Serie AMapei Stadium, Reggio Emilia22°9 km/h

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    SassuoloSassuoloBalanced & physical
    vs
    JuventusJuventusPossession & high press
    The model's lean: 2 · Juventus (60%)

    Sassuolo vs Juventus · Serie A

    1 · Sassuolo 17%X 22%60% Juventus · 2

    Analysis: SassuoloJuventus

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

    A stark contrast defines this matchup: Sassuolo's balanced and physical approach meets Juventus's possession-heavy, high-press style. The numbers paint a clear picture: the visitors are favored, with a 60% model probability of taking all three points. Yet, Sassuolo's robust physicality and effective offense, boasting an average of 1.9 expected goals per match, suggest they won't be pushovers.

    The head-to-head record between these two sides is small, with just two encounters since 2021. Juventus edged one win and a draw, a slim history that shouldn't overshadow current form and stats. Sassuolo's greater xPoints at 5.7 compared to their actual tally of 4 indicates they've been somewhat unlucky, while Juventus’s xPoints closely mirror their real points, reinforcing their solid form.

    Despite Juventus's impressive defensive metrics, allowing just 0.3 xGA per match, Sassuolo's attacking record could pose a challenge. The model predicts Juventus to score nearly twice, with 1.89 expected goals. Meanwhile, the hosts are anticipated to notch up 0.90, hinting at possible difficulties in breaking down Juventus's back line.

    Goals might be on the menu, with a 53% chance of over 2.5 goals and a 51% likelihood of both sides finding the net. This aligns with the playing styles: the Bianconeri’s high press could leave gaps for Sassuolo’s counter-attacks, while the hosts' physicality may disrupt Juve's rhythm, offering chances on both ends.

    Given the probabilities and expected goals, a 0-2 or 1-1 result feels plausible. As the clear model favorite, Juventus winning without conceding stands out as a solid pick given their formidable defensive stance.

    SassuoloSassuolo
    Form LLLWD
    League ranking xG #4xGA #10xT #15xP/match #4Points #10
    Key players
    • Cristian VolpatoRWxG 0.17 · xT 0.14
    • Armand LaurienteLWxG 0.45 · xT 0.25
    • Darryl BakolaCMxG 0.05 · xT 0.18
    JuventusJuventus
    Form LDWWD
    League ranking xG #5xGA #1xT #3xP/match #2Points #6
    Key players
    • Pierre KaluluRWBxG 0.04 · xT 0.18
    • Douglas LuizFxG 0.26 · xT 0.06
    • Gleison BremerCBxG 0.12 · xT 0.15

    Match prediction: SassuoloJuventus

    Predicted score matrix

    Juventus
    Sassuolo
    0
    1
    2
    3
    4+
    0
    0–06.4%
    0–111.3%
    0–211.0%
    0–36.9%
    0–4+5.0%
    1
    1–05.2%
    1–110.8%
    1–29.9%
    1–36.2%
    1–4+4.5%
    2
    2–02.5%
    2–14.7%
    2–24.5%
    2–32.8%
    2–4+2.0%
    3
    3–00.7%
    3–11.4%
    3–21.3%
    3–30.8%
    3–4+0.6%
    4+
    4+–00.2%
    4+–10.4%
    4+–20.4%
    4+–30.2%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.0-111%
    2. 2.0-211%
    3. 3.1-111%
    4. 4.1-210%
    5. 5.0-37%
    Expected goals
    0,901,89
    Both teams to score
    51%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    @2.05
    Over 2,553%
    @1.83

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Juventus to win60%
    • Over 1.5 goals77%

    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

    • Juventus to win60%
    • Over 2.5 goals53%
    • Jonathan Christian David 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 goals53%
    • Jonathan Christian David to score28%
    • Luca Lipani to be booked21%

    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 · Juventus60% probability@1.68BetsafeEV+1%reference odds
    • 2 · Juventus60% probability@1.68BetssonEV+1%reference odds
    • 2 · Juventus60% probability@1.68NordicbetEV+1%reference odds
    Bookmaker1 · SassuoloX2 · Juventus
    Betsafe4.903.85
    EV+ 1%
    1.68
    Betsson4.953.90
    EV+ 1%
    1.68
    Nordicbet4.953.90
    EV+ 1%
    1.68
    Pinnacle5.264.111.65

    Odds updated 11 Sept, 19:40

    Odds movement

    1-4 %
    21 %16 %

    5.485.26

    X+2 %
    26 %21 %

    4.024.11

    2+4 %
    61 %56 %

    1.591.65

    Over 2,5-4 %
    55 %50 %

    1.881.81

    Pinnacle · 9 recorded price levels · 05/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Sassuolo 0Draw 1Juventus 1
    Goals: 14 (⌀ 2,5)

