Serie BArena Garibaldi, Pisa26°14 km/h

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    PisaPisaBalanced & physical
    vs
    CatanzaroCatanzaroCounter-attacks & crosses
    The model's lean: 2 · Catanzaro (39%)

    PisaCatanzaro · Serie B

    1 · Pisa 34%X 28%39% Catanzaro · 2

    Analysis: PisaCatanzaro

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

    Pisa's home resilience meets Catanzaro's potential in a Serie B clash that tilts slightly towards the visitors. The model probabilities favor Catanzaro with a 39% chance of victory, leaning towards a narrow win or a draw, and suggesting a tight contest. Despite Pisa's seemingly stronger xG numbers, translating this advantage into goals has been their Achilles' heel, reflected in their modest expected goals tally of 1.08.

    The home side's balanced and physical approach contrasts with Catanzaro's counter-attacking and crossing strategy. Yet, the hosts have not capitalized on their xG superiority, evidenced by their xPoints advantage of 2.1 to Catanzaro's 1.2. Moreover, Pisa's defensive xGA of 0.63 per match should, in theory, give them a solid base, but the predicted low scorelines of 1-1 and 0-1 suggest otherwise. The head-to-head record, albeit from a small sample, shows two draws, hinting at a closely-fought affair.

    Catanzaro's edge in the model is not mirrored in their xG stats, where Pisa stands taller. However, the visitors' ability to find value at odds of 4.2 with Betsafe, Betsson, and Nordicbet, given a 39% win probability, offers a tempting proposition. This suggests that despite Pisa’s statistical edges, the visitors could exploit the hosts’ inefficiencies in converting chances.

    The under 2.5 goals market leans towards a low-scoring game, with just 42% backing the over. Both teams scoring sits under 50%, further emphasizing a likely cagey affair. A 1-1 draw appears the most probable outcome, but Catanzaro's value at odds of 4.2 cannot be ignored for those seeking a sharp betting angle. This assessment underscores an intriguing betting opportunity where the numbers support a play on the visitors.

    PisaPisa
    Form WWLDL
    League ranking xG #3xGA #2xT #3xP/match #2Points #17
    Key players
    • Stefano MoreoFxG 0.26 · xT 0.07
    • Samuele AngoriLWxG 0.03 · xT 0.20
    • Malthe HøjholtFxG 0.02 · xT 0.03
    • Numbers from Serie A 2025
    CatanzaroCatanzaro
    Form WLLWL
    League ranking xG #6xGA #19xT #11xP/match #11Points #12
    Key players
    • Pietro IemmelloFxG 0.32 · xT 0.05
    • Filippo PittarelloFxG 0.39 · xT 0.06
    • Simone PontissoCMxG 0.09 · xT 0.14

    Match prediction: PisaCatanzaro

    Predicted score matrix

    Catanzaro
    Pisa
    0
    1
    2
    3
    4+
    0
    0–09.9%
    0–111.7%
    0–27.7%
    0–33.3%
    0–4+1.4%
    1
    1–09.8%
    1–113.4%
    1–28.3%
    1–33.6%
    1–4+1.5%
    2
    2–05.5%
    2–17.0%
    2–24.5%
    2–31.9%
    2–4+0.8%
    3
    3–02.0%
    3–12.5%
    3–21.6%
    3–30.7%
    3–4+0.3%
    4+
    4+–00.7%
    4+–10.9%
    4+–20.5%
    4+–30.2%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-112%
    3. 3.0-010%
    4. 4.1-010%
    5. 5.1-28%
    Expected goals
    1,081,28
    Both teams to score
    48%

    Over/under goals

    Expected goals: 2,4
    Under 2,558%
    @1.60
    Over 2,542%
    @2.33

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Catanzaro or draw (X2)69%
    • Under 3.5 goals79%

    Combined probability

    54%

    Fair odds

    1.84

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

    02 · 3 legs

    Balanced

    • Double chance Catanzaro or draw (X2)69%
    • Under 2.5 goals58%
    • Mattia Liberali 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%
    • Mattia Liberali to score24%
    • Michel Aebischer 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+).

    • 2 · Catanzaro39% probability@4.73PinnacleEV+82%reference odds
    • 2 · Catanzaro39% probability@4.30BetsafeEV+66%reference odds
    • 2 · Catanzaro39% probability@4.30BetssonEV+66%reference odds
    Bookmaker1 · PisaX2 · Catanzaro
    Betsafe1.823.15
    EV+ 66%
    4.30
    Betsson1.823.15
    EV+ 66%
    4.30
    Nordicbet1.823.15
    EV+ 66%
    4.30
    Pinnacle1.803.45
    EV+ 82%
    4.73

    Odds updated 28 Aug, 13:37

    Odds movement

    Market signal

    The market has moved clearly towards a Pisa win since 24 August — the odds have shortened from 1.99 to 1.80 (−10%).

