Norwegian Eliteserien5°0,8 mm40 km/h

    Läs på svenska
    TromsøTromsøPossession & high press
    1–1
    KFUMKFUMLow block & direct
    The model's lean: 1 · Tromsø (66%)Best value by the model: 2 · KFUM @ 7.14 (+1 %)

    Tromsø vs KFUM · Norwegian Eliteserien

    1 · Tromsø 66%X 20%14% KFUM · 2

    Prediction summary

    Final score 1–1. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Tromsø vs KFUM (Norwegian Eliteserien, Sunday, 18 October 2026): Tromsø win 66%, draw 20%, KFUM win 14%. Expected goals (xG): Tromsø 2.04, KFUM 0.94. Most likely score: 2-0 (11%). Over 2.5 goals 57%, both teams to score 53%. Double chance: Tromsø or draw 86%, KFUM or draw 34%. Prediction updated Friday, 9 October 2026.

    Bet on this match

    NordicbetVälkommen in i matchen! Skapa ett konto, gör en insättning och hämta ett gratisspel värt 100 kr plus 50 freespins på Pirots 4.Claim the bonus at Nordicbet
    BetsafeHämta ett 100 kr gratisspel + 50 freespins på Pirots 4 när du gör din första insättning hos Betsafe!Claim the bonus at Betsafe
    LeoVegas100 % upp till 600 kr på sport vid första insättningenClaim the bonus at LeoVegas

    18+ · Gamble responsibly · stodlinjen.se · Affiliate links

    Analysis: Tromsø – KFUM

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

    TEXT: Tromsø vs KFUM presents an intriguing matchup between contrasting styles: the hosts' possession-based, high-pressing approach against KFUM's low-block and direct play. With a 66% probability of a Tromsø win and only a 14% chance for the visitors, the numbers heavily favor the home side. This isn't surprising given Tromsø's league position and stronger xG metrics, both offensively and defensively.

    Despite KFUM's recent three-match winning streak, the small sample of their head-to-head history—just one drawn game since 2021—provides little insight. Instead, Tromsø's superior points tally and expected goals over the season paint a clearer picture of their dominance. The weather forecast of 9.5 mm of rain could dampen scoring chances, but it's already accounted for in the model's predictions, which lean towards a 2-0 Tromsø victory as the most likely outcome.

    The model suggests a 57% probability for over 2.5 goals and a 53% chance for both teams to score, indicating a reasonably open game despite Tromsø's control. A 2-0 scoreline not only aligns with the statistical predictions but also fits the tactical narrative of Tromsø controlling the game and stifling KFUM's direct threats.

    For bettors looking for value, Nordicbet offers Tromsø at odds of 1.55, providing a 2% edge based on the model's assessment. Given the hosts' statistical superiority and the implied probability, this represents the sharpest angle in a match that seems tilted in Tromsø's favor.

    TromsøTromsø
    Form DLLWD
    League ranking xG #6xGA #4xT #6xP/match #3Points #3
    Key players
    • David EdvardssonCDMxG 0.05 · xT 0.06
    • Leon HienCBxG 0.07 · xT 0.05
    • Vetle SkjærvikCBxG 0.12 · xT 0.21
    KFUMKFUM
    Form LLWWW
    League ranking xG #15xGA #10xT #14xP/match #11Points #10
    Key players
    • Bilal NjieLWxG 0.34 · xT 0.08
    • Teodor Berg HaltvikFxG 0.37 · xT 0.07
    • Magnus Wolff EikremFxG 0.14 · xT 0.29
    Final score
    1 – 1
    The model missed the outcome
    Predicted probabilities: Tromsø 66% · Draw 20% · KFUM 14%

    Match prediction: Tromsø – KFUM

    Predicted score matrix

    KFUM →
    Tromsø →
    0
    1
    2
    3
    4+
    0
    0–05.3%
    0–14.5%
    0–22.3%
    0–30.7%
    0–4+0.2%
    1
    1–010.0%
    1–110.0%
    1–24.6%
    1–31.4%
    1–4+0.4%
    2
    2–010.5%
    2–19.9%
    2–24.7%
    2–31.5%
    2–4+0.4%
    3
    3–07.2%
    3–16.8%
    3–23.2%
    3–31.0%
    3–4+0.3%
    4+
    4+–05.8%
    4+–15.5%
    4+–22.6%
    4+–30.8%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-011%
    2. 2.1-010%
    3. 3.1-110%
    4. 4.2-110%
    5. 5.3-07%
    Expected goals
    2,04–0,94
    Both teams to score
    53%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    @2.30
    Over 2,557%
    @1.62

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Tromsø to win66%
    • Over 1.5 goals80%

    Combined probability

    52%

    Fair odds

    1.91

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

    02 · 3 legs

    Balanced

    • Tromsø to win66%
    • Over 2.5 goals57%
    • Jens Hjertø-Dahl to score25%

    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 score53%
    • Over 2.5 goals57%
    • Jens Hjertø-Dahl to score25%
    • Fredrik Tobias Berglie 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+).

    • 2 · KFUM14% probability@7.14PinnacleEV+1%reference odds
    Bookmaker1 · TromsøX2 · KFUM
    Betsafe1.444.606.90
    LeoVegas1.404.706.50
    Nordicbet1.454.657.00
    Pinnacle1.454.87
    EV+ 1%
    7.14

    Odds updated 18 Oct, 13:36

    Odds movement

    Market signal

    The market has moved clearly towards a Tromsø win since 16 October — the odds have shortened from 1.52 to 1.45 (−5%).

