Serie BStadio Danilo Martelli, Mantova22°9 km/h

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    MantovaMantovaPossession control
    2–2
    PisaPisaBalanced & physical
    The model's lean: 1 · Mantova (43%)

    Mantova vs Pisa · Serie B

    1 · Mantova 43%X 30%27% Pisa · 2

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    Analysis: Mantova – Pisa

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

    A look at the odds shows Mantova as narrow favorites against Pisa with a 43% win probability, which suggests a tight contest. The hosts’ style of possession control might dictate the tempo, but the model's most likely scoreline of 1-1 indicates a balanced affair. Pisa, though less favored, brings a physical edge to the game, creating a compelling clash of strategies.

    Despite Mantova's modest points advantage in the standings, Pisa has the edge in expected goals per match (1.7 vs. 0.99), hinting at their potential to trouble the hosts. However, the home side compensates with a slightly stronger defense, conceding fewer expected goals (0.96 vs. Pisa's 1.0). This dynamic underlines why the model leans towards a narrow win for Mantova, with a 56% chance for over 2.5 goals, suggesting that both teams could find the back of the net.

    It's worth noting the small head-to-head sample since 2023, where Pisa has emerged victorious in both encounters. Yet, Mantova's current form and the expected style of play might tilt the balance. The hosts' ability to maintain possession could frustrate Pisa and limit their offensive opportunities.

    From a betting perspective, the sharpest angle lies in backing the home win, where value appears at odds of 2.65 with Betsafe, Betsson, and Nordicbet. The model's 43% probability provides a 14% edge, making it a sound investment for those who prefer grinding out steady returns. While the game may not dazzle, this edge offers a practical approach to profit.

    MantovaMantova
    Form LWWDW
    League ranking xG #15xGA #4xT #16xP/match #6Points #1
    Key players
    • Rares IlieFxG 0.22 · xT 0.10
    • Francesco RuoccoLWxG 0.24 · xT 0.00
    • Simone TrimboliCMxG 0.03 · xT 0.17
    PisaPisa
    Form DLWWL
    League ranking xG #3xGA #7xT #5xP/match #2Points #11
    Key players
    • Samuele AngoriLWxG 0.07 · xT 0.16
    • Mattéo TramoniLWxG 0.28 · xT 0.38
    • Francesco CoppolaCBxG 0.26 · xT 0.04
    Final score
    2 – 2
    The model missed the outcome
    Predicted probabilities: Mantova 43% · Draw 30% · Pisa 27%

    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 8,71fair 7,48+16 %
    Miss
    Matchresultat - PisaBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 8,46fair 10,54-20 %
    Miss

    Match prediction: Mantova – Pisa

    Predicted score matrix

    Pisa →
    Mantova →
    0
    1
    2
    3
    4+
    0
    0–05.7%
    0–16.8%
    0–24.8%
    0–32.1%
    0–4+1.0%
    1
    1–08.2%
    1–111.7%
    1–27.6%
    1–33.4%
    1–4+1.5%
    2
    2–06.8%
    2–19.0%
    2–26.1%
    2–32.7%
    2–4+1.2%
    3
    3–03.6%
    3–14.8%
    3–23.2%
    3–31.4%
    3–4+0.6%
    4+
    4+–02.0%
    4+–12.7%
    4+–21.8%
    4+–30.8%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-08%
    4. 4.1-28%
    5. 5.0-17%
    Expected goals
    1,59–1,34
    Both teams to score
    59%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @1.87
    Over 2,556%
    @2.01EV+7%

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Mantova or draw (1X)68%
    • Over 1.5 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 Mantova or draw (1X)68%
    • Over 2.5 goals56%
    • Leonardo Mancuso to score26%

    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 goals56%
    • Leonardo Mancuso to score26%
    • Simone Trimboli to be booked19%

    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 · Mantova43% probability@2.75PinnacleEV+18%reference odds
    • Over 2.556% probability@2.01PinnacleEV+13%reference odds
    • 1 · Mantova43% probability@2.62BetsafeEV+12%reference odds
    Bookmaker1 · MantovaX2 · Pisa
    Betsafe
    EV+ 12%
    2.62
    3.152.55
    Betsson
    EV+ 12%
    2.62
    3.152.55
    Nordicbet
    EV+ 12%
    2.62
    3.152.55
    Pinnacle
    EV+ 18%
    2.75
    3.312.70

    Odds updated 20 Sept, 11:35

    Odds movement

    1+1 %
    37 %32 %

    2.71 → 2.75

    X-2 %
    31 %26 %

    3.37 → 3.31

    2+5 %
    39 %34 %

    2.58 → 2.70

    Over 2,5+2 %
    51 %46 %

    1.98 → 2.01

    Pinnacle · 12 recorded price levels · 15/09/2026 → 20/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Mantova 0Draw 0Pisa 2
    Goals: 3–6 (⌀ 4,5)

    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).

