Serie AStadio Diego Armando Maradona, Napoli19°4,8 mm19 km/h

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    NapoliNapoliBalanced & physical
    vs
    RomaRomaPossession & high press
    The model's lean: 2 · Roma (41%)Best value by the model: Over 3,5 @ 3.20 (+8 %)

    Napoli vs Roma · Serie A

    1 · Napoli 32%X 27%41% Roma · 2

    Prediction summary

    BetBuilders AI model prediction for Napoli vs Roma (Serie A, Saturday, 24 October 2026): Napoli win 32%, draw 27%, Roma win 41%. Expected goals (xG): Napoli 1.29, Roma 1.65. Most likely score: 1-1 (12%). Over 2.5 goals 56%, both teams to score 59%. Double chance: Napoli or draw 59%, Roma or draw 68%. Prediction updated Saturday, 17 October 2026.

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    Analysis: Napoli – Roma

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

    Napoli's home fortress faces a serious challenge: Roma arrive unbeaten in their last 14 league games, and the model gives the visitors a slight edge with 41% to win. Despite Napoli's impressive 71% win rate at home over 41 matches, it’s Roma’s recent form and style that complicate the picture. Their possession and high press could disrupt Napoli's balanced, physical approach, especially since the expected goals lean towards Roma with 1.65 compared to Napoli’s 1.29.

    The numbers point to a tight contest, possibly lacking in fireworks. The most likely scorelines hover around 1-1 (12%) and 1-2 (9%), with a moderate chance of goals: 56% for over 2.5 and 59% for both teams to score. Historical head-to-heads since 2021, albeit from a small sample of four matches, show Napoli unbeaten with 2 wins and 2 draws. Yet, those matches weigh less than the current momentum and expected goals analysis which favors Roma slightly.

    Rain is expected, with 2.8 mm falling during the game, usually leading to fewer goals. This weather factor is already accounted for in the model's predictions, yet it often reinforces a lower-scoring affair, amplifying the appeal of a cautious prediction.

    Napoli has accumulated only 10 points compared to Roma’s 17, and in terms of expected points, Roma again holds an edge. Their stronger xG and superior defensive xGA suggest they’ll likely control the tempo, potentially grinding out a result. For a betting angle, the real value lies in the high-risk play: over 4.5 goals at odds of 6.37 with Betsafe or Nordicbet. This comes with an 11% edge according to the model, for those willing to venture beyond the safety of a low-scoring prediction.

    NapoliNapoli
    Form LWDWL
    League ranking xG #4xGA #8xT #4xP/match #4Points #9
    Key players
    • Amir RrahmaniCBxG 0.06 · xT 0.04
    • Leonardo SpinazzolaLWBxG 0.04 · xT 0.21
    • Rafa MarinCBxG 0.05 · xT 0.08
    RomaRoma
    Form WWDDW
    League ranking xG #2xGA #2xT #1xP/match #1Points #3
    Key players
    • Bryan CristanteCMxG 0.17 · xT 0.12
    • Gianluca ManciniCBxG 0.12 · xT 0.16
    • Evan NdickaCBxG 0.10 · xT 0.03

    Match prediction: Napoli – Roma

    Predicted score matrix

    Roma →
    Napoli →
    0
    1
    2
    3
    4+
    0
    0–05.6%
    0–18.4%
    0–27.2%
    0–34.0%
    0–4+2.4%
    1
    1–06.5%
    1–111.6%
    1–29.3%
    1–35.1%
    1–4+3.0%
    2
    2–04.4%
    2–17.2%
    2–26.0%
    2–33.3%
    2–4+2.0%
    3
    3–01.9%
    3–13.1%
    3–22.6%
    3–31.4%
    3–4+0.8%
    4+
    4+–00.8%
    4+–11.3%
    4+–21.1%
    4+–30.6%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.0-18%
    4. 4.2-17%
    5. 5.0-27%
    Expected goals
    1,29–1,65
    Both teams to score
    59%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @1.95
    Over 2,556%
    @1.89EV+6%

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Double chance Roma or draw (X2)71%
    • Over 1.5 goals79%

    Combined probability

    56%

    Fair odds

    1.77

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

    02 · 3 legs

    Balanced

    • Double chance Roma or draw (X2)71%
    • Over 2.5 goals56%
    • Donyell Malen to score27%

    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 score59%
    • Over 2.5 goals56%
    • Donyell Malen to score27%
    • Bryan Cristante 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+).

    • Over 3.534% probability@3.20BetsafeEV+8%reference odds
    • Over 3.534% probability@3.20NordicbetEV+8%reference odds
    • Over 4.517% probability@6.20BetsafeEV+8%reference odds
    Bookmaker1 · NapoliX2 · Roma
    Betsafe2.753.35
    EV+ 4%
    2.52
    LeoVegas2.803.35
    EV+ 3%
    2.50
    Nordicbet2.783.35
    EV+ 4%
    2.52
    Pinnacle2.893.502.37

    Odds updated 22 Oct, 07:37

    Statistics

    Head-to-head

    4 matches
    Napoli 2Draw 2Roma 0
    Goals: 5–3 (⌀ 2)

    Head-to-head based on Serie A data since 2021.

