Champions League14°3,3 mm25 km/h

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    NapoliNapoliCounter-attacks & crosses
    vs
    Bodø/GlimtBodø/GlimtPossession & high press
    The model's lean: 2 · Bodø/Glimt (43%)

    Napoli vs Bodø/Glimt · Champions League

    1 · Napoli 35%X 22%43% Bodø/Glimt · 2

    Prediction summary

    BetBuilders AI model prediction for Napoli vs Bodø/Glimt (Champions League, Tuesday, 20 October 2026): Napoli win 35%, draw 22%, Bodø/Glimt win 43%. Expected goals (xG): Napoli 1.51, Bodø/Glimt 1.46. Most likely score: 1-1 (12%). Over 2.5 goals 57%, both teams to score 60%. Double chance: Napoli or draw 57%, Bodø/Glimt or draw 65%. Prediction updated Monday, 12 October 2026.

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    Analysis: Napoli – Bodø/Glimt

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

    TEXT: Napoli's strategy centers on counter-attacks and crossing, a style that will clash starkly with Bodø/Glimt's possession-based high press. This tactical tension could shape the match dynamics at the Stadio Diego Armando Maradona. Statistics suggest an intriguing battle, with the visitors' pressing game likely to unsettle Napoli, who struggle to maintain possession against aggressive setups. The model leans towards a Bodø/Glimt victory, offering them a 43% chance compared to Napoli's 35%.

    Recent form gives Bodø/Glimt the upper hand. They've amassed nine points with an xG per match of 1.8, significantly higher than Napoli's 0.25. Defensively, the hosts have been porous, conceding an xGA of 3.8 per match, which could spell trouble against the Norwegian side's efficient attack.

    Weather conditions forecast 3.3 mm of rain, which might slightly dampen scoring possibilities, yet the model still shows a 57% probability for over 2.5 goals. Both teams are likely to find the net, with the likelihood sitting at 60%. The most probable outcomes are a 1-1 draw or a 2-1 win for either side. Given the xG and playing styles, a 1-2 result seems plausible.

    NapoliNapoli
    Form WLDLL
    League ranking xG #54xGA #55xT #51xP/match #54Points #42
    Key players
    • Stanislav LobotkaCDMxG 0.00 · xT 0.06
    • Rasmus HojlundFxG 0.36 · xT 0.00
    • Giovanni Di LorenzoRWBxG 0.12 · xT 0.17
    Bodø/GlimtBodø/Glimt
    Form LWWWL
    League ranking xG #18xGA #32xT #18xP/match #27Points #2
    Key players
    • Jens Petter HaugeLWxG 0.29 · xT 0.33
    • Patrick BergCDMxG 0.11 · xT 0.10
    • Andreas HelmersenFxG 0.88 · xT -0.01

    Match prediction: Napoli – Bodø/Glimt

    Predicted score matrix

    Bodø/Glimt →
    Napoli →
    0
    1
    2
    3
    4+
    0
    0–05.5%
    0–17.2%
    0–25.5%
    0–32.7%
    0–4+1.4%
    1
    1–07.4%
    1–111.6%
    1–28.3%
    1–34.0%
    1–4+2.0%
    2
    2–05.8%
    2–18.5%
    2–26.2%
    2–33.0%
    2–4+1.5%
    3
    3–02.9%
    3–14.3%
    3–23.1%
    3–31.5%
    3–4+0.8%
    4+
    4+–01.5%
    4+–12.3%
    4+–21.7%
    4+–30.8%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-28%
    4. 4.1-07%
    5. 5.0-17%
    Expected goals
    1,51–1,46
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    –
    Over 2,557%
    –

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    01 · 2 legs

    Safe

    • Double chance Bodø/Glimt or draw (X2)62%
    • Over 1.5 goals80%

    Combined probability

    49%

    Fair odds

    2.04

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

    02 · 3 legs

    Balanced

    • Double chance Bodø/Glimt or draw (X2)62%
    • Over 2.5 goals57%
    • Jens Petter Hauge to score23%

    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 score60%
    • Over 2.5 goals57%
    • André-Frank Zambo Anguissa to score24%
    • Stanislav Lobotka 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

    No odds available yet.

