Serie AAllianz Stadium, Torino24°7 km/h

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    JuventusJuventusPossession & high press
    vs
    ParmaParmaBalanced & physical
    The model's lean: 1 · Juventus (77%)Best value by the model: 2 · Parma @ 16.00 (+40 %)

    JuventusParma · Serie A

    1 · Juventus 77%X 15%9% Parma · 2

    Analysis: JuventusParma

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

    TEXT: A Juventus victory over Parma seems almost inevitable, considering the weight of statistical evidence. With model probabilities heavily favoring the hosts at 77%, and most likely scorelines of 2-0 or 1-0, the home side's dominance is tangible. Juventus's possession-heavy and high-press style aligns well with their ability to control matches, especially against a Parma side characterized by a more balanced and physical approach. The expected goals (xG) figures underline this imbalance: 2.26 for Juventus versus a mere 0.70 for the visitors.

    Historically, Juventus's home strength is undeniable, winning 55% of their home matches all-time (38 played). Against Parma, the head-to-head since 2021 reveals a slight edge for the hosts with 2 wins, a draw, and a loss. However, with just four matches in this sample, it's their current form and xG figures that cast the more compelling narrative. Juventus clearly outshine Parma in expected points, xG, and expected goals against (xGA), showcasing their superior quality on both ends of the pitch.

    Despite Parma's physicality, which can sometimes disrupt more technically inclined teams, they lack the offensive firepower to threaten consistently. Their xG per match of 0.85 pales in comparison to Juventus's 1.8, suggesting that the visitors will struggle to find the net. While the model indicates a 57% chance of over 2.5 goals, Juventus's strong defensive metrics—0.48 xGA per game—suggest that the visitors might not contribute to this tally.

    For those seeking a betting edge, the most striking opportunity lies with Parma. Despite their slim 9% chance of victory, the odds of 18.5 offered by Betsson and Nordicbet, as well as 18.0 by Betsafe, present a significant value proposition with over a 58% edge. While unlikely, the potential payoff is substantial.

    JuventusJuventus
    Form DWLDW
    League ranking xG #5xGA #1xT #2xP/match #3Points #6
    Key players
    • Pierre KaluluRWBxG 0.10 · xT 0.12
    • Gleison BremerCBxG 0.22 · xT 0.22
    • Manuel LocatelliCMxG 0.00 · xT 0.10
    ParmaParma
    Form LLLWL
    League ranking xG #12xGA #8xT #11xP/match #9Points #13
    Key players
    • Emanuele ValeriLWBxG 0.05 · xT 0.02
    • Christian OrdonezCMxG 0.12 · xT 0.04
    • Abdoulaye NdiayeCBxG 0.24 · xT 0.01

    Match prediction: JuventusParma

    Predicted score matrix

    Parma
    Juventus
    0
    1
    2
    3
    4+
    0
    0–05.4%
    0–13.4%
    0–21.3%
    0–30.3%
    0–4+0.1%
    1
    1–011.5%
    1–18.4%
    1–22.9%
    1–30.7%
    1–4+0.1%
    2
    2–013.2%
    2–19.3%
    2–23.2%
    2–30.8%
    2–4+0.2%
    3
    3–010.0%
    3–17.0%
    3–22.4%
    3–30.6%
    3–4+0.1%
    4+
    4+–09.6%
    4+–16.7%
    4+–22.3%
    4+–30.5%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-013%
    2. 2.1-011%
    3. 3.3-010%
    4. 4.2-19%
    5. 5.1-18%
    Expected goals
    2,260,70
    Both teams to score
    45%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    @2.25
    Over 2,557%
    @1.67

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Juventus to win77%
    • Over 1.5 goals80%

    Combined probability

    61%

    Fair odds

    1.64

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

    02 · 3 legs

    Balanced

    • Juventus to win77%
    • Over 2.5 goals57%
    • Jonathan Christian David to score41%

    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 score45%
    • Over 2.5 goals57%
    • Jonathan Christian David to score41%
    • Hans Nicolussi Caviglia 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+).

    • 2 · Parma9% probability@16.00BetsafeEV+40%reference odds
    • 2 · Parma9% probability@16.00BetssonEV+40%reference odds
    • 2 · Parma9% probability@16.00NordicbetEV+40%reference odds
    Bookmaker1 · JuventusX2 · Parma
    Betfair Exchange
    EV+ 3%
    1.34
    5.708.40
    Betsafe1.225.65
    EV+ 40%
    16.00
    Betsson1.235.70
    EV+ 40%
    16.00
    Nordicbet1.235.70
    EV+ 40%
    16.00
    Paddy Power1.305.508.00
    Pinnacle1.216.77
    EV+ 21%
    13.85

    Odds updated 25 Aug, 06:36

    Odds movement

    1+2 %
    82 %77 %

    1.191.21

    X+5 %
    16 %11 %

    6.456.77

    2+11 %
    9 %4 %

    12.5013.85

    Over 2,5+3 %
    60 %55 %

    1.631.67

    Pinnacle · 4 recorded price levels · 23/08/2026 → 25/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Juventus 2Draw 1Parma 1
    Goals: 84 (⌀ 3)

