Norwegian Eliteserien3°0,3 mm14 km/h

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    Bodø/GlimtBodø/GlimtPossession & high press
    vs
    KristiansundKristiansundLow block & direct
    The model's lean: 1 · Bodø/Glimt (83%)Best value by the model: 2 · Kristiansund @ 36.00 (+124 %)

    Bodø/Glimt vs Kristiansund · Norwegian Eliteserien

    1 · Bodø/Glimt 83%X 11%6% Kristiansund · 2

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    Analysis: Bodø/Glimt – Kristiansund

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    Bodø/Glimt have dominated Kristiansund in their recent head-to-head matchups, winning four of the five encounters since 2021. While the sample size is small, it aligns with the broader statistical dominance the home side displays in the Eliteserien. With a robust 78% win rate at home over 40 matches, it's hard to see the visitors breaking through at Aspmyra Stadion.

    The statistical underpinnings of this matchup further skew heavily in favor of the hosts. Bodø/Glimt are averaging 3.0 expected goals per match against Kristiansund's 1.2, with the home side also more secure defensively. The expected goals against (xGA) for Bodø/Glimt stands at 0.98 per match, compared to the visitors’ 1.9. The possession-based, high-press style of Bodø/Glimt is set to pin Kristiansund's low defensive setup in their own half, creating a fertile ground for scoring opportunities.

    With the model assigning an 83% chance of victory to Bodø/Glimt and projecting a 74% probability for over 2.5 goals, it's clear which side is favored. The most likely scorelines of 3-0 and 2-0 suggest a comprehensive home win, while the recent form backs this up; Bodø/Glimt have found the net in 14 consecutive league matches, showcasing their relentless attacking prowess.

    For the betting angle, two value bets emerge. The under 4.5 goals at odds of 1.769 with LeoVegas offers a 17% edge according to the model, appealing to those seeking a safe yet profitable play. Meanwhile, for the risk-takers, the draw at odds of 10.0, with a 10% edge, is an intriguing long shot. However, given the statistics and form, the prudent path points to a stable home win with a lean toward under 4.5 goals.

    Bodø/GlimtBodø/Glimt
    Form WWWWL
    League ranking xG #1xGA #1xT #1xP/match #1Points #2
    Key players
    • Andreas HelmersenFxG 0.98 · xT 0.04
    • Jens Petter HaugeLWxG 0.28 · xT 0.36
    • Fredrik SjovoldRBxG 0.10 · xT 0.39
    KristiansundKristiansund
    Form LDWLL
    League ranking xG #15xGA #14xT #16xP/match #10Points #15
    Key players
    • Leander AlvheimFxG 0.40 · xT 0.01
    • Jesper IsaksenLWBxG 0.07 · xT 0.06
    • Sander Hestetun KilenLWxG 0.18 · xT 0.09

    Match prediction: Bodø/Glimt – Kristiansund

    Predicted score matrix

    Kristiansund →
    Bodø/Glimt →
    0
    1
    2
    3
    4+
    0
    0–02.3%
    0–11.4%
    0–20.6%
    0–30.1%
    0–4+0.0%
    1
    1–06.5%
    1–15.1%
    1–21.8%
    1–30.4%
    1–4+0.1%
    2
    2–010.3%
    2–17.6%
    2–22.8%
    2–30.7%
    2–4+0.1%
    3
    3–010.7%
    3–17.9%
    3–22.9%
    3–30.7%
    3–4+0.2%
    4+
    4+–017.9%
    4+–113.2%
    4+–24.9%
    4+–31.2%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.3-011%
    2. 2.2-010%
    3. 3.4-08%
    4. 4.3-18%
    5. 5.2-18%
    Expected goals
    3,10–0,74
    Both teams to score
    50%

    Over/under goals

    Expected goals: 3,8
    Under 2,526%
    @4.80EV+22%
    Over 2,574%
    @1.19

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Bodø/Glimt to win83%
    • Over 1.5 goals90%

    Combined probability

    77%

    Fair odds

    1.30

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

    02 · 3 legs

    Balanced

    • Bodø/Glimt to win83%
    • Over 2.5 goals74%
    • Ole Didrik Blomberg to score33%

    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 score50%
    • Over 2.5 goals74%
    • Ole Didrik Blomberg to score33%
    • Wilfred George Igor 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 · Kristiansund6% probability@36.00NordicbetEV+124%reference odds
    • 2 · Kristiansund6% probability@33.00BetsafeEV+105%reference odds
    • Under 3.547% probability@2.72NordicbetEV+27%reference odds
    Bookmaker1 · Bodø/GlimtX2 · Kristiansund
    Betsafe1.098.90
    EV+ 105%
    33.00
    LeoVegas1.07
    EV+ 4%
    9.50
    EV+ 6%
    17.00
    Nordicbet1.109.00
    EV+ 124%
    36.00

    Odds updated 2 Oct, 15:36

    Odds movement

    10 %
    88 %83 %

    1.07 → 1.07

    X-5 %
    12 %7 %

    10.00 → 9.50

    2+13 %
    8 %3 %

    15.00 → 17.00

    LeoVegas · 3 recorded price levels · 02/10/2026 → 02/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    Bodø/Glimt 4Draw 1Kristiansund 0
    Goals: 19–4 (⌀ 4,6)

