Serie AU-Power Stadium, Monza16°5 km/h

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    MonzaMonzaLow block & direct
    vs
    CagliariCagliariLow block & direct
    The model's lean: 1 · Monza (42%)Best value by the model: 2 · Cagliari @ 3.42 (+5 %)

    Monza vs Cagliari · Serie A

    1 · Monza 42%X 27%31% Cagliari · 2

    Prediction summary

    BetBuilders AI model prediction for Monza vs Cagliari (Serie A, Sunday, 18 October 2026): Monza win 42%, draw 27%, Cagliari win 31%. Expected goals (xG): Monza 1.40, Cagliari 1.02. Most likely score: 1-1 (13%). Over 2.5 goals 43%, both teams to score 49%. Double chance: Monza or draw 69%, Cagliari or draw 58%. Prediction updated Saturday, 10 October 2026.

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    Analysis: Monza – Cagliari

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

    TEXT: Monza's current campaign hinges on their ability to translate expected goals into actual results, a task that has proven elusive. Despite boasting an impressive xG of 1.8 per match compared to Cagliari's 0.92, the hosts find themselves trailing in actual points. Their direct playing style has yielded only 4 points so far, a stark contrast to the 12 points amassed by their visitors. This disparity highlights a critical question: Can Monza finally align their underlying performance metrics with tangible outcomes against a Cagliari side riding high on a three-game winning streak?

    Cagliari's edge in points belies a less convincing statistical picture. While they have been effective in converting opportunities into victories, their xPoints sit at a modest 6.1, substantially lower than Monza's 8.5. This suggests that the Sardinians have been punching above their weight, perhaps aided by clinical finishing or fortuitous circumstances. Their head-to-head record against Monza, albeit based on a small sample of just two games, stands perfect. Yet, these past encounters weigh less in forecasting tomorrow's clash than the current form and statistical nuances.

    The model assigns Monza a 42% probability of victory, suggesting a lean towards the home side, though it pegs a 1-1 draw as the most likely scoreline at 13%. A marginally less probable 1-0 win for Monza at 12% underscores a tight encounter on the cards. The expected goals tally suggests a low-scoring affair, with both sides profiling as direct yet defensively lax units. With the over 2.5 goals market sitting at just 43%, this match is unlikely to evolve into a high-scoring spectacle.

    For bettors seeking value, Cagliari's recent form and head-to-head advantage might seem enticing, but the xG data and model lean towards Monza as the favorites worth considering. Particularly intriguing is the 1-0 scoreline at 12%, offering a compelling balance of probability and payout. While not a guarantee, betting on Monza to edge out a narrow victory presents a calculated risk given the available odds.

    MonzaMonza
    Form LLDLW
    League ranking xG #4xGA #8xT #8xP/match #4Points #16
    Key players
    • Gustavo Miguel Pereira de Sousa VarelaFxG 0.62 · xT 0.04
    • Samuele BirindelliLWxG 0.06 · xT 0.21
    • Jay Steven RobinsonLWxG 0.28 · xT 0.13
    CagliariCagliari
    Form WLWWW
    League ranking xG #16xGA #14xT #18xP/match #13Points #3
    Key players
    • Adam ObertLWBxG 0.03 · xT 0.08
    • Alessandro RomanoCMxG 0.06 · xT 0.01
    • Michel AdopoRWxG 0.04 · xT 0.07

    Match prediction: Monza – Cagliari

    Predicted score matrix

    Cagliari →
    Monza →
    0
    1
    2
    3
    4+
    0
    0–09.3%
    0–18.7%
    0–24.6%
    0–31.6%
    0–4+0.5%
    1
    1–012.1%
    1–113.1%
    1–26.5%
    1–32.2%
    1–4+0.7%
    2
    2–08.7%
    2–18.9%
    2–24.5%
    2–31.5%
    2–4+0.5%
    3
    3–04.0%
    3–14.1%
    3–22.1%
    3–30.7%
    3–4+0.2%
    4+
    4+–01.9%
    4+–12.0%
    4+–21.0%
    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. 2.1-012%
    3. 3.0-09%
    4. 4.2-19%
    5. 5.0-19%
    Expected goals
    1,40–1,02
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,4
    Under 2,557%
    @1.81EV+2%
    Over 2,543%
    @2.05

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Double chance Monza or draw (1X)73%
    • Under 3.5 goals78%

    Combined probability

    56%

    Fair odds

    1.78

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

    02 · 3 legs

    Balanced

    • Double chance Monza or draw (1X)73%
    • Under 2.5 goals57%
    • Gustavo Miguel Pereira de Sousa Varela to score19%

    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%
    • Gennaro Borrelli to score21%
    • Michael Ijemuan Folorunsho to be booked20%

    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 · Cagliari31% probability@3.42PinnacleEV+5%reference odds
    • Under 2.557% probability@1.81BetsafeEV+2%reference odds
    • Under 2.557% probability@1.81NordicbetEV+2%reference odds
    Bookmaker1 · MonzaX2 · Cagliari
    Betsafe2.283.203.25
    Nordicbet2.283.25
    EV+ 1%
    3.30
    Pinnacle2.243.17
    EV+ 5%
    3.42

