Serie BStadio Romeo Menti, Castellammare di Stabia19°8 km/h

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    Juve StabiaJuve StabiaBalanced & physical
    3–0
    SüdtirolSüdtirolCounter-attacks & crosses
    The model's lean: 1 · Juve Stabia (49%)

    Juve Stabia vs Südtirol · Serie B

    1 · Juve Stabia 49%X 27%24% Südtirol · 2

    Prediction summary

    Final score 3–0. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Juve Stabia vs Südtirol (Serie B, Sunday, 18 October 2026): Juve Stabia win 49%, draw 27%, Südtirol win 24%. Expected goals (xG): Juve Stabia 1.34, Südtirol 1.10. Most likely score: 1-1 (13%). Over 2.5 goals 44%, both teams to score 50%. Double chance: Juve Stabia or draw 76%, Südtirol or draw 51%. Prediction updated Friday, 9 October 2026.

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    Analysis: Juve Stabia – Südtirol

    Marcus Johansson · · Analysis from the match model · How the predictions work

    Südtirol's remarkable unbeaten streak, now at nine league matches, sets a formidable backdrop for their visit to Juve Stabia. Yet, despite their recent solidity, the model sees the hosts as slight favorites, assigning them a 49% chance of victory. This hints at an intriguing clash where styles could dictate the flow. Juve Stabia's balanced and physical approach might just counterbalance Südtirol's penchant for counter-attacks and crosses.

    The head-to-head record, though limited to four matches, slightly favors the hosts with two wins. However, when considering season form, Südtirol holds the upper hand with 12 points compared to Juve Stabia's six. The expected goals also provide a layer of complexity. Juve Stabia's offensive potential, with an xG of 1.34, suggests they might edge out a close contest. Yet, Südtirol's defensive resilience, evident in their lower xGA of 1.1, cannot be overlooked.

    Predictions lean towards a tight affair, with a 1-1 draw as the most likely outcome at 13%, followed by a 1-0 victory for the hosts at 11%. The expected goals further indicate a match likely to see limited scoring opportunities, with a 44% chance of over 2.5 goals and a 50% likelihood for both teams to find the net. This paints a picture of a contest where defenses might prevail over attacking intent.

    For those looking for betting angles, the odds for a Juve Stabia win present potential value. With a 6% edge at odds of 2.15 on LeoVegas, as well as 4% edges at 2.12 with Betsafe and Nordicbet, backing the home side could be a shrewd move. Though not a certainty, the figures suggest a calculated risk on the hosts might yield returns, especially given Südtirol's formidable, yet not insurmountable, streak.

    Juve StabiaJuve Stabia
    Form WLDDD
    League ranking xG #8xGA #9xT #16xP/match #15Points #15
    Key players
    • Davide BettellaCBxG 0.03 · xT 0.08
    • Nicola PietrangeliCBxG 0.00 · xT 0.04
    • Antonio Di NardoFxG 0.50 · xT 0.02
    SüdtirolSüdtirol
    Form DWDWD
    League ranking xG #20xGA #8xT #19xP/match #9Points #4
    Key players
    • Rareş Cătălin BurneteRBxG 0.28 · xT 0.03
    • Simone TronchinCAMxG 0.04 · xT 0.02
    • Fabio RispoliCAMxG 0.11 · xT 0.06
    Final score
    3 – 0
    The model called the outcome
    Predicted probabilities: Juve Stabia 49% · Draw 27% · Südtirol 24%

    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 - SudtirolBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 13,76fair 16,43-16 %
    Miss
    Matchresultat - Juve StabiaBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 7,58fair 11,19-32 %
    Miss

    Match prediction: Juve Stabia – Südtirol

    Predicted score matrix

    Südtirol →
    Juve Stabia →
    0
    1
    2
    3
    4+
    0
    0–09.1%
    0–19.2%
    0–25.3%
    0–31.9%
    0–4+0.7%
    1
    1–011.3%
    1–113.2%
    1–27.1%
    1–32.6%
    1–4+0.9%
    2
    2–07.8%
    2–18.6%
    2–24.7%
    2–31.7%
    2–4+0.6%
    3
    3–03.5%
    3–13.8%
    3–22.1%
    3–30.8%
    3–4+0.3%
    4+
    4+–01.6%
    4+–11.7%
    4+–20.9%
    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. 3.0-19%
    4. 4.0-09%
    5. 5.2-19%
    Expected goals
    1,34–1,10
    Both teams to score
    50%

    Over/under goals

    Expected goals: 2,4
    Under 2,556%
    @1.79EV+0%
    Over 2,544%
    @2.09

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Juve Stabia to win49%
    • Under 3.5 goals77%

    Combined probability

    31%

    Fair odds

    3.20

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

    02 · 3 legs

    Balanced

    • Juve Stabia to win49%
    • Under 2.5 goals56%
    • Leonardo Candellone 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 score50%
    • Over 2.5 goals44%
    • Leonardo Candellone to score26%
    • Andrea Giorgini 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 · Juve Stabia49% probability@2.08PinnacleEV+2%reference odds
    • Under 2.556% probability@1.79PinnacleEV+0%reference odds
    Bookmaker1 · Juve StabiaX2 · Südtirol
    Betsafe2.003.153.65
    LeoVegas2.023.203.65
    Nordicbet2.003.153.65
    Pinnacle
    EV+ 2%
    2.08
    3.353.85