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

    xG & xGA per match — 3-game rolling average

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

    Sassuolo
    Juventus
    When goals are scored and conceded 2026
    Sassuolo (55)
    Juventus (41)
    Pass networks

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

    Sassuolo
    Nemanja Matić: 122 passningar, xT 0.19MatićSimone Cinquegrano: 116 passningar, xT 0.18CinquegranoDarryl Bakola: 91 passningar, xT 0.24BakolaArmand Lauriente: 82 passningar, xT 0.54LaurienteJosh Doig: 80 passningar, xT 0.24DoigFedde Leysen: 80 passningar, xT 0.08LeysenArijanet Anan Murić: 64 passningar, xT 0.05MurićCas Odenthal: 64 passningar, xT 0.05OdenthalCristian Volpato: 60 passningar, xT 0.18VolpatoKristian Thorstvedt: 60 passningar, xT 0.11ThorstvedtJay Idzes: 54 passningar, xT 0.04Idzes
    Juventus
    Manuel Locatelli: 192 passningar, xT 0.76LocatelliDouglas Luiz: 147 passningar, xT 0.09LuizPierre Kalulu: 141 passningar, xT 0.42KaluluZeki Celik: 117 passningar, xT 0.35CelikGleison Bremer: 117 passningar, xT 0.44BremerJhon Lucumi: 106 passningar, xT 0.14LucumiFrancisco Conceicao: 88 passningar, xT 0.64ConceicaoLloyd Kelly: 60 passningar, xT 0.08KellyGuglielmo Vicario: 56 passningar, xT 0.02VicarioRandal Kolo Muani: 42 passningar, xT -0.01MuaniWeston Mckennie: 39 passningar, xT 0.04Mckennie
    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.

    Sassuolo
    Nemanja Matić: 122 passningar, xT 0.19MatićSimone Cinquegrano: 116 passningar, xT 0.18CinquegranoDarryl Bakola: 91 passningar, xT 0.24BakolaArmand Lauriente: 82 passningar, xT 0.54LaurienteJosh Doig: 80 passningar, xT 0.24DoigFedde Leysen: 80 passningar, xT 0.08LeysenArijanet Anan Murić: 64 passningar, xT 0.05MurićCas Odenthal: 64 passningar, xT 0.05OdenthalCristian Volpato: 60 passningar, xT 0.18VolpatoKristian Thorstvedt: 60 passningar, xT 0.11ThorstvedtJay Idzes: 54 passningar, xT 0.04Idzes
    Juventus
    Manuel Locatelli: 192 passningar, xT 0.76LocatelliDouglas Luiz: 147 passningar, xT 0.09LuizPierre Kalulu: 141 passningar, xT 0.42KaluluZeki Celik: 117 passningar, xT 0.35CelikGleison Bremer: 117 passningar, xT 0.44BremerJhon Lucumi: 106 passningar, xT 0.14LucumiFrancisco Conceicao: 88 passningar, xT 0.64ConceicaoLloyd Kelly: 60 passningar, xT 0.08KellyGuglielmo Vicario: 56 passningar, xT 0.02VicarioRandal Kolo Muani: 42 passningar, xT -0.01MuaniWeston Mckennie: 39 passningar, xT 0.04Mckennie

    The teams in numbers

    PerformanceSassuoloJuventus
    Points47
    xPoints5.76.4
    xG per match1.91.7
    xGA per match1.40.3
    xG within 8s of winning the ball0.330.61
    xGA within 8s of losing the ball0.220.09
    Playing styleSassuoloJuventus
    Build-up efficiency0.330.32
    Field tilt0.520.71
    xT per match0.811.5
    xTA per match1.10.32
    Won balls, offensive half2531
    Pressing intensity0.230.23
    Pressing efficiency0.190.28
    Pressing efficiency, offensive half0.170.25
    Entries into the box per match1515
    Entries into the box against146
    Pass completion %0.810.81
    Pass completion % under pressure0.790.76
    Passes per match376425
    Passes against per match513310
    Switches of play per match24.528.9
    Long balls per match3029
    Set piecesSassuoloJuventus
    xG from free kicks0.070
    Corners per match59.5
    Corners against per match5.72
    xG per corner0.030.04
    xGA per corner against0.010.01
    First touch, offensive corners %0.60.66
    First touch, defensive corners %0.650.67
    OtherSassuoloJuventus
    Throw-in control0.720.68
    The goalkeepersArijanet Anan Murić (Sassuolo)Guglielmo Vicario (Juventus)
    Saves115
    Save %69%83%
    xG prevented44%89%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Sassuolo vs Juventus according to our model?

    The model gives Juventus a 60% win probability. Full 1X2 picture: Sassuolo 17%, draw 22%, Juventus 60%.

    What is the most likely scoreline?

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

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 53% and under at 47%.

    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.