yet Hamarkameratene still holds the slight statistical advantage.

    The likelihood of a 1-1 or 2-1 scoreline looms, but the model's lean toward Hamarkameratene at 46% highlights the best betting angle. Currently, Unibet offers odds of 2.20 for a Hamarkameratene win, presenting potential value for those seeking a calculated risk in a match where the numbers align more snugly with the hosts' ambitions.

    HamarkamerateneHamarkameratene
    Form LLWDL
    League ranking xG #12xGA #11xT #15xP/match #11Points #9
    Key players
    • Loris MettlerFxG 0.16 · xT 0.20
    • Henrik UdahlFxG 0.45 · xT 0.02
    • Mame Alassane NiangFxG 0.31 · xT -0.04
    KristiansundKristiansund
    Form DLLWL
    League ranking xG #15xGA #14xT #16xP/match #15Points #14
    Key players
    • Leander AlvheimFxG 0.36 · xT 0.00
    • Jesper IsaksenLWBxG 0.09 · xT 0.07
    • Sander Hestetun KilenLWxG 0.11 · xT 0.08
    Final score
    22
    The model missed the outcome
    Predicted probabilities: Hamarkameratene 46% · Draw 26% · Kristiansund 27%

    Match prediction: HamarkamerateneKristiansund

    Predicted score matrix

    Kristiansund
    Hamarkameratene
    0
    1
    2
    3
    4+
    0
    0–06.2%
    0–16.6%
    0–24.1%
    0–31.6%
    0–4+0.6%
    1
    1–09.3%
    1–111.8%
    1–26.8%
    1–32.7%
    1–4+1.0%
    2
    2–08.0%
    2–19.5%
    2–25.6%
    2–32.2%
    2–4+0.8%
    3
    3–04.4%
    3–15.3%
    3–23.1%
    3–31.2%
    3–4+0.5%
    4+
    4+–02.7%
    4+–13.2%
    4+–21.9%
    4+–30.7%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-09%
    4. 4.2-08%
    5. 5.1-27%
    Expected goals
    1,661,18
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,8
    Under 2,546%
    @2.08
    Over 2,554%
    @1.73

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Hamarkameratene to win46%
    • Over 1.5 goals78%

    Combined probability

    39%

    Fair odds

    2.58

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

    02 · 3 legs

    Balanced

    • Hamarkameratene to win46%
    • Over 2.5 goals54%
    • Aksel Baran Potur to score23%

    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 score57%
    • Over 2.5 goals54%
    • Aksel Baran Potur to score23%
    • Wilfred George Igor to be booked24%

    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+).

    • 2 · Kristiansund27% probability@4.55PinnacleEV+24%reference odds
    • 2 · Kristiansund27% probability@3.70Bet365EV+1%reference odds
    Bookmaker1 · HamarkamerateneX2 · Kristiansund
    Bet3651.903.50
    EV+ 1%
    3.70
    Pinnacle1.833.73
    EV+ 24%
    4.55

    Odds updated 30 Aug, 05:14

    Odds movement

    1-4 %
    54 %49 %

    1.911.83

    X+8 %
    29 %24 %

    3.463.73

    2+8 %
    25 %20 %

    4.204.55

    Pinnacle · 13 recorded price levels · 21/08/2026 → 30/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    Hamarkameratene 3Draw 2Kristiansund 0
    Goals: 84 (⌀ 2,4)

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

    Key facts

    • Hamarkameratene dominate this fixture historically: 3 wins to 0 in 5 meetings.
    xG & xGA per match — 3-game rolling average

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

    Hamarkameratene
    Kristiansund
    When goals are scored and conceded 2026
    Hamarkameratene (2430)
    Kristiansund (1527)
    Pass networks

