Serie BStadio Giovanni Zini, Cremona28°14 km/h

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    CremoneseCremonesePossession & high press
    31
    PadovaPadovaBalanced & physical
    The model's lean: 1 · Cremonese (57%)

    CremonesePadova · Serie B

    1 · Cremonese 57%X 24%19% Padova · 2

    Analysis: CremonesePadova

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    TEXT: Cremonese enters this Serie B fixture with a statistical edge, despite having yet to secure a point this season. A possession-focused side with a high press, they appear well-suited to exploit Calcio Padova’s more physical and balanced approach. The model gives the hosts a 57% chance of victory, highlighting Cremonese as the likely winners in this encounter.

    The expected goals (xG) tilt in Cremonese's favor, 1.69 to Padova's 0.97, reinforcing their home advantage. This disparity suggests that the hosts should find opportunities to break down Padova's defense, which has been conceding an average of 1.8 xGA per match. In contrast, Cremonese's defense appears robust, allowing only 0.79 xGA per game, pointing to a possible clean sheet.

    Although Cremonese has yet to secure a point in the league, the model suggests they are outperforming their xG of 0.83 per match relative to their results so far. Padova, with four points on the board, may seem the better side at first glance. However, their xG of 0.72 indicates they’ve perhaps been more fortunate than effective, and the small sample of head-to-head results cannot outweigh these numbers.

    The most probable scoreline according to the model is a 1-1 draw (12%), followed closely by a 1-0 (11%) and 2-0 (10%) win for the home side. The over/under 2.5 goals market sits delicately balanced at 50%, hinting at a potentially tight affair. Meanwhile, both teams to score sits at 51%, suggesting a fairly even chance either side keeps a clean sheet or not.

    For those inclined to punt, Cremonese to win is valued at 1.85 with Betsafe, Betsson, or Nordicbet, offering a 6% edge based on the model's assessment. This homespun bet aligns with the calculated probabilities, turning a seemingly mundane encounter into a profitable opportunity.

    CremoneseCremonese
    Form WDWLL
    League ranking xG #14xGA #5xT #5xP/match #15Points #20
    Key players
    • Jari VandeputteLWxG 0.04 · xT 0.29
    • Matteo BianchettiCBxG 0.01 · xT 0.10
    • Sebastiano LupertoCBxG 0.01 · xT 0.19
    PadovaPadova
    Form LWWWD
    League ranking xG #17xGA #18xT #10xP/match #17Points #7
    Key players
    • Pietro FusiLWxG 0.03 · xT 0.16
    • Christian Diego PastinaCBxG 0.03 · xT 0.04
    • Lorenzo CarissoniRWxG 0.02 · xT 0.03
    Final score
    31
    The model called the outcome
    Predicted probabilities: Cremonese 57% · Draw 24% · Padova 19%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - CremoneseBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,56fair 7,33-11 %
    Hit
    Matchresultat - PadovaBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 14,46fair 21,90-34 %
    Miss

    Match prediction: CremonesePadova

    Predicted score matrix

    Padova
    Cremonese
    0
    1
    2
    3
    4+
    0
    0–07.3%
    0–16.5%
    0–23.3%
    0–31.1%
    0–4+0.3%
    1
    1–011.5%
    1–111.8%
    1–25.6%
    1–31.8%
    1–4+0.5%
    2
    2–010.0%
    2–19.7%
    2–24.7%
    2–31.5%
    2–4+0.5%
    3
    3–05.6%
    3–15.5%
    3–22.6%
    3–30.9%
    3–4+0.3%
    4+
    4+–03.5%
    4+–13.4%
    4+–21.6%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-011%
    3. 3.2-010%
    4. 4.2-110%
    5. 5.0-07%
    Expected goals
    1,690,97
    Both teams to score
    51%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    @1.79
    Over 2,550%
    @2.09EV+4%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Cremonese to win57%
    • Under 3.5 goals72%

    Combined probability

    37%

    Fair odds

    2.72

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

    02 · 3 legs

    Balanced

    • Cremonese to win57%
    • Under 2.5 goals50%
    • Jamie Richard Vardy to score29%

    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 goals50%
    • Jamie Richard Vardy to score29%
    • Marco Perrotta 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+).

    • 1 · Cremonese57% probability@1.93PinnacleEV+10%reference odds
    • 1 · Cremonese57% probability@1.85BetsafeEV+6%reference odds
    • 1 · Cremonese57% probability@1.85BetssonEV+6%reference odds
    Bookmaker1 · CremoneseX2 · Padova
    Betsafe
    EV+ 6%
    1.85
    3.304.10
    Betsson
    EV+ 6%
    1.85
    3.304.10
    Nordicbet
    EV+ 6%
    1.85
    3.304.10
    Pinnacle
    EV+ 10%
    1.93
    3.494.27

