Serie BStadio Romeo Menti, Vicenza18°10 km/h

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    VicenzaVicenzaCounter-attacks & crosses
    vs
    PisaPisaBalanced & physical
    The model's lean: 2 · Pisa (45%)

    Vicenza vs Pisa · Serie B

    1 · Vicenza 30%X 25%45% Pisa · 2

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    Analysis: Vicenza – Pisa

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

    The clash between Vicenza and Pisa hints at a tactical battle dictated by contrasting styles. The hosts lean heavily on counter-attacks and crosses, which suggests they might sit deeper and pounce on turnovers. Pisa, with their balanced and physical approach, will look to impose themselves, controlling possession and dictating the tempo. This sets up a fascinating dynamic: can Vicenza's reactive strategy disrupt Pisa's rhythm, or will Pisa's well-rounded game plan break through Vicenza's defenses?

    Pisa's edge is evident in both tangible points and underlying metrics. They've secured 7 points to Vicenza's 5, but the expected points tell a more decisive story: 9.7 for the visitors against Vicenza's 6.3. Their superior xG per match of 1.8 compared to the home side's 1.2 underscores Pisa's attacking prowess. Defensively, Pisa also stands firm, conceding just 1.0 xGA per match against Vicenza's 1.3. These numbers reinforce Pisa's position as the more robust unit on both sides of the ball.

    While the head-to-head sample might not be extensive, the model clearly favors Pisa, assigning them a 45% chance of victory compared to Vicenza's 30%. The most likely scorelines further illustrate this with a 1-2 result the second most probable outcome. The expected goals tally leans towards Pisa with 1.76 compared to Vicenza's 1.34, suggesting the visitors are likely to create more and better chances.

    For bettors, the sharpest angle might be found at LeoVegas, where Pisa's victory is priced at 2.45. Given the model's rating of their chances at 45%, there's a notable 10% edge here. Additionally, the over 2.5 goals market provides a smaller value play at odds of 1.7, aligned with the model's 60% estimation for goals aplenty. This match, shaped by styles and stats, might best be approached with a nod to Pisa's superiority and the potential for a goal-rich encounter.

    VicenzaVicenza
    Form WLDDL
    League ranking xG #7xGA #14xT #6xP/match #14Points #16
    Key players
    • Gabriele MonciniFxG 0.49 · xT 0.05
    • Silvio MerkajFxG 0.25 · xT 0.11
    • Tommaso CorazzaLWxG 0.16 · xT 0.24
    PisaPisa
    Form LWWLD
    League ranking xG #2xGA #5xT #4xP/match #1Points #7
    Key players
    • Mattéo TramoniLWxG 0.23 · xT 0.39
    • Francesco CoppolaCBxG 0.26 · xT 0.04
    • Samuele AngoriLWBxG 0.05 · xT 0.17

    Match prediction: Vicenza – Pisa

    Predicted score matrix

    Pisa →
    Vicenza →
    0
    1
    2
    3
    4+
    0
    0–04.8%
    0–17.6%
    0–27.0%
    0–34.1%
    0–4+2.7%
    1
    1–05.7%
    1–110.9%
    1–29.3%
    1–35.5%
    1–4+3.6%
    2
    2–04.0%
    2–17.1%
    2–26.3%
    2–33.7%
    2–4+2.4%
    3
    3–01.8%
    3–13.2%
    3–22.8%
    3–31.6%
    3–4+1.1%
    4+
    4+–00.8%
    4+–11.4%
    4+–21.3%
    4+–30.7%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-29%
    3. 3.0-18%
    4. 4.2-17%
    5. 5.0-27%
    Expected goals
    1,34–1,76
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,1
    Under 2,540%
    @1.95
    Over 2,560%
    @1.75EV+5%

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Double chance Pisa or draw (X2)71%
    • Over 1.5 goals82%

    Combined probability

    59%

    Fair odds

    1.71

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

    02 · 3 legs

    Balanced

    • Double chance Pisa or draw (X2)71%
    • Over 2.5 goals60%
    • Andrea Petagna to score25%

    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 score61%
    • Over 2.5 goals60%
    • Andrea Petagna to score25%
    • Marco Carraro 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+).

