Serie AStadio Olimpico, Roma27°16 km/h

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    RomaRomaPossession control
    vs
    AtalantaAtalantaBalanced & physical
    The model's lean: 1 · Roma (52%)

    RomaAtalanta · Serie A

    1 · Roma 52%X 25%23% Atalanta · 2

    Analysis: RomaAtalanta

    Sofia Andersson · · The model's read on the match · How the predictions work

    TEXT: Roma's current form is a force to be reckoned with, as they ride a wave of six consecutive victories. This momentum is reflected not just in their results, but in the underlying numbers as well. The model probabilities favor the hosts at 52% to claim the win, with a draw at 25% and Atalanta trailing behind at 23%. With Roma consistently finding the back of the net in their last 16 league matches, the expectation is for them to continue this trend against a physical Atalanta side.

    Despite Atalanta's ability to balance possession and physicality, they face a daunting task at the Stadio Olimpico. Roma's expected goals (xG) sit at 1.64 compared to Atalanta's 1.00, indicating a clear attacking advantage for the home side. Furthermore, the xPoints heavily lean towards Roma at 2.8 versus Atalanta's 0.5, underscoring the anticipated dominance of the home side in this fixture.

    Though Atalanta has a favorable head-to-head record over the past four encounters with three wins and a draw, this small sample size is overshadowed by Roma's current explosive form and superior xG metrics. Roma's xGA per match is just 0.3, while Atalanta's defensive frailty is apparent at 2.3 xGA per match. This suggests the hosts will likely have ample opportunities to convert their possession into goals.

    The most likely scorelines point towards a tight affair, with 1-1 at 12% and 1-0 at 11%. However, given the data, a 2-0 victory for Roma (10%) reflects both their scoring prowess and defensive solidity. While the over 2.5 goals is nearly a coin toss at 49%, the match leans towards a more restrained affair reflective of Roma's defensive discipline.

    RomaRoma
    Form WWWWW
    League ranking xG #1xGA #1xT #2xP/match #1Points #1
    Key players
    • Donyell MalenFxG 0.71 · xT 0.11
    • Zeki CelikRWBxG 0.11 · xT 0.11
    • Wesley FrançaLWBxG 0.05 · xT 0.18
    AtalantaAtalanta
    Form DWLDW
    League ranking xG #13xGA #18xT #11xP/match #19Points #6
    Key players
    • Nikola KrstovićFxG 0.66 · xT 0.05
    • Lorenzo BernasconiLWBxG 0.01 · xT 0.17
    • Marten De RoonCMxG 0.04 · xT 0.11

    Match prediction: RomaAtalanta

    Predicted score matrix

    Atalanta
    Roma
    0
    1
    2
    3
    4+
    0
    0–07.5%
    0–16.8%
    0–23.6%
    0–31.2%
    0–4+0.4%
    1
    1–011.4%
    1–112.0%
    1–25.8%
    1–31.9%
    1–4+0.6%
    2
    2–09.6%
    2–19.6%
    2–24.8%
    2–31.6%
    2–4+0.5%
    3
    3–05.3%
    3–15.3%
    3–22.6%
    3–30.9%
    3–4+0.3%
    4+
    4+–03.1%
    4+–13.1%
    4+–21.6%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-011%
    3. 3.2-010%
    4. 4.2-110%
    5. 5.0-07%
    Expected goals
    1,641,00
    Both teams to score
    51%

    Over/under goals

    Expected goals: 2,6
    Under 2,551%
    @1.85
    Over 2,549%
    @2.06EV+1%

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Roma to win52%
    • Under 3.5 goals73%

    Combined probability

    36%

    Fair odds

    2.79

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

    02 · 3 legs

    Balanced

    • Roma to win52%
    • Under 2.5 goals51%
    • Leon Patrick Bailey Butler to score28%

    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 score51%
    • Over 2.5 goals49%
    • Leon Patrick Bailey Butler to score28%
    • Gianluca Mancini 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+).

    • 1 · Roma52% probability@1.98Betfair ExchangeEV+4%reference odds
    • Over 2.549% probability@2.06Betfair ExchangeEV+1%reference odds
    • 1 · Roma52% probability@1.92PinnacleEV+0%reference odds
    Bookmaker1 · RomaX2 · Atalanta
    Bet3651.903.304.33
    Betfair Exchange
    EV+ 4%
    1.98
    3.654.30
    Betsafe1.903.404.25
    Betsson1.903.404.30
    Nordicbet1.903.404.30
    Pinnacle
    EV+ 0%
    1.92
    3.624.16

    Odds updated 31 Aug, 16:36

    Statistics

    Head-to-head

    4 matches
    Roma 0Draw 1Atalanta 3
    Goals: 26 (⌀ 2)

