Serie BStadio Euganeo, Padova

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    PadovaPadovaBalanced & physical
    vs
    Hellas VeronaHellas VeronaPossession control
    The model's lean: 2 · Hellas Verona (40%)Best value by the model: Over 2,5 @ 2.30 (+5 %)

    PadovaHellas Verona · Serie B

    1 · Padova 30%X 30%40% Hellas Verona · 2

    Analysis: PadovaHellas Verona

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

    Calcio Padova’s current three-game winning streak presents an intriguing backdrop as they prepare to host Hellas Verona. Despite their recent form, the underlying numbers give a more nuanced picture of the matchup. While Padova have shown the ability to scrape wins, their expected goals (xG) and expected goals against (xGA) suggest a reliance on physical play rather than sustained attacking prowess. With an xG per match sitting at a meager 0.63 and an alarming xGA of 2.0, the hosts have been punching above their statistical weight.

    Contrastingly, Verona's approach centered around possession control has yet to translate into points. However, their underlying metrics paint a much rosier picture. With an xG of 3.4 per match, Verona have been creating enough quality chances that, in theory, should edge out Padova's defensive setup. Their xGA of 1.1 further underscores a defensive solidity that the hosts may find challenging to breach. The expected goals indicate that the visitors have a statistical edge, even as they look to turn those xPoints into tangible results.

    The model has Verona as slight favorites with a 40% chance of victory compared to Padova’s 30%. The most likely scoreline of 1-1 at 13% backs up a potentially tight affair, with a 0-1 result for Verona following closely at 11%. Given that 51% for both teams to score hovers around a coin flip, the prediction leans towards a cautious optimism for Verona’s attacking potential to shine through eventually.

    In terms of betting angles, the over 2.5 market offers intriguing value. Despite only a 46% probability, the odds of 2.3 available with Betsafe, Betsson, and Nordicbet provide a tempting 5% edge according to the model. This bet appears to offer the sharpest opportunity, especially if Verona’s attack can convert their superior xG into the goals their approach deserves.

    PadovaPadova
    Form WLWWW
    League ranking xG #19xGA #18xT #8xP/match #19Points #9
    Key players
    • Kevin LasagnaFxG 0.30 · xT 0.02
    • Mattia BortolussiFxG 0.31 · xT 0.02
    • Alessandro CapelliRWBxG 0.09 · xT 0.22
    Hellas VeronaHellas Verona
    Form L
    League ranking xG #1xGA #11xT #2xP/match #1Points #13
    Key players
    • Kieron Thomas BowieFxG 0.20 · xT 0.03
    • Gift OrbanFxG 0.35 · xT 0.07
    • GiovaneRWxG 0.18 · xT 0.07
    • Numbers from Serie A 2025

    Match prediction: PadovaHellas Verona

    Predicted score matrix

    Hellas Verona
    Padova
    0
    1
    2
    3
    4+
    0
    0–08.6%
    0–110.9%
    0–27.7%
    0–33.5%
    0–4+1.6%
    1
    1–08.9%
    1–113.1%
    1–28.7%
    1–34.0%
    1–4+1.8%
    2
    2–05.2%
    2–17.2%
    2–24.9%
    2–32.2%
    2–4+1.0%
    3
    3–02.0%
    3–12.7%
    3–21.8%
    3–30.8%
    3–4+0.4%
    4+
    4+–00.7%
    4+–11.0%
    4+–20.7%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-111%
    3. 3.1-09%
    4. 4.1-29%
    5. 5.0-09%
    Expected goals
    1,131,37
    Both teams to score
    51%

    Over/under goals

    Expected goals: 2,5
    Under 2,554%
    @1.55
    Over 2,546%
    @2.30EV+5%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Hellas Verona or draw (X2)70%
    • Under 3.5 goals76%

    Combined probability

    52%

    Fair odds

    1.90

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

    02 · 3 legs

    Balanced

    • Double chance Hellas Verona or draw (X2)70%
    • Under 2.5 goals54%
    • Gift Emmanuel Orban to score20%

    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 goals46%
    • Pietro Fusi to score26%
    • Jesús Santiago Pérez to be booked24%

    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+).

    • Over 2.546% probability@2.30BetsafeEV+5%reference odds
    • Over 2.546% probability@2.30BetssonEV+5%reference odds
    • Over 2.546% probability@2.30NordicbetEV+5%reference odds
    Bookmaker1 · PadovaX2 · Hellas Verona
    Betsafe2.903.002.42
    Betsson2.903.002.42
    Nordicbet2.903.002.42
    Pinnacle2.963.03
    EV+ 4%
    2.60

    Odds updated 28 Aug, 08:33

    Odds movement

    1-2 %
    34 %29 %

    3.032.96

    X-4 %
    33 %28 %

    3.153.03

    2+6 %
    40 %35 %

    2.462.60

    Pinnacle · 4 recorded price levels · 24/08/2026 → 28/08/2026 · fixed scale 5 percentage points

