Norwegian Eliteserien12°26,9 mm29 km/h

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    BrannBrannPossession & high press
    vs
    Bodø/GlimtBodø/GlimtPossession & high press
    The model's lean: 2 · Bodø/Glimt (56%)Best value by the model: Under 2,5 @ 3.40 (+17 %)

    Brann vs Bodø/Glimt · Norwegian Eliteserien

    1 · Brann 23%X 21%56% Bodø/Glimt · 2

    Analysis: BrannBodø/Glimt

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

    TEXT: Brann face an uphill battle against Bodø/Glimt, who arrive at this fixture with an intimidating nine-match winning streak. The model heavily favors the visitors, assigning them a 56% chance to secure yet another victory. The most likely scorelines of 1-2 and 0-2 reveal a clear expectation that Bodø/Glimt will outscore the hosts, further emphasized by an expected goals tally of 2.12 compared to the home side's 1.25.

    Both teams favor possession and a high press, a tactical mirror that could result in a midfield stalemate unless Bodø/Glimt's superior attacking numbers break through. The visitors have not only been prolific, scoring in 13 consecutive league games, but they have also dominated this fixture historically with four wins in their last five encounters. Although the head-to-head sample is small, the pattern is hard to ignore.

    Brann's challenge will be compounded by the predicted heavy rain, which could disrupt the fluid high-press game both sides prefer. The model puts the probability of over 2.5 goals at 65%, though the weather might slightly temper the attacking fireworks. Historically, these matchups have averaged 4.2 goals per game, suggesting that the over 2.5 goals market still holds strong merit.

    However, the betting value lies in a different direction. Despite the offensive expectations, the under 2.5 goals market offers intriguing value at odds of 3.4 with Nordicbet, 3.35 with Betsson, and 3.3 with Betsafe. The model identifies a 34% probability for a lower scoreline, offering a significant edge of up to 17%. This represents a calculated risk given the attacking prowess on display, but one worth considering for those looking to capitalize on market inefficiencies.

    BrannBrann
    Form WWDLL
    League ranking xG #4xGA #8xT #3xP/match #12Points #8
    Key players
    • Noah HolmFxG 0.47 · xT 0.04
    • Niklas CastroLWxG 0.30 · xT 0.47
    • Joachim SoltvedtLWBxG 0.22 · xT 0.37
    Bodø/GlimtBodø/Glimt
    Form WWWWW
    League ranking xG #1xGA #1xT #1xP/match #1Points #1
    Key players
    • Andreas HelmersenFxG 1.04 · xT 0.06
    • Jens Petter HaugeLWxG 0.28 · xT 0.36
    • Fredrik SjovoldRBxG 0.10 · xT 0.39

    Match prediction: BrannBodø/Glimt

    Predicted score matrix

    Bodø/Glimt
    Brann
    0
    1
    2
    3
    4+
    0
    0–03.7%
    0–17.0%
    0–27.7%
    0–35.5%
    0–4+4.7%
    1
    1–04.0%
    1–19.4%
    1–29.7%
    1–36.8%
    1–4+5.9%
    2
    2–02.7%
    2–15.7%
    2–26.0%
    2–34.3%
    2–4+3.7%
    3
    3–01.1%
    3–12.4%
    3–22.5%
    3–31.8%
    3–4+1.5%
    4+
    4+–00.5%
    4+–11.0%
    4+–21.0%
    4+–30.7%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-210%
    2. 2.1-19%
    3. 3.0-28%
    4. 4.0-17%
    5. 5.1-37%
    Expected goals
    1,252,12
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,4
    Under 2,535%
    @3.40EV+14%
    Over 2,566%
    @1.33

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Bodø/Glimt to win56%
    • Over 1.5 goals85%

    Combined probability

    50%

    Fair odds

    2.01

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

    02 · 3 legs

    Balanced

    • Bodø/Glimt to win56%
    • Over 2.5 goals65%
    • Ole Didrik Blomberg to score20%

    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 score63%
    • Over 2.5 goals65%
    • Noah Emmanuel Jean Holm to score30%
    • Fredrik Pallesen Knudsen 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+).

    • Under 2.535% probability@3.40NordicbetEV+17%reference odds
    • Under 2.535% probability@3.35BetssonEV+16%reference odds
    • Under 2.535% probability@3.30BetsafeEV+14%reference odds
    Bookmaker1 · BrannX2 · Bodø/Glimt
    Betsafe
    EV+ 6%
    4.65
    4.301.65
    Betsson
    EV+ 7%
    4.70
    4.351.65
    Nordicbet
    EV+ 7%
    4.70
    4.351.65
    Pinnacle
    EV+ 3%
    4.52
    4.701.61

    Odds updated 18 Sept, 07:37

    Odds movement

    1+6 %
    24 %19 %

    4.254.52

    X+2 %
    23 %18 %

    4.624.70

    2-3 %
    60 %55 %

    1.671.61

    Pinnacle · 5 recorded price levels · 15/09/2026 → 18/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    Brann 1Draw 0Bodø/Glimt 4
    Goals: 714 (⌀ 4,2)

