Serie BArena Garibaldi, Pisa23°13 km/h

    Läs på svenska
    PisaPisaBalanced & physical
    vs
    Virtus EntellaVirtus EntellaPossession & high press
    The model's lean: 1 · Pisa (38%)Best value by the model: 2 · Virtus Entella @ 5.32 (+74 %)

    PisaVirtus Entella · Serie B

    1 · Pisa 38%X 29%33% Virtus Entella · 2

    Analysis: PisaVirtus Entella

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

    Pisa goes into this clash with Virtus Entella holding a slight edge, yet the betting market seems to overlook the visitors' potential for a surprise. While Pisa has shown a stronger form with 6 points compared to Entella’s solitary point, the game could be more balanced than expected. The mathematical model assigns a 38% chance to a Pisa victory and 33% to Entella, highlighting the narrow gap. A 1-1 draw is the most likely outcome at 13%, but don't discount the 0-1 possibility, sitting closely at 10%.

    Pisa's advantage is evident in metrics like xG (1.9 vs 0.94) and xGA (0.76 vs 0.9), suggesting a more potent and defensively sound team. However, Entella's possession and high-press style could disrupt Pisa’s balanced approach. The expected goals indicate a tight contest: Pisa at 1.21 and Entella at 1.17. The chance of over 2.5 goals is modest at just 42%, suggesting a low-scoring encounter, while both teams scoring hovers around 49%.

    Despite Pisa’s statistical edge, there’s significant value in backing Entella at 4.9 odds with Betsafe, Betsson, and Nordicbet. This represents a 60% edge over the model's 33% chance for an away win. While not a guarantee, it’s an angle worth considering for bettors seeking value in the market.

    The game is likely to be closely contested, potentially ending in a draw or a marginal victory for either side. The model leans slightly towards Pisa, but with the odds on Entella offering a substantial edge, savvy punters might find the visitors worth a flutter.

    PisaPisa
    Form LDLWW
    League ranking xG #2xGA #3xT #3xP/match #2Points #5
    Key players
    • Samuele AngoriLWxG 0.09 · xT 0.18
    • Mattéo TramoniLWxG 0.34 · xT 0.38
    • Mehdi LerisLBxG 0.22 · xT 0.21
    Virtus EntellaVirtus Entella
    Form LWLLD
    League ranking xG #15xGA #6xT #5xP/match #15Points #16
    Key players
    • Bernat Guiu VilanovaLWxG 0.16 · xT 0.14
    • Mattia AlborghettiCBxG 0.09 · xT 0.06
    • Andrea TiritielloCBxG 0.08 · xT 0.08

    Match prediction: PisaVirtus Entella

    Predicted score matrix

    Virtus Entella
    Pisa
    0
    1
    2
    3
    4+
    0
    0–09.7%
    0–110.5%
    0–26.3%
    0–32.5%
    0–4+0.9%
    1
    1–010.8%
    1–113.5%
    1–27.7%
    1–33.0%
    1–4+1.1%
    2
    2–06.8%
    2–17.9%
    2–24.6%
    2–31.8%
    2–4+0.7%
    3
    3–02.7%
    3–13.2%
    3–21.9%
    3–30.7%
    3–4+0.3%
    4+
    4+–01.1%
    4+–11.3%
    4+–20.7%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-011%
    3. 3.0-110%
    4. 4.0-010%
    5. 5.2-18%
    Expected goals
    1,211,17
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,4
    Under 2,558%
    @1.62
    Over 2,542%
    @2.35

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Pisa or draw (1X)65%
    • Under 3.5 goals78%

    Combined probability

    51%

    Fair odds

    1.94

    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%
    • Under 2.5 goals58%
    • M'Bala Nzola to score27%

    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 score49%
    • Over 2.5 goals42%
    • Andrea Franzoni to score30%
    • Leonardo Benedetti 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+).

    • 2 · Virtus Entella33% probability@5.32PinnacleEV+74%reference odds
    • 2 · Virtus Entella33% probability@5.10BetsafeEV+67%reference odds
    • 2 · Virtus Entella33% probability@5.10BetssonEV+67%reference odds
    Bookmaker1 · PisaX2 · Virtus Entella
    Betsafe1.703.25
    EV+ 67%
    5.10
    Betsson1.703.25
    EV+ 67%
    5.10
    Nordicbet1.703.25
    EV+ 67%
    5.10
    Pinnacle1.813.30
    EV+ 74%
    5.32

    Odds updated 11 Sept, 05:36

    Odds movement

    1-3 %
    56 %51 %

    1.871.81

    X0 %
    31 %26 %

    3.303.30

    2+14 %
    21 %16 %

    4.675.32

    Over 2,5-1 %
    44 %39 %

    2.372.35

    Pinnacle · 12 recorded price levels · 07/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Pisa
    Virtus Entella
    When goals are scored and conceded 2026
    Pisa (52)
    Virtus Entella (35)
    Pass networks

