Serie BStadio Druso, Bolzano11°0,6 mm8 km/h

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    SüdtirolSüdtirolCounter-attacks & crosses
    vs
    SampdoriaSampdoriaPossession & high press
    The model's lean: 2 · Sampdoria (37%)Soft draw

    Südtirol vs Sampdoria · Serie B

    1 · Südtirol 33%X 30%37% Sampdoria · 2

    Prediction summary

    BetBuilders AI model prediction for Südtirol vs Sampdoria (Serie B, Saturday, 24 October 2026): Südtirol win 33%, draw 30%, Sampdoria win 37%. Expected goals (xG): Südtirol 1.27, Sampdoria 1.24. Most likely score: 1-1 (13%). Over 2.5 goals 46%, both teams to score 52%. Double chance: Südtirol or draw 63%, Sampdoria or draw 67%. Prediction updated Friday, 16 October 2026.

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    Analysis: Südtirol – Sampdoria

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

    TEXT: Südtirol's counter-attacking flair clashes with Sampdoria's high-press approach in a Serie B match that promises defensive discipline over fireworks. With a narrow edge in model probabilities, Sampdoria is tipped as the slight favorite at 37%, compared to the hosts' 33%. Both teams are expected to control their respective zones, yet the numbers suggest a cagey contest more than an attacking showcase.

    Recent form paints a contrasting picture. Südtirol's 12 points give them a tangible advantage in the standings, though their expected goals per match (0.77) and expected points (8.5) tell a more cautious tale. Their reliance on crosses and counter-attacks might struggle against Sampdoria's possession-heavy strategy, which boasts a superior xG of 1.4 per match. Despite the visitors' poor start in terms of points, accumulating only four, their xPoints suggest they have been unlucky.

    The head-to-head record offers an intriguing subplot. With only four matches since 2023, the sample is small and offers limited insights. Both sides have shared the spoils evenly, with two victories apiece, underlining the unpredictable nature of their recent encounters. However, given the expected goals and playing styles, a 1-1 draw has a 13% probability and aligns with the script of a tightly contested affair.

    For the betting desk, the sharpest angle lies in the over/under market. With the over 2.5 goals probability at 46%, there's a slight lean towards a low-scoring match, matching the 1-1 or narrow 1-0 outcomes favored by the model.

    SüdtirolSüdtirol
    Form WDWDL
    League ranking xG #20xGA #15xT #19xP/match #14Points #5
    Key players
    • Simone TronchinCAMxG 0.03 · xT 0.02
    • Fabio RispoliCAMxG 0.10 · xT 0.06
    • Andrea GiorginiCBxG 0.02 · xT 0.05
    SampdoriaSampdoria
    Form LLWLL
    League ranking xG #6xGA #9xT #4xP/match #10Points #20
    Key players
    • Mattia VitiCBxG 0.00 · xT 0.01
    • Lorenzo InsigneLWxG 0.21 · xT 0.13
    • Liam HendersonCMxG 0.21 · xT 0.13

    Match prediction: Südtirol – Sampdoria

    Predicted score matrix

    Sampdoria →
    Südtirol →
    0
    1
    2
    3
    4+
    0
    0–08.5%
    0–19.7%
    0–26.2%
    0–32.6%
    0–4+1.0%
    1
    1–09.9%
    1–113.2%
    1–27.9%
    1–33.3%
    1–4+1.3%
    2
    2–06.6%
    2–18.1%
    2–25.1%
    2–32.1%
    2–4+0.9%
    3
    3–02.8%
    3–13.5%
    3–22.1%
    3–30.9%
    3–4+0.4%
    4+
    4+–01.2%
    4+–11.5%
    4+–20.9%
    4+–30.4%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-010%
    3. 3.0-110%
    4. 4.0-08%
    5. 5.2-18%
    Expected goals
    1,27–1,24
    Both teams to score
    52%

    Over/under goals

    Expected goals: 2,5
    Under 2,554%
    @1.72
    Over 2,546%
    @2.13

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    01 · 2 legs

    Safe

    • Double chance Sampdoria or draw (X2)63%
    • Under 3.5 goals75%

    Combined probability

    48%

    Fair odds

    2.08

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

    02 · 3 legs

    Balanced

    • Double chance Sampdoria or draw (X2)63%
    • Under 2.5 goals54%
    • Tobias Lauritsen to score25%

    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 score52%
    • Over 2.5 goals46%
    • Lorenzo Anghelè to score34%
    • Salvatore Esposito to be booked21%

    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 · SüdtirolX2 · Sampdoria
    Betsafe2.803.002.52
    LeoVegas2.753.102.50
    Nordicbet2.803.002.52
    Pinnacle2.982.932.66

    Odds updated 22 Oct, 06:37

    Statistics

    Head-to-head

    4 matches
    Südtirol 2Draw 0Sampdoria 2
    Goals: 5–4 (⌀ 2,2)

    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).