    Statistics

    Key facts

    • Calcio Padova come into this round on 3 straight wins.
    xG & xGA per match — 3-game rolling average

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

    Padova
    When goals are scored and conceded 2026
    Padova (10)
    Hellas Verona (12)
    Pass networks

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

    Padova
    Emanuele Zuelli: 43 passningar, xT 0.36ZuelliChristian Diego Pastina: 43 passningar, xT 0.05PastinaAlessandro Dellavalle: 41 passningar, xT 0.37DellavalleFilippo Sgarbi: 31 passningar, xT 0.03SgarbiGianluca Caprari: 26 passningar, xT 0.04CaprariLuca Zanimacchia: 25 passningar, xT 0.05ZanimacchiaPietro Fusi: 23 passningar, xT 0.04FusiLorenzo Carissoni: 21 passningar, xT 0CarissoniAlessandro Sorrentino: 20 passningar, xT 0.01SorrentinoMarco Pompetti: 12 passningar, xT 0.01PompettiMattia Bortolussi: 10 passningar, xT -0.01Bortolussi
    Hellas Verona
    Pawel Dawidowicz: 47 passningar, xT 0.07DawidowiczAndrias Edmundsson: 32 passningar, xT 0.08EdmundssonGrigoris Kastanos: 30 passningar, xT 0.09KastanosDomagoj Bradarić: 27 passningar, xT 0.06BradarićAndréa Paul Leborgne: 21 passningar, xT 0.33LeborgneAmin Sarr: 20 passningar, xT 0.29SarrDaniel Oyegoke: 19 passningar, xT 0.2OyegokeNicola Leali: 16 passningar, xT 0.01LealiSamuele Mulattieri: 16 passningar, xT 0.09MulattieriAbdoulrahmane Harroui: 14 passningar, xT -0.04HarrouiMattia Compagnon: 13 passningar, xT 0.09Compagnon
    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.

    Padova
    Emanuele Zuelli: 43 passningar, xT 0.36ZuelliChristian Diego Pastina: 43 passningar, xT 0.05PastinaAlessandro Dellavalle: 41 passningar, xT 0.37DellavalleFilippo Sgarbi: 31 passningar, xT 0.03SgarbiGianluca Caprari: 26 passningar, xT 0.04CaprariLuca Zanimacchia: 25 passningar, xT 0.05ZanimacchiaPietro Fusi: 23 passningar, xT 0.04FusiLorenzo Carissoni: 21 passningar, xT 0CarissoniAlessandro Sorrentino: 20 passningar, xT 0.01SorrentinoMarco Pompetti: 12 passningar, xT 0.01PompettiMattia Bortolussi: 10 passningar, xT -0.01Bortolussi
    Hellas Verona
    Pawel Dawidowicz: 47 passningar, xT 0.07DawidowiczAndrias Edmundsson: 32 passningar, xT 0.08EdmundssonGrigoris Kastanos: 30 passningar, xT 0.09KastanosDomagoj Bradarić: 27 passningar, xT 0.06BradarićAndréa Paul Leborgne: 21 passningar, xT 0.33LeborgneAmin Sarr: 20 passningar, xT 0.29SarrDaniel Oyegoke: 19 passningar, xT 0.2OyegokeNicola Leali: 16 passningar, xT 0.01LealiSamuele Mulattieri: 16 passningar, xT 0.09MulattieriAbdoulrahmane Harroui: 14 passningar, xT -0.04HarrouiMattia Compagnon: 13 passningar, xT 0.09Compagnon

    The teams in numbers

    PerformancePadovaHellas Verona
    Points30
    xPoints0.62.5
    xG per match0.633.4
    xGA per match21.1
    xG within 8s of winning the ball0.070.54
    xGA within 8s of losing the ball0.140.58
    Playing stylePadovaHellas Verona
    Build-up efficiency0.290.33
    Field tilt0.340.6
    xT per match1.12
    xTA per match1.80.38
    Won balls, offensive half2632
    Pressing intensity0.230.23
    Pressing efficiency0.290.29
    Pressing efficiency, offensive half0.20.19
    Entries into the box per match1519
    Entries into the box against1511
    Pass completion %0.740.72
    Pass completion % under pressure0.680.73
    Passes per match326285
    Passes against per match468345
    Switches of play per match14.418.2
    Long balls per match2721
    Set piecesPadovaHellas Verona
    xG from free kicks00.06
    Corners per match6.25.1
    Corners against per match4.13
    xG per corner00.03
    xGA per corner against0.010.06
    First touch, offensive corners %0.50.2
    First touch, defensive corners %0.50.33
    OtherPadovaHellas Verona
    Throw-in control0.80.7
    The goalkeepersAlessandro Sorrentino (Padova)Nicola Leali (Hellas Verona)
    Saves72
    Save %100%50%
    xG prevented100%13%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Padova vs Hellas Verona according to our model?

    The model gives Hellas Verona a 40% win probability. Full 1X2 picture: Padova 30%, draw 30%, Hellas Verona 40%.

    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 46% and under at 54%.

    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.