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

    Key facts

    • AS Roma come into this round on 6 straight wins.
    • AS Roma have scored in 16 consecutive league matches.
    • AS Roma win 62% of their home matches all-time (96 played).
    xG & xGA per match — 3-game rolling average

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

    Roma
    Atalanta
    When goals are scored and conceded 2026
    Roma (40)
    Atalanta (21)
    Pass networks

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

    Roma
    Bryan Cristante: 72 passningar, xT 0.14CristanteEvan Ndicka: 64 passningar, xT 0.02NdickaManu Kone: 50 passningar, xT 0.03KoneGianluca Mancini: 42 passningar, xT 0.11ManciniMario Hermoso: 42 passningar, xT 0.05HermosoWesley França: 40 passningar, xT 0.45FrançaMile Svilar: 35 passningar, xT 0.01SvilarEmanuele Lulli: 33 passningar, xT 0.01LulliPaulo Dybala: 32 passningar, xT 0.75DybalaMatias Soule: 16 passningar, xT -0.01SouleDonyell Malen: 14 passningar, xT 0.05Malen
    Atalanta
    Giorgio Scalvini: 91 passningar, xT 0.1ScalviniOdilon Kossounou: 88 passningar, xT 0.09KossounouDavide Zappacosta: 60 passningar, xT 0.34ZappacostaGianluca Gaetano: 60 passningar, xT 0.05GaetanoMario Pasalic: 35 passningar, xT -0.07PasalicÉderson: 32 passningar, xT -0.03ÉdersonMarco Carnesecchi: 31 passningar, xT 0.01CarnesecchiNicola Zalewski: 27 passningar, xT 0.09ZalewskiLorenzo Bernasconi: 26 passningar, xT 0.03BernasconiGianluca Scamacca: 21 passningar, xT 0.09ScamaccaGiacomo Raspadori: 16 passningar, xT 0.11Raspadori
    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.

    Roma
    Bryan Cristante: 72 passningar, xT 0.14CristanteEvan Ndicka: 64 passningar, xT 0.02NdickaManu Kone: 50 passningar, xT 0.03KoneGianluca Mancini: 42 passningar, xT 0.11ManciniMario Hermoso: 42 passningar, xT 0.05HermosoWesley França: 40 passningar, xT 0.45FrançaMile Svilar: 35 passningar, xT 0.01SvilarEmanuele Lulli: 33 passningar, xT 0.01LulliPaulo Dybala: 32 passningar, xT 0.75DybalaMatias Soule: 16 passningar, xT -0.01SouleDonyell Malen: 14 passningar, xT 0.05Malen
    Atalanta
    Giorgio Scalvini: 91 passningar, xT 0.1ScalviniOdilon Kossounou: 88 passningar, xT 0.09KossounouDavide Zappacosta: 60 passningar, xT 0.34ZappacostaGianluca Gaetano: 60 passningar, xT 0.05GaetanoMario Pasalic: 35 passningar, xT -0.07PasalicÉderson: 32 passningar, xT -0.03ÉdersonMarco Carnesecchi: 31 passningar, xT 0.01CarnesecchiNicola Zalewski: 27 passningar, xT 0.09ZalewskiLorenzo Bernasconi: 26 passningar, xT 0.03BernasconiGianluca Scamacca: 21 passningar, xT 0.09ScamaccaGiacomo Raspadori: 16 passningar, xT 0.11Raspadori

    The teams in numbers

    PerformanceRomaAtalanta
    Points33
    xPoints2.80.5
    xG per match3.30.88
    xGA per match0.32.3
    xG within 8s of winning the ball0.740.13
    xGA within 8s of losing the ball0.120.39
    Playing styleRomaAtalanta
    Build-up efficiency0.290.33
    Field tilt0.680.46
    xT per match21
    xTA per match0.491.2
    Won balls, offensive half2113
    Pressing intensity0.220.23
    Pressing efficiency0.390.17
    Pressing efficiency, offensive half0.340.11
    Entries into the box per match189
    Entries into the box against413
    Pass completion %0.840.86
    Pass completion % under pressure0.790.83
    Passes per match503551
    Passes against per match291428
    Switches of play per match31.231.6
    Long balls per match3232
    Set piecesRomaAtalanta
    xG from free kicks00
    Corners per match2.14.1
    Corners against per match3.14.1
    xG per corner00.01
    xGA per corner against00.08
    First touch, offensive corners %0.50.25
    First touch, defensive corners %0.670.25
    OtherRomaAtalanta
    Throw-in control0.750.79
    The goalkeepersMile Svilar (Roma)Marco Carnesecchi (Atalanta)
    Saves57
    Save %100%88%
    xG prevented100%51%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Roma vs Atalanta according to our model?

    The model gives Roma a 52% win probability. Full 1X2 picture: Roma 52%, draw 25%, Atalanta 23%.

    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 49% and under at 51%.

    Will both teams score?

    The probability of both teams scoring is 51% 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.