Serie BArena Garibaldi, Pisa16°9,3 mm8 km/h

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    PisaPisaBalanced & physical
    vs
    PalermoPalermoCounter-attacks & crosses
    The model's lean: 1 · Pisa (40%)

    Pisa vs Palermo · Serie B

    1 · Pisa 40%X 27%32% Palermo · 2

    Prediction summary

    BetBuilders AI model prediction for Pisa vs Palermo (Serie B, Wednesday, 28 October 2026): Pisa win 40%, draw 27%, Palermo win 32%. Expected goals (xG): Pisa 1.47, Palermo 1.39. Most likely score: 1-1 (12%). Over 2.5 goals 55%, both teams to score 58%. Double chance: Pisa or draw 68%, Palermo or draw 60%. Prediction updated Monday, 19 October 2026.

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    Analysis: Pisa – Palermo

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

    A slim margin separates Pisa and Palermo on paper, setting the stage for a tightly contested affair. Pisa's structured, physical approach contrasts with Palermo's reliance on counter-attacks and crossing into the box. The hosts are pegged at a 40% chance of winning, with Palermo not far behind at 32% — suggesting a close encounter. Pisa's defensive discipline is underscored by their xGA of just 0.93 per match, presenting a fortification Palermo might find difficult to breach.

    Pisa's head-to-head advantage against Palermo since 2023, with two wins in as many matchups, is tempered by the small sample size. Palermo's form, however, cannot be ignored; they arrive on the back of three consecutive victories and a scoring streak spanning eight league matches. This momentum could challenge Pisa's defensive resilience, yet the hosts' solid xPoints of 13.8 outshine Palermo's 12.4, indicating that Pisa have been slightly more effective than their points suggest.

    Expected goals for both sides — Pisa at 1.47 and Palermo at 1.39 — hint at a balanced match, with the most likely scoreline being 1-1 at 12%. The over 2.5 goals probability at 55% and both teams to score at 58% are intriguing, suggesting moderate goal activity despite the potential defensive rigidity. Palermo's attacking prowess, evidenced by their higher xG per match of 2.0, might test Pisa's backline, but Pisa's ability to control the game's pace could stifle their visitors' rhythm.

    From a betting perspective, the value lies with Pisa given the model's lean and their head-to-head success, especially considering their odds might not fully reflect Palermo's recent form. However, the market might be underpricing Palermo's streak, so spotting a bookmaker offering favorable odds on a draw or a Palermo strike could be a cunning play. As it stands, a 1-1 draw appears the most probable outcome, with Pisa holding a slight edge in a clash that promises strategic rather than open football.

    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
    PalermoPalermo
    Form WDWWW
    League ranking xG #2xGA #11xT #3xP/match #3Points #1
    Key players
    • Filippo RanocchiaCDMxG 0.10 · xT 0.21
    • Pietro CeccaroniCBxG 0.00 · xT 0.10
    • Mattia BaniCBxG 0.02 · xT 0.08

    Match prediction: Pisa – Palermo

    Predicted score matrix

    Palermo →
    Pisa →
    0
    1
    2
    3
    4+
    0
    0–06.1%
    0–17.6%
    0–25.6%
    0–32.6%
    0–4+1.2%
    1
    1–08.0%
    1–112.0%
    1–28.2%
    1–33.8%
    1–4+1.8%
    2
    2–06.2%
    2–18.6%
    2–26.0%
    2–32.8%
    2–4+1.3%
    3
    3–03.0%
    3–14.2%
    3–22.9%
    3–31.4%
    3–4+0.6%
    4+
    4+–01.5%
    4+–12.1%
    4+–21.5%
    4+–30.7%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-28%
    4. 4.1-08%
    5. 5.0-18%
    Expected goals
    1,47–1,39
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    –
    Over 2,555%
    –

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    01 · 2 legs

    Safe

    • Double chance Pisa or draw (1X)65%
    • Over 1.5 goals78%

    Combined probability

    50%

    Fair odds

    1.98

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

    02 · 3 legs

    Balanced

    • Double chance Pisa or draw (1X)65%
    • Over 2.5 goals55%
    • Filippo Maria Pittarello to score22%