    Key facts

    • AS Roma are unbeaten in their last 14 league matches.
    • Napoli win 71% of their home matches all-time (41 played).
    xG & xGA per match — 3-game rolling average

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

    Napoli
    Roma
    When goals are scored and conceded — 2026
    Napoli (10–7)
    Roma (16–3)
    Pass networks

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

    Napoli
    Amir Rrahmani: 301 passningar, xT -0.04RrahmaniGiovanni Di Lorenzo: 238 passningar, xT 0.73LorenzoBilly Gilmour: 215 passningar, xT 0.19GilmourStanislav Lobotka: 205 passningar, xT 0.18LobotkaLeonardo Spinazzola: 186 passningar, xT 0.52SpinazzolaRafa Marin: 179 passningar, xT 0.29MarinKevin De Bruyne: 166 passningar, xT 1.5BruyneBenoît Ntambue Badiashile Mukinayi Baya: 134 passningar, xT 0.18BayaMatteo Politano: 80 passningar, xT 0.62PolitanoSam Beukema: 73 passningar, xT 0.09BeukemaAlex Meret: 67 passningar, xT 0.03Meret
    Roma
    Mario Hermoso: 193 passningar, xT 1.08HermosoBryan Cristante: 160 passningar, xT 0.25CristanteNahuel Molina Lucero: 150 passningar, xT 0.71LuceroMatias Soule: 147 passningar, xT 0.82SouleWesley França: 144 passningar, xT 0.82FrançaEvan Ndicka: 133 passningar, xT 0.09NdickaGianluca Mancini: 127 passningar, xT 0.35ManciniLeonardo Julián Balerdi Rosa: 126 passningar, xT 0.26RosaPaulo Dybala: 125 passningar, xT 1.17DybalaManu Kone: 114 passningar, xT 0.16KoneMarten De Roon: 108 passningar, xT 0.04Roon
    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
    Amir Rrahmani: 301 passningar, xT -0.04RrahmaniGiovanni Di Lorenzo: 238 passningar, xT 0.73LorenzoBilly Gilmour: 215 passningar, xT 0.19GilmourStanislav Lobotka: 205 passningar, xT 0.18LobotkaLeonardo Spinazzola: 186 passningar, xT 0.52SpinazzolaRafa Marin: 179 passningar, xT 0.29MarinKevin De Bruyne: 166 passningar, xT 1.5BruyneBenoît Ntambue Badiashile Mukinayi Baya: 134 passningar, xT 0.18BayaMatteo Politano: 80 passningar, xT 0.62PolitanoSam Beukema: 73 passningar, xT 0.09BeukemaAlex Meret: 67 passningar, xT 0.03Meret
    Roma
    Mario Hermoso: 193 passningar, xT 1.08HermosoBryan Cristante: 160 passningar, xT 0.25CristanteNahuel Molina Lucero: 150 passningar, xT 0.71LuceroMatias Soule: 147 passningar, xT 0.82SouleWesley França: 144 passningar, xT 0.82FrançaEvan Ndicka: 133 passningar, xT 0.09NdickaGianluca Mancini: 127 passningar, xT 0.35ManciniLeonardo Julián Balerdi Rosa: 126 passningar, xT 0.26RosaPaulo Dybala: 125 passningar, xT 1.17DybalaManu Kone: 114 passningar, xT 0.16KoneMarten De Roon: 108 passningar, xT 0.04Roon

    The teams in numbers

    PerformanceNapoliRoma
    Points1017
    xPoints11.914.1
    xG per match22.3
    xGA per match1.30.8
    xG within 8s of winning the ball0.140.63
    xGA within 8s of losing the ball0.260.09
    Playing styleNapoliRoma
    Build-up efficiency0.310.29
    Field tilt0.560.63
    xT per match1.41.7
    xTA per match10.69
    Won balls, offensive half2231
    Pressing intensity0.260.23
    Pressing efficiency0.260.29
    Pressing efficiency, offensive half0.230.24
    Entries into the box per match1821
    Entries into the box against139
    Pass completion %0.820.8
    Pass completion % under pressure0.780.75
    Passes per match448456
    Passes against per match387356
    Switches of play per match36.734.7
    Long balls per match3532
    Set piecesNapoliRoma
    xG from free kicks00.01
    Corners per match6.45.1
    Corners against per match4.22.6
    xG per corner0.020.04
    xGA per corner against0.060.07
    First touch, offensive corners %0.660.67
    First touch, defensive corners %0.630.53
    OtherNapoliRoma
    Throw-in control0.750.69
    The goalkeepersAlex Meret (Napoli)Mile Svilar (Roma)
    Saves1514
    Save %71%82%
    xG prevented37%74%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Napoli vs Roma according to our model?

    The model gives Roma a 41% win probability. Full 1X2 picture: Napoli 32%, draw 27%, Roma 41%.

    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 56% and under at 44%.

    Will both teams score?

    The probability of both teams scoring is 59% according to the model.

    How many goals are expected in Napoli vs Roma?

    The model expects 1.29 goals (xG) for Napoli and 1.65 for Roma, 2.94 in total.

    What does the model say about double chance?

    Napoli or draw (1X) 59%, Roma or draw (X2) 68% and no draw (12) 73%.

    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.