Norwegian Eliteserien14°4,8 mm23 km/h

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    Bodø/GlimtBodø/GlimtPossession & high press
    42
    RosenborgRosenborgCounter-attacks & crosses
    The model's lean: 1 · Bodø/Glimt (79%)

    Bodø/GlimtRosenborg · Norwegian Eliteserien

    1 · Bodø/Glimt 79%X 14%8% Rosenborg · 2

    Analysis: Bodø/GlimtRosenborg

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

    TEXT: Bodø/Glimt's staggering 79% chance of victory against Rosenborg sets the stage for what appears to be a one-sided encounter. Their model-driven edge is unmistakable, accentuated further by their relentless form of six consecutive wins. The visitors, with only an 8% chance to triumph, are up against a team that not only dominates in head-to-head meetings but does so with a style that suffocates opponents through possession and high pressing. The small sample of five meetings since 2021, showing 2 wins, 2 draws, and 1 loss for Glimt, carries less weight than their recent performances and underlying metrics.

    Expected goals further emphasize the disparity: 2.71 for the hosts compared to just 0.90 for Rosenborg. Despite a history rich in goals, averaging 3.8 per clash, the expected rain may temper scoring but remains within the model's calculations. The 70% likelihood of over 2.5 goals suggests a contest where Glimt's firepower could shine, but Rosenborg might find opportunities through counter-attacks and crosses.

    For those seeking value, the home victory at odds of 1.37 with Betsson and Nordicbet, or 1.36 with Betsafe, offers an appealing proposition. With the model rating a Bodø/Glimt win at 79%, bettors can find an 8% edge with Betsson and Nordicbet, or a 7% edge with Betsafe—worth considering in a matchup skewed heavily in favor of the hosts.

    Bodø/GlimtBodø/Glimt
    Form WWWWW
    League ranking xG #1xGA #1xT #1xP/match #1Points #1
    Key players
    • Andreas HelmersenFxG 0.96 · xT 0.04
    • Jens Petter HaugeLWxG 0.16 · xT 0.42
    • Fredrik SjovoldRBxG 0.09 · xT 0.41
    RosenborgRosenborg
    Form WWLWW
    League ranking xG #6xGA #5xT #7xP/match #7Points #7
    Key players
    • Amin ChiakhaFxG 0.50 · xT 0.06
    • Emil Konradsen CeideLWxG 0.18 · xT 0.18
    • Iver FossumLWxG 0.21 · xT 0.14
    Final score
    42
    The model called the outcome
    Predicted probabilities: Bodø/Glimt 79% · Draw 14% · Rosenborg 8%

    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 - Rosenborg BKBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 15,10fair 33,85-55 %
    Miss

    Match prediction: Bodø/GlimtRosenborg

    Predicted score matrix

    Rosenborg
    Bodø/Glimt
    0
    1
    2
    3
    4+
    0
    0–02.9%
    0–12.3%
    0–21.1%
    0–30.3%
    0–4+0.1%
    1
    1–07.2%
    1–16.8%
    1–23.0%
    1–30.9%
    1–4+0.2%
    2
    2–010.0%
    2–18.9%
    2–24.0%
    2–31.2%
    2–4+0.3%
    3
    3–09.0%
    3–18.1%
    3–23.6%
    3–31.1%
    3–4+0.3%
    4+
    4+–011.7%
    4+–110.5%
    4+–24.7%
    4+–31.4%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-010%
    2. 2.3-09%
    3. 3.2-19%
    4. 4.3-18%
    5. 5.1-07%
    Expected goals
    2,710,90
    Both teams to score
    55%

    Over/under goals

    Expected goals: 3,6
    Under 2,530%
    @3.40EV+3%
    Over 2,570%
    @1.36

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Bodø/Glimt to win79%
    • Over 1.5 goals88%

    Combined probability

    68%

    Fair odds

    1.47

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

    02 · 3 legs

    Balanced

    • Bodø/Glimt to win79%
    • Over 2.5 goals70%
    • Kasper Waarts Thenza Høgh to score35%

    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 goals70%
    • Kasper Waarts Thenza Høgh to score35%
    • Tomáš Nemčík 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+).

    • 1 · Bodø/Glimt79% probability@1.37BetssonEV+8%reference odds
    • 1 · Bodø/Glimt79% probability@1.37NordicbetEV+8%reference odds
    • 1 · Bodø/Glimt79% probability@1.37PinnacleEV+8%reference odds
    Bookmaker1 · Bodø/GlimtX2 · Rosenborg
    Bet365
    EV+ 2%
    1.30
    5.507.00
    Betsafe
    EV+ 7%
    1.36
    5.207.70
    Betsson
    EV+ 8%
    1.37
    5.257.80
    Nordicbet
    EV+ 8%
    1.37
    5.257.80
    Pinnacle
    EV+ 8%
    1.37
    5.917.40

    Odds updated 30 Aug, 05:14

    Odds movement

    1+1 %
    73 %68 %

    1.361.37

    X+4 %
    19 %14 %

    5.665.91

    2+5 %
    16 %11 %

    7.047.40

    Pinnacle · 10 recorded price levels · 21/08/2026 → 30/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    Bodø/Glimt 2Draw 2Rosenborg 1
    Goals: 127 (⌀ 3,8)