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

    Hamarkameratene
    Ethan Amundsen-Day: 244 passningar, xT 0.35Amundsen-DayMartin Gjone: 190 passningar, xT 1.03GjoneLuc Mares: 187 passningar, xT 0.01MaresPatrick Metcalfe: 186 passningar, xT 0.53MetcalfeFredrik Sjolstad: 174 passningar, xT 0.12SjolstadMarcus Sandberg: 153 passningar, xT 0.16SandbergAksel Baran Potur: 121 passningar, xT 0.33PoturAnton Ekeroth: 95 passningar, xT 0.07EkerothHalvor Rodolen Opsahl: 71 passningar, xT 0.05OpsahlSnorre Strand Nilsen: 66 passningar, xT 0.23NilsenVidar Ari Jonsson: 59 passningar, xT -0.05Jonsson
    Kristiansund
    Dan Peter Ulvestad: 291 passningar, xT 0.59UlvestadJesper Isaksen: 196 passningar, xT 0.46IsaksenJulius Mar Juliusson: 181 passningar, xT 0.23JuliussonWilfred George Igor: 153 passningar, xT 0.03IgorHeine Gikling Bruseth: 138 passningar, xT 0.2BrusethAlexander Munksgaard Nielsen: 117 passningar, xT 0.61NielsenSander Hestetun Kilen: 99 passningar, xT 0.2KilenMichael Lansing: 89 passningar, xT 0.2LansingHaakon Haugen: 81 passningar, xT 0HaugenSyver Skundberg Skeide: 76 passningar, xT 0.09SkeideFrederik Flex: 46 passningar, xT 0.08Flex
    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.

    Hamarkameratene
    Ethan Amundsen-Day: 244 passningar, xT 0.35Amundsen-DayMartin Gjone: 190 passningar, xT 1.03GjoneLuc Mares: 187 passningar, xT 0.01MaresPatrick Metcalfe: 186 passningar, xT 0.53MetcalfeFredrik Sjolstad: 174 passningar, xT 0.12SjolstadMarcus Sandberg: 153 passningar, xT 0.16SandbergAksel Baran Potur: 121 passningar, xT 0.33PoturAnton Ekeroth: 95 passningar, xT 0.07EkerothHalvor Rodolen Opsahl: 71 passningar, xT 0.05OpsahlSnorre Strand Nilsen: 66 passningar, xT 0.23NilsenVidar Ari Jonsson: 59 passningar, xT -0.05Jonsson
    Kristiansund
    Dan Peter Ulvestad: 291 passningar, xT 0.59UlvestadJesper Isaksen: 196 passningar, xT 0.46IsaksenJulius Mar Juliusson: 181 passningar, xT 0.23JuliussonWilfred George Igor: 153 passningar, xT 0.03IgorHeine Gikling Bruseth: 138 passningar, xT 0.2BrusethAlexander Munksgaard Nielsen: 117 passningar, xT 0.61NielsenSander Hestetun Kilen: 99 passningar, xT 0.2KilenMichael Lansing: 89 passningar, xT 0.2LansingHaakon Haugen: 81 passningar, xT 0HaugenSyver Skundberg Skeide: 76 passningar, xT 0.09SkeideFrederik Flex: 46 passningar, xT 0.08Flex

    The teams in numbers

    PerformanceHamarkamerateneKristiansund
    Points2215
    xPoints21.519.6
    xG per match1.31.1
    xGA per match1.71.8
    xG within 8s of winning the ball0.180.16
    xGA within 8s of losing the ball0.340.23
    Playing styleHamarkamerateneKristiansund
    Build-up efficiency0.380.32
    Field tilt0.340.39
    xT per match0.850.71
    xTA per match1.31.4
    Won balls, offensive half2224
    Pressing intensity0.250.23
    Pressing efficiency0.240.26
    Pressing efficiency, offensive half0.230.2
    Entries into the box per match1210
    Entries into the box against1816
    Pass completion %0.770.75
    Pass completion % under pressure0.720.73
    Passes per match369324
    Passes against per match434450
    Switches of play per match26.325.2
    Long balls per match3435
    Set piecesHamarkamerateneKristiansund
    xG from free kicks0.060.07
    Corners per match44.3
    Corners against per match5.66.6
    xG per corner0.030.04
    xGA per corner against0.030.03
    First touch, offensive corners %0.380.45
    First touch, defensive corners %0.610.71
    OtherHamarkamerateneKristiansund
    Throw-in control0.680.66
    The goalkeepersMarcus Sandberg (Hamarkameratene)Adrian Saether (Kristiansund)
    Saves6142
    Save %69%68%
    xG prevented48%54%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Hamarkameratene vs Kristiansund according to our model?

    The model gives Hamarkameratene a 46% win probability. Full 1X2 picture: Hamarkameratene 46%, draw 26%, Kristiansund 27%.

    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 54% and under at 46%.

    Will both teams score?

    The probability of both teams scoring is 57% 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.