Serie AUnipol Domus, Cagliari18°23 km/h

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    CagliariCagliariLow block & direct
    vs
    BolognaBolognaBalanced & physical
    The model's lean: 2 · Bologna (46%)

    Cagliari vs Bologna · Serie A

    1 · Cagliari 25%X 29%46% Bologna · 2

    Prediction summary

    BetBuilders AI model prediction for Cagliari vs Bologna (Serie A, Saturday, 24 October 2026): Cagliari win 25%, draw 29%, Bologna win 46%. Expected goals (xG): Cagliari 1.07, Bologna 1.34. Most likely score: 1-1 (13%). Over 2.5 goals 43%, both teams to score 49%. Double chance: Cagliari or draw 54%, Bologna or draw 75%. Prediction updated Saturday, 17 October 2026.

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    Analysis: Cagliari – Bologna

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    Bologna enters the clash with Cagliari boasting favorable odds and a solid historical edge. The visitors have dominated recent head-to-heads, winning three of the last four encounters. Yet, Cagliari's home advantage has translated into a better points tally this season, signaling a potential for unpredictability. However, Bologna's xPoints of 11.4, compared to Cagliari's 8.7, suggest that the visitors have been the more effective side when it comes to generating quality chances.

    Expect a match shaped by contrasting styles: Cagliari's low defensive setup aims to frustrate, while Bologna's balanced, physical approach could crack open defenses. With an expected goals count of 1.34 for Bologna against Cagliari's 1.07, the visitors are slightly more likely to find the back of the net. The tight spread in the most likely scorelines—1-1 at 13% and 0-1 at 12%—indicates a close, possibly cagey affair. Both teams are just shy of a coin flip for both scoring, pegged at 49%.

    The over/under 2.5 goals market leans slightly towards under, at 57%, which aligns with the structured nature of Cagliari's defensive tactics and Bologna's preference for a measured game. While Cagliari has a slight points lead, Bologna's superior xG and xGA figures make them the more convincing side in terms of longer-term form and quality metrics.

    For bettors hunting value, Bologna's odds on the away win at 2.5 with LeoVegas stand out, given a model rating of 46% (a 14% edge). With a clear analytical lean toward the visitors, this represents a strategic opportunity to capitalize on what appears to be a market inefficiency.

    CagliariCagliari
    Form WWWDL
    League ranking xG #18xGA #13xT #17xP/match #14Points #7
    Key players
    • Alessandro RomanoCMxG 0.06 · xT 0.04
    • Yerry MinaCBxG 0.06 · xT 0.05
    • Paul MendyFxG 0.27 · xT 0.07
    BolognaBologna
    Form DLDWL
    League ranking xG #12xGA #6xT #18xP/match #6Points #15
    Key players
    • Lewis FergusonCMxG 0.08 · xT 0.14
    • Nicolò CasaleCBxG 0.00 · xT 0.01
    • Riccardo OrsoliniRWxG 0.07 · xT 0.21

    Match prediction: Cagliari – Bologna

    Predicted score matrix

    Bologna →
    Cagliari →
    0
    1
    2
    3
    4+
    0
    0–09.4%
    0–111.6%
    0–28.0%
    0–33.6%
    0–4+1.6%
    1
    1–09.3%
    1–113.3%
    1–28.6%
    1–33.8%
    1–4+1.7%
    2
    2–05.2%
    2–16.9%
    2–24.6%
    2–32.1%
    2–4+0.9%
    3
    3–01.8%
    3–12.5%
    3–21.7%
    3–30.7%
    3–4+0.3%
    4+
    4+–00.6%
    4+–10.8%
    4+–20.6%
    4+–30.2%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-112%
    3. 3.0-09%
    4. 4.1-09%
    5. 5.1-29%
    Expected goals
    1,07–1,34
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,4
    Under 2,557%
    @1.70
    Over 2,543%
    @2.27

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Bologna to win46%
    • Under 3.5 goals78%

    Combined probability

    32%

    Fair odds

    3.14

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

    02 · 3 legs

    Balanced

    • Bologna to win46%
    • Under 2.5 goals57%
    • Roberto Piccoli to score16%

    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%
    • Paul Mendy to score31%
    • Torbjørn Lysaker Heggem 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+).

