Serie BStadio Marcantonio Bentegodi, Verona11°12 km/h

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    Hellas VeronaHellas VeronaPossession & high press
    vs
    PisaPisaBalanced & physical
    The model's lean: 1 · Hellas Verona (47%)

    Hellas Verona vs Pisa · Serie B

    1 · Hellas Verona 47%X 26%27% Pisa · 2

    Prediction summary

    BetBuilders AI model prediction for Hellas Verona vs Pisa (Serie B, Sunday, 25 October 2026): Hellas Verona win 47%, draw 26%, Pisa win 27%. Expected goals (xG): Hellas Verona 1.48, Pisa 1.21. Most likely score: 1-1 (13%). Over 2.5 goals 50%, both teams to score 55%. Double chance: Hellas Verona or draw 73%, Pisa or draw 53%. Prediction updated Friday, 16 October 2026.

    Bet on this match

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    Analysis: Hellas Verona – Pisa

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

    The key number here is the 47% probability assigned to a home win. Despite Verona trailing Pisa in points, the model leans towards the hosts, highlighting their possession-heavy style and high pressing as factors that could tip the scales in their favor. Their xG per match at 2.1 indicates a stronger attacking potential compared to Pisa's 1.8, which aligns with their more aggressive approach.

    However, Pisa's advantage in actual points and a slightly superior xGA figure of 0.93 suggests a resilient defense, capable of absorbing Verona's pressure. The visitors' balanced and physical play might disrupt Verona's rhythm, hinting at a tightly contested affair. The most likely scorelines, 1-1 and 1-0, reflect this tension, emphasizing a narrow margin for error.

    With an over 2.5 goals probability at 50% and both teams to score at 55%, the goal market leans finely balanced. For value hunters, the edge lies in backing Verona at odds of 2.25 with LeoVegas, offering a 6% edge per the model. This bet capitalizes on the model's slight preference for the home side, where the numbers suggest a 1-0 or 2-1 victory might just be in reach for Verona.

    Hellas VeronaHellas Verona
    Form WLWLD
    League ranking xG #1xGA #4xT #1xP/match #2Points #12
    Key players
    • Daniel MosqueraFxG 1.31 · xT 0.10
    • Davide De BattistiLBxG 0.06 · xT 0.22
    • Gabriele ZappaRBxG 0.20 · xT 0.20
    PisaPisa
    Form WLDWW
    League ranking xG #3xGA #1xT #5xP/match #1Points #3
    Key players
    • Stefano MoreoFxG 0.42 · xT 0.14
    • Mattéo TramoniLWxG 0.23 · xT 0.41
    • Samuele AngoriLWBxG 0.04 · xT 0.15

    Match prediction: Hellas Verona – Pisa

    Predicted score matrix

    Pisa →
    Hellas Verona →
    0
    1
    2
    3
    4+
    0
    0–07.2%
    0–17.9%
    0–25.0%
    0–32.0%
    0–4+0.8%
    1
    1–09.7%
    1–112.5%
    1–27.4%
    1–33.0%
    1–4+1.2%
    2
    2–07.4%
    2–19.0%
    2–25.4%
    2–32.2%
    2–4+0.9%
    3
    3–03.7%
    3–14.4%
    3–22.7%
    3–31.1%
    3–4+0.4%
    4+
    4+–01.9%
    4+–12.3%
    4+–21.4%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-010%
    3. 3.2-19%
    4. 4.0-18%
    5. 5.2-07%
    Expected goals
    1,48–1,21
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    @1.92
    Over 2,550%
    @1.80

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Hellas Verona to win47%
    • Under 3.5 goals72%

    Combined probability

    30%

    Fair odds

    3.36

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

    02 · 3 legs

    Balanced

    • Hellas Verona to win47%
    • Over 2.5 goals50%
    • Samuele Mulattieri to score26%

    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 score55%
    • Over 2.5 goals50%
    • Samuele Mulattieri to score26%
    • Arturo Calabresi 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+).

    • 1 · Hellas Verona47% probability@2.20BetsafeEV+4%reference odds
    • 1 · Hellas Verona47% probability@2.20NordicbetEV+4%reference odds
    • 1 · Hellas Verona47% probability@2.18LeoVegasEV+3%reference odds
    Bookmaker1 · Hellas VeronaX2 · Pisa
    Betsafe
    EV+ 4%
    2.20
    3.303.00
    LeoVegas
    EV+ 3%
    2.18
    3.353.00
    Nordicbet
    EV+ 4%
    2.20
    3.303.00

    Odds updated 22 Oct, 06:37

    Odds movement

    1-5 %
    44 %39 %

    2.30 → 2.18

    X+6 %
    30 %25 %

    3.15 → 3.35

    2+3 %
    33 %28 %

    2.90 → 3.00

    LeoVegas · 19 recorded price levels · 18/10/2026 → 22/10/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Hellas Verona
    Pisa
    When goals are scored and conceded — 2026
    Hellas Verona (14–12)
    Pisa (14–9)
    Pass networks