    Odds updated 6 Sept, 11:36

    Odds movement

    10 %
    53 %48 %

    1.921.93

    X+1 %
    30 %25 %

    3.443.49

    2+4 %
    25 %20 %

    4.094.27

    Over 2,5+1 %
    49 %44 %

    2.062.09

    Pinnacle · 13 recorded price levels · 31/08/2026 → 06/09/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Cremonese
    Padova
    When goals are scored and conceded 2026
    Cremonese (04)
    Padova (21)
    Pass networks

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

    Cremonese
    Matteo Bianchetti: 147 passningar, xT 0.23BianchettiFabio Gerli: 132 passningar, xT 0.09GerliSebastiano Luperto: 121 passningar, xT 0.32LupertoSimone Lottici Tessadri: 111 passningar, xT 0.32TessadriAlessandro Vogliacco: 102 passningar, xT 0.31VogliaccoJari Vandeputte: 95 passningar, xT 0.58VandeputteFederico Bonazzoli: 67 passningar, xT 0.08BonazzoliGiuseppe Pezzella: 46 passningar, xT 0.12PezzellaSimone Pontisso: 37 passningar, xT 0.02PontissoAndrea Fulignati: 33 passningar, xT 0.04FulignatiTommaso Berti: 29 passningar, xT 0.14Berti
    Padova
    Christian Diego Pastina: 76 passningar, xT 0.07PastinaEmanuele Zuelli: 71 passningar, xT 0.45ZuelliAlessandro Dellavalle: 66 passningar, xT 0.42DellavalleAlessandro Sorrentino: 47 passningar, xT 0.04SorrentinoGianluca Caprari: 41 passningar, xT 0.02CaprariPietro Fusi: 36 passningar, xT 0.23FusiLorenzo Carissoni: 35 passningar, xT 0.05CarissoniMatteo Cocchi: 31 passningar, xT 0.05CocchiFilippo Sgarbi: 31 passningar, xT 0.03SgarbiMarco Pompetti: 26 passningar, xT 0.05PompettiMatteo Lovato: 25 passningar, xT -0.01Lovato
    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.

    Cremonese
    Matteo Bianchetti: 147 passningar, xT 0.23BianchettiFabio Gerli: 132 passningar, xT 0.09GerliSebastiano Luperto: 121 passningar, xT 0.32LupertoSimone Lottici Tessadri: 111 passningar, xT 0.32TessadriAlessandro Vogliacco: 102 passningar, xT 0.31VogliaccoJari Vandeputte: 95 passningar, xT 0.58VandeputteFederico Bonazzoli: 67 passningar, xT 0.08BonazzoliGiuseppe Pezzella: 46 passningar, xT 0.12PezzellaSimone Pontisso: 37 passningar, xT 0.02PontissoAndrea Fulignati: 33 passningar, xT 0.04FulignatiTommaso Berti: 29 passningar, xT 0.14Berti
    Padova
    Christian Diego Pastina: 76 passningar, xT 0.07PastinaEmanuele Zuelli: 71 passningar, xT 0.45ZuelliAlessandro Dellavalle: 66 passningar, xT 0.42DellavalleAlessandro Sorrentino: 47 passningar, xT 0.04SorrentinoGianluca Caprari: 41 passningar, xT 0.02CaprariPietro Fusi: 36 passningar, xT 0.23FusiLorenzo Carissoni: 35 passningar, xT 0.05CarissoniMatteo Cocchi: 31 passningar, xT 0.05CocchiFilippo Sgarbi: 31 passningar, xT 0.03SgarbiMarco Pompetti: 26 passningar, xT 0.05PompettiMatteo Lovato: 25 passningar, xT -0.01Lovato

    The teams in numbers

    PerformanceCremonesePadova
    Points04
    xPoints1.91.7
    xG per match0.830.72
    xGA per match0.791.8
    xG within 8s of winning the ball0.130.11
    xGA within 8s of losing the ball0.280.16
    Playing styleCremonesePadova
    Build-up efficiency0.320.29
    Field tilt0.850.38
    xT per match1.30.89
    xTA per match0.261.3
    Won balls, offensive half3128
    Pressing intensity0.230.23
    Pressing efficiency0.280.29
    Pressing efficiency, offensive half0.280.22
    Entries into the box per match1312
    Entries into the box against412
    Pass completion %0.850.72
    Pass completion % under pressure0.830.67
    Passes per match528291
    Passes against per match301453
    Switches of play per match28.416.5
    Long balls per match2628
    Set piecesCremonesePadova
    xG from free kicks0.010
    Corners per match6.54.1
    Corners against per match25.1
    xG per corner0.010.01
    xGA per corner against0.110.03
    First touch, offensive corners %0.380.5
    First touch, defensive corners %0.750.7
    OtherCremonesePadova
    Throw-in control0.710.75
    The goalkeepersAndrea Fulignati (Cremonese)Alessandro Sorrentino (Padova)
    Saves49
    Save %80%90%
    xG prevented37%52%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Cremonese vs Padova according to our model?

    The model gives Cremonese a 57% win probability. Full 1X2 picture: Cremonese 57%, draw 24%, Padova 19%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% 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 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.