Serie BStadio Euganeo, Padova

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    PadovaPadovaBalanced & physical
    vs
    AscoliAscoliPossession & high press
    The model's lean: 2 · Ascoli (36%)Soft draw

    PadovaAscoli · Serie B

    1 · Padova 33%X 31%36% Ascoli · 2

    Analysis: PadovaAscoli

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

    A glance at the head-to-head record between Padova and Ascoli offers limited insights due to the small sample size. Thus, current form and expected goals become pivotal in assessing this Serie B clash. Ascoli emerges slightly ahead with a 36% win probability, nudging out Padova's 33%. Draws account for 31%, reflecting a tight contest.

    Padova's balanced and physical approach contrasts with Ascoli's possession-oriented, high-pressing style. This tactical clash leaves the two teams with close expected goals: 1.13 for Padova and 1.22 for Ascoli. Despite the visitors' style advantage, Padova's defensive edge with a slightly better xGA of 1.7 compared to Ascoli's 1.8 cannot be ignored. The model suggests that goals may be a premium, peaking at a 14% likelihood for a 1-1 draw, and a respective 11% and 10% chance for 0-1 and 1-0 scorelines.

    Examining the teams' points and xPoints, Ascoli holds an upper hand with 7 points versus Padova's 4, and an xPoints of 4.0 over Padova's 2.7. Ascoli also boasts an xG of 1.8 per match, substantially higher than Padova's 0.89. This indicates a more potent attack from the visitors, even if their defense remains slightly more vulnerable than the hosts'.

    From a betting perspective, the value lies with Ascoli. Offered at odds of 3.2 with Betsafe, Betsson, and Nordicbet, the model's 36% win probability suggests a 16% edge. Favoring Ascoli aligns with the numbers, signaling a likely narrow victory for the visitors, though caution is warranted due to the balanced nature of this matchup. Expect a tightly contested game, with a lean under 2.5 goals, as the strategic styles of these sides may suppress a high-scoring affair.

    PadovaPadova
    Form WWWDL
    League ranking xG #16xGA #16xT #12xP/match #17Points #11
    Key players
    • Pietro FusiLWxG 0.02 · xT 0.14
    • Lorenzo CarissoniRWxG 0.01 · xT 0.13
    • Marco PompettiRWxG 0.29 · xT 0.01
    AscoliAscoli
    Form WDW
    League ranking xG #3xGA #19xT #2xP/match #10Points #4
    Key players
    • Nicholas RizzoCBxG 0.01 · xT 0.16
    • Simone D'UffiziLWxG 0.12 · xT 0.29
    • Abdoul Razack GuiébréLWBxG 0.07 · xT 0.10

    Match prediction: PadovaAscoli

    Predicted score matrix

    Ascoli
    Padova
    0
    1
    2
    3
    4+
    0
    0–09.9%
    0–111.3%
    0–27.1%
    0–32.9%
    0–4+1.2%
    1
    1–010.4%
    1–113.5%
    1–28.0%
    1–33.3%
    1–4+1.3%
    2
    2–06.1%
    2–17.4%
    2–24.5%
    2–31.8%
    2–4+0.7%
    3
    3–02.3%
    3–12.8%
    3–21.7%
    3–30.7%
    3–4+0.3%
    4+
    4+–00.8%
    4+–11.0%
    4+–20.6%
    4+–30.2%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-114%
    2. 2.0-111%
    3. 3.1-010%
    4. 4.0-010%
    5. 5.1-28%
    Expected goals
    1,131,22
    Both teams to score
    48%

    Over/under goals

    Expected goals: 2,3
    Under 2,558%
    @1.77EV+3%
    Over 2,542%
    @2.09

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Ascoli or draw (X2)67%
    • Under 3.5 goals79%

    Combined probability

    53%

    Fair odds

    1.89

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

    02 · 3 legs

    Balanced

    • Double chance Ascoli or draw (X2)67%
    • Under 2.5 goals58%
    • Andrea Silipo to score24%

    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 score48%
    • Over 2.5 goals42%
    • Pietro Fusi to score27%
    • Samuele Damiani 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 · Ascoli36% probability@3.48PinnacleEV+26%reference odds
    • 2 · Ascoli36% probability@3.20BetsafeEV+16%reference odds
    • 2 · Ascoli36% probability@3.20BetssonEV+16%reference odds
    Bookmaker1 · PadovaX2 · Ascoli
    Betsafe2.153.20
    EV+ 16%
    3.20
    Betsson2.153.20
    EV+ 16%
    3.20
    Nordicbet2.153.20
    EV+ 16%
    3.20
    Pinnacle2.21
    EV+ 1%
    3.30
    EV+ 26%
    3.48

    Odds updated 11 Sept, 16:32

    Odds movement

    Market signal

    The market has moved clearly towards a Padova win since 7 September — the odds have shortened from 2.37 to 2.21 (−7%).

