Serie AMapei Stadium, Reggio Emilia28°15 km/h

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    SassuoloSassuoloBalanced & physical
    vs
    TorinoTorinoLow block & direct
    The model's lean: 1 · Sassuolo (38%)Best value by the model: No @ 2.10 (+5 %)

    SassuoloTorino · Serie A

    1 · Sassuolo 38%X 31%31% Torino · 2

    Analysis: SassuoloTorino

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

    Sassuolo's recent form is troubling, with the hosts on a four-game losing streak despite the underlying numbers suggesting they shouldn't be. Their expected metrics paint a different picture: xPoints and xG heavily favor them over Torino, indicating a side that creates chances but hasn't converted them into results recently. The balance and physicality of their play style might clash effectively against Torino's low defensive block and direct approach, setting the stage for a tactical battle.

    The model leans towards Sassuolo with a 38% win probability, yet the most likely outcome is a tight 1-1 draw at 13%. With an expected goals tally of 1.34 compared to Torino's 1.11, Sassuolo edges their visitors, albeit marginally. The over/under 2.5 goals market suggests a restrained affair, with the lean towards under and a 50% chance for both teams to score. The numbers hint at a match where defensive solidity could prevail over attacking flair.

    Torino's historical edge in head-to-heads since 2021 is based on just two matches, a sample too small to outweigh current form and expected goals. Their defensive rigidity might frustrate Sassuolo, but the expected goals dominance of the home side within eight seconds of winning the ball (0.39 vs. 0.0) suggests they could exploit quick transitions better.

    From a betting perspective, there's value in taking Torino at odds of 3.4 with Betsson and Nordicbet, or 3.35 with Betsafe. The model rates Torino's chances at 31%, providing a slight edge. While not a guarantee, these odds do offer an enticing prospect given the tight nature of this matchup. A 1-1 draw seems likely, with Sassuolo's xMetrics hinting that they might just edge it if they can break their losing streak.

    SassuoloSassuolo
    Form WLLLL
    League ranking xG #2xGA #6xT #5xP/match #1Points #11
    Key players
    • Ismael KoneFxG 0.12 · xT 0.08
    • Kristian ThorstvedtCAMxG 0.23 · xT 0.09
    • Cristian VolpatoRWxG 0.12 · xT 0.12
    TorinoTorino
    Form LWLDL
    League ranking xG #15xGA #16xT #12xP/match #15Points #10
    Key players
    • Giovanni SimeoneFxG 0.31 · xT 0.01
    • Nikola VlašićCAMxG 0.24 · xT 0.10
    • Valentino LazaroLWBxG 0.03 · xT 0.15

    Match prediction: SassuoloTorino

    Predicted score matrix

    Torino
    Sassuolo
    0
    1
    2
    3
    4+
    0
    0–09.0%
    0–19.2%
    0–25.3%
    0–32.0%
    0–4+0.7%
    1
    1–011.2%
    1–113.2%
    1–27.1%
    1–32.6%
    1–4+0.9%
    2
    2–07.7%
    2–18.6%
    2–24.8%
    2–31.8%
    2–4+0.6%
    3
    3–03.5%
    3–13.8%
    3–22.1%
    3–30.8%
    3–4+0.3%
    4+
    4+–01.6%
    4+–11.7%
    4+–21.0%
    4+–30.4%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-011%
    3. 3.0-19%
    4. 4.0-09%
    5. 5.2-19%
    Expected goals
    1,341,11
    Both teams to score
    50%

    Over/under goals

    Expected goals: 2,4
    Under 2,556%
    @1.83EV+2%
    Over 2,544%
    @2.06

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Sassuolo or draw (1X)69%
    • Under 3.5 goals77%

    Combined probability

    53%

    Fair odds

    1.88

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

    02 · 3 legs

    Balanced

    • Double chance Sassuolo or draw (1X)69%
    • Under 2.5 goals56%
    • M'Bala Nzola to score29%

    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 score50%
    • Over 2.5 goals44%
    • M'Bala Nzola to score29%
    • Kristjan Asllani to be booked19%

    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+).

    • Both teams to score: No50% probability@2.10Betfair ExchangeEV+5%reference odds
    • 2 · Torino31% probability@3.40PinnacleEV+5%reference odds
    • X · Draw31% probability@3.40Betfair ExchangeEV+5%reference odds
    Bookmaker1 · SassuoloX2 · Torino
    Betfair Exchange2.38
    EV+ 5%
    3.40
    2.98
    Betsafe2.22
    EV+ 2%
    3.30
    EV+ 0%
    3.25
    Betsson2.25
    EV+ 2%
    3.30
    EV+ 2%
    3.30
    Nordicbet2.25
    EV+ 2%
    3.30
    EV+ 2%
    3.30
    Pinnacle2.25
    EV+ 3%
    3.34
    EV+ 5%
    3.40

    Odds updated 25 Aug, 10:36

    Statistics

    Head-to-head

    2 matches
    Sassuolo 0Draw 0Torino 2
    Goals: 13 (⌀ 2)

