Serie BStadio Danilo Martelli, Mantova17°8 km/h

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    MantovaMantovaPossession control
    0–2
    PalermoPalermoCounter-attacks & crosses
    The model's lean: 2 · Palermo (36%)Best value by the model: 1 · Mantova @ 3.54 (+19 %)

    Mantova vs Palermo · Serie B

    1 · Mantova 34%X 30%36% Palermo · 2

    Prediction summary

    Final score 0–2. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Mantova vs Palermo (Serie B, Saturday, 17 October 2026): Mantova win 34%, draw 30%, Palermo win 36%. Expected goals (xG): Mantova 1.39, Palermo 1.52. Most likely score: 1-1 (12%). Over 2.5 goals 55%, both teams to score 59%. Double chance: Mantova or draw 64%, Palermo or draw 66%. Prediction updated Friday, 9 October 2026.

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    Analysis: Mantova – Palermo

    Anna Karlsson · · A data-driven preview · How the predictions work

    TEXT: A clash of contrasting styles awaits as possession-focused Mantova hosts counter-attacking Palermo. The tension lies in how Mantova's methodical build-up will fare against Palermo's swift transitions and aerial prowess. Despite Mantova's unbeaten streak in their last six league matches, Palermo holds a narrow edge in both points and expected goals metrics, hinting at their potential to spoil the hosts' run.

    The model suggests a razor-thin margin between the teams, with Palermo slightly favored at 36% probability of winning compared to Mantova's 34%. This delicately poised scenario is reflected in the most likely scorelines, where 1-1 emerges as the front-runner at 12%, followed by 1-2 at 9% and 2-1 at 8%. Both teams to score seems a strong possibility, with a 59% chance, indicating moments of vulnerability in defense despite solid recent form.

    Palermo's attacking efficiency, marked by an impressive xG of 2.0 per match, often finds its counterpart in Mantova's defensive resilience, bolstered by a slightly better xGA. Yet, the visitors' slight supremacy in xPoints and a modest head-to-head edge—just one win in four meetings, with three draws and one loss for Mantova—suggest they might edge the encounter.

    For bettors, the most intriguing angle is the value on Mantova at odds 3.15 with Betsafe, LeoVegas, and Nordicbet. The model rates the home win probability at 34%, offering a 6% edge—an opportunity for those willing to back the underdog in a finely balanced contest.

    MantovaMantova
    Form WDWDW
    League ranking xG #6xGA #10xT #11xP/match #6Points #2
    Key players
    • Francesco RuoccoLWxG 0.31 · xT 0.10
    • Simone TrimboliCMxG 0.03 · xT 0.17
    • Alessio CastelliniCBxG 0.10 · xT 0.18
    PalermoPalermo
    Form WWDWW
    League ranking xG #2xGA #12xT #3xP/match #3Points #1
    Key players
    • Filippo RanocchiaCDMxG 0.10 · xT 0.19
    • Pietro CeccaroniCBxG 0.00 · xT 0.11
    • Antonio PalumboRWxG 0.21 · xT 0.27
    Final score
    0 – 2
    The model called the outcome
    Predicted probabilities: Mantova 34% · Draw 30% · Palermo 36%

    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 - MantovaBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 8,62fair 9,80-12 %
    Miss
    Matchresultat - PalermoBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,89fair 8,18-28 %
    Miss

    Match prediction: Mantova – Palermo

    Predicted score matrix

    Palermo →
    Mantova →
    0
    1
    2
    3
    4+
    0
    0–05.8%
    0–18.0%
    0–26.3%
    0–33.2%
    0–4+1.7%
    1
    1–07.3%
    1–111.9%
    1–28.8%
    1–34.4%
    1–4+2.4%
    2
    2–05.3%
    2–18.0%
    2–26.1%
    2–33.1%
    2–4+1.6%
    3
    3–02.4%
    3–13.7%
    3–22.8%
    3–31.4%
    3–4+0.8%
    4+
    4+–01.1%
    4+–11.7%
    4+–21.3%
    4+–30.7%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.2-18%
    4. 4.0-18%
    5. 5.1-07%
    Expected goals
    1,39–1,52
    Both teams to score
    59%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    @2.19
    Over 2,555%
    @1.72

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Palermo or draw (X2)66%
    • Over 1.5 goals79%

    Combined probability

    52%

    Fair odds

    1.93

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

    02 · 3 legs

    Balanced

    • Double chance Palermo or draw (X2)66%
    • Over 2.5 goals55%
    • Dominic Vavassori to score23%

    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 score59%
    • Over 2.5 goals55%
    • Francesco Ruocco to score25%
    • Nahuel Estévez Álvarez 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+).

    • 1 · Mantova34% probability@3.54PinnacleEV+19%reference odds
    • 1 · Mantova34% probability@3.15BetsafeEV+6%reference odds
    • 1 · Mantova34% probability@3.15LeoVegasEV+6%reference odds
    Bookmaker1 · MantovaX2 · Palermo
    Betsafe
    EV+ 6%
    3.15
    EV+ 0%
    3.30
    2.12
    LeoVegas
    EV+ 6%
    3.15
    EV+ 2%
    3.35
    2.15
    Nordicbet
    EV+ 6%
    3.15
    EV+ 0%
    3.30
    2.12
    Pinnacle
    EV+ 19%
    3.54
    EV+ 3%
    3.37
    2.18