    • 2 · Pisa45% probability@2.52BetsafeEV+13%reference odds
    • 2 · Pisa45% probability@2.52NordicbetEV+13%reference odds
    • 2 · Pisa45% probability@2.45LeoVegasEV+10%reference odds
    Bookmaker1 · VicenzaX2 · Pisa
    Betsafe2.553.25
    EV+ 13%
    2.52
    LeoVegas2.553.30
    EV+ 10%
    2.45
    Nordicbet2.553.25
    EV+ 13%
    2.52

    Odds updated 2 Oct, 07:36

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Vicenza
    Pisa
    When goals are scored and conceded — 2026
    Vicenza (7–10)
    Pisa (8–8)
    Pass networks

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

    Vicenza
    Giuseppe Cuomo: 170 passningar, xT 0.37CuomoRiccardo Marchizza: 143 passningar, xT 0.19MarchizzaLorenzo Caferri: 128 passningar, xT 0.71CaferriRiccardo Gagno: 122 passningar, xT 0.24GagnoLoris Zonta: 115 passningar, xT 0.11ZontaMarco Carraro: 115 passningar, xT -0.02CarraroNicolo Brighenti: 102 passningar, xT 0.23BrighentiFilippo Costa: 97 passningar, xT 0.59CostaMaxime Jean Roberto Leverbe: 78 passningar, xT 0.64LeverbeThomas Sandon: 77 passningar, xT 0.21SandonMattia Valoti: 72 passningar, xT 0.14Valoti
    Pisa
    Giuseppe Leone: 193 passningar, xT 0.22LeoneSimone Canestrelli: 155 passningar, xT 0.08CanestrelliSamuele Angori: 148 passningar, xT 0.6AngoriOmar Correia: 146 passningar, xT 0.05CorreiaAlessandro Confente: 121 passningar, xT 0.1ConfenteArturo Calabresi: 111 passningar, xT 0.08CalabresiMehdi Leris: 101 passningar, xT 0.54LerisSimone Zanon: 98 passningar, xT 1.05ZanonMattéo Tramoni: 89 passningar, xT 1.32TramoniAntonio Caracciolo: 81 passningar, xT 0.01CaraccioloRosen Petkov Bozhinov: 81 passningar, xT 0.09Bozhinov
    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.

    Vicenza
    Giuseppe Cuomo: 170 passningar, xT 0.37CuomoRiccardo Marchizza: 143 passningar, xT 0.19MarchizzaLorenzo Caferri: 128 passningar, xT 0.71CaferriRiccardo Gagno: 122 passningar, xT 0.24GagnoLoris Zonta: 115 passningar, xT 0.11ZontaMarco Carraro: 115 passningar, xT -0.02CarraroNicolo Brighenti: 102 passningar, xT 0.23BrighentiFilippo Costa: 97 passningar, xT 0.59CostaMaxime Jean Roberto Leverbe: 78 passningar, xT 0.64LeverbeThomas Sandon: 77 passningar, xT 0.21SandonMattia Valoti: 72 passningar, xT 0.14Valoti
    Pisa
    Giuseppe Leone: 193 passningar, xT 0.22LeoneSimone Canestrelli: 155 passningar, xT 0.08CanestrelliSamuele Angori: 148 passningar, xT 0.6AngoriOmar Correia: 146 passningar, xT 0.05CorreiaAlessandro Confente: 121 passningar, xT 0.1ConfenteArturo Calabresi: 111 passningar, xT 0.08CalabresiMehdi Leris: 101 passningar, xT 0.54LerisSimone Zanon: 98 passningar, xT 1.05ZanonMattéo Tramoni: 89 passningar, xT 1.32TramoniAntonio Caracciolo: 81 passningar, xT 0.01CaraccioloRosen Petkov Bozhinov: 81 passningar, xT 0.09Bozhinov

    The teams in numbers

    PerformanceVicenzaPisa
    Points57
    xPoints6.39.7
    xG per match1.21.8
    xGA per match1.31
    xG within 8s of winning the ball0.320.21
    xGA within 8s of losing the ball0.150.32
    Playing styleVicenzaPisa
    Build-up efficiency0.310.3
    Field tilt0.480.52
    xT per match11.1
    xTA per match0.840.96
    Won balls, offensive half2729
    Pressing intensity0.220.23
    Pressing efficiency0.220.27
    Pressing efficiency, offensive half0.190.23
    Entries into the box per match1113
    Entries into the box against914
    Pass completion %0.750.75
    Pass completion % under pressure0.730.7
    Passes per match310341
    Passes against per match357412
    Switches of play per match26.818.7
    Long balls per match3520
    Set piecesVicenzaPisa
    xG from free kicks0.030.03
    Corners per match6.85
    Corners against per match45
    xG per corner0.030.05
    xGA per corner against0.050.02
    First touch, offensive corners %0.290.44
    First touch, defensive corners %0.60.48
    OtherVicenzaPisa
    Throw-in control0.630.64
    The goalkeepersRiccardo Gagno (Vicenza)Alessandro Confente (Pisa)
    Saves2211
    Save %69%58%
    xG prevented38%38%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Vicenza vs Pisa according to our model?

    The model gives Pisa a 45% win probability. Full 1X2 picture: Vicenza 30%, draw 25%, Pisa 45%.

    What is the most likely scoreline?

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

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 60% and under at 40%.

    Will both teams score?

    The probability of both teams scoring is 61% 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.