Serie B22°6 km/h

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    ArezzoArezzoBalanced & physical
    1–4
    SüdtirolSüdtirolCounter-attacks & crosses
    The model's lean: 2 · Südtirol (38%)

    Arezzo vs Südtirol · Serie B

    1 · Arezzo 33%X 29%38% Südtirol · 2

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    Analysis: Arezzo – Südtirol

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

    In a small sample size of head-to-head encounters, Südtirol hold a slight edge on paper with model probabilities leaning 38% towards the visitors claiming victory against Arezzo's 33%. This narrow margin hints at a well-contested affair, yet Südtirol’s unbeaten streak of seven matches in the league speaks volumes about their consistency. It’s a run that undeniably serves as a psychological boost, positioning them as the team to watch.

    Looking at underlying numbers, the expected goals (xG) tell a nuanced story. While Arezzo marginally outperform Südtirol in xG per match at 1.0 versus 0.72, the visitors compensate with more robust defensive metrics, conceding fewer expected goals against (xGA) at 1.2 compared to Arezzo’s 1.7. This translates into a balanced clash, though the tactical dynamics could play in Südtirol’s favor. Their strength in counter-attacks and crosses might exploit any lapses in Arezzo's physical style.

    As for likely scorelines, a 1-1 draw is projected at 13%, but a narrow 0-1 in Südtirol's favor holds an 11% probability, just a hair above the 10% for a 1-0 home win. The over/under 2.5 goals market points to a cautious approach, with a 43% chance of seeing more than two goals. Both teams to score sits at 49%, suggesting a coin flip in offensive efficacy.

    The standout betting angle lies in the value presented across multiple bookmakers, with odds for a Südtirol win at 3.3 on Betsafe, Betsson, and Nordicbet — a significant 26% edge as per the model’s 38% win probability. If you're looking for potential upside, backing Südtirol could be the judicious choice here.

    ArezzoArezzo
    Form WLLW
    League ranking xG #14xGA #20xT #12xP/match #17Points #10
    Key players
    • Pietro CianciFxG 0.42 · xT 0.03
    • Alessandro ArenaRWxG 0.11 · xT 0.11
    • Artur IoniţăLWxG 0.10 · xT 0.04
    SüdtirolSüdtirol
    Form DWDWD
    League ranking xG #19xGA #11xT #19xP/match #9Points #3
    Key players
    • Aljosa VasicFxG 0.18 · xT -0.01
    • Alvin Obinna Obinna OkoroLWxG 0.46 · xT -0.01
    • Silvio MerkajFxG 0.11 · xT 0.06
    Final score
    1 – 4
    The model called the outcome
    Predicted probabilities: Arezzo 33% · Draw 29% · Südtirol 38%

    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 13,87fair 12,77+9 %
    Hit
    Matchresultat - ArezzoBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 9,76fair 15,45-37 %
    Miss

    Match prediction: Arezzo – Südtirol

    Predicted score matrix

    Südtirol →
    Arezzo →
    0
    1
    2
    3
    4+
    0
    0–09.6%
    0–111.1%
    0–27.2%
    0–33.0%
    0–4+1.2%
    1
    1–010.1%
    1–113.4%
    1–28.2%
    1–33.4%
    1–4+1.4%
    2
    2–05.9%
    2–17.4%
    2–24.6%
    2–31.9%
    2–4+0.8%
    3
    3–02.2%
    3–12.8%
    3–21.8%
    3–30.7%
    3–4+0.3%
    4+
    4+–00.8%
    4+–11.0%
    4+–20.6%
    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. 2.0-111%
    3. 3.1-010%
    4. 4.0-010%
    5. 5.1-28%
    Expected goals
    1,13–1,25
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,4
    Under 2,557%
    @1.52
    Over 2,543%
    @2.32

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Südtirol or draw (X2)67%
    • Under 3.5 goals78%

    Combined probability

    53%

    Fair odds

    1.90

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

    02 · 3 legs

    Balanced

    • Double chance Südtirol or draw (X2)67%
    • Under 2.5 goals57%
    • Silvio Merkaj 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 goals43%
    • Silvio Merkaj to score27%
    • Gennaro Iaccarino 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

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 2 · Südtirol38% probability@3.56PinnacleEV+36%reference odds
    • 2 · Südtirol38% probability@3.20BetsafeEV+22%reference odds
    • 2 · Südtirol38% probability@3.20BetssonEV+22%reference odds
    Bookmaker1 · ArezzoX2 · Südtirol
    Betsafe2.252.95
    EV+ 22%
    3.20
    Betsson2.252.95
    EV+ 22%
    3.20
    Nordicbet2.252.95
    EV+ 22%
    3.20
    Pinnacle2.353.03
    EV+ 36%
    3.56

