Serie AAllianz Stadium, Torino17°6 km/h

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    JuventusJuventusPossession & high press
    vs
    LazioLazioBalanced & physical
    The model's lean: 1 · Juventus (58%)Best value by the model: Over 3,5 @ 3.37 (+1 %)

    Juventus vs Lazio · Serie A

    1 · Juventus 58%X 25%17% Lazio · 2

    Prediction summary

    BetBuilders AI model prediction for Juventus vs Lazio (Serie A, Sunday, 18 October 2026): Juventus win 58%, draw 25%, Lazio win 17%. Expected goals (xG): Juventus 1.81, Lazio 0.95. Most likely score: 1-1 (11%). Over 2.5 goals 52%, both teams to score 51%. Double chance: Juventus or draw 83%, Lazio or draw 42%. Prediction updated Saturday, 10 October 2026.

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    Analysis: Juventus – Lazio

    Sofia Andersson · · The model's read on the match · How the predictions work

    TEXT: A model probability of 58% tips the scales in Juventus's favor, painting them as the more likely victors against Lazio. Despite the stalemate in their small head-to-head sample—one win, two draws, and one loss—current form and expected metrics favor the hosts. With a win expectancy of 56% at home and an expected goals count of 1.81 to Lazio's 0.95, the Bianconeri appear poised to edge past their visitors.

    Lazio might be buoyed by their unbeaten streak in the last five Serie A outings, yet their expected goals against (1.2) and the low xG within eight seconds of winning the ball (0.08) suggest vulnerabilities. Juventus's high press and possession style may exploit these, particularly given their superior xG per match (1.6) and xGA per match (0.56). This clash of styles leans towards a strategic triumph for the Old Lady, potentially limiting Lazio's physical approach.

    The numbers suggest a narrow victory for the home side, with 1-1, 1-0, and 2-0 the most likely scorelines. While the over 2.5 goals is a coin flip at 52%, the sharper angle lies in a Juventus win. Expect the hosts to dictate play and capitalize on their edge.

    JuventusJuventus
    Form WWDLW
    League ranking xG #7xGA #1xT #3xP/match #2Points #6
    Key players
    • Gleison BremerCBxG 0.11 · xT 0.12
    • Manuel LocatelliCMxG 0.17 · xT 0.25
    • Pierre KaluluRWBxG 0.02 · xT 0.17
    LazioLazio
    Form WWWWD
    League ranking xG #13xGA #6xT #12xP/match #8Points #8
    Key players
    • Nuno TavaresLWBxG 0.09 · xT 0.17
    • Mattia ZaccagniLWxG 0.24 · xT 0.26
    • Boulaye DiaFxG 0.00 · xT -0.01

    Match prediction: Juventus – Lazio

    Predicted score matrix

    Lazio →
    Juventus →
    0
    1
    2
    3
    4+
    0
    0–06.7%
    0–15.7%
    0–22.8%
    0–30.9%
    0–4+0.3%
    1
    1–011.2%
    1–111.2%
    1–25.1%
    1–31.6%
    1–4+0.5%
    2
    2–010.4%
    2–19.8%
    2–24.7%
    2–31.5%
    2–4+0.4%
    3
    3–06.3%
    3–16.0%
    3–22.8%
    3–30.9%
    3–4+0.3%
    4+
    4+–04.3%
    4+–14.1%
    4+–21.9%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-011%
    3. 3.2-010%
    4. 4.2-110%
    5. 5.0-07%
    Expected goals
    1,81–0,95
    Both teams to score
    51%

    Over/under goals

    Expected goals: 2,8
    Under 2,548%
    @1.89
    Over 2,552%
    @1.93EV+0%

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Juventus to win58%
    • Over 1.5 goals76%

    Combined probability

    46%

    Fair odds

    2.16

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

    02 · 3 legs

    Balanced

    • Juventus to win58%
    • Over 2.5 goals52%
    • Randal Kolo Muani to score37%

    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 score51%
    • Over 2.5 goals52%
    • Randal Kolo Muani to score37%
    • Danilo Cataldi 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+).

    • Over 3.530% probability@3.37BetsafeEV+1%reference odds
    • Over 3.530% probability@3.37NordicbetEV+1%reference odds
    • Over 2.552% probability@1.93BetsafeEV+0%reference odds
    Bookmaker1 · JuventusX2 · Lazio
    Betsafe1.653.705.35
    LeoVegas1.643.905.00
    Nordicbet1.683.755.40

    Odds updated 10 Oct, 09:39

    Odds movement

    10 %
    59 %54 %

    1.68 → 1.68

    X+3 %
    28 %23 %

    3.65 → 3.75

    2-2 %
    20 %15 %

    5.50 → 5.40

    Over 2,50 %
    52 %47 %

    1.93 → 1.93

    Nordicbet · 2 recorded price levels · 10/10/2026 → 10/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Juventus 1Draw 2Lazio 1
    Goals: 4–4 (⌀ 2)

    Head-to-head based on Serie A data since 2021.

