Norwegian Eliteserien12°4,6 mm11 km/h

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    FredrikstadFredrikstadBalanced & physical
    12
    Bodø/GlimtBodø/GlimtPossession & high press
    The model's lean: 2 · Bodø/Glimt (77%)

    FredrikstadBodø/Glimt · Norwegian Eliteserien

    1 · Fredrikstad 9%X 14%77% Bodø/Glimt · 2

    Analysis: FredrikstadBodø/Glimt

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

    The model gives Bodø/Glimt a commanding 77% chance to win, a figure backed by their relentless form and their 7-game winning streak. They have consistently dominated the head-to-head with Fredrikstad, winning four out of the last five meetings. This small sample is less significant than the current form and expected goals, where the visitors average 2.7 xG per match compared to the hosts' 1.3.

    Fredrikstad are on a strong 4-game winning streak themselves, but their 0.87 expected goals against Bodø/Glimt's 2.73 suggests they face a significant uphill battle. Their balanced and physical style might struggle against the visitors' high press and possession-based approach. The rain, predicted at 4.6 mm, could suppress scoring but is already factored into the model's strong lean towards over 2.5 goals (70%).

    Betsson and Nordicbet offer Bodø/Glimt at 1.3 odds, aligning perfectly with the model's 77% win probability for the visitors, albeit with no edge. The most likely scoreline is 0-2 at 10%, closely followed by 0-3 and 1-2 at 9%. Expect Bodø/Glimt to continue their scoring run, while Fredrikstad's task seems daunting against the in-form visitors.

    FredrikstadFredrikstad
    Form LWWWW
    League ranking xG #12xGA #16xT #14xP/match #17Points #7
    Key players
    • Daniel EidRWxG 0.10 · xT 0.23
    • Benjamin FaraasFxG 0.40 · xT 0.02
    • Henrik SkogvoldFxG 0.23 · xT 0.03
    Bodø/GlimtBodø/Glimt
    Form WWWWW
    League ranking xG #1xGA #1xT #1xP/match #1Points #1
    Key players
    • Andreas HelmersenFxG 0.99 · xT 0.06
    • Jens Petter HaugeLWxG 0.17 · xT 0.41
    • Fredrik SjovoldRBxG 0.10 · xT 0.41
    Final score
    12
    The model called the outcome
    Predicted probabilities: Fredrikstad 9% · Draw 14% · Bodø/Glimt 77%

    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 - Bodø/GlimtBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 3,16fair 3,55-11 %
    Miss
    Matchresultat - FredrikstadBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 22,24fair 36,58-39 %
    Miss

    Match prediction: FredrikstadBodø/Glimt

    Predicted score matrix

    Bodø/Glimt
    Fredrikstad
    0
    1
    2
    3
    4+
    0
    0–02.9%
    0–17.3%
    0–210.2%
    0–39.2%
    0–4+12.2%
    1
    1–02.2%
    1–16.7%
    1–28.9%
    1–38.1%
    1–4+10.6%
    2
    2–01.0%
    2–12.8%
    2–23.9%
    2–33.5%
    2–4+4.6%
    3
    3–00.3%
    3–10.8%
    3–21.1%
    3–31.0%
    3–4+1.3%
    4+
    4+–00.1%
    4+–10.2%
    4+–20.3%
    4+–30.3%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.0-210%
    2. 2.0-39%
    3. 3.1-29%
    4. 4.1-38%
    5. 5.0-17%
    Expected goals
    0,872,73
    Both teams to score
    55%

    Over/under goals

    Expected goals: 3,6
    Under 2,530%
    @3.00
    Over 2,570%
    @1.40

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Bodø/Glimt to win77%
    • Over 1.5 goals88%

    Combined probability

    69%

    Fair odds

    1.46

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

    02 · 3 legs

    Balanced

    • Bodø/Glimt to win77%
    • Over 2.5 goals70%
    • Ole Didrik Blomberg to score26%

    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%
    • Ole Didrik Blomberg to score26%
    • Samuel Ruben Leach Holm 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 · Bodø/Glimt77% probability@1.33PinnacleEV+3%reference odds
    • 2 · Bodø/Glimt77% probability@1.32BetssonEV+2%reference odds
    • 2 · Bodø/Glimt77% probability@1.32NordicbetEV+2%reference odds
    Bookmaker1 · FredrikstadX2 · Bodø/Glimt
    Betsafe9.605.20
    EV+ 1%
    1.31
    Betsson9.805.30
    EV+ 2%
    1.32
    Nordicbet9.805.30
    EV+ 2%
    1.32
    Pinnacle7.915.88
    EV+ 3%
    1.33

    Odds updated 4 Sept, 11:37

    Odds movement

    1+1 %
    14 %9 %

    7.837.91

    X+1 %
    18 %13 %

    5.845.88

    2+1 %
    76 %71 %

    1.321.33

    Pinnacle · 10 recorded price levels · 31/08/2026 → 04/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    Fredrikstad 0Draw 1Bodø/Glimt 4
    Goals: 211 (⌀ 2,6)

