Serie AGewiss Stadium, Bergamo22°29,6 mm6 km/h

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    AtalantaAtalanta
    vs
    SassuoloSassuolo
    The model's lean: 1 · Atalanta (66%)

    AtalantaSassuolo · Serie A

    1 · Atalanta 66%X 21%13% Sassuolo · 2

    Analysis: AtalantaSassuolo

    Anna Karlsson · · A data-driven preview · How the predictions work

    Four wins out of six meetings since 2021 paint a picture of dominance for Atalanta when it comes to their encounters with Sassuolo. However, the small sample size tempers the reliability of this historical edge. What stands out more convincingly is Atalanta's current run, having found the net in 12 consecutive league matches — a streak that suggests Sassuolo's defense will be tested thoroughly.

    With Atalanta's probability of victory pegged at 66% by the model, it's clear that they are the frontrunners in this clash, a notion reinforced by expected goals: Atalanta 1.93 to Sassuolo's 0.92. The odds offered by Betsafe, Betsson, and Nordicbet at 1.55 for an Atalanta win reflect a slight value edge, with the model's assessment aligning the odds at an equivalent 66% probability — a tidy 2% advantage.

    Sassuolo's chances seem slim at a modest 13%, and given that the weather forecast of 23.8°C with 2.1 mm of rain could dampen offensive flair, a conservative scoreline is most likely. The numbers whisper of a tight contest leaning towards Atalanta — a 1-0 or 2-0 victory, each at 11% likelihood, fits the script. Rain could moderate the pace, potentially limiting the goal count, though the over 2.5 goals probability still edges past the halfway mark at 54%.

    Atalanta, with their relentless scoring form, look poised to exploit Sassuolo's defensive vulnerabilities. While the potential for both teams to score sits at 52%, the edge is sharpest on a home win. With three bookmakers offering a slightly profitable edge on an Atalanta victory at odds of 1.55, the smart money might just sit comfortably in Bergamo.

    AtalantaAtalanta
    Form WWWWL
    Key players
    • Gianluca ScamaccaFxG 0.46 · xT 0.02
    • Teun KoopmeinersCAMxG 0.20 · xT 0.29
    • Giorgio ScalviniCBxG 0.05 · xT 0.15
    SassuoloSassuolo
    Form LWLLD
    Key players
    • Armand LaurientéLWxG 0.19 · xT 0.20
    • Domenico BerardiRWxG 0.46 · xT 0.32
    • Nedim BajramiFxG 0.13 · xT 0.19

    Match prediction: AtalantaSassuolo

    Predicted score matrix

    Sassuolo
    Atalanta
    0
    1
    2
    3
    4+
    0
    0–06.1%
    0–15.0%
    0–22.5%
    0–30.8%
    0–4+0.2%
    1
    1–010.9%
    1–110.6%
    1–24.7%
    1–31.5%
    1–4+0.4%
    2
    2–010.8%
    2–19.9%
    2–24.6%
    2–31.4%
    2–4+0.4%
    3
    3–06.9%
    3–16.4%
    3–22.9%
    3–30.9%
    3–4+0.3%
    4+
    4+–05.2%
    4+–14.8%
    4+–22.2%
    4+–30.7%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-011%
    2. 2.2-011%
    3. 3.1-111%
    4. 4.2-110%
    5. 5.3-07%
    Expected goals
    1,930,92
    Both teams to score
    52%

    Over/under goals

    Expected goals: 2,8
    Under 2,546%
    @2.21EV+1%
    Over 2,554%
    @1.68

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Atalanta to win66%
    • Over 1.5 goals78%

    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

    • Atalanta to win66%
    • Over 2.5 goals54%
    • Mario Pašalić to score53%

    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 score52%
    • Over 2.5 goals54%
    • Mario Pašalić to score53%
    • Pedro Mba Obiang Avomo 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 · Atalanta66% probability@1.55BetsafeEV+2%reference odds
    • 1 · Atalanta66% probability@1.55BetssonEV+2%reference odds
    • 1 · Atalanta66% probability@1.55NordicbetEV+2%reference odds
    Bookmaker1 · AtalantaX2 · Sassuolo
    Betsafe
    EV+ 2%
    1.55
    4.205.90
    Betsson
    EV+ 2%
    1.55
    4.205.95
    Nordicbet
    EV+ 2%
    1.55
    4.205.95