    Key facts

    • Lazio are unbeaten in their last 5 league matches.
    • Juventus win 56% of their home matches all-time (41 played).
    xG & xGA per match — 3-game rolling average

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

    Juventus
    Lazio
    When goals are scored and conceded — 2026
    Juventus (8–4)
    Lazio (6–3)
    Pass networks

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

    Juventus
    Douglas Luiz: 278 passningar, xT 0.08LuizGleison Bremer: 258 passningar, xT 0.59BremerPierre Kalulu: 248 passningar, xT 0.73KaluluJhon Lucumi: 234 passningar, xT 0.27LucumiZeki Celik: 194 passningar, xT 0.53CelikManuel Locatelli: 192 passningar, xT 0.76LocatelliFrancisco Conceicao: 137 passningar, xT 0.79ConceicaoGuglielmo Vicario: 122 passningar, xT 0.03VicarioLloyd Kelly: 92 passningar, xT 0.15KellyTeun Koopmeiners: 86 passningar, xT 0.55KoopmeinersNicolás González: 78 passningar, xT 0.32González
    Lazio
    Oliver Provstgaard: 178 passningar, xT 0.31ProvstgaardKenneth Taylor: 149 passningar, xT 0.28TaylorNuno Tavares: 147 passningar, xT 0.43TavaresRomano Benito Floriani Mussolini: 136 passningar, xT 0.25MussoliniDanilho Raimundo Doekhi: 122 passningar, xT 0.21DoekhiReda Belahyane: 111 passningar, xT 0.15BelahyaneChristos Mandas: 109 passningar, xT 0.07MandasMattia Zaccagni: 106 passningar, xT 0.91ZaccagniNicolò Rovella: 74 passningar, xT 0.04RovellaDavide Frattesi: 64 passningar, xT 0.51FrattesiMatteo Cancellieri: 48 passningar, xT 0.41Cancellieri
    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.

    Juventus
    Douglas Luiz: 278 passningar, xT 0.08LuizGleison Bremer: 258 passningar, xT 0.59BremerPierre Kalulu: 248 passningar, xT 0.73KaluluJhon Lucumi: 234 passningar, xT 0.27LucumiZeki Celik: 194 passningar, xT 0.53CelikManuel Locatelli: 192 passningar, xT 0.76LocatelliFrancisco Conceicao: 137 passningar, xT 0.79ConceicaoGuglielmo Vicario: 122 passningar, xT 0.03VicarioLloyd Kelly: 92 passningar, xT 0.15KellyTeun Koopmeiners: 86 passningar, xT 0.55KoopmeinersNicolás González: 78 passningar, xT 0.32González
    Lazio
    Oliver Provstgaard: 178 passningar, xT 0.31ProvstgaardKenneth Taylor: 149 passningar, xT 0.28TaylorNuno Tavares: 147 passningar, xT 0.43TavaresRomano Benito Floriani Mussolini: 136 passningar, xT 0.25MussoliniDanilho Raimundo Doekhi: 122 passningar, xT 0.21DoekhiReda Belahyane: 111 passningar, xT 0.15BelahyaneChristos Mandas: 109 passningar, xT 0.07MandasMattia Zaccagni: 106 passningar, xT 0.91ZaccagniNicolò Rovella: 74 passningar, xT 0.04RovellaDavide Frattesi: 64 passningar, xT 0.51FrattesiMatteo Cancellieri: 48 passningar, xT 0.41Cancellieri

    The teams in numbers

    PerformanceJuventusLazio
    Points1010
    xPoints9.66
    xG per match1.61.3
    xGA per match0.561.2
    xG within 8s of winning the ball0.390.08
    xGA within 8s of losing the ball0.070.34
    Playing styleJuventusLazio
    Build-up efficiency0.320.3
    Field tilt0.680.59
    xT per match1.30.98
    xTA per match0.551.1
    Won balls, offensive half2719
    Pressing intensity0.230.22
    Pressing efficiency0.270.25
    Pressing efficiency, offensive half0.210.2
    Entries into the box per match169
    Entries into the box against811
    Pass completion %0.830.8
    Pass completion % under pressure0.780.75
    Passes per match460351
    Passes against per match346434
    Switches of play per match31.920.5
    Long balls per match2922
    Set piecesJuventusLazio
    xG from free kicks00
    Corners per match8.64.9
    Corners against per match2.84.2
    xG per corner0.030.03
    xGA per corner against0.020.06
    First touch, offensive corners %0.70.4
    First touch, defensive corners %0.640.24
    OtherJuventusLazio
    Throw-in control0.740.68
    The goalkeepersGuglielmo Vicario (Juventus)Christos Mandas (Lazio)
    Saves916
    Save %69%84%
    xG prevented64%88%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Juventus vs Lazio according to our model?

    The model gives Juventus a 58% win probability. Full 1X2 picture: Juventus 58%, draw 25%, Lazio 17%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 52% and under at 48%.

    Will both teams score?

    The probability of both teams scoring is 51% according to the model.

    How many goals are expected in Juventus vs Lazio?

    The model expects 1.81 goals (xG) for Juventus and 0.95 for Lazio, 2.76 in total.

    What does the model say about double chance?

    Juventus or draw (1X) 83%, Lazio or draw (X2) 42% and no draw (12) 75%.

    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.