    Mantova
    Pisa
    When goals are scored and conceded — 2026
    Mantova (8–3)
    Pisa (6–6)
    Pass networks

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

    Mantova
    Alessio Castellini: 195 passningar, xT 0.46CastelliniStefano Cella: 159 passningar, xT 0.07CellaBodin Tomasevic: 130 passningar, xT 0.2TomasevicFahem Benaissa-Yahia: 130 passningar, xT 0.4Benaissa-YahiaJonathan Silva Pertinhes: 113 passningar, xT 0.11PertinhesLorenzo Ignacchiti: 102 passningar, xT 0.18IgnacchitiRachid Kouda: 92 passningar, xT 0.12KoudaFrancesco Bardi: 88 passningar, xT 0.04BardiFrancesco Ruocco: 83 passningar, xT -0.01RuoccoSimone Trimboli: 68 passningar, xT 0.35TrimboliRares Ilie: 48 passningar, xT 0.24Ilie
    Pisa
    Giuseppe Leone: 169 passningar, xT 0.2LeoneSimone Canestrelli: 138 passningar, xT 0.07CanestrelliOmar Correia: 120 passningar, xT 0.06CorreiaSamuele Angori: 117 passningar, xT 0.4AngoriArturo Calabresi: 110 passningar, xT 0.08CalabresiAlessandro Confente: 106 passningar, xT 0.07ConfenteMehdi Leris: 101 passningar, xT 0.54LerisSimone Zanon: 89 passningar, xT 0.67ZanonRosen Petkov Bozhinov: 81 passningar, xT 0.09BozhinovMattéo Tramoni: 78 passningar, xT 0.98TramoniFrancesco Coppola: 75 passningar, xT 0.06Coppola
    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: 195 passningar, xT 0.46CastelliniStefano Cella: 159 passningar, xT 0.07CellaBodin Tomasevic: 130 passningar, xT 0.2TomasevicFahem Benaissa-Yahia: 130 passningar, xT 0.4Benaissa-YahiaJonathan Silva Pertinhes: 113 passningar, xT 0.11PertinhesLorenzo Ignacchiti: 102 passningar, xT 0.18IgnacchitiRachid Kouda: 92 passningar, xT 0.12KoudaFrancesco Bardi: 88 passningar, xT 0.04BardiFrancesco Ruocco: 83 passningar, xT -0.01RuoccoSimone Trimboli: 68 passningar, xT 0.35TrimboliRares Ilie: 48 passningar, xT 0.24Ilie
    Pisa
    Giuseppe Leone: 169 passningar, xT 0.2LeoneSimone Canestrelli: 138 passningar, xT 0.07CanestrelliOmar Correia: 120 passningar, xT 0.06CorreiaSamuele Angori: 117 passningar, xT 0.4AngoriArturo Calabresi: 110 passningar, xT 0.08CalabresiAlessandro Confente: 106 passningar, xT 0.07ConfenteMehdi Leris: 101 passningar, xT 0.54LerisSimone Zanon: 89 passningar, xT 0.67ZanonRosen Petkov Bozhinov: 81 passningar, xT 0.09BozhinovMattéo Tramoni: 78 passningar, xT 0.98TramoniFrancesco Coppola: 75 passningar, xT 0.06Coppola

    The teams in numbers

    PerformanceMantovaPisa
    Points106
    xPoints6.17.5
    xG per match0.991.7
    xGA per match0.961
    xG within 8s of winning the ball0.410.23
    xGA within 8s of losing the ball0.170.31
    Playing styleMantovaPisa
    Build-up efficiency0.270.3
    Field tilt0.410.56
    xT per match0.651.1
    xTA per match0.820.87
    Won balls, offensive half2630
    Pressing intensity0.250.22
    Pressing efficiency0.290.26
    Pressing efficiency, offensive half0.240.23
    Entries into the box per match1014
    Entries into the box against1213
    Pass completion %0.770.77
    Pass completion % under pressure0.730.72
    Passes per match337373
    Passes against per match408415
    Switches of play per match25.521.1
    Long balls per match3220
    Set piecesMantovaPisa
    xG from free kicks0.150.04
    Corners per match3.85
    Corners against per match5.85
    xG per corner0.010.06
    xGA per corner against0.010.01
    First touch, offensive corners %0.20.45
    First touch, defensive corners %0.480.5
    OtherMantovaPisa
    Throw-in control0.670.66
    The goalkeepersFrancesco Bardi (Mantova)Alessandro Confente (Pisa)
    Saves910
    Save %75%63%
    xG prevented51%45%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Mantova vs Pisa according to our model?

    The model gives Mantova a 43% win probability. Full 1X2 picture: Mantova 43%, draw 30%, Pisa 27%.

    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 56% and under at 44%.

    Will both teams score?

    The probability of both teams scoring is 59% 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.