Norwegian Eliteserien6 km/h

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    TromsøTromsøPossession control
    vs
    HamarkamerateneHamarkamerateneLow block & direct
    The model's lean: 1 · Tromsø (55%)Best value by the model: 2 · Hamarkameratene @ 5.94 (+20 %)

    Tromsø vs Hamarkameratene · Norwegian Eliteserien

    1 · Tromsø 55%X 24%20% Hamarkameratene · 2

    Analysis: TromsøHamarkameratene

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

    FAKTA holder ikke for følgende punkter i TEKSTEN:

    1. Tromsø's xGA of 1.4 is described as a "defensive vulnerability," but the facts show this is actually an edge for Tromsø (lower xGA than Hamarkameratene's 1.9). This mischaracterizes strength as weakness.

    2. The claim "Bet365's odds of 1.90 for Tromsø to win" is not supported by any data in the facts and should be removed.

    Corrected text:

    Tromsø's dominance in possession is likely to dictate the flow when they face Hamarkameratene. The hosts have a clear edge with a 55% win probability, while the visitors sit at just 20%. The expected goals further underline Tromsø's upper hand, with 1.76 to Hamarkameratene's 1.02. Their possession-based style should wear down a Hamarkameratene side often reliant on compact defense and direct counters.

    The most probable scorelines, 1-1 and 1-0, both at 11%, suggest a tight contest. However, Tromsø's ability to control the tempo may tilt the balance in their favor, as indicated by their superior points tally (35 to 23) and xPoints (30.9 to 23.9). Despite the small head-to-head sample of just one encounter, which Tromsø won, the form metrics and expected goals strongly favor the home side.

    With an over 2.5 goals chance sitting at 52%, the matchup hints at edging towards more goals, although not dramatically so. Tromsø's solid defense (1.4 xGA, better than Hamarkameratene's 1.9) should limit clear chances for the visitors, though Hamarkameratene's direct style could still create some openings. A narrow yet assertive Tromsø win, such as 1-0 or 2-1, aligns well with both the model and the tactical clash.

    For the betting angle, consider Tromsø's win as the safest play given their comprehensive edge in form and expected metrics. However, the over 2.5 goals at 52% also sparks interest for those leaning towards a more dynamic outcome, especially against a Hamarkameratene team struggling to assert themselves on the road.

    TromsøTromsø
    Form WLDLL
    League ranking xG #5xGA #4xT #6xP/match #3Points #4
    Key players
    • Heine Asen LarsenFxG 0.59 · xT 0.03
    • Daniel BrautFxG 0.64 · xT 0.02
    • Abubacarr Sedi KintehCBxG 0.04 · xT 0.18
    HamarkamerateneHamarkameratene
    Form DLDLL
    League ranking xG #12xGA #11xT #14xP/match #14Points #10
    Key players
    • Henrik UdahlFxG 0.44 · xT 0.02
    • Loris MettlerFxG 0.21 · xT 0.20
    • Mame Alassane NiangFxG 0.37 · xT 0.01

    Match prediction: TromsøHamarkameratene

    Predicted score matrix

    Hamarkameratene
    Tromsø
    0
    1
    2
    3
    4+
    0
    0–06.6%
    0–16.0%
    0–23.2%
    0–31.1%
    0–4+0.3%
    1
    1–010.6%
    1–111.5%
    1–25.7%
    1–31.9%
    1–4+0.6%
    2
    2–09.6%
    2–19.8%
    2–25.0%
    2–31.7%
    2–4+0.5%
    3
    3–05.6%
    3–15.7%
    3–22.9%
    3–31.0%
    3–4+0.3%
    4+
    4+–03.7%
    4+–13.8%
    4+–21.9%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-011%
    3. 3.2-110%
    4. 4.2-010%
    5. 5.0-07%
    Expected goals
    1,761,02
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,8
    Under 2,548%
    Over 2,552%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Tromsø to win55%
    • Over 1.5 goals77%

    Combined probability

    44%

    Fair odds

    2.29

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

    02 · 3 legs

    Balanced

    • Tromsø to win55%
    • Over 2.5 goals52%
    • Lars Olden Larsen to score28%

    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 goals52%
    • Lars Olden Larsen to score28%
    • David Mikael Edvardsson 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

    The model's value spots

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

    • 2 · Hamarkameratene20% probability@5.94PinnacleEV+20%reference odds
    • X · Draw24% probability@4.57PinnacleEV+11%reference odds
    Bookmaker1 · TromsøX2 · Hamarkameratene
    Pinnacle1.50
    EV+ 11%
    4.57
    EV+ 20%
    5.94

    Odds updated 15 Sept, 05:02

    Odds movement

    1-2 %
    65 %60 %

    1.531.50

    X+2 %
    24 %19 %

    4.464.57

    2+5 %
    19 %14 %

    5.645.94

    Pinnacle · 3 recorded price levels · 14/09/2026 → 15/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    Tromsø 1Draw 0Hamarkameratene 0
    Goals: 41 (⌀ 5)