    Odds updated 17 Oct, 11:37

    Odds movement

    1+3 %
    30 %25 %

    3.44 → 3.54

    X+3 %
    31 %26 %

    3.26 → 3.37

    20 %
    46 %41 %

    2.19 → 2.18

    Over 2,50 %
    58 %53 %

    1.73 → 1.72

    Pinnacle · 6 recorded price levels · 15/10/2026 → 17/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Mantova 0Draw 3Palermo 1
    Goals: 4–5 (⌀ 2,2)

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

    Key facts

    • Mantova 1911 are unbeaten in their last 6 league matches.
    • Palermo are unbeaten in their last 7 league matches.
    xG & xGA per match — 3-game rolling average

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

    Mantova
    Palermo
    When goals are scored and conceded — 2026
    Mantova (13–6)
    Palermo (14–7)
    Pass networks

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

    Mantova
    Alessio Castellini: 241 passningar, xT 0.83CastelliniBodin Tomasevic: 180 passningar, xT 0.2TomasevicStefano Cella: 177 passningar, xT 0.09CellaRachid Kouda: 175 passningar, xT 0.32KoudaFahem Benaissa-Yahia: 172 passningar, xT 0.36Benaissa-YahiaJonathan Silva Pertinhes: 150 passningar, xT 0.11PertinhesLorenzo Ignacchiti: 146 passningar, xT 0.23IgnacchitiFrancesco Bardi: 114 passningar, xT 0.07BardiFrancesco Ruocco: 91 passningar, xT 0.26RuoccoRares Ilie: 63 passningar, xT 0.35IlieDavide Bragantini: 42 passningar, xT 0.35Bragantini
    Palermo
    Tommaso Augello: 267 passningar, xT 0.73AugelloPietro Ceccaroni: 244 passningar, xT 0.52CeccaroniMattia Bani: 243 passningar, xT 0.5BaniFilippo Ranocchia: 235 passningar, xT 0.69RanocchiaTommaso Cassandro: 112 passningar, xT 0.44CassandroAntonio Palumbo: 105 passningar, xT 0.87PalumboJacopo Segre: 99 passningar, xT 0.25SegreMattia Fortin: 87 passningar, xT 0.18FortinNahuel Estévez Álvarez: 78 passningar, xT 0.03ÁlvarezDominic Vavassori: 72 passningar, xT 0.11VavassoriMattia Perin: 71 passningar, xT 0.05Perin
    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.

    Mantova
    Alessio Castellini: 241 passningar, xT 0.83CastelliniBodin Tomasevic: 180 passningar, xT 0.2TomasevicStefano Cella: 177 passningar, xT 0.09CellaRachid Kouda: 175 passningar, xT 0.32KoudaFahem Benaissa-Yahia: 172 passningar, xT 0.36Benaissa-YahiaJonathan Silva Pertinhes: 150 passningar, xT 0.11PertinhesLorenzo Ignacchiti: 146 passningar, xT 0.23IgnacchitiFrancesco Bardi: 114 passningar, xT 0.07BardiFrancesco Ruocco: 91 passningar, xT 0.26RuoccoRares Ilie: 63 passningar, xT 0.35IlieDavide Bragantini: 42 passningar, xT 0.35Bragantini
    Palermo
    Tommaso Augello: 267 passningar, xT 0.73AugelloPietro Ceccaroni: 244 passningar, xT 0.52CeccaroniMattia Bani: 243 passningar, xT 0.5BaniFilippo Ranocchia: 235 passningar, xT 0.69RanocchiaTommaso Cassandro: 112 passningar, xT 0.44CassandroAntonio Palumbo: 105 passningar, xT 0.87PalumboJacopo Segre: 99 passningar, xT 0.25SegreMattia Fortin: 87 passningar, xT 0.18FortinNahuel Estévez Álvarez: 78 passningar, xT 0.03ÁlvarezDominic Vavassori: 72 passningar, xT 0.11VavassoriMattia Perin: 71 passningar, xT 0.05Perin

    The teams in numbers

    PerformanceMantovaPalermo
    Points1416
    xPoints8.510.5
    xG per match1.32
    xGA per match1.21.3
    xG within 8s of winning the ball0.480.21
    xGA within 8s of losing the ball0.140.1
    Playing styleMantovaPalermo
    Build-up efficiency0.270.3
    Field tilt0.470.54
    xT per match0.951.2
    xTA per match0.91
    Won balls, offensive half2825
    Pressing intensity0.240.25
    Pressing efficiency0.30.28
    Pressing efficiency, offensive half0.260.23
    Entries into the box per match1213
    Entries into the box against1111
    Pass completion %0.760.77
    Pass completion % under pressure0.720.71
    Passes per match346376
    Passes against per match366335
    Switches of play per match26.125
    Long balls per match3229
    Set piecesMantovaPalermo
    xG from free kicks0.10.01
    Corners per match4.34.4
    Corners against per match5.55.9
    xG per corner0.040.02
    xGA per corner against0.020.02
    First touch, offensive corners %0.310.48
    First touch, defensive corners %0.550.53
    OtherMantovaPalermo
    Throw-in control0.70.69
    The goalkeepersFrancesco Bardi (Mantova)Mattia Fortin (Palermo)
    Saves1512
    Save %71%75%
    xG prevented53%42%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Mantova vs Palermo according to our model?

    The model gives Palermo a 36% win probability. Full 1X2 picture: Mantova 34%, draw 30%, Palermo 36%.

    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 59% according to the model.

    How many goals are expected in Mantova vs Palermo?

    The model expects 1.39 goals (xG) for Mantova and 1.52 for Palermo, 2.90 in total.

    What does the model say about double chance?

    Mantova or draw (1X) 64%, Palermo or draw (X2) 66% and no draw (12) 70%.

    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.