    Odds updated 18 Oct, 13:36

    Odds movement

    1-2 %
    48 %43 %

    2.13 → 2.08

    X+4 %
    32 %27 %

    3.23 → 3.35

    2+6 %
    27 %22 %

    3.64 → 3.85

    Over 2,5-1 %
    48 %43 %

    2.11 → 2.09

    Pinnacle · 7 recorded price levels · 16/10/2026 → 18/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Juve Stabia 2Draw 1Südtirol 1
    Goals: 4–4 (⌀ 2)

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

    Key facts

    • Sudtirol are unbeaten in their last 9 league matches.
    xG & xGA per match — 3-game rolling average

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

    Juve Stabia
    Südtirol
    When goals are scored and conceded — 2026
    Juve Stabia (5–8)
    Südtirol (9–3)
    Pass networks

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

    Juve Stabia
    Marco Bellich: 385 passningar, xT 0.18BellichDavide Bettella: 261 passningar, xT 0.34BettellaNicola Pietrangeli: 156 passningar, xT 0.08PietrangeliTommaso Maggioni: 155 passningar, xT 0.19MaggioniDavide Buglio: 135 passningar, xT -0.06BuglioPietro Boer: 129 passningar, xT -0.03BoerManuel Ricciardi: 120 passningar, xT 0.05RicciardiGiulio Scuderi: 116 passningar, xT 0.35ScuderiChristian Pierobon: 111 passningar, xT 0.02PierobonNermin Karić: 85 passningar, xT 0.09KarićTerrence John Douglas: 79 passningar, xT 0.06Douglas
    Südtirol
    Andrea Giorgini: 282 passningar, xT 0.3GiorginiRiccardo Stivanello: 234 passningar, xT 0.23StivanelloFabio Rispoli: 232 passningar, xT 0.27RispoliSimone Tronchin: 216 passningar, xT 0.13TronchinSalvatore Molina: 204 passningar, xT 0.59MolinaAlessandro Plizzari: 180 passningar, xT 0.07PlizzariGiacomo Stabile: 126 passningar, xT 0.1StabileVasco Rafael Fortes Lopes: 90 passningar, xT 0LopesBjarki Steinn Bjarkason: 76 passningar, xT 0.57BjarkasonDavide Veroli: 71 passningar, xT 0.08VeroliSimone Davi: 59 passningar, xT 0.01Davi
    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.

    Juve Stabia
    Marco Bellich: 385 passningar, xT 0.18BellichDavide Bettella: 261 passningar, xT 0.34BettellaNicola Pietrangeli: 156 passningar, xT 0.08PietrangeliTommaso Maggioni: 155 passningar, xT 0.19MaggioniDavide Buglio: 135 passningar, xT -0.06BuglioPietro Boer: 129 passningar, xT -0.03BoerManuel Ricciardi: 120 passningar, xT 0.05RicciardiGiulio Scuderi: 116 passningar, xT 0.35ScuderiChristian Pierobon: 111 passningar, xT 0.02PierobonNermin Karić: 85 passningar, xT 0.09KarićTerrence John Douglas: 79 passningar, xT 0.06Douglas
    Südtirol
    Andrea Giorgini: 282 passningar, xT 0.3GiorginiRiccardo Stivanello: 234 passningar, xT 0.23StivanelloFabio Rispoli: 232 passningar, xT 0.27RispoliSimone Tronchin: 216 passningar, xT 0.13TronchinSalvatore Molina: 204 passningar, xT 0.59MolinaAlessandro Plizzari: 180 passningar, xT 0.07PlizzariGiacomo Stabile: 126 passningar, xT 0.1StabileVasco Rafael Fortes Lopes: 90 passningar, xT 0LopesBjarki Steinn Bjarkason: 76 passningar, xT 0.57BjarkasonDavide Veroli: 71 passningar, xT 0.08VeroliSimone Davi: 59 passningar, xT 0.01Davi

    The teams in numbers

    PerformanceJuve StabiaSüdtirol
    Points612
    xPoints7.28.3
    xG per match1.20.85
    xGA per match1.21.1
    xG within 8s of winning the ball0.230.17
    xGA within 8s of losing the ball0.240.24
    Playing styleJuve StabiaSüdtirol
    Build-up efficiency0.280.33
    Field tilt0.490.37
    xT per match0.690.52
    xTA per match0.71
    Won balls, offensive half2516
    Pressing intensity0.250.24
    Pressing efficiency0.330.27
    Pressing efficiency, offensive half0.290.24
    Entries into the box per match115
    Entries into the box against1214
    Pass completion %0.790.81
    Pass completion % under pressure0.760.76
    Passes per match405374
    Passes against per match292390
    Switches of play per match23.917.3
    Long balls per match2424
    Set piecesJuve StabiaSüdtirol
    xG from free kicks00.03
    Corners per match5.12.6
    Corners against per match4.37.1
    xG per corner0.030.03
    xGA per corner against0.020.01
    First touch, offensive corners %0.390.31
    First touch, defensive corners %0.620.6
    OtherJuve StabiaSüdtirol
    Throw-in control0.710.7
    The goalkeepersPietro Boer (Juve Stabia)Alessandro Plizzari (Südtirol)
    Saves1719
    Save %68%86%
    xG prevented66%58%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Juve Stabia vs Südtirol according to our model?

    The model gives Juve Stabia a 49% win probability. Full 1X2 picture: Juve Stabia 49%, draw 27%, Südtirol 24%.

    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 44% and under at 56%.

    Will both teams score?

    The probability of both teams scoring is 50% according to the model.

    How many goals are expected in Juve Stabia vs Südtirol?

    The model expects 1.34 goals (xG) for Juve Stabia and 1.10 for Südtirol, 2.44 in total.

    What does the model say about double chance?

    Juve Stabia or draw (1X) 76%, Südtirol or draw (X2) 51% and no draw (12) 73%.

    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.