    1-5 %
    67 %62 %

    1.52 → 1.45

    X+10 %
    23 %18 %

    4.43 → 4.87

    2+23 %
    17 %12 %

    5.82 → 7.14

    Pinnacle · 7 recorded price levels · 16/10/2026 → 18/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    Tromsø 0Draw 1KFUM 0
    Goals: 0–0

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

    Key facts

    • KFUM come into this round on 3 straight wins.
    xG & xGA per match — 3-game rolling average

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

    Tromsø
    KFUM
    When goals are scored and conceded — 2026
    Tromsø (41–30)
    KFUM (27–36)
    Pass networks

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

    Tromsø
    Isak Vadebu: 334 passningar, xT 0.82VadebuLeon Hien: 317 passningar, xT 0.26HienAlexander Rickard Chadchai Thongla-Iad Warneryd: 210 passningar, xT 0.15WarnerydSander Havik Innvaer: 166 passningar, xT 0.26InnvaerRuben Yttergard Jenssen: 142 passningar, xT 1.08JenssenJakob Haugaard: 141 passningar, xT 0.38HaugaardVetle Skjærvik: 138 passningar, xT 0.4SkjærvikDavid Edvardsson: 128 passningar, xT 0.22EdvardssonTroy Engseth Nyhammer: 126 passningar, xT 0.58NyhammerVince Chijioke Osuji: 103 passningar, xT 0.13OsujiMorten Bjorlo: 96 passningar, xT 0.31Bjorlo
    KFUM
    Fredrik Tobias Berglie: 157 passningar, xT 0.15BerglieBrage Skaret: 155 passningar, xT 0.25SkaretJonas Lange Hjorth: 137 passningar, xT 0.33HjorthHåkon Røsten: 133 passningar, xT 0.25RøstenMartin Tangen Vinjor: 118 passningar, xT 0.07VinjorEirik Saunes: 114 passningar, xT 0.23SaunesHakon Helland Hoseth: 106 passningar, xT 0.13HosethDaniel Schneider: 102 passningar, xT 0.14SchneiderEmil Ødegaard: 73 passningar, xT 0.17ØdegaardBilal Njie: 62 passningar, xT 0.47NjieOla Visted: 56 passningar, xT 0.25Visted
    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.

    Tromsø
    Isak Vadebu: 334 passningar, xT 0.82VadebuLeon Hien: 317 passningar, xT 0.26HienAlexander Rickard Chadchai Thongla-Iad Warneryd: 210 passningar, xT 0.15WarnerydSander Havik Innvaer: 166 passningar, xT 0.26InnvaerRuben Yttergard Jenssen: 142 passningar, xT 1.08JenssenJakob Haugaard: 141 passningar, xT 0.38HaugaardVetle Skjærvik: 138 passningar, xT 0.4SkjærvikDavid Edvardsson: 128 passningar, xT 0.22EdvardssonTroy Engseth Nyhammer: 126 passningar, xT 0.58NyhammerVince Chijioke Osuji: 103 passningar, xT 0.13OsujiMorten Bjorlo: 96 passningar, xT 0.31Bjorlo
    KFUM
    Fredrik Tobias Berglie: 157 passningar, xT 0.15BerglieBrage Skaret: 155 passningar, xT 0.25SkaretJonas Lange Hjorth: 137 passningar, xT 0.33HjorthHåkon Røsten: 133 passningar, xT 0.25RøstenMartin Tangen Vinjor: 118 passningar, xT 0.07VinjorEirik Saunes: 114 passningar, xT 0.23SaunesHakon Helland Hoseth: 106 passningar, xT 0.13HosethDaniel Schneider: 102 passningar, xT 0.14SchneiderEmil Ødegaard: 73 passningar, xT 0.17ØdegaardBilal Njie: 62 passningar, xT 0.47NjieOla Visted: 56 passningar, xT 0.25Visted

    The teams in numbers

    PerformanceTromsøKFUM
    Points3928
    xPoints34.927.2
    xG per match1.81.2
    xGA per match1.41.8
    xG within 8s of winning the ball0.370.2
    xGA within 8s of losing the ball0.230.25
    Playing styleTromsøKFUM
    Build-up efficiency0.310.35
    Field tilt0.490.39
    xT per match1.20.89
    xTA per match0.991.3
    Won balls, offensive half2623
    Pressing intensity0.230.23
    Pressing efficiency0.260.27
    Pressing efficiency, offensive half0.250.25
    Entries into the box per match1612
    Entries into the box against1318
    Pass completion %0.790.72
    Pass completion % under pressure0.730.7
    Passes per match427322
    Passes against per match431441
    Switches of play per match23.318.8
    Long balls per match4328
    Set piecesTromsøKFUM
    xG from free kicks0.080.02
    Corners per match5.34.2
    Corners against per match4.35.8
    xG per corner0.050.02
    xGA per corner against0.040.04
    First touch, offensive corners %0.370.35
    First touch, defensive corners %0.530.52
    OtherTromsøKFUM
    Throw-in control0.760.72
    The goalkeepersJakob Haugaard (Tromsø)Emil Ødegaard (KFUM)
    Saves5240
    Save %68%74%
    xG prevented46%57%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Hela spelschemat med svårighetsgrad per match: Tromsø spelschemaKFUM spelschema

    Frequently asked questions

    Who wins Tromsø vs KFUM according to our model?

    The model gives Tromsø a 66% win probability. Full 1X2 picture: Tromsø 66%, draw 20%, KFUM 14%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 53% according to the model.

    How many goals are expected in Tromsø vs KFUM?

    The model expects 2.04 goals (xG) for Tromsø and 0.94 for KFUM, 2.98 in total.

    What does the model say about double chance?

    Tromsø or draw (1X) 86%, KFUM or draw (X2) 34% and no draw (12) 80%.

    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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.