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

    Key facts

    • Juventus win 55% of their home matches all-time (38 played).
    xG & xGA per match — 3-game rolling average

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

    Juventus
    Parma
    When goals are scored and conceded 2026
    Juventus (10)
    Parma (01)
    Pass networks

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

    Juventus
    Lloyd Kelly: 53 passningar, xT 0.07KellyManuel Locatelli: 50 passningar, xT 0.11LocatelliDouglas Luiz: 41 passningar, xT 0.11LuizZeki Celik: 39 passningar, xT 0.17CelikWeston Mckennie: 39 passningar, xT 0.04MckennieGleison Bremer: 31 passningar, xT 0.23BremerPierre Kalulu: 30 passningar, xT 0.04KaluluFrancisco Conceicao: 28 passningar, xT 0.57ConceicaoGuglielmo Vicario: 25 passningar, xT 0VicarioKenan Yıldız: 17 passningar, xT 0.18YıldızAndrea Cambiaso: 15 passningar, xT 0.01Cambiaso
    Parma
    Mariano Troilo: 69 passningar, xT 0.17TroiloAbdoulaye Ndiaye: 54 passningar, xT 0.03NdiayeEnrico Delprato: 39 passningar, xT 0.03DelpratoChristian Ordonez: 39 passningar, xT 0.03OrdonezEdoardo Corvi: 38 passningar, xT 0.01CorviAdrian Bernabe: 30 passningar, xT 0.11BernabeAbdou-Salam Konaté: 28 passningar, xT -0.01KonatéEmanuele Valeri: 25 passningar, xT 0.02ValeriMandela Keita: 19 passningar, xT 0.12KeitaSimone Lontani: 17 passningar, xT -0.01LontaniEl Bilal Touré: 8 passningar, xT -0.08Touré
    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.

    Juventus
    Lloyd Kelly: 53 passningar, xT 0.07KellyManuel Locatelli: 50 passningar, xT 0.11LocatelliDouglas Luiz: 41 passningar, xT 0.11LuizZeki Celik: 39 passningar, xT 0.17CelikWeston Mckennie: 39 passningar, xT 0.04MckennieGleison Bremer: 31 passningar, xT 0.23BremerPierre Kalulu: 30 passningar, xT 0.04KaluluFrancisco Conceicao: 28 passningar, xT 0.57ConceicaoGuglielmo Vicario: 25 passningar, xT 0VicarioKenan Yıldız: 17 passningar, xT 0.18YıldızAndrea Cambiaso: 15 passningar, xT 0.01Cambiaso
    Parma
    Mariano Troilo: 69 passningar, xT 0.17TroiloAbdoulaye Ndiaye: 54 passningar, xT 0.03NdiayeEnrico Delprato: 39 passningar, xT 0.03DelpratoChristian Ordonez: 39 passningar, xT 0.03OrdonezEdoardo Corvi: 38 passningar, xT 0.01CorviAdrian Bernabe: 30 passningar, xT 0.11BernabeAbdou-Salam Konaté: 28 passningar, xT -0.01KonatéEmanuele Valeri: 25 passningar, xT 0.02ValeriMandela Keita: 19 passningar, xT 0.12KeitaSimone Lontani: 17 passningar, xT -0.01LontaniEl Bilal Touré: 8 passningar, xT -0.08Touré

    The teams in numbers

    PerformanceJuventusParma
    Points30
    xPoints1.81.2
    xG per match1.80.85
    xGA per match0.481.2
    xG within 8s of winning the ball0.550.16
    xGA within 8s of losing the ball0.130.03
    Playing styleJuventusParma
    Build-up efficiency0.320.32
    Field tilt0.740.3
    xT per match1.80.72
    xTA per match0.391.1
    Won balls, offensive half1430
    Pressing intensity0.220.21
    Pressing efficiency0.480.19
    Pressing efficiency, offensive half0.390.19
    Entries into the box per match1714
    Entries into the box against611
    Pass completion %0.790.78
    Pass completion % under pressure0.740.71
    Passes per match388370
    Passes against per match183437
    Switches of play per match20.932.2
    Long balls per match3023
    Set piecesJuventusParma
    xG from free kicks00.17
    Corners per match11.42.9
    Corners against per match2.81.9
    xG per corner0.060.1
    xGA per corner against0.010.09
    First touch, offensive corners %0.750.33
    First touch, defensive corners %0.330.5
    OtherJuventusParma
    Throw-in control0.670.7
    The goalkeepersGuglielmo Vicario (Juventus)Edoardo Corvi (Parma)
    Saves24
    Save %100%80%
    xG prevented100%92%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Juventus vs Parma according to our model?

    The model gives Juventus a 77% win probability. Full 1X2 picture: Juventus 77%, draw 15%, Parma 9%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 45% 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.