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Napoli
    Bodø/Glimt
    When goals are scored and conceded — 2026
    Napoli (0–1)
    Bodø/Glimt (9–8)
    Pass networks

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

    Napoli
    Rafa Marin: 70 passningar, xT 0.09MarinAmir Rrahmani: 59 passningar, xT 0.03RrahmaniMathías Olivera Miramontes: 42 passningar, xT 0.02MiramontesBilly Gilmour: 42 passningar, xT 0.03GilmourGiovanni Di Lorenzo: 27 passningar, xT 0LorenzoAlex Meret: 27 passningar, xT 0.02MeretStanislav Lobotka: 27 passningar, xT 0.04LobotkaAlisson de Almeida Santos: 19 passningar, xT 0SantosKevin De Bruyne: 17 passningar, xT 0.04BruyneVanja Milinković-Savić: 15 passningar, xT 0.02Milinković-SavićMatteo Politano: 11 passningar, xT -0.02Politano
    Bodø/Glimt
    Odin Bjortuft: 358 passningar, xT 0.75BjortuftFredrik Sjovold: 260 passningar, xT 0.24SjovoldPatrick Berg: 204 passningar, xT 0.25BergFredrik Bjorkan: 191 passningar, xT 0.33BjorkanVillads Nielsen: 170 passningar, xT 0.24NielsenJens Petter Hauge: 167 passningar, xT 1.05HaugeOle Didrik Blomberg: 136 passningar, xT 0.85BlombergHaitam Aleesami: 121 passningar, xT 0.18AleesamiSondre Brunstad Fet: 96 passningar, xT 0.1FetSondre Auklend: 94 passningar, xT 0.13AuklendNikita Haikin: 72 passningar, xT 0.14Haikin
    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.

    Napoli
    Rafa Marin: 70 passningar, xT 0.09MarinAmir Rrahmani: 59 passningar, xT 0.03RrahmaniMathías Olivera Miramontes: 42 passningar, xT 0.02MiramontesBilly Gilmour: 42 passningar, xT 0.03GilmourGiovanni Di Lorenzo: 27 passningar, xT 0LorenzoAlex Meret: 27 passningar, xT 0.02MeretStanislav Lobotka: 27 passningar, xT 0.04LobotkaAlisson de Almeida Santos: 19 passningar, xT 0SantosKevin De Bruyne: 17 passningar, xT 0.04BruyneVanja Milinković-Savić: 15 passningar, xT 0.02Milinković-SavićMatteo Politano: 11 passningar, xT -0.02Politano
    Bodø/Glimt
    Odin Bjortuft: 358 passningar, xT 0.75BjortuftFredrik Sjovold: 260 passningar, xT 0.24SjovoldPatrick Berg: 204 passningar, xT 0.25BergFredrik Bjorkan: 191 passningar, xT 0.33BjorkanVillads Nielsen: 170 passningar, xT 0.24NielsenJens Petter Hauge: 167 passningar, xT 1.05HaugeOle Didrik Blomberg: 136 passningar, xT 0.85BlombergHaitam Aleesami: 121 passningar, xT 0.18AleesamiSondre Brunstad Fet: 96 passningar, xT 0.1FetSondre Auklend: 94 passningar, xT 0.13AuklendNikita Haikin: 72 passningar, xT 0.14Haikin

    The teams in numbers

    PerformanceNapoliBodø/Glimt
    Points09
    xPoints0.25.4
    xG per match0.251.8
    xGA per match3.81.7
    xG within 8s of winning the ball00.15
    xGA within 8s of losing the ball0.730.2
    Playing styleNapoliBodø/Glimt
    Build-up efficiency0.310.36
    Field tilt0.10.6
    xT per match0.361.3
    xTA per match2.21.4
    Won balls, offensive half1128
    Pressing intensity0.280.26
    Pressing efficiency0.210.25
    Pressing efficiency, offensive half0.210.27
    Entries into the box per match419
    Entries into the box against3413
    Pass completion %0.820.82
    Pass completion % under pressure0.750.8
    Passes per match413497
    Passes against per match593381
    Switches of play per match33.933.6
    Long balls per match4132
    Set piecesNapoliBodø/Glimt
    xG from free kicks00
    Corners per match04.5
    Corners against per match6.33.8
    xG per corner00.02
    xGA per corner against0.010.03
    First touch, offensive corners %00.58
    First touch, defensive corners %0.330.62
    OtherNapoliBodø/Glimt
    Throw-in control0.830.78
    The goalkeepersAlex Meret (Napoli)Nikita Haikin (Bodø/Glimt)
    Saves415
    Save %100%83%
    xG prevented100%61%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

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

    The model gives Bodø/Glimt a 43% win probability. Full 1X2 picture: Napoli 35%, draw 22%, Bodø/Glimt 43%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 60% according to the model.

    How many goals are expected in Napoli vs Bodø/Glimt?

    The model expects 1.51 goals (xG) for Napoli and 1.46 for Bodø/Glimt, 2.97 in total.

    What does the model say about double chance?

    Napoli or draw (1X) 57%, Bodø/Glimt or draw (X2) 65% and no draw (12) 78%.

    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.