    1-10 %
    55 %45 %

    1.991.80

    X+6 %
    33 %23 %

    3.263.45

    2+17 %
    27 %17 %

    4.044.73

    Pinnacle · 6 recorded price levels · 24/08/2026 → 28/08/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    2 matches
    Pisa 0Draw 2Catanzaro 0
    Goals: 00

    Head-to-head based on Serie B data since 2023.

    xG & xGA per match — 3-game rolling average

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

    Pisa
    Catanzaro
    When goals are scored and conceded 2026
    Pisa (01)
    Catanzaro (23)
    Pass networks

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

    Pisa
    Giuseppe Leone: 57 passningar, xT 0.21LeoneMehdi Leris: 48 passningar, xT 0.4LerisSimone Canestrelli: 48 passningar, xT 0.03CanestrelliAlessandro Confente: 44 passningar, xT 0.03ConfenteSimone Zanon: 41 passningar, xT 0.42ZanonRosen Petkov Bozhinov: 36 passningar, xT 0.03Bozhinovİsak Vural: 27 passningar, xT -0.02VuralAndrea Petagna: 23 passningar, xT 0.01PetagnaTommaso Marras: 23 passningar, xT 0.06MarrasAntonio Caracciolo: 21 passningar, xT 0.01CaraccioloMattéo Tramoni: 21 passningar, xT 0.15Tramoni
    Catanzaro
    Jacopo Petriccione: 63 passningar, xT 0.15PetriccioneMarco Ruggero: 38 passningar, xT 0.02RuggeroGabriele Alesi: 36 passningar, xT 0AlesiMatias Antonini: 33 passningar, xT 0.28AntoniniBruno Verrengia: 32 passningar, xT 0.07VerrengiaPietro Iemmello: 23 passningar, xT 0.01IemmelloNicola Mosti: 21 passningar, xT 0.01MostiMarco Dalessandro: 20 passningar, xT 0DalessandroAntonio Candela: 19 passningar, xT 0CandelaMirko Pigliacelli: 17 passningar, xT 0.07PigliacelliFranky Tchaouna: 12 passningar, xT -0.03Tchaouna
    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.

    Pisa
    Giuseppe Leone: 57 passningar, xT 0.21LeoneMehdi Leris: 48 passningar, xT 0.4LerisSimone Canestrelli: 48 passningar, xT 0.03CanestrelliAlessandro Confente: 44 passningar, xT 0.03ConfenteSimone Zanon: 41 passningar, xT 0.42ZanonRosen Petkov Bozhinov: 36 passningar, xT 0.03Bozhinovİsak Vural: 27 passningar, xT -0.02VuralAndrea Petagna: 23 passningar, xT 0.01PetagnaTommaso Marras: 23 passningar, xT 0.06MarrasAntonio Caracciolo: 21 passningar, xT 0.01CaraccioloMattéo Tramoni: 21 passningar, xT 0.15Tramoni
    Catanzaro
    Jacopo Petriccione: 63 passningar, xT 0.15PetriccioneMarco Ruggero: 38 passningar, xT 0.02RuggeroGabriele Alesi: 36 passningar, xT 0AlesiMatias Antonini: 33 passningar, xT 0.28AntoniniBruno Verrengia: 32 passningar, xT 0.07VerrengiaPietro Iemmello: 23 passningar, xT 0.01IemmelloNicola Mosti: 21 passningar, xT 0.01MostiMarco Dalessandro: 20 passningar, xT 0DalessandroAntonio Candela: 19 passningar, xT 0CandelaMirko Pigliacelli: 17 passningar, xT 0.07PigliacelliFranky Tchaouna: 12 passningar, xT -0.03Tchaouna

    The teams in numbers

    PerformancePisaCatanzaro
    Points00
    xPoints2.11.2
    xG per match21.6
    xGA per match0.632.1
    xG within 8s of winning the ball0.140
    xGA within 8s of losing the ball0.070.3
    Playing stylePisaCatanzaro
    Build-up efficiency0.30.31
    Field tilt0.660.56
    xT per match1.80.97
    xTA per match1.12.1
    Won balls, offensive half2512
    Pressing intensity0.240.22
    Pressing efficiency0.320.2
    Pressing efficiency, offensive half0.250.09
    Entries into the box per match1510
    Entries into the box against1518
    Pass completion %0.790.79
    Pass completion % under pressure0.710.8
    Passes per match468349
    Passes against per match326304
    Switches of play per match29.923
    Long balls per match3027
    Set piecesPisaCatanzaro
    xG from free kicks0.030.01
    Corners per match4.16
    Corners against per match6.210
    xG per corner0.010.12
    xGA per corner against00.01
    First touch, offensive corners %0.50.5
    First touch, defensive corners %0.50.7
    OtherPisaCatanzaro
    Throw-in control0.780.87
    The goalkeepersSimone Canestrelli (Pisa)Mirko Pigliacelli (Catanzaro)
    Saves26
    Save %100%67%
    xG prevented100%71%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Pisa vs Catanzaro according to our model?

    The model gives Catanzaro a 39% win probability. Full 1X2 picture: Pisa 34%, draw 28%, Catanzaro 39%.

    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 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.