Norwegian Eliteserien18°0,4 mm21 km/h

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    StartStartLow block & direct
    41
    KFUMKFUMBalanced & physical
    The model's lean: 2 · KFUM (35%)Best value by the model: Under 2,5 @ 2.22 (+22 %)

    StartKFUM · Norwegian Eliteserien

    1 · Start 34%X 30%35% KFUM · 2

    Analysis: StartKFUM

    Marcus Johansson · · Analysis from the match model · How the predictions work

    Start's direct style meets KFUM's balanced approach in what promises to be a tightly contested affair, underscored by the razor-thin model probabilities. While Start has been struggling with points this season, their expected points suggest they’ve been somewhat unlucky, hinting at potential underperformance relative to their xG of 1.4 per match. This figure indicates that Start has the capacity to create chances, though not always capitalizing on them. Meanwhile, KFUM, while boasting a slightly better points tally, has a lower xG of 1.0, suggesting potential inefficiency in front of goal despite their physical play.

    Given the small sample size of head-to-head encounters — just one match since 2021 which KFUM narrowly won — it weighs less on the analysis than current form and expected goals statistics. Start's defensive vulnerabilities, as highlighted by their xGA of 1.6, mirror those of KFUM, which could open doors for each side. However, the expected rain of 8.8 mm might suppress goal-scoring opportunities, a factor already considered in the model's numbers.

    The model reflects a slim lean towards KFUM with a 35% win probability, yet the most likely scoreline is a 1-1 draw, occurring 13% of the time. The expected goals are almost evenly matched, indicating a balanced game where neither side is likely to dominate. As the odds suggest, the under 2.5 goals bet presents a compelling opportunity. With a model rating of 55% and odds of 2.15 at Betsson, it offers an 18% edge, making it a valuable angle for bettors to consider, especially with weather conditions potentially disrupting play.

    In a battle that promises a close contest determined by fine margins, bettors might profitably lean on the under 2.5 goals market. With factors such as weather potentially contributing to a low-scoring game, the numbers make a persuasive case for this bet, especially given the offered value.

    StartStart
    Form LLWLL
    League ranking xG #11xGA #10xT #9xP/match #9Points #16
    Key players
    • Hakon LorentzenFxG 0.30 · xT 0.09
    • Tom StrannegardLWBxG 0.05 · xT 0.28
    • Mikael UglandCMxG 0.05 · xT 0.05
    KFUMKFUM
    Form LLWWD
    League ranking xG #16xGA #8xT #11xP/match #13Points #12
    Key players
    • Bilal NjieFxG 0.30 · xT 0.04
    • Teodor Berg HaltvikFxG 0.40 · xT 0.06
    • Magnus Wolff EikremFxG 0.14 · xT 0.31
    Final score
    41
    The model missed the outcome
    Predicted probabilities: Start 34% · Draw 30% · KFUM 35%

    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 8,34fair 12,38-33 %
    Miss
    Matchresultat - StartBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 8,53fair 13,30-36 %
    Hit

    Match prediction: StartKFUM

    Predicted score matrix

    KFUM
    Start
    0
    1
    2
    3
    4+
    0
    0–08.8%
    0–110.2%
    0–26.7%
    0–32.8%
    0–4+1.2%
    1
    1–09.9%
    1–113.3%
    1–28.1%
    1–33.4%
    1–4+1.4%
    2
    2–06.2%
    2–17.8%
    2–24.9%
    2–32.1%
    2–4+0.9%
    3
    3–02.5%
    3–13.2%
    3–22.0%
    3–30.8%
    3–4+0.3%
    4+
    4+–01.0%
    4+–11.2%
    4+–20.8%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-110%
    3. 3.1-010%
    4. 4.0-09%
    5. 5.1-28%
    Expected goals
    1,211,26
    Both teams to score
    51%

    Over/under goals

    Expected goals: 2,5
    Under 2,555%
    @2.22EV+11%
    Over 2,545%
    @1.78

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance KFUM or draw (X2)65%
    • Under 3.5 goals76%

    Combined probability

    50%

    Fair odds

    2.00

    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 (X2)65%
    • Under 2.5 goals55%
    • Momodou Lion 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 score51%
    • Over 2.5 goals45%
    • Jesper Cornelius Rasmussen to score25%
    • Robin Gravli Rasch to be booked21%

    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 2.555% probability@2.22PinnacleEV+22%reference odds
    • Under 1.529% probability@4.15BetssonEV+20%reference odds
    • Under 2.555% probability@2.15BetssonEV+18%reference odds
    Bookmaker1 · StartX2 · KFUM
    Betsafe2.68
    EV+ 7%
    3.50
    2.52
    Betsson2.25
    EV+ 11%
    3.65
    EV+ 10%
    3.10
    Nordicbet2.70
    EV+ 8%
    3.55
    2.55
    Paddy Power2.50
    EV+ 4%
    3.40
    2.45
    Pinnacle2.18
    EV+ 15%
    3.78
    EV+ 16%
    3.27