    1-7 %
    44 %39 %

    2.372.21

    X+3 %
    32 %27 %

    3.193.30

    2+11 %
    31 %26 %

    3.143.48

    Over 2,5-3 %
    48 %43 %

    2.152.09

    Pinnacle · 10 recorded price levels · 07/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Padova
    Ascoli
    When goals are scored and conceded 2026
    Padova (34)
    Ascoli (42)
    Pass networks

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

    Padova
    Emanuele Zuelli: 131 passningar, xT 0.47ZuelliAlessandro Dellavalle: 129 passningar, xT 0.57DellavalleChristian Diego Pastina: 114 passningar, xT 0.13PastinaLorenzo Carissoni: 82 passningar, xT 0.37CarissoniAlessandro Sorrentino: 73 passningar, xT 0.04SorrentinoMatteo Lovato: 73 passningar, xT 0.02LovatoGianluca Caprari: 53 passningar, xT 0.02CaprariPietro Fusi: 53 passningar, xT 0.29FusiMatteo Cocchi: 52 passningar, xT 0.04CocchiMarco Pompetti: 46 passningar, xT 0.02PompettiFilippo Sgarbi: 31 passningar, xT 0.03Sgarbi
    Ascoli
    Marcos Curado: 195 passningar, xT 0.89CuradoNicholas Rizzo: 184 passningar, xT 0.47RizzoSamuele Damiani: 137 passningar, xT 0.15DamianiAbdoul Razack Guiébré: 113 passningar, xT 0.07GuiébréTommaso Milanese: 108 passningar, xT 0.15MilaneseGiovanni Corradini: 104 passningar, xT 0.73CorradiniSamuele Vitale: 79 passningar, xT -0.02VitaleSimone D'Uffizi: 64 passningar, xT 0.77D'UffiziAndrea Silipo: 62 passningar, xT 0.37SilipoSergiu Perciun: 50 passningar, xT -0.04PerciunAndrea Oliveri: 27 passningar, xT 0.19Oliveri
    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: 131 passningar, xT 0.47ZuelliAlessandro Dellavalle: 129 passningar, xT 0.57DellavalleChristian Diego Pastina: 114 passningar, xT 0.13PastinaLorenzo Carissoni: 82 passningar, xT 0.37CarissoniAlessandro Sorrentino: 73 passningar, xT 0.04SorrentinoMatteo Lovato: 73 passningar, xT 0.02LovatoGianluca Caprari: 53 passningar, xT 0.02CaprariPietro Fusi: 53 passningar, xT 0.29FusiMatteo Cocchi: 52 passningar, xT 0.04CocchiMarco Pompetti: 46 passningar, xT 0.02PompettiFilippo Sgarbi: 31 passningar, xT 0.03Sgarbi
    Ascoli
    Marcos Curado: 195 passningar, xT 0.89CuradoNicholas Rizzo: 184 passningar, xT 0.47RizzoSamuele Damiani: 137 passningar, xT 0.15DamianiAbdoul Razack Guiébré: 113 passningar, xT 0.07GuiébréTommaso Milanese: 108 passningar, xT 0.15MilaneseGiovanni Corradini: 104 passningar, xT 0.73CorradiniSamuele Vitale: 79 passningar, xT -0.02VitaleSimone D'Uffizi: 64 passningar, xT 0.77D'UffiziAndrea Silipo: 62 passningar, xT 0.37SilipoSergiu Perciun: 50 passningar, xT -0.04PerciunAndrea Oliveri: 27 passningar, xT 0.19Oliveri

    The teams in numbers

    PerformancePadovaAscoli
    Points47
    xPoints2.74
    xG per match0.891.8
    xGA per match1.71.8
    xG within 8s of winning the ball0.180.49
    xGA within 8s of losing the ball0.110.29
    Playing stylePadovaAscoli
    Build-up efficiency0.290.25
    Field tilt0.410.7
    xT per match0.821.4
    xTA per match1.10.94
    Won balls, offensive half2626
    Pressing intensity0.230.23
    Pressing efficiency0.280.35
    Pressing efficiency, offensive half0.240.36
    Entries into the box per match1114
    Entries into the box against1012
    Pass completion %0.750.81
    Pass completion % under pressure0.710.77
    Passes per match335403
    Passes against per match469225
    Switches of play per match23.124.6
    Long balls per match2927
    Set piecesPadovaAscoli
    xG from free kicks00.08
    Corners per match4.56.7
    Corners against per match4.56.3
    xG per corner0.020.01
    xGA per corner against0.030.07
    First touch, offensive corners %0.540.35
    First touch, defensive corners %0.620.74
    OtherPadovaAscoli
    Throw-in control0.780.72
    The goalkeepersAlessandro Sorrentino (Padova)Samuele Vitale (Ascoli)
    Saves128
    Save %75%80%
    xG prevented38%68%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Padova vs Ascoli according to our model?

    The model gives Ascoli a 36% win probability. Full 1X2 picture: Padova 33%, draw 31%, Ascoli 36%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 14% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 42% and under at 58%.

    Will both teams score?

    The probability of both teams scoring is 48% 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.