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

    Key facts

    • FK Bodo/Glimt dominate this fixture historically: 2 wins to 1 in 5 meetings.
    • A high-scoring fixture: 3.8 goals per meeting on average.
    • FK Bodo/Glimt come into this round on 6 straight wins.
    • FK Bodo/Glimt have scored in 10 consecutive league matches.
    • FK Bodo/Glimt win 76% of their home matches all-time (38 played).
    xG & xGA per match — 3-game rolling average

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

    Bodø/Glimt
    Rosenborg
    When goals are scored and conceded 2026
    Bodø/Glimt (4312)
    Rosenborg (2522)
    Pass networks

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

    Bodø/Glimt
    Odin Bjortuft: 488 passningar, xT 1.1BjortuftFredrik Sjovold: 382 passningar, xT 1.45SjovoldHaitam Aleesami: 327 passningar, xT 0.38AleesamiPatrick Berg: 277 passningar, xT 0.62BergJostein Gundersen: 225 passningar, xT 0.2GundersenIsak Dybvik Maatta: 216 passningar, xT 0.09MaattaFredrik Bjorkan: 172 passningar, xT 0.27BjorkanOle Didrik Blomberg: 164 passningar, xT 1.17BlombergSondre Auklend: 153 passningar, xT 0.51AuklendOla Brynhildsen: 143 passningar, xT -0.17BrynhildsenSondre Brunstad Fet: 125 passningar, xT 0.35Fet
    Rosenborg
    Tomas Nemcik: 242 passningar, xT 0.44NemcikOle Selnaes: 239 passningar, xT 0.89SelnaesMikkel Konradsen Ceide: 195 passningar, xT 0.21CeideJonas Svensson: 183 passningar, xT 0.75SvenssonAdrian Pereira: 174 passningar, xT 0.48PereiraMads Bomholt: 153 passningar, xT 0.89BomholtEmil Konradsen Ceide: 136 passningar, xT 0.53CeideIver Fossum: 93 passningar, xT 0.32FossumAslak Fonn Witry: 68 passningar, xT 0.52WitryLeopold Wahlstedt: 67 passningar, xT 0.14WahlstedtDávid Ďuriš: 59 passningar, xT -0.01Ďuriš
    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.

    Bodø/Glimt
    Odin Bjortuft: 488 passningar, xT 1.1BjortuftFredrik Sjovold: 382 passningar, xT 1.45SjovoldHaitam Aleesami: 327 passningar, xT 0.38AleesamiPatrick Berg: 277 passningar, xT 0.62BergJostein Gundersen: 225 passningar, xT 0.2GundersenIsak Dybvik Maatta: 216 passningar, xT 0.09MaattaFredrik Bjorkan: 172 passningar, xT 0.27BjorkanOle Didrik Blomberg: 164 passningar, xT 1.17BlombergSondre Auklend: 153 passningar, xT 0.51AuklendOla Brynhildsen: 143 passningar, xT -0.17BrynhildsenSondre Brunstad Fet: 125 passningar, xT 0.35Fet
    Rosenborg
    Tomas Nemcik: 242 passningar, xT 0.44NemcikOle Selnaes: 239 passningar, xT 0.89SelnaesMikkel Konradsen Ceide: 195 passningar, xT 0.21CeideJonas Svensson: 183 passningar, xT 0.75SvenssonAdrian Pereira: 174 passningar, xT 0.48PereiraMads Bomholt: 153 passningar, xT 0.89BomholtEmil Konradsen Ceide: 136 passningar, xT 0.53CeideIver Fossum: 93 passningar, xT 0.32FossumAslak Fonn Witry: 68 passningar, xT 0.52WitryLeopold Wahlstedt: 67 passningar, xT 0.14WahlstedtDávid Ďuriš: 59 passningar, xT -0.01Ďuriš

    The teams in numbers

    PerformanceBodø/GlimtRosenborg
    Points4124
    xPoints30.225.7
    xG per match2.71.7
    xGA per match1.11.4
    xG within 8s of winning the ball0.390.17
    xGA within 8s of losing the ball0.180.23
    Playing styleBodø/GlimtRosenborg
    Build-up efficiency0.360.33
    Field tilt0.840.54
    xT per match21.1
    xTA per match0.671.1
    Won balls, offensive half3127
    Pressing intensity0.210.24
    Pressing efficiency0.30.3
    Pressing efficiency, offensive half0.280.28
    Entries into the box per match2914
    Entries into the box against814
    Pass completion %0.840.76
    Pass completion % under pressure0.80.72
    Passes per match598387
    Passes against per match294349
    Switches of play per match40.320.7
    Long balls per match4327
    Set piecesBodø/GlimtRosenborg
    xG from free kicks0.050.07
    Corners per match7.76.5
    Corners against per match2.55.9
    xG per corner0.040.02
    xGA per corner against0.030.04
    First touch, offensive corners %0.610.39
    First touch, defensive corners %0.680.61
    OtherBodø/GlimtRosenborg
    Throw-in control0.760.69
    The goalkeepersNikita Haikin (Bodø/Glimt)Leopold Wahlstedt (Rosenborg)
    Saves3753
    Save %77%71%
    xG prevented53%50%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Bodø/Glimt vs Rosenborg according to our model?

    The model gives Bodø/Glimt a 79% win probability. Full 1X2 picture: Bodø/Glimt 79%, draw 14%, Rosenborg 8%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 70% and under at 30%.

    Will both teams score?

    The probability of both teams scoring is 55% 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.