    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 score58%
    • Over 2.5 goals55%
    • Dennis Tørset Johnsen to score27%
    • Giuseppe Leone 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

    Bookmaker1 · PisaX2 · Palermo
    Betsafe2.253.352.90
    LeoVegas2.253.402.85
    Nordicbet2.253.352.90

    Odds updated 21 Oct, 20:37

    Statistics

    Head-to-head

    2 matches
    Pisa 2Draw 0Palermo 0
    Goals: 4–1 (⌀ 2,5)

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

    Key facts

    • Palermo come into this round on 3 straight wins.
    • Palermo have scored in 8 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Pisa
    Palermo
    When goals are scored and conceded — 2026
    Pisa (14–9)
    Palermo (16–7)
    Pass networks

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

    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
    Palermo
    Tommaso Augello: 278 passningar, xT 0.57AugelloMattia Bani: 220 passningar, xT 0.54BaniPietro Ceccaroni: 210 passningar, xT 0.43CeccaroniFilippo Ranocchia: 200 passningar, xT 0.82RanocchiaTommaso Cassandro: 132 passningar, xT 0.52CassandroAntonio Palumbo: 128 passningar, xT 0.9PalumboJacopo Segre: 94 passningar, xT 0.26SegreMattia Fortin: 87 passningar, xT 0.18FortinMattia Perin: 82 passningar, xT 0.06PerinDominic Vavassori: 82 passningar, xT 0.13VavassoriNahuel Estévez Álvarez: 71 passningar, xT 0.01Álvarez
    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
    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
    Palermo
    Tommaso Augello: 278 passningar, xT 0.57AugelloMattia Bani: 220 passningar, xT 0.54BaniPietro Ceccaroni: 210 passningar, xT 0.43CeccaroniFilippo Ranocchia: 200 passningar, xT 0.82RanocchiaTommaso Cassandro: 132 passningar, xT 0.52CassandroAntonio Palumbo: 128 passningar, xT 0.9PalumboJacopo Segre: 94 passningar, xT 0.26SegreMattia Fortin: 87 passningar, xT 0.18FortinMattia Perin: 82 passningar, xT 0.06PerinDominic Vavassori: 82 passningar, xT 0.13VavassoriNahuel Estévez Álvarez: 71 passningar, xT 0.01Álvarez

    The teams in numbers

    PerformancePisaPalermo
    Points1319
    xPoints13.812.4
    xG per match1.82
    xGA per match0.931.3
    xG within 8s of winning the ball0.260.18
    xGA within 8s of losing the ball0.30.12
    Playing stylePisaPalermo
    Build-up efficiency0.30.3
    Field tilt0.520.51
    xT per match1.11.2
    xTA per match0.971.1
    Won balls, offensive half2624
    Pressing intensity0.240.25
    Pressing efficiency0.290.28
    Pressing efficiency, offensive half0.250.23
    Entries into the box per match1313
    Entries into the box against1412
    Pass completion %0.770.77
    Pass completion % under pressure0.720.71
    Passes per match357366
    Passes against per match384346
    Switches of play per match20.623.1
    Long balls per match2229
    Set piecesPisaPalermo
    xG from free kicks0.020.02
    Corners per match6.54.2
    Corners against per match5.35.5
    xG per corner0.040.01
    xGA per corner against0.010.02
    First touch, offensive corners %0.470.43
    First touch, defensive corners %0.540.54
    OtherPisaPalermo
    Throw-in control0.670.7
    The goalkeepersAlessandro Confente (Pisa)Mattia Fortin (Palermo)
    Saves1512
    Save %63%75%
    xG prevented51%42%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Pisa vs Palermo according to our model?

    The model gives Pisa a 40% win probability. Full 1X2 picture: Pisa 40%, draw 27%, Palermo 32%.

    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 55% and under at 45%.

    Will both teams score?

    The probability of both teams scoring is 58% according to the model.

    How many goals are expected in Pisa vs Palermo?

    The model expects 1.47 goals (xG) for Pisa and 1.39 for Palermo, 2.86 in total.

    What does the model say about double chance?

    Pisa or draw (1X) 68%, Palermo or draw (X2) 60% and no draw (12) 73%.

    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.