Serie BStadio Renzo Barbera, Palermo16°2,7 mm6 km/h

    Läs på svenska
    PalermoPalermoCounter-attacks & crosses
    vs
    VicenzaVicenzaCounter-attacks & crosses
    The model's lean: 1 · Palermo (74%)

    Palermo vs Vicenza · Serie B

    1 · Palermo 74%X 15%11% Vicenza · 2

    Prediction summary

    BetBuilders AI model prediction for Palermo vs Vicenza (Serie B, Sunday, 1 November 2026): Palermo win 74%, draw 15%, Vicenza win 11%. Expected goals (xG): Palermo 2.67, Vicenza 0.85. Most likely score: 2-0 (11%). Over 2.5 goals 68%, both teams to score 53%. Double chance: Palermo or draw 89%, Vicenza or draw 26%. Prediction updated Friday, 23 October 2026.

    Bet on this match

    NordicbetVälkommen in i matchen! Skapa ett konto, gör en insättning och hämta ett gratisspel värt 100 kr plus 50 freespins på Pirots 4.Claim the bonus at Nordicbet
    BetsafeHämta ett 100 kr gratisspel + 50 freespins på Pirots 4 när du gör din första insättning hos Betsafe!Claim the bonus at Betsafe
    LeoVegas100 % upp till 600 kr på sport vid första insättningenClaim the bonus at LeoVegas

    18+ · Gamble responsibly · stodlinjen.se · Affiliate links

    Analysis: Palermo – Vicenza

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    Palermo are the right favourite, but the market still looks too cautious: the model makes the hosts 74% to win, against 15% for the draw and 11% for Vicenza. That is not a marginal lean. It points firmly to a home win, with 2-0 the most likely scoreline at 11%.

    Four straight wins have put Palermo’s form in plain sight, yet the underlying gap is just as persuasive. They hold 22 points to the visitors’ 9, while xPoints read 14.7 to 10.2. The hosts also produce 2.1 xG per match versus 1.3, and concede 1.2 xGA against 1.4. This is not merely a hot streak carrying the case.

    Palermo have scored in 9 consecutive league matches and win 63% of their home matches across 43 played since 2023. Vicenza’s counter-attack and crossing profile mirrors the home side’s approach, so there may be phases where the visitors find territory. Still, the model gives them only 0.85 expected goals, against 2.67 for the hosts. A clean sheet is very much live.

    The 14.7°C temperature and expected 6.9 mm of rain are a slight drag on finishing and crossing quality, usually suppressing goals rather than inflating them. That effect is already baked into the model’s numbers. Even so, Over 2.5 goals rates 68%, while both teams to score sits at 53%. The over is the lean, though 2-0 fits the numbers better than an open contest.

    Palermo to win is the standout assessment: LeoVegas offer 1.571, with the model’s 74% rating indicating a 16% edge. Betsafe and Nordicbet are both 1.55, assessed as a 15% edge. Back the home win; the sharper add-on is Palermo to win with 2-0 as the scoreline.

    PalermoPalermo
    Form DWWWW
    League ranking xG #1xGA #10xT #3xP/match #2Points #1
    Key players
    • Filippo RanocchiaCDMxG 0.11 · xT 0.22
    • Pietro CeccaroniCBxG 0.00 · xT 0.08
    • Mattia BaniCBxG 0.02 · xT 0.08
    VicenzaVicenza
    Form DLLDW
    League ranking xG #9xGA #15xT #8xP/match #14Points #14
    Key players
    • Gabriele MonciniFxG 0.46 · xT 0.03
    • Tommaso CorazzaLWxG 0.22 · xT 0.21
    • Thomas SandonCBxG 0.06 · xT 0.20

    Match prediction: Palermo – Vicenza

    Predicted score matrix

    Vicenza →
    Palermo →
    0
    1
    2
    3
    4+
    0
    0–03.2%
    0–12.3%
    0–21.1%
    0–30.3%
    0–4+0.1%
    1
    1–07.7%
    1–16.9%
    1–22.9%
    1–30.8%
    1–4+0.2%
    2
    2–010.6%
    2–19.0%
    2–23.8%
    2–31.1%
    2–4+0.3%
    3
    3–09.4%
    3–18.0%
    3–23.4%
    3–31.0%
    3–4+0.2%
    4+
    4+–011.9%
    4+–110.1%
    4+–24.3%
    4+–31.2%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-011%
    2. 2.3-09%
    3. 3.2-19%
    4. 4.3-18%
    5. 5.1-08%
    Expected goals
    2,67–0,85
    Both teams to score
    53%

    Over/under goals

    Expected goals: 3,5
    Under 2,532%
    @2.35
    Over 2,568%
    @1.52EV+4%

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Palermo to win74%
    • Over 1.5 goals87%

    Combined probability

    68%

    Fair odds

    1.47

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

    02 · 3 legs

    Balanced

    • Palermo to win74%
    • Over 2.5 goals68%
    • Joel Julius Ilmari Pohjanpalo to score37%

    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 score53%
    • Over 2.5 goals68%
    • Joel Julius Ilmari Pohjanpalo to score37%
    • Marco Carraro 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+).