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

    Pisa
    Giuseppe Leone: 108 passningar, xT 0.16LeoneSimone Canestrelli: 94 passningar, xT 0.03CanestrelliMehdi Leris: 90 passningar, xT 0.51LerisAlessandro Confente: 82 passningar, xT 0.06ConfenteRosen Petkov Bozhinov: 81 passningar, xT 0.09BozhinovSimone Zanon: 74 passningar, xT 0.67ZanonOmar Correia: 72 passningar, xT 0.07CorreiaSamuele Angori: 64 passningar, xT 0.29AngoriArturo Calabresi: 62 passningar, xT 0.06CalabresiMattéo Tramoni: 59 passningar, xT 0.75TramoniAndrea Petagna: 53 passningar, xT -0.1Petagna
    Virtus Entella
    Andrea Tiritiello: 150 passningar, xT 0.21TiritielloLuca Parodi: 140 passningar, xT 0.34ParodiMattia Alborghetti: 136 passningar, xT 0.18AlborghettiNiccolò Squizzato: 135 passningar, xT 0.41SquizzatoStefano Di Mario: 99 passningar, xT 0.96MarioBernat Guiu Vilanova: 73 passningar, xT 0.19VilanovaFederico Del Frate: 64 passningar, xT 0.12FrateLucas Martello Felippe Nascimento: 61 passningar, xT 0.13NascimentoAndrea Franzoni: 53 passningar, xT 0.6FranzoniIvan Marconi: 50 passningar, xT 0.11MarconiLuca Vignali: 37 passningar, xT 0.02Vignali
    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: 108 passningar, xT 0.16LeoneSimone Canestrelli: 94 passningar, xT 0.03CanestrelliMehdi Leris: 90 passningar, xT 0.51LerisAlessandro Confente: 82 passningar, xT 0.06ConfenteRosen Petkov Bozhinov: 81 passningar, xT 0.09BozhinovSimone Zanon: 74 passningar, xT 0.67ZanonOmar Correia: 72 passningar, xT 0.07CorreiaSamuele Angori: 64 passningar, xT 0.29AngoriArturo Calabresi: 62 passningar, xT 0.06CalabresiMattéo Tramoni: 59 passningar, xT 0.75TramoniAndrea Petagna: 53 passningar, xT -0.1Petagna
    Virtus Entella
    Andrea Tiritiello: 150 passningar, xT 0.21TiritielloLuca Parodi: 140 passningar, xT 0.34ParodiMattia Alborghetti: 136 passningar, xT 0.18AlborghettiNiccolò Squizzato: 135 passningar, xT 0.41SquizzatoStefano Di Mario: 99 passningar, xT 0.96MarioBernat Guiu Vilanova: 73 passningar, xT 0.19VilanovaFederico Del Frate: 64 passningar, xT 0.12FrateLucas Martello Felippe Nascimento: 61 passningar, xT 0.13NascimentoAndrea Franzoni: 53 passningar, xT 0.6FranzoniIvan Marconi: 50 passningar, xT 0.11MarconiLuca Vignali: 37 passningar, xT 0.02Vignali

    The teams in numbers

    PerformancePisaVirtus Entella
    Points61
    xPoints6.63.3
    xG per match1.90.94
    xGA per match0.760.9
    xG within 8s of winning the ball0.280.17
    xGA within 8s of losing the ball0.090.28
    Playing stylePisaVirtus Entella
    Build-up efficiency0.30.3
    Field tilt0.560.74
    xT per match1.21.2
    xTA per match10.38
    Won balls, offensive half3232
    Pressing intensity0.220.21
    Pressing efficiency0.30.32
    Pressing efficiency, offensive half0.270.3
    Entries into the box per match1516
    Entries into the box against154
    Pass completion %0.750.78
    Pass completion % under pressure0.70.7
    Passes per match338369
    Passes against per match386300
    Switches of play per match19.531.6
    Long balls per match2136
    Set piecesPisaVirtus Entella
    xG from free kicks0.050.09
    Corners per match4.44.9
    Corners against per match62.3
    xG per corner0.040.02
    xGA per corner against0.010.07
    First touch, offensive corners %0.460.53
    First touch, defensive corners %0.560.86
    OtherPisaVirtus Entella
    Throw-in control0.650.8
    The goalkeepersAlessandro Confente (Pisa)Federico Del Frate (Virtus Entella)
    Saves105
    Save %83%50%
    xG prevented86%28%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Pisa vs Virtus Entella according to our model?

    The model gives Pisa a 38% win probability. Full 1X2 picture: Pisa 38%, draw 29%, Virtus Entella 33%.

    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 49% 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.

    More matches in the league

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