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

    Key facts

    • Sassuolo have lost 4 in a row.
    xG & xGA per match — 3-game rolling average

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

    Sassuolo
    Torino
    When goals are scored and conceded 2026
    Sassuolo (12)
    Torino (12)
    Pass networks

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

    Sassuolo
    Cas Odenthal: 64 passningar, xT 0.05OdenthalNemanja Matić: 43 passningar, xT 0.02MatićTommaso Macchioni: 42 passningar, xT -0.01MacchioniDarryl Bakola: 42 passningar, xT 0.04BakolaJosh Doig: 37 passningar, xT 0.18DoigSimone Cinquegrano: 37 passningar, xT 0.09CinquegranoArmand Lauriente: 33 passningar, xT 0.26LaurienteCristian Volpato: 28 passningar, xT 0.03VolpatoArijanet Anan Murić: 23 passningar, xT 0MurićKristian Thorstvedt: 23 passningar, xT 0.01ThorstvedtFedde Leysen: 18 passningar, xT 0.01Leysen
    Torino
    Ardian Ismajli: 50 passningar, xT 0.02IsmajliKian Franklin Fitz-Jim: 46 passningar, xT 0.16Fitz-JimPietro Comuzzo: 36 passningar, xT 0.06ComuzzoSaúl Coco: 36 passningar, xT 0.05CocoGvidas Gineitis: 27 passningar, xT 0.02GineitisDiego Mascardi: 27 passningar, xT -0.01MascardiAlessio Cacciamani: 16 passningar, xT -0.01CacciamaniMarcus Pedersen: 15 passningar, xT 0.13PedersenNikola Vlašić: 15 passningar, xT -0.01VlašićNiccolò Fortini: 15 passningar, xT 0FortiniCesare Casadei: 11 passningar, xT 0.01Casadei
    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
    Cas Odenthal: 64 passningar, xT 0.05OdenthalNemanja Matić: 43 passningar, xT 0.02MatićTommaso Macchioni: 42 passningar, xT -0.01MacchioniDarryl Bakola: 42 passningar, xT 0.04BakolaJosh Doig: 37 passningar, xT 0.18DoigSimone Cinquegrano: 37 passningar, xT 0.09CinquegranoArmand Lauriente: 33 passningar, xT 0.26LaurienteCristian Volpato: 28 passningar, xT 0.03VolpatoArijanet Anan Murić: 23 passningar, xT 0MurićKristian Thorstvedt: 23 passningar, xT 0.01ThorstvedtFedde Leysen: 18 passningar, xT 0.01Leysen
    Torino
    Ardian Ismajli: 50 passningar, xT 0.02IsmajliKian Franklin Fitz-Jim: 46 passningar, xT 0.16Fitz-JimPietro Comuzzo: 36 passningar, xT 0.06ComuzzoSaúl Coco: 36 passningar, xT 0.05CocoGvidas Gineitis: 27 passningar, xT 0.02GineitisDiego Mascardi: 27 passningar, xT -0.01MascardiAlessio Cacciamani: 16 passningar, xT -0.01CacciamaniMarcus Pedersen: 15 passningar, xT 0.13PedersenNikola Vlašić: 15 passningar, xT -0.01VlašićNiccolò Fortini: 15 passningar, xT 0FortiniCesare Casadei: 11 passningar, xT 0.01Casadei

    The teams in numbers

    PerformanceSassuoloTorino
    Points00
    xPoints2.30.7
    xG per match2.30.7
    xGA per match0.882.7
    xG within 8s of winning the ball0.390
    xGA within 8s of losing the ball0.130.28
    Playing styleSassuoloTorino
    Build-up efficiency0.330.33
    Field tilt0.540.28
    xT per match1.10.54
    xTA per match12.1
    Won balls, offensive half2229
    Pressing intensity0.240.24
    Pressing efficiency0.170.18
    Pressing efficiency, offensive half0.150.2
    Entries into the box per match134
    Entries into the box against919
    Pass completion %0.850.76
    Pass completion % under pressure0.830.68
    Passes per match428331
    Passes against per match550524
    Switches of play per match33.610.4
    Long balls per match2114
    Set piecesSassuoloTorino
    xG from free kicks00.13
    Corners per match4.12.1
    Corners against per match4.14.2
    xG per corner0.080
    xGA per corner against0.010
    First touch, offensive corners %0.750
    First touch, defensive corners %0.750.75
    OtherSassuoloTorino
    Throw-in control0.740.62
    The goalkeepersArijanet Anan Murić (Sassuolo)Ardian Ismajli (Torino)
    Saves52
    Save %71%100%
    xG prevented50%100%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Sassuolo vs Torino according to our model?

    The model gives Sassuolo a 38% win probability. Full 1X2 picture: Sassuolo 38%, draw 31%, Torino 31%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 44% and under at 56%.

    Will both teams score?

    The probability of both teams scoring is 50% 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.