    • 1 · Palermo74% probability@1.57LeoVegasEV+17%reference odds
    • 1 · Palermo74% probability@1.55BetsafeEV+15%reference odds
    • 1 · Palermo74% probability@1.55NordicbetEV+15%reference odds
    Bookmaker1 · PalermoX2 · Vicenza
    Betsafe
    EV+ 15%
    1.55
    4.054.90
    LeoVegas
    EV+ 17%
    1.57
    4.104.90
    Nordicbet
    EV+ 15%
    1.55
    4.054.90

    Odds updated 27 Oct, 13:36

    Odds movement

    10 %
    61 %56 %

    1.57 → 1.57

    X0 %
    25 %20 %

    4.10 → 4.10

    2+2 %
    21 %16 %

    4.80 → 4.90

    LeoVegas · 3 recorded price levels · 25/10/2026 → 27/10/2026 · fixed scale 5 percentage points

    Statistics

    Key facts

    • Palermo come into this round on 4 straight wins.
    • Palermo have scored in 9 consecutive league matches.
    • Palermo win 63% of their home matches all-time (43 played).
    xG & xGA per match — 3-game rolling average

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

    Palermo
    Vicenza
    When goals are scored and conceded — 2026
    Palermo (18–8)
    Vicenza (11–15)
    Pass networks

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

    Palermo
    Tommaso Augello: 292 passningar, xT 0.63AugelloFilippo Ranocchia: 199 passningar, xT 0.96RanocchiaMattia Bani: 173 passningar, xT 0.52BaniPietro Ceccaroni: 168 passningar, xT 0.42CeccaroniTommaso Cassandro: 146 passningar, xT 0.57CassandroAntonio Palumbo: 115 passningar, xT 0.78PalumboJacopo Segre: 92 passningar, xT 0.1SegreMattia Fortin: 87 passningar, xT 0.18FortinDominic Vavassori: 82 passningar, xT 0.19VavassoriDennis Johnsen: 77 passningar, xT 2.04JohnsenMattia Perin: 63 passningar, xT 0.05Perin
    Vicenza
    Nicolo Brighenti: 134 passningar, xT 0.35BrighentiRiccardo Marchizza: 134 passningar, xT 0.36MarchizzaRiccardo Gagno: 119 passningar, xT 0.27GagnoLoris Zonta: 111 passningar, xT 0.32ZontaLorenzo Caferri: 109 passningar, xT 0.27CaferriAlessandro Bellemo: 99 passningar, xT 0.13BellemoMattia Valoti: 90 passningar, xT 0.18ValotiThomas Sandon: 76 passningar, xT 0.45SandonGiuseppe Cuomo: 72 passningar, xT 0.08CuomoTommaso Corazza: 71 passningar, xT 0.4CorazzaAndrea Papetti: 57 passningar, xT 0.42Papetti
    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.

    Palermo
    Tommaso Augello: 292 passningar, xT 0.63AugelloFilippo Ranocchia: 199 passningar, xT 0.96RanocchiaMattia Bani: 173 passningar, xT 0.52BaniPietro Ceccaroni: 168 passningar, xT 0.42CeccaroniTommaso Cassandro: 146 passningar, xT 0.57CassandroAntonio Palumbo: 115 passningar, xT 0.78PalumboJacopo Segre: 92 passningar, xT 0.1SegreMattia Fortin: 87 passningar, xT 0.18FortinDominic Vavassori: 82 passningar, xT 0.19VavassoriDennis Johnsen: 77 passningar, xT 2.04JohnsenMattia Perin: 63 passningar, xT 0.05Perin
    Vicenza
    Nicolo Brighenti: 134 passningar, xT 0.35BrighentiRiccardo Marchizza: 134 passningar, xT 0.36MarchizzaRiccardo Gagno: 119 passningar, xT 0.27GagnoLoris Zonta: 111 passningar, xT 0.32ZontaLorenzo Caferri: 109 passningar, xT 0.27CaferriAlessandro Bellemo: 99 passningar, xT 0.13BellemoMattia Valoti: 90 passningar, xT 0.18ValotiThomas Sandon: 76 passningar, xT 0.45SandonGiuseppe Cuomo: 72 passningar, xT 0.08CuomoTommaso Corazza: 71 passningar, xT 0.4CorazzaAndrea Papetti: 57 passningar, xT 0.42Papetti

    The teams in numbers

    PerformancePalermoVicenza
    Points229
    xPoints14.710.2
    xG per match2.11.3
    xGA per match1.21.4
    xG within 8s of winning the ball0.270.36
    xGA within 8s of losing the ball0.110.18
    Playing stylePalermoVicenza
    Build-up efficiency0.30.31
    Field tilt0.510.44
    xT per match1.41
    xTA per match10.92
    Won balls, offensive half2426
    Pressing intensity0.240.23
    Pressing efficiency0.280.23
    Pressing efficiency, offensive half0.230.19
    Entries into the box per match1311
    Entries into the box against1312
    Pass completion %0.760.74
    Pass completion % under pressure0.710.71
    Passes per match360305
    Passes against per match363365
    Switches of play per match22.725.1
    Long balls per match2833
    Set piecesPalermoVicenza
    xG from free kicks0.010.06
    Corners per match4.36
    Corners against per match5.74.7
    xG per corner0.010.03
    xGA per corner against0.020.04
    First touch, offensive corners %0.430.38
    First touch, defensive corners %0.590.59
    OtherPalermoVicenza
    Throw-in control0.690.66
    The goalkeepersMattia Perin (Palermo)Riccardo Gagno (Vicenza)
    Saves1439
    Save %78%72%
    xG prevented53%46%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Hela spelschemat med svårighetsgrad per match: Palermo spelschemaVicenza spelschema

    Frequently asked questions

    Who wins Palermo vs Vicenza according to our model?

    The model gives Palermo a 74% win probability. Full 1X2 picture: Palermo 74%, draw 15%, Vicenza 11%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 68% and under at 32%.

    Will both teams score?

    The probability of both teams scoring is 53% according to the model.

    How many goals are expected in Palermo vs Vicenza?

    The model expects 2.67 goals (xG) for Palermo and 0.85 for Vicenza, 3.52 in total.

    What does the model say about double chance?

    Palermo or draw (1X) 89%, Vicenza or draw (X2) 26% and no draw (12) 85%.

    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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.