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

    xG & xGA per match — 3-game rolling average

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

    Tromsø
    Hamarkameratene
    When goals are scored and conceded 2026
    Tromsø (3727)
    Hamarkameratene (2741)
    Pass networks

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

    Tromsø
    Isak Vadebu: 258 passningar, xT 0.59VadebuLeon Hien: 228 passningar, xT 0.2HienAlexander Rickard Chadchai Thongla-Iad Warneryd: 181 passningar, xT 0.02WarnerydDavid Edvardsson: 179 passningar, xT 0.18EdvardssonRuben Yttergard Jenssen: 156 passningar, xT 0.32JenssenJakob Haugaard: 146 passningar, xT 0.42HaugaardSander Havik Innvaer: 115 passningar, xT 0.17InnvaerMathias Tonnessen: 102 passningar, xT 0.33TonnessenTroy Engseth Nyhammer: 99 passningar, xT 0.84NyhammerVince Chijioke Osuji: 93 passningar, xT 0.13OsujiHeine Asen Larsen: 76 passningar, xT 0.07Larsen
    Hamarkameratene
    Ethan Amundsen-Day: 187 passningar, xT 0.15Amundsen-DayLuc Mares: 166 passningar, xT 0.05MaresFredrik Sjolstad: 158 passningar, xT 0.12SjolstadMarcus Sandberg: 138 passningar, xT 0.34SandbergSnorre Strand Nilsen: 136 passningar, xT 0.15NilsenVidar Ari Jonsson: 134 passningar, xT -0.12JonssonPatrick Metcalfe: 124 passningar, xT 0.6MetcalfeMartin Gjone: 110 passningar, xT 0.28GjoneAnders Trondsen: 109 passningar, xT 0.21TrondsenMarkus Johnsgard: 80 passningar, xT 0.01JohnsgardAleksander Andresen: 44 passningar, xT 0.31Andresen
    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: 258 passningar, xT 0.59VadebuLeon Hien: 228 passningar, xT 0.2HienAlexander Rickard Chadchai Thongla-Iad Warneryd: 181 passningar, xT 0.02WarnerydDavid Edvardsson: 179 passningar, xT 0.18EdvardssonRuben Yttergard Jenssen: 156 passningar, xT 0.32JenssenJakob Haugaard: 146 passningar, xT 0.42HaugaardSander Havik Innvaer: 115 passningar, xT 0.17InnvaerMathias Tonnessen: 102 passningar, xT 0.33TonnessenTroy Engseth Nyhammer: 99 passningar, xT 0.84NyhammerVince Chijioke Osuji: 93 passningar, xT 0.13OsujiHeine Asen Larsen: 76 passningar, xT 0.07Larsen
    Hamarkameratene
    Ethan Amundsen-Day: 187 passningar, xT 0.15Amundsen-DayLuc Mares: 166 passningar, xT 0.05MaresFredrik Sjolstad: 158 passningar, xT 0.12SjolstadMarcus Sandberg: 138 passningar, xT 0.34SandbergSnorre Strand Nilsen: 136 passningar, xT 0.15NilsenVidar Ari Jonsson: 134 passningar, xT -0.12JonssonPatrick Metcalfe: 124 passningar, xT 0.6MetcalfeMartin Gjone: 110 passningar, xT 0.28GjoneAnders Trondsen: 109 passningar, xT 0.21TrondsenMarkus Johnsgard: 80 passningar, xT 0.01JohnsgardAleksander Andresen: 44 passningar, xT 0.31Andresen

    The teams in numbers

    PerformanceTromsøHamarkameratene
    Points3523
    xPoints30.923.9
    xG per match1.71.3
    xGA per match1.41.9
    xG within 8s of winning the ball0.380.2
    xGA within 8s of losing the ball0.250.33
    Playing styleTromsøHamarkameratene
    Build-up efficiency0.310.37
    Field tilt0.480.34
    xT per match1.20.9
    xTA per match0.951.4
    Won balls, offensive half2623
    Pressing intensity0.240.25
    Pressing efficiency0.270.25
    Pressing efficiency, offensive half0.260.24
    Entries into the box per match1511
    Entries into the box against1318
    Pass completion %0.780.76
    Pass completion % under pressure0.730.72
    Passes per match420362
    Passes against per match424429
    Switches of play per match23.627
    Long balls per match4436
    Set piecesTromsøHamarkameratene
    xG from free kicks0.080.06
    Corners per match5.34.3
    Corners against per match4.35.4
    xG per corner0.050.02
    xGA per corner against0.040.03
    First touch, offensive corners %0.340.38
    First touch, defensive corners %0.550.56
    OtherTromsøHamarkameratene
    Throw-in control0.760.71
    The goalkeepersJakob Haugaard (Tromsø)Marcus Sandberg (Hamarkameratene)
    Saves4770
    Save %67%65%
    xG prevented44%42%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Tromsø vs Hamarkameratene according to our model?

    The model gives Tromsø a 55% win probability. Full 1X2 picture: Tromsø 55%, draw 24%, Hamarkameratene 20%.

    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 52% and under at 48%.

    Will both teams score?

    The probability of both teams scoring is 53% 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.