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

    Hellas Verona
    Gabriele Zappa: 261 passningar, xT 0.98ZappaAndrias Edmundsson: 225 passningar, xT 0.4EdmundssonEdoardo Iannoni: 209 passningar, xT 0.83IannoniAndréa Paul Leborgne: 188 passningar, xT 0.68LeborgneAntoine Bernede: 161 passningar, xT 0.47BernedeSeid Korač: 126 passningar, xT 0.15KoračPawel Dawidowicz: 114 passningar, xT 0.09DawidowiczDomagoj Bradarić: 114 passningar, xT 0.76BradarićDavide De Battisti: 95 passningar, xT 0.49BattistiAmin Sarr: 83 passningar, xT 0.03SarrGrigoris Kastanos: 70 passningar, xT 0.11Kastanos
    Pisa
    Samuele Angori: 234 passningar, xT 0.59AngoriOmar Correia: 190 passningar, xT 0.12CorreiaGiuseppe Leone: 170 passningar, xT -0.07LeoneArturo Calabresi: 130 passningar, xT -0.07CalabresiAndrea Primasso: 130 passningar, xT 0.09PrimassoAlessandro Confente: 121 passningar, xT 0.06ConfenteMattéo Tramoni: 104 passningar, xT 1.33TramoniMehdi Leris: 97 passningar, xT 0.68LerisSimone Canestrelli: 87 passningar, xT 0.03CanestrelliFrancesco Coppola: 79 passningar, xT 0.06CoppolaSimone Zanon: 65 passningar, xT 0.37Zanon
    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.

    Hellas Verona
    Gabriele Zappa: 261 passningar, xT 0.98ZappaAndrias Edmundsson: 225 passningar, xT 0.4EdmundssonEdoardo Iannoni: 209 passningar, xT 0.83IannoniAndréa Paul Leborgne: 188 passningar, xT 0.68LeborgneAntoine Bernede: 161 passningar, xT 0.47BernedeSeid Korač: 126 passningar, xT 0.15KoračPawel Dawidowicz: 114 passningar, xT 0.09DawidowiczDomagoj Bradarić: 114 passningar, xT 0.76BradarićDavide De Battisti: 95 passningar, xT 0.49BattistiAmin Sarr: 83 passningar, xT 0.03SarrGrigoris Kastanos: 70 passningar, xT 0.11Kastanos
    Pisa
    Samuele Angori: 234 passningar, xT 0.59AngoriOmar Correia: 190 passningar, xT 0.12CorreiaGiuseppe Leone: 170 passningar, xT -0.07LeoneArturo Calabresi: 130 passningar, xT -0.07CalabresiAndrea Primasso: 130 passningar, xT 0.09PrimassoAlessandro Confente: 121 passningar, xT 0.06ConfenteMattéo Tramoni: 104 passningar, xT 1.33TramoniMehdi Leris: 97 passningar, xT 0.68LerisSimone Canestrelli: 87 passningar, xT 0.03CanestrelliFrancesco Coppola: 79 passningar, xT 0.06CoppolaSimone Zanon: 65 passningar, xT 0.37Zanon

    The teams in numbers

    PerformanceHellas VeronaPisa
    Points813
    xPoints12.713.8
    xG per match2.11.8
    xGA per match10.93
    xG within 8s of winning the ball0.350.26
    xGA within 8s of losing the ball0.280.3
    Playing styleHellas VeronaPisa
    Build-up efficiency0.330.3
    Field tilt0.670.52
    xT per match1.51.1
    xTA per match0.780.97
    Won balls, offensive half2726
    Pressing intensity0.240.24
    Pressing efficiency0.290.29
    Pressing efficiency, offensive half0.240.25
    Entries into the box per match1513
    Entries into the box against914
    Pass completion %0.790.77
    Pass completion % under pressure0.750.72
    Passes per match409357
    Passes against per match315384
    Switches of play per match29.820.6
    Long balls per match3122
    Set piecesHellas VeronaPisa
    xG from free kicks0.010.02
    Corners per match6.56.5
    Corners against per match2.55.3
    xG per corner0.030.04
    xGA per corner against0.050.01
    First touch, offensive corners %0.440.47
    First touch, defensive corners %0.470.54
    OtherHellas VeronaPisa
    Throw-in control0.80.67
    The goalkeepersNicola Leali (Hellas Verona)Alessandro Confente (Pisa)
    Saves1015
    Save %63%63%
    xG prevented58%51%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Hellas Verona vs Pisa according to our model?

    The model gives Hellas Verona a 47% win probability. Full 1X2 picture: Hellas Verona 47%, draw 26%, Pisa 27%.

    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 50% and under at 50%.

    Will both teams score?

    The probability of both teams scoring is 55% according to the model.

    How many goals are expected in Hellas Verona vs Pisa?

    The model expects 1.48 goals (xG) for Hellas Verona and 1.21 for Pisa, 2.69 in total.

    What does the model say about double chance?

    Hellas Verona or draw (1X) 73%, Pisa or draw (X2) 53% and no draw (12) 74%.

    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.