    Südtirol
    Sampdoria
    When goals are scored and conceded — 2026
    Südtirol (9–6)
    Sampdoria (7–15)
    Pass networks

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

    Südtirol
    Andrea Giorgini: 238 passningar, xT 0.24GiorginiRiccardo Stivanello: 234 passningar, xT 0.26StivanelloFabio Rispoli: 219 passningar, xT 0.16RispoliSimone Tronchin: 208 passningar, xT 0.11TronchinSalvatore Molina: 205 passningar, xT 0.72MolinaAlessandro Plizzari: 186 passningar, xT 0.08PlizzariGiacomo Stabile: 169 passningar, xT 0.14StabileSimone Davi: 85 passningar, xT 0.02DaviVasco Rafael Fortes Lopes: 83 passningar, xT 0.07LopesBjarki Steinn Bjarkason: 60 passningar, xT 0.47BjarkasonAljosa Vasic: 54 passningar, xT 0.15Vasic
    Sampdoria
    Antoine Makoumbou: 224 passningar, xT 0.31MakoumbouFilippo Delli Carri: 217 passningar, xT 0.64CarriManuel Cicconi: 173 passningar, xT 0.79CicconiStefan Gartenmann: 169 passningar, xT 0.18GartenmannAlessandro Di Pardo: 165 passningar, xT 0.92PardoPeter Vindahl Jensen: 149 passningar, xT 0.35JensenLorenzo Insigne: 144 passningar, xT 0.29InsigneLiam Henderson: 126 passningar, xT 0.67HendersonYari Verschaeren: 122 passningar, xT 0.02VerschaerenLuca Ravanelli: 60 passningar, xT 0.04RavanelliTjas Begic: 54 passningar, xT 0.48Begic
    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.

    Südtirol
    Andrea Giorgini: 238 passningar, xT 0.24GiorginiRiccardo Stivanello: 234 passningar, xT 0.26StivanelloFabio Rispoli: 219 passningar, xT 0.16RispoliSimone Tronchin: 208 passningar, xT 0.11TronchinSalvatore Molina: 205 passningar, xT 0.72MolinaAlessandro Plizzari: 186 passningar, xT 0.08PlizzariGiacomo Stabile: 169 passningar, xT 0.14StabileSimone Davi: 85 passningar, xT 0.02DaviVasco Rafael Fortes Lopes: 83 passningar, xT 0.07LopesBjarki Steinn Bjarkason: 60 passningar, xT 0.47BjarkasonAljosa Vasic: 54 passningar, xT 0.15Vasic
    Sampdoria
    Antoine Makoumbou: 224 passningar, xT 0.31MakoumbouFilippo Delli Carri: 217 passningar, xT 0.64CarriManuel Cicconi: 173 passningar, xT 0.79CicconiStefan Gartenmann: 169 passningar, xT 0.18GartenmannAlessandro Di Pardo: 165 passningar, xT 0.92PardoPeter Vindahl Jensen: 149 passningar, xT 0.35JensenLorenzo Insigne: 144 passningar, xT 0.29InsigneLiam Henderson: 126 passningar, xT 0.67HendersonYari Verschaeren: 122 passningar, xT 0.02VerschaerenLuca Ravanelli: 60 passningar, xT 0.04RavanelliTjas Begic: 54 passningar, xT 0.48Begic

    The teams in numbers

    PerformanceSüdtirolSampdoria
    Points124
    xPoints8.59.9
    xG per match0.771.4
    xGA per match1.31.1
    xG within 8s of winning the ball0.150.31
    xGA within 8s of losing the ball0.280.21
    Playing styleSüdtirolSampdoria
    Build-up efficiency0.320.3
    Field tilt0.370.64
    xT per match0.481.1
    xTA per match0.990.78
    Won balls, offensive half1630
    Pressing intensity0.240.22
    Pressing efficiency0.270.27
    Pressing efficiency, offensive half0.230.24
    Entries into the box per match516
    Entries into the box against1310
    Pass completion %0.810.76
    Pass completion % under pressure0.750.7
    Passes per match374372
    Passes against per match387372
    Switches of play per match18.623.3
    Long balls per match2526
    Set piecesSüdtirolSampdoria
    xG from free kicks0.030.04
    Corners per match2.76.2
    Corners against per match6.43.3
    xG per corner0.020.01
    xGA per corner against0.010.02
    First touch, offensive corners %0.320.43
    First touch, defensive corners %0.60.61
    OtherSüdtirolSampdoria
    Throw-in control0.70.78
    The goalkeepersAlessandro Plizzari (Südtirol)Peter Vindahl Jensen (Sampdoria)
    Saves2515
    Save %81%52%
    xG prevented55%33%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Südtirol vs Sampdoria according to our model?

    The model gives Sampdoria a 37% win probability. Full 1X2 picture: Südtirol 33%, draw 30%, Sampdoria 37%.

    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 46% and under at 54%.

    Will both teams score?

    The probability of both teams scoring is 52% according to the model.

    How many goals are expected in Südtirol vs Sampdoria?

    The model expects 1.27 goals (xG) for Südtirol and 1.24 for Sampdoria, 2.52 in total.

    What does the model say about double chance?

    Südtirol or draw (1X) 63%, Sampdoria or draw (X2) 67% 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.