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

    Key facts

    • FK Bodo/Glimt dominate this fixture historically: 4 wins to 0 in 5 meetings.
    • Fredrikstad come into this round on 4 straight wins.
    • FK Bodo/Glimt come into this round on 7 straight wins.
    • FK Bodo/Glimt have scored in 11 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Fredrikstad
    Bodø/Glimt
    When goals are scored and conceded 2026
    Fredrikstad (2228)
    Bodø/Glimt (4714)
    Pass networks

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

    Fredrikstad
    Fredrik Holme: 283 passningar, xT 0.23HolmeMax Mattias Nilsson: 235 passningar, xT 0.55NilssonDaniel Eid: 181 passningar, xT 0.88EidUlrik Fredriksen: 176 passningar, xT 0.19FredriksenIsak Helstad Amundsen: 137 passningar, xT 0.15AmundsenMartin Borsheim: 123 passningar, xT 0.1BorsheimOskar Ohlenschlaeger: 112 passningar, xT -0.04OhlenschlaegerSamuel Ruben Leach Holm: 102 passningar, xT 0.16HolmFanuel Ghebreyohannes Yrga-Alem: 84 passningar, xT 0.43Yrga-AlemSimen Rafn: 79 passningar, xT 0.16RafnSolomon Owusu: 75 passningar, xT 0.14Owusu
    Bodø/Glimt
    Odin Bjortuft: 430 passningar, xT 0.7BjortuftFredrik Sjovold: 367 passningar, xT 1.42SjovoldHaitam Aleesami: 327 passningar, xT 0.38AleesamiPatrick Berg: 317 passningar, xT 1.04BergFredrik Bjorkan: 217 passningar, xT 0.96BjorkanIsak Dybvik Maatta: 147 passningar, xT 0.25MaattaSondre Auklend: 136 passningar, xT 0.41AuklendOle Didrik Blomberg: 135 passningar, xT 1.48BlombergOla Brynhildsen: 133 passningar, xT -0.27BrynhildsenJens Petter Hauge: 128 passningar, xT 0.18HaugeVillads Nielsen: 111 passningar, xT 0.12Nielsen
    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.

    Fredrikstad
    Fredrik Holme: 283 passningar, xT 0.23HolmeMax Mattias Nilsson: 235 passningar, xT 0.55NilssonDaniel Eid: 181 passningar, xT 0.88EidUlrik Fredriksen: 176 passningar, xT 0.19FredriksenIsak Helstad Amundsen: 137 passningar, xT 0.15AmundsenMartin Borsheim: 123 passningar, xT 0.1BorsheimOskar Ohlenschlaeger: 112 passningar, xT -0.04OhlenschlaegerSamuel Ruben Leach Holm: 102 passningar, xT 0.16HolmFanuel Ghebreyohannes Yrga-Alem: 84 passningar, xT 0.43Yrga-AlemSimen Rafn: 79 passningar, xT 0.16RafnSolomon Owusu: 75 passningar, xT 0.14Owusu
    Bodø/Glimt
    Odin Bjortuft: 430 passningar, xT 0.7BjortuftFredrik Sjovold: 367 passningar, xT 1.42SjovoldHaitam Aleesami: 327 passningar, xT 0.38AleesamiPatrick Berg: 317 passningar, xT 1.04BergFredrik Bjorkan: 217 passningar, xT 0.96BjorkanIsak Dybvik Maatta: 147 passningar, xT 0.25MaattaSondre Auklend: 136 passningar, xT 0.41AuklendOle Didrik Blomberg: 135 passningar, xT 1.48BlombergOla Brynhildsen: 133 passningar, xT -0.27BrynhildsenJens Petter Hauge: 128 passningar, xT 0.18HaugeVillads Nielsen: 111 passningar, xT 0.12Nielsen

    The teams in numbers

    PerformanceFredrikstadBodø/Glimt
    Points2644
    xPoints19.932.5
    xG per match1.32.7
    xGA per match1.91.1
    xG within 8s of winning the ball0.160.41
    xGA within 8s of losing the ball0.30.18
    Playing styleFredrikstadBodø/Glimt
    Build-up efficiency0.360.36
    Field tilt0.420.82
    xT per match0.92.1
    xTA per match1.10.67
    Won balls, offensive half2431
    Pressing intensity0.230.21
    Pressing efficiency0.270.3
    Pressing efficiency, offensive half0.260.28
    Entries into the box per match1129
    Entries into the box against168
    Pass completion %0.760.84
    Pass completion % under pressure0.730.79
    Passes per match374595
    Passes against per match427303
    Switches of play per match25.340.9
    Long balls per match3744
    Set piecesFredrikstadBodø/Glimt
    xG from free kicks0.070.05
    Corners per match48
    Corners against per match6.12.5
    xG per corner0.040.04
    xGA per corner against0.050.03
    First touch, offensive corners %0.380.59
    First touch, defensive corners %0.50.65
    OtherFredrikstadBodø/Glimt
    Throw-in control0.760.76
    The goalkeepersMartin Borsheim (Fredrikstad)Nikita Haikin (Bodø/Glimt)
    Saves6438
    Save %70%75%
    xG prevented38%52%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

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

    The model gives Bodø/Glimt a 77% win probability. Full 1X2 picture: Fredrikstad 9%, draw 14%, Bodø/Glimt 77%.

    What is the most likely scoreline?

    The model's most likely final score is 0-2 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.