    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.
    • A high-scoring fixture: 4.6 goals per meeting on average.
    • FK Bodo/Glimt have scored in 14 consecutive league matches.
    • FK Bodo/Glimt win 78% of their home matches all-time (40 played).
    xG & xGA per match — 3-game rolling average

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

    Bodø/Glimt
    Kristiansund
    When goals are scored and conceded — 2026
    Bodø/Glimt (53–19)
    Kristiansund (21–40)
    Pass networks

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

    Bodø/Glimt
    Odin Bjortuft: 417 passningar, xT 0.44BjortuftFredrik Sjovold: 353 passningar, xT 1.54SjovoldPatrick Berg: 282 passningar, xT 1.32BergVillads Nielsen: 270 passningar, xT 0.71NielsenFredrik Bjorkan: 247 passningar, xT 1.34BjorkanHaitam Aleesami: 205 passningar, xT 0.3AleesamiIsak Dybvik Maatta: 175 passningar, xT 0.59MaattaJens Petter Hauge: 159 passningar, xT 0.54HaugeOle Didrik Blomberg: 142 passningar, xT 0.91BlombergSondre Auklend: 135 passningar, xT 0.46AuklendSondre Brunstad Fet: 118 passningar, xT 0.21Fet
    Kristiansund
    Julius Mar Juliusson: 185 passningar, xT 0.63JuliussonHeine Gikling Bruseth: 181 passningar, xT 0.04BrusethJesper Isaksen: 175 passningar, xT 0.3IsaksenDan Peter Ulvestad: 175 passningar, xT 0.22UlvestadMarius Elvius Kolind-Jørgensen: 102 passningar, xT 0.55Kolind-JørgensenMichael Lansing: 101 passningar, xT 0.3LansingWilfred George Igor: 100 passningar, xT 0.04IgorJohn Shuguto Kitolano: 90 passningar, xT 0.11KitolanoSander Svendsen: 75 passningar, xT 0.13SvendsenLeander Alvheim: 55 passningar, xT -0.01AlvheimFrederik Flex: 54 passningar, xT 0.09Flex
    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: 417 passningar, xT 0.44BjortuftFredrik Sjovold: 353 passningar, xT 1.54SjovoldPatrick Berg: 282 passningar, xT 1.32BergVillads Nielsen: 270 passningar, xT 0.71NielsenFredrik Bjorkan: 247 passningar, xT 1.34BjorkanHaitam Aleesami: 205 passningar, xT 0.3AleesamiIsak Dybvik Maatta: 175 passningar, xT 0.59MaattaJens Petter Hauge: 159 passningar, xT 0.54HaugeOle Didrik Blomberg: 142 passningar, xT 0.91BlombergSondre Auklend: 135 passningar, xT 0.46AuklendSondre Brunstad Fet: 118 passningar, xT 0.21Fet
    Kristiansund
    Julius Mar Juliusson: 185 passningar, xT 0.63JuliussonHeine Gikling Bruseth: 181 passningar, xT 0.04BrusethJesper Isaksen: 175 passningar, xT 0.3IsaksenDan Peter Ulvestad: 175 passningar, xT 0.22UlvestadMarius Elvius Kolind-Jørgensen: 102 passningar, xT 0.55Kolind-JørgensenMichael Lansing: 101 passningar, xT 0.3LansingWilfred George Igor: 100 passningar, xT 0.04IgorJohn Shuguto Kitolano: 90 passningar, xT 0.11KitolanoSander Svendsen: 75 passningar, xT 0.13SvendsenLeander Alvheim: 55 passningar, xT -0.01AlvheimFrederik Flex: 54 passningar, xT 0.09Flex

    The teams in numbers

    PerformanceBodø/GlimtKristiansund
    Points5019
    xPoints41.126.6
    xG per match31.2
    xGA per match0.981.9
    xG within 8s of winning the ball0.510.23
    xGA within 8s of losing the ball0.260.3
    Playing styleBodø/GlimtKristiansund
    Build-up efficiency0.360.32
    Field tilt0.820.4
    xT per match20.73
    xTA per match0.681.5
    Won balls, offensive half3125
    Pressing intensity0.220.23
    Pressing efficiency0.30.26
    Pressing efficiency, offensive half0.280.19
    Entries into the box per match2910
    Entries into the box against916
    Pass completion %0.840.74
    Pass completion % under pressure0.790.7
    Passes per match591313
    Passes against per match304446
    Switches of play per match43.625.1
    Long balls per match4434
    Set piecesBodø/GlimtKristiansund
    xG from free kicks0.040.06
    Corners per match7.84.3
    Corners against per match2.56.7
    xG per corner0.030.02
    xGA per corner against0.020.03
    First touch, offensive corners %0.580.44
    First touch, defensive corners %0.630.7
    OtherBodø/GlimtKristiansund
    Throw-in control0.740.66
    The goalkeepersNikita Haikin (Bodø/Glimt)Adrian Saether (Kristiansund)
    Saves4344
    Save %75%69%
    xG prevented54%55%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

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

    The model gives Bodø/Glimt a 83% win probability. Full 1X2 picture: Bodø/Glimt 83%, draw 11%, Kristiansund 6%.

    What is the most likely scoreline?

    The model's most likely final score is 3-0 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 74% and under at 26%.

    Will both teams score?

    The probability of both teams scoring is 50% 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.