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

    Key facts

    • FK Bodo/Glimt dominate this fixture historically: 4 wins to 1 in 5 meetings.
    • A high-scoring fixture: 4.2 goals per meeting on average.
    • FK Bodo/Glimt come into this round on 9 straight wins.
    • FK Bodo/Glimt have scored in 13 consecutive league matches.
    • Brann win 60% of their home matches all-time (40 played).
    xG & xGA per match — 3-game rolling average

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

    Brann
    Bodø/Glimt
    When goals are scored and conceded 2026
    Brann (3731)
    Bodø/Glimt (5217)
    Pass networks

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

    Brann
    Joachim Soltvedt: 353 passningar, xT 2.04SoltvedtJakob Lungi Sørensen: 292 passningar, xT 0.41SørensenThore Pedersen: 253 passningar, xT 0.47PedersenFredrik Pallesen Knudsen: 243 passningar, xT 0.36KnudsenVetle Dragsnes: 224 passningar, xT 0.35DragsnesNiklas Castro: 205 passningar, xT 1.39CastroMathias Dyngeland: 131 passningar, xT 0.15DyngelandLeo Cornic: 113 passningar, xT 0.73CornicDenzel De Roeve: 106 passningar, xT 0.69RoeveNiklas Wassberg: 99 passningar, xT 0.09WassbergKristian Eriksen: 79 passningar, xT -0.05Eriksen
    Bodø/Glimt
    Odin Bjortuft: 455 passningar, xT 0.54BjortuftFredrik Sjovold: 370 passningar, xT 1.8SjovoldPatrick Berg: 284 passningar, xT 0.97BergVillads Nielsen: 270 passningar, xT 0.71NielsenHaitam Aleesami: 226 passningar, xT 0.25AleesamiFredrik Bjorkan: 214 passningar, xT 0.8BjorkanIsak Dybvik Maatta: 166 passningar, xT 0.25MaattaOle Didrik Blomberg: 158 passningar, xT 1.23BlombergSondre Auklend: 158 passningar, xT 0.82AuklendJens Petter Hauge: 145 passningar, xT 0.49HaugeSondre Brunstad Fet: 118 passningar, xT 0.42Fet
    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.

    Brann
    Joachim Soltvedt: 353 passningar, xT 2.04SoltvedtJakob Lungi Sørensen: 292 passningar, xT 0.41SørensenThore Pedersen: 253 passningar, xT 0.47PedersenFredrik Pallesen Knudsen: 243 passningar, xT 0.36KnudsenVetle Dragsnes: 224 passningar, xT 0.35DragsnesNiklas Castro: 205 passningar, xT 1.39CastroMathias Dyngeland: 131 passningar, xT 0.15DyngelandLeo Cornic: 113 passningar, xT 0.73CornicDenzel De Roeve: 106 passningar, xT 0.69RoeveNiklas Wassberg: 99 passningar, xT 0.09WassbergKristian Eriksen: 79 passningar, xT -0.05Eriksen
    Bodø/Glimt
    Odin Bjortuft: 455 passningar, xT 0.54BjortuftFredrik Sjovold: 370 passningar, xT 1.8SjovoldPatrick Berg: 284 passningar, xT 0.97BergVillads Nielsen: 270 passningar, xT 0.71NielsenHaitam Aleesami: 226 passningar, xT 0.25AleesamiFredrik Bjorkan: 214 passningar, xT 0.8BjorkanIsak Dybvik Maatta: 166 passningar, xT 0.25MaattaOle Didrik Blomberg: 158 passningar, xT 1.23BlombergSondre Auklend: 158 passningar, xT 0.82AuklendJens Petter Hauge: 145 passningar, xT 0.49HaugeSondre Brunstad Fet: 118 passningar, xT 0.42Fet

    The teams in numbers

    PerformanceBrannBodø/Glimt
    Points2650
    xPoints24.639.8
    xG per match1.93
    xGA per match1.60.98
    xG within 8s of winning the ball0.340.53
    xGA within 8s of losing the ball0.230.25
    Playing styleBrannBodø/Glimt
    Build-up efficiency0.330.36
    Field tilt0.680.82
    xT per match1.62
    xTA per match1.10.66
    Won balls, offensive half3031
    Pressing intensity0.230.22
    Pressing efficiency0.340.3
    Pressing efficiency, offensive half0.340.28
    Entries into the box per match2229
    Entries into the box against139
    Pass completion %0.760.84
    Pass completion % under pressure0.710.79
    Passes per match441597
    Passes against per match273306
    Switches of play per match28.843.1
    Long balls per match3744
    Set piecesBrannBodø/Glimt
    xG from free kicks0.060.04
    Corners per match6.77.9
    Corners against per match52.5
    xG per corner0.030.03
    xGA per corner against0.030.02
    First touch, offensive corners %0.430.59
    First touch, defensive corners %0.590.62
    OtherBrannBodø/Glimt
    Throw-in control0.70.75
    The goalkeepersMathias Dyngeland (Brann)Nikita Haikin (Bodø/Glimt)
    Saves4043
    Save %66%75%
    xG prevented45%54%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

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

    The model gives Bodø/Glimt a 56% win probability. Full 1X2 picture: Brann 23%, draw 21%, Bodø/Glimt 56%.

    What is the most likely scoreline?

    The model's most likely final score is 1-2 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 66% and under at 35%.

    Will both teams score?

    The probability of both teams scoring is 63% 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.