    Odds updated 10 Oct, 09:39

    Statistics

    Head-to-head

    2 matches
    Monza 0Draw 0Cagliari 2
    Goals: 1–5 (⌀ 3)

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

    Key facts

    • Cagliari come into this round on 3 straight wins.
    xG & xGA per match — 3-game rolling average

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

    Monza
    Cagliari
    When goals are scored and conceded — 2026
    Monza (8–12)
    Cagliari (5–2)
    Pass networks

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

    Monza
    Andrea Carboni: 210 passningar, xT 0.54CarboniLorenzo Lucchesi: 188 passningar, xT 0.11LucchesiEddy Kouadio: 175 passningar, xT 0.49KouadioEbenezer Akinsanmiro: 142 passningar, xT 0.42AkinsanmiroSamuele Birindelli: 133 passningar, xT 0.92BirindelliMichael Folorunsho: 133 passningar, xT 0.33FolorunshoRicardo Luís Chaby Mangas: 114 passningar, xT 0.75MangasDemba Thiam: 67 passningar, xT 0.13ThiamAndrea Colpani: 52 passningar, xT -0.04ColpaniMathis Mout: 51 passningar, xT 0.14MoutAdam Bakoune: 48 passningar, xT 0.05Bakoune
    Cagliari
    Harry Winks: 212 passningar, xT 0.24WinksJuan Rodríguez: 208 passningar, xT 0.13RodríguezAlessandro Romano: 192 passningar, xT -0.04RomanoAdam Obert: 159 passningar, xT 0.33ObertAlessandro Deiola: 158 passningar, xT 0.23DeiolaZé Pedro: 145 passningar, xT 0.53PedroElia Caprile: 142 passningar, xT 0.07CaprileMichel Adopo: 140 passningar, xT 0.27AdopoDaniel Maldini: 96 passningar, xT 0.27MaldiniJacopo Fazzini: 78 passningar, xT -0.04FazziniPaul Mendy: 40 passningar, xT 0.01Mendy
    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.

    Monza
    Andrea Carboni: 210 passningar, xT 0.54CarboniLorenzo Lucchesi: 188 passningar, xT 0.11LucchesiEddy Kouadio: 175 passningar, xT 0.49KouadioEbenezer Akinsanmiro: 142 passningar, xT 0.42AkinsanmiroSamuele Birindelli: 133 passningar, xT 0.92BirindelliMichael Folorunsho: 133 passningar, xT 0.33FolorunshoRicardo Luís Chaby Mangas: 114 passningar, xT 0.75MangasDemba Thiam: 67 passningar, xT 0.13ThiamAndrea Colpani: 52 passningar, xT -0.04ColpaniMathis Mout: 51 passningar, xT 0.14MoutAdam Bakoune: 48 passningar, xT 0.05Bakoune
    Cagliari
    Harry Winks: 212 passningar, xT 0.24WinksJuan Rodríguez: 208 passningar, xT 0.13RodríguezAlessandro Romano: 192 passningar, xT -0.04RomanoAdam Obert: 159 passningar, xT 0.33ObertAlessandro Deiola: 158 passningar, xT 0.23DeiolaZé Pedro: 145 passningar, xT 0.53PedroElia Caprile: 142 passningar, xT 0.07CaprileMichel Adopo: 140 passningar, xT 0.27AdopoDaniel Maldini: 96 passningar, xT 0.27MaldiniJacopo Fazzini: 78 passningar, xT -0.04FazziniPaul Mendy: 40 passningar, xT 0.01Mendy

    The teams in numbers

    PerformanceMonzaCagliari
    Points412
    xPoints8.56.1
    xG per match1.80.92
    xGA per match1.41.8
    xG within 8s of winning the ball0.140.11
    xGA within 8s of losing the ball0.230.23
    Playing styleMonzaCagliari
    Build-up efficiency0.290.28
    Field tilt0.530.29
    xT per match1.10.65
    xTA per match11.5
    Won balls, offensive half2618
    Pressing intensity0.210.25
    Pressing efficiency0.250.22
    Pressing efficiency, offensive half0.20.16
    Entries into the box per match128
    Entries into the box against1421
    Pass completion %0.760.79
    Pass completion % under pressure0.680.76
    Passes per match331344
    Passes against per match407532
    Switches of play per match26.516.2
    Long balls per match3325
    Set piecesMonzaCagliari
    xG from free kicks0.060.02
    Corners per match4.54
    Corners against per match4.26.6
    xG per corner0.020.03
    xGA per corner against0.050.03
    First touch, offensive corners %0.410.3
    First touch, defensive corners %0.430.58
    OtherMonzaCagliari
    Throw-in control0.760.61
    The goalkeepersNoel Max Joachim Törnqvist (Monza)Elia Caprile (Cagliari)
    Saves719
    Save %88%91%
    xG prevented91%95%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Monza vs Cagliari according to our model?

    The model gives Monza a 42% win probability. Full 1X2 picture: Monza 42%, draw 27%, Cagliari 31%.

    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.

    How many goals are expected in Monza vs Cagliari?

    The model expects 1.40 goals (xG) for Monza and 1.02 for Cagliari, 2.42 in total.

    What does the model say about double chance?

    Monza or draw (1X) 69%, Cagliari or draw (X2) 58% 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.