    Odds updated 18 Aug, 19:36

    Odds movement

    10 %
    64 %59 %

    1.551.55

    X0 %
    25 %20 %

    4.204.20

    20 %
    18 %13 %

    5.955.95

    Over 2,5-2 %
    59 %54 %

    1.711.68

    Betsson · 6 recorded price levels · 18/08/2026 → 18/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    6 matches
    Atalanta 4Draw 0Sassuolo 2
    Goals: 105 (⌀ 2,5)

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

    Key facts

    • Atalanta Bergamasca Calcio dominate this fixture historically: 4 wins to 2 in 6 meetings.
    • Atalanta Bergamasca Calcio have scored in 12 consecutive league matches.
    When goals are scored and conceded 2023
    Atalanta (7242)
    Sassuolo (4376)
    Pass networks

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

    Atalanta
    Mario Pašalić: 268 passningar, xT 1.32PašalićIsak Hien: 198 passningar, xT 0.16HienGiorgio Scalvini: 194 passningar, xT 0.5ScalviniÉderson: 175 passningar, xT 0.4ÉdersonTeun Koopmeiners: 171 passningar, xT 1.27KoopmeinersHans Hateboer: 168 passningar, xT 0.62HateboerMarten de Roon: 151 passningar, xT 0.48RoonDavide Zappacosta: 137 passningar, xT 0.39ZappacostaMatteo Ruggeri: 115 passningar, xT 0.74RuggeriBerat Djimsiti: 114 passningar, xT 0.18DjimsitiRafael Tolói: 108 passningar, xT 0.43Tolói
    Sassuolo
    Gianmarco Ferrari: 153 passningar, xT 0.96FerrariJosh Doig: 120 passningar, xT 0.46DoigKristian Thorstvedt: 113 passningar, xT 0.28ThorstvedtPedro Obiang: 104 passningar, xT 0.29ObiangMartin Erlić: 83 passningar, xT 0.18ErlićAndrea Consigli: 83 passningar, xT 0.35ConsigliMatheus Henrique: 82 passningar, xT 0.16HenriqueMarash Kumbulla: 77 passningar, xT 0.31KumbullaMattia Viti: 54 passningar, xT 0.06VitiFilippo Missori: 50 passningar, xT 0.53MissoriJeremy Toljan: 50 passningar, xT 0.3Toljan
    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.

    Atalanta
    Mario Pašalić: 268 passningar, xT 1.32PašalićIsak Hien: 198 passningar, xT 0.16HienGiorgio Scalvini: 194 passningar, xT 0.5ScalviniÉderson: 175 passningar, xT 0.4ÉdersonTeun Koopmeiners: 171 passningar, xT 1.27KoopmeinersHans Hateboer: 168 passningar, xT 0.62HateboerMarten de Roon: 151 passningar, xT 0.48RoonDavide Zappacosta: 137 passningar, xT 0.39ZappacostaMatteo Ruggeri: 115 passningar, xT 0.74RuggeriBerat Djimsiti: 114 passningar, xT 0.18DjimsitiRafael Tolói: 108 passningar, xT 0.43Tolói
    Sassuolo
    Gianmarco Ferrari: 153 passningar, xT 0.96FerrariJosh Doig: 120 passningar, xT 0.46DoigKristian Thorstvedt: 113 passningar, xT 0.28ThorstvedtPedro Obiang: 104 passningar, xT 0.29ObiangMartin Erlić: 83 passningar, xT 0.18ErlićAndrea Consigli: 83 passningar, xT 0.35ConsigliMatheus Henrique: 82 passningar, xT 0.16HenriqueMarash Kumbulla: 77 passningar, xT 0.31KumbullaMattia Viti: 54 passningar, xT 0.06VitiFilippo Missori: 50 passningar, xT 0.53MissoriJeremy Toljan: 50 passningar, xT 0.3Toljan
    The goalkeepersMarco Carnesecchi (Atalanta)Andrea Consigli (Sassuolo)
    Saves83104
    Save %74%61%
    xG prevented55%41%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Atalanta vs Sassuolo according to our model?

    The model gives Atalanta a 66% win probability. Full 1X2 picture: Atalanta 66%, draw 21%, Sassuolo 13%.

    What is the most likely scoreline?

    The model's most likely final score is 1-0 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 54% and under at 46%.

    Will both teams score?

    The probability of both teams scoring is 52% 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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.