    • 2 · Bologna46% probability@2.53PinnacleEV+15%reference odds
    • 2 · Bologna46% probability@2.50LeoVegasEV+14%reference odds
    • 2 · Bologna46% probability@2.42BetsafeEV+10%reference odds
    Bookmaker1 · CagliariX2 · Bologna
    Betsafe3.153.05
    EV+ 10%
    2.42
    LeoVegas2.953.10
    EV+ 14%
    2.50
    Nordicbet3.153.05
    EV+ 10%
    2.42
    Pinnacle3.292.96
    EV+ 15%
    2.53

    Odds updated 22 Oct, 06:54

    Statistics

    Head-to-head

    4 matches
    Cagliari 0Draw 1Bologna 3
    Goals: 1–6 (⌀ 1,8)

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

    xG & xGA per match — 3-game rolling average

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

    Cagliari
    Bologna
    When goals are scored and conceded — 2026
    Cagliari (6–7)
    Bologna (6–10)
    Pass networks

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

    Cagliari
    Harry Winks: 225 passningar, xT 0.18WinksJuan Rodríguez: 169 passningar, xT 0.04RodríguezAlessandro Romano: 160 passningar, xT 0.08RomanoAdam Obert: 141 passningar, xT 0.13ObertElia Caprile: 140 passningar, xT 0.19CaprileMichel Adopo: 139 passningar, xT 0.29AdopoZé Pedro: 135 passningar, xT 0.31PedroYerry Mina: 117 passningar, xT 0.13MinaAlessandro Deiola: 110 passningar, xT 0.64DeiolaDaniel Maldini: 89 passningar, xT 0.16MaldiniPaul Mendy: 57 passningar, xT 0.14Mendy
    Bologna
    Lewis Ferguson: 295 passningar, xT 0.43FergusonTorbjørn Heggem: 161 passningar, xT 0HeggemArthur Nicolas Theate: 158 passningar, xT 0.12TheateJuan Miranda: 152 passningar, xT 0.51MirandaFederico Bernardeschi: 111 passningar, xT 0.49BernardeschiTommaso Pobega: 97 passningar, xT 0.08PobegaEmil Holm: 88 passningar, xT 0.06HolmNicolò Cambiaghi: 85 passningar, xT 0.21CambiaghiLukasz Skorupski: 65 passningar, xT 0.01SkorupskiNikola Moro: 59 passningar, xT 0.18MoroNadir Zortea: 58 passningar, xT 0.29Zortea
    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.

    Cagliari
    Harry Winks: 225 passningar, xT 0.18WinksJuan Rodríguez: 169 passningar, xT 0.04RodríguezAlessandro Romano: 160 passningar, xT 0.08RomanoAdam Obert: 141 passningar, xT 0.13ObertElia Caprile: 140 passningar, xT 0.19CaprileMichel Adopo: 139 passningar, xT 0.29AdopoZé Pedro: 135 passningar, xT 0.31PedroYerry Mina: 117 passningar, xT 0.13MinaAlessandro Deiola: 110 passningar, xT 0.64DeiolaDaniel Maldini: 89 passningar, xT 0.16MaldiniPaul Mendy: 57 passningar, xT 0.14Mendy
    Bologna
    Lewis Ferguson: 295 passningar, xT 0.43FergusonTorbjørn Heggem: 161 passningar, xT 0HeggemArthur Nicolas Theate: 158 passningar, xT 0.12TheateJuan Miranda: 152 passningar, xT 0.51MirandaFederico Bernardeschi: 111 passningar, xT 0.49BernardeschiTommaso Pobega: 97 passningar, xT 0.08PobegaEmil Holm: 88 passningar, xT 0.06HolmNicolò Cambiaghi: 85 passningar, xT 0.21CambiaghiLukasz Skorupski: 65 passningar, xT 0.01SkorupskiNikola Moro: 59 passningar, xT 0.18MoroNadir Zortea: 58 passningar, xT 0.29Zortea

    The teams in numbers

    PerformanceCagliariBologna
    Points135
    xPoints8.711.4
    xG per match0.991.4
    xGA per match1.61.2
    xG within 8s of winning the ball0.140.36
    xGA within 8s of losing the ball0.220.13
    Playing styleCagliariBologna
    Build-up efficiency0.270.29
    Field tilt0.260.44
    xT per match0.80.8
    xTA per match1.61.1
    Won balls, offensive half1816
    Pressing intensity0.250.23
    Pressing efficiency0.220.24
    Pressing efficiency, offensive half0.160.21
    Entries into the box per match99
    Entries into the box against2115
    Pass completion %0.790.81
    Pass completion % under pressure0.760.76
    Passes per match350385
    Passes against per match545402
    Switches of play per match17.328.9
    Long balls per match2732
    Set piecesCagliariBologna
    xG from free kicks0.040
    Corners per match43.7
    Corners against per match6.36.5
    xG per corner0.030.06
    xGA per corner against0.030.02
    First touch, offensive corners %0.430.62
    First touch, defensive corners %0.570.4
    OtherCagliariBologna
    Throw-in control0.640.67
    The goalkeepersElia Caprile (Cagliari)Lukasz Skorupski (Bologna)
    Saves3015
    Save %81%65%
    xG prevented75%50%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Cagliari vs Bologna according to our model?

    The model gives Bologna a 46% win probability. Full 1X2 picture: Cagliari 25%, draw 29%, Bologna 46%.

    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 Cagliari vs Bologna?

    The model expects 1.07 goals (xG) for Cagliari and 1.34 for Bologna, 2.41 in total.

    What does the model say about double chance?

    Cagliari or draw (1X) 54%, Bologna or draw (X2) 75% and no draw (12) 71%.

    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.