    Odds updated 30 Aug, 05:14

    Odds movement

    1-4 %
    45 %40 %

    2.282.18

    X+4 %
    28 %23 %

    3.623.78

    2+9 %
    34 %29 %

    2.993.27

    Over 2,5-2 %
    59 %54 %

    1.751.70

    Pinnacle · 8 recorded price levels · 21/08/2026 → 30/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    Start 0Draw 0KFUM 1
    Goals: 02 (⌀ 2)

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

    xG & xGA per match — 3-game rolling average

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

    Start
    KFUM
    When goals are scored and conceded 2026
    Start (1638)
    KFUM (1927)
    Pass networks

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

    Start
    John Olav Norheim: 179 passningar, xT 0.72NorheimJens Berland Husebo: 166 passningar, xT 0.29HuseboErlend Dahl Reitan: 151 passningar, xT 0.46ReitanTom Strannegard: 150 passningar, xT 1.78StrannegardErlend Segberg: 134 passningar, xT 0.45SegbergOusmane Diallo Toure: 124 passningar, xT 0.44ToureStève Regis Mvoué: 123 passningar, xT 0.43MvouéHakon Lorentzen: 94 passningar, xT 0.43LorentzenJacob Pryts: 68 passningar, xT 0.23PrytsEirik Schulze: 66 passningar, xT 0.33SchulzeJesper Cornelius Rasmussen: 62 passningar, xT -0.13Rasmussen
    KFUM
    Daniel Schneider: 188 passningar, xT 0.4SchneiderBrage Skaret: 152 passningar, xT 0.21SkaretRobin Rasch: 145 passningar, xT 0.23RaschJonas Lange Hjorth: 126 passningar, xT 0.21HjorthTore Andre Soras: 98 passningar, xT -0.04SorasEirik Saunes: 88 passningar, xT 0.39SaunesHakon Helland Hoseth: 79 passningar, xT 0.18HosethMartin Tangen Vinjor: 68 passningar, xT 0VinjorRasmus Eggen Vinge: 65 passningar, xT 0.48VingeSander Hansen Sjokvist: 60 passningar, xT 0.3SjokvistMomodou Lion Njie: 55 passningar, xT 0.1Njie
    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.

    Start
    John Olav Norheim: 179 passningar, xT 0.72NorheimJens Berland Husebo: 166 passningar, xT 0.29HuseboErlend Dahl Reitan: 151 passningar, xT 0.46ReitanTom Strannegard: 150 passningar, xT 1.78StrannegardErlend Segberg: 134 passningar, xT 0.45SegbergOusmane Diallo Toure: 124 passningar, xT 0.44ToureStève Regis Mvoué: 123 passningar, xT 0.43MvouéHakon Lorentzen: 94 passningar, xT 0.43LorentzenJacob Pryts: 68 passningar, xT 0.23PrytsEirik Schulze: 66 passningar, xT 0.33SchulzeJesper Cornelius Rasmussen: 62 passningar, xT -0.13Rasmussen
    KFUM
    Daniel Schneider: 188 passningar, xT 0.4SchneiderBrage Skaret: 152 passningar, xT 0.21SkaretRobin Rasch: 145 passningar, xT 0.23RaschJonas Lange Hjorth: 126 passningar, xT 0.21HjorthTore Andre Soras: 98 passningar, xT -0.04SorasEirik Saunes: 88 passningar, xT 0.39SaunesHakon Helland Hoseth: 79 passningar, xT 0.18HosethMartin Tangen Vinjor: 68 passningar, xT 0VinjorRasmus Eggen Vinge: 65 passningar, xT 0.48VingeSander Hansen Sjokvist: 60 passningar, xT 0.3SjokvistMomodou Lion Njie: 55 passningar, xT 0.1Njie

    The teams in numbers

    PerformanceStartKFUM
    Points1019
    xPoints22.820.4
    xG per match1.41
    xGA per match1.61.6
    xG within 8s of winning the ball0.310.19
    xGA within 8s of losing the ball0.320.23
    Playing styleStartKFUM
    Build-up efficiency0.340.35
    Field tilt0.320.41
    xT per match1.10.97
    xTA per match1.31.2
    Won balls, offensive half2723
    Pressing intensity0.240.24
    Pressing efficiency0.250.27
    Pressing efficiency, offensive half0.280.26
    Entries into the box per match1411
    Entries into the box against1717
    Pass completion %0.690.73
    Pass completion % under pressure0.650.71
    Passes per match277332
    Passes against per match423434
    Switches of play per match22.318.5
    Long balls per match3728
    Set piecesStartKFUM
    xG from free kicks0.080
    Corners per match3.84
    Corners against per match5.15
    xG per corner0.040.03
    xGA per corner against0.020.07
    First touch, offensive corners %0.420.33
    First touch, defensive corners %0.590.56
    OtherStartKFUM
    Throw-in control0.680.73
    The goalkeepersJacob Pryts (Start)Emil Ødegaard (KFUM)
    Saves4025
    Save %52%74%
    xG prevented29%54%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Start vs KFUM according to our model?

    The model gives KFUM a 35% win probability. Full 1X2 picture: Start 34%, draw 30%, KFUM 35%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 45% and under at 55%.

    Will both teams score?

    The probability of both teams scoring is 51% 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.