    Odds updated 20 Sept, 13:36

    Odds movement

    1+4 %
    44 %39 %

    2.25 → 2.35

    X-4 %
    33 %28 %

    3.16 → 3.03

    2+4 %
    30 %25 %

    3.42 → 3.56

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

    Statistics

    Key facts

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

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

    Arezzo
    Südtirol
    When goals are scored and conceded — 2026
    Arezzo (5–9)
    Südtirol (5–2)
    Pass networks

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

    Arezzo
    Matteo Gilli: 174 passningar, xT 0.33GilliSamuele Righetti: 154 passningar, xT 0.92RighettiAlessandro Renzi: 110 passningar, xT 0.27RenziJulian Illanes: 97 passningar, xT 0.12IllanesArtur Ioniţă: 87 passningar, xT 0.14IoniţăGennaro Iaccarino: 84 passningar, xT 0.1IaccarinoAlessandro Nunziante: 79 passningar, xT 0.12NunzianteMauro Coppolaro: 76 passningar, xT 0.22CoppolaroMattia Sala: 64 passningar, xT 0.09SalaCamillo Tavernelli: 64 passningar, xT 0.55TavernelliAlessandro Arena: 44 passningar, xT 0.21Arena
    Südtirol
    Andrea Giorgini: 214 passningar, xT 0.17GiorginiRiccardo Stivanello: 168 passningar, xT 0.28StivanelloSimone Tronchin: 165 passningar, xT 0.06TronchinFabio Rispoli: 159 passningar, xT 0.15RispoliSalvatore Molina: 155 passningar, xT 0.59MolinaAlessandro Plizzari: 146 passningar, xT 0.07PlizzariDavide Veroli: 82 passningar, xT 0.08VeroliBjarki Steinn Bjarkason: 73 passningar, xT 0.42BjarkasonGiacomo Stabile: 69 passningar, xT 0.09StabileVasco Rafael Fortes Lopes: 65 passningar, xT -0.01LopesAljosa Vasic: 44 passningar, xT -0.01Vasic
    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.

    Arezzo
    Matteo Gilli: 174 passningar, xT 0.33GilliSamuele Righetti: 154 passningar, xT 0.92RighettiAlessandro Renzi: 110 passningar, xT 0.27RenziJulian Illanes: 97 passningar, xT 0.12IllanesArtur Ioniţă: 87 passningar, xT 0.14IoniţăGennaro Iaccarino: 84 passningar, xT 0.1IaccarinoAlessandro Nunziante: 79 passningar, xT 0.12NunzianteMauro Coppolaro: 76 passningar, xT 0.22CoppolaroMattia Sala: 64 passningar, xT 0.09SalaCamillo Tavernelli: 64 passningar, xT 0.55TavernelliAlessandro Arena: 44 passningar, xT 0.21Arena
    Südtirol
    Andrea Giorgini: 214 passningar, xT 0.17GiorginiRiccardo Stivanello: 168 passningar, xT 0.28StivanelloSimone Tronchin: 165 passningar, xT 0.06TronchinFabio Rispoli: 159 passningar, xT 0.15RispoliSalvatore Molina: 155 passningar, xT 0.59MolinaAlessandro Plizzari: 146 passningar, xT 0.07PlizzariDavide Veroli: 82 passningar, xT 0.08VeroliBjarki Steinn Bjarkason: 73 passningar, xT 0.42BjarkasonGiacomo Stabile: 69 passningar, xT 0.09StabileVasco Rafael Fortes Lopes: 65 passningar, xT -0.01LopesAljosa Vasic: 44 passningar, xT -0.01Vasic

    The teams in numbers

    PerformanceArezzoSüdtirol
    Points68
    xPoints4.55.4
    xG per match10.72
    xGA per match1.71.2
    xG within 8s of winning the ball0.260.11
    xGA within 8s of losing the ball0.430.28
    Playing styleArezzoSüdtirol
    Build-up efficiency0.310.33
    Field tilt0.380.34
    xT per match0.910.52
    xTA per match1.21.1
    Won balls, offensive half1812
    Pressing intensity0.230.24
    Pressing efficiency0.260.28
    Pressing efficiency, offensive half0.170.26
    Entries into the box per match105
    Entries into the box against1414
    Pass completion %0.760.8
    Pass completion % under pressure0.680.74
    Passes per match298357
    Passes against per match428385
    Switches of play per match38.119.1
    Long balls per match4625
    Set piecesArezzoSüdtirol
    xG from free kicks0.020
    Corners per match3.72.5
    Corners against per match4.27.2
    xG per corner0.020.01
    xGA per corner against00.01
    First touch, offensive corners %0.470.3
    First touch, defensive corners %0.710.62
    OtherArezzoSüdtirol
    Throw-in control0.670.67
    The goalkeepersAlessandro Nunziante (Arezzo)Alessandro Plizzari (Südtirol)
    Saves1215
    Save %57%88%
    xG prevented27%49%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Arezzo vs Südtirol according to our model?

    The model gives Südtirol a 38% win probability. Full 1X2 picture: Arezzo 33%, draw 29%, Südtirol 38%.

    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 43% and under at 57%.

    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.

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