Serie AGewiss Stadium, Bergamo19°4,2 mm6 km/h

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    AtalantaAtalantaBalanced & physical
    vs
    CagliariCagliariBalanced & physical
    The model's lean: 1 · Atalanta (70%)

    AtalantaCagliari · Serie A

    1 · Atalanta 70%X 17%13% Cagliari · 2

    Analysis: AtalantaCagliari

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    The TEXT contains a factual conflict: it claims Atalanta "clearly shine" in expected goals without qualification, but the season-level xG per match stat actually favors Cagliari (0.62 vs 0.84), a fact the text ignores while still asserting an unqualified advantage for Atalanta. Here is the corrected text:

    In their last four encounters since 2021, the hosts have held a slight edge against Cagliari, winning twice, sharing the spoils once, and losing once. However, with such a small sample size, these head-to-head results carry less weight than current form and this match's expected goals model, where Atalanta clearly shine. Atalanta's expected goals for this match, 2.01, dwarfs Cagliari's 0.86, underscoring a significant offensive advantage for the home side in this specific fixture — even though on a season-wide basis, Cagliari actually holds a slight xG-per-match edge (0.84 vs Atalanta's 0.62).

    Atalanta have also managed to earn six points compared to Cagliari's three, demonstrating a consistent ability to translate their chances into results. Despite both teams being categorized as balanced and physical, Atalanta seems to execute this style more effectively. Their defensive numbers further strengthen this impression: Atalanta concede an xGA of 2.3 per match, slightly better than Cagliari's 2.4. Such marginal differences suggest a game likely to be decided by fine margins.

    The model assigns a hefty 70% probability to an Atalanta win, aligning with the most probable scorelines of 2-0 and 1-0, each at 11% likelihood. These figures hint at a narrow but controlled victory for the home team. Coupled with a 55% chance of over 2.5 goals and a 50% chance of both teams finding the net, the undercurrent of the match points to a cautious yet effective performance from the hosts.

    From a betting perspective, Atalanta to win at odds of 1.58 offers a 10% value edge with both Betsson and Nordicbet. If you're looking for something with a bit more risk, the over 3.5 goals at odds of 3.4 with Betsafe presents another 10% edge. Yet, given the lean towards a solid Atalanta display, securing the home win seems the more stable play.

    AtalantaAtalanta
    Form LDWWL
    League ranking xG #20xGA #18xT #18xP/match #20Points #8
    Key players
    • Nikola KrstovićFxG 0.34 · xT -0.01
    • Odilon KossounouCBxG 0.01 · xT 0.06
    • Mario PasalicCMxG 0.00 · xT 0.00
    CagliariCagliari
    Form LWWWL
    League ranking xG #16xGA #19xT #12xP/match #18Points #13
    Key players
    • Alessandro RomanoCMxG 0.08 · xT 0.05
    • Michel AdopoRWxG 0.07 · xT 0.07
    • Adam ObertLBxG 0.05 · xT 0.13

    Match prediction: AtalantaCagliari

    Predicted score matrix

    Cagliari
    Atalanta
    0
    1
    2
    3
    4+
    0
    0–06.0%
    0–14.6%
    0–22.1%
    0–30.6%
    0–4+0.2%
    1
    1–011.1%
    1–110.1%
    1–24.2%
    1–31.2%
    1–4+0.3%
    2
    2–011.4%
    2–19.9%
    2–24.2%
    2–31.2%
    2–4+0.3%
    3
    3–07.6%
    3–16.6%
    3–22.8%
    3–30.8%
    3–4+0.2%
    4+
    4+–06.1%
    4+–15.2%
    4+–22.3%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-011%
    2. 2.1-011%
    3. 3.1-110%
    4. 4.2-110%
    5. 5.3-08%
    Expected goals
    2,010,86
    Both teams to score
    50%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    @1.93
    Over 2,555%
    @1.94EV+5%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Atalanta to win70%
    • Over 1.5 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

    • Atalanta to win70%
    • Over 2.5 goals55%
    • Nikola Krstović to score31%

    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 goals55%
    • Nikola Krstović to score31%
    • Joseph Liteta 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+).

    • 1 · Atalanta70% probability@1.58BetssonEV+10%reference odds
    • 1 · Atalanta70% probability@1.58NordicbetEV+10%reference odds
    • Over 3.532% probability@3.40BetsafeEV+10%reference odds
    Bookmaker1 · AtalantaX2 · Cagliari
    Betsafe
    EV+ 8%
    1.55
    3.856.30
    Betsson
    EV+ 10%
    1.58
    3.906.40
    Nordicbet
    EV+ 10%
    1.58
    3.906.40
    Pinnacle
    EV+ 9%
    1.57
    4.186.05

    Odds updated 8 Sept, 05:16

    Odds movement

    1+3 %
    64 %59 %

    1.531.57

    X+2 %
    26 %21 %

    4.094.18

    2-2 %
    18 %13 %

    6.166.05

    Over 2,5-2 %
    52 %47 %

    1.981.94

    Pinnacle · 5 recorded price levels · 04/09/2026 → 08/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Atalanta 2Draw 1Cagliari 1
    Goals: 54 (⌀ 2,2)

    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).

    Atalanta
    Cagliari
    When goals are scored and conceded 2026
    Atalanta (43)
    Cagliari (11)
    Pass networks

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

    Atalanta
    Odilon Kossounou: 181 passningar, xT 0.22KossounouGiorgio Scalvini: 167 passningar, xT 0.15ScalviniGianluca Gaetano: 125 passningar, xT 0.1GaetanoDavide Zappacosta: 113 passningar, xT 0.41ZappacostaMarco Carnesecchi: 99 passningar, xT 0.07CarnesecchiMario Pasalic: 86 passningar, xT -0.03PasalicÉderson: 78 passningar, xT -0.03ÉdersonSead Kolasinac: 58 passningar, xT 0.1KolasinacRaoul Bellanova: 44 passningar, xT 0.18BellanovaNicola Zalewski: 44 passningar, xT 0.09ZalewskiCharles De Ketelaere: 41 passningar, xT 0.4Ketelaere
    Cagliari
    Juan Rodríguez: 115 passningar, xT 0.12RodríguezAlessandro Romano: 87 passningar, xT 0.04RomanoHarry Winks: 75 passningar, xT 0.1WinksAdam Obert: 71 passningar, xT 0.24ObertAlessandro Deiola: 67 passningar, xT 0.05DeiolaMichel Adopo: 65 passningar, xT 0.08AdopoZé Pedro: 61 passningar, xT 0.28PedroElia Caprile: 58 passningar, xT 0.02CaprileDaniel Maldini: 44 passningar, xT 0.12MaldiniJacopo Fazzini: 37 passningar, xT -0.05FazziniRaphael Kofler: 18 passningar, xT 0Kofler
    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.

    Atalanta
    Odilon Kossounou: 181 passningar, xT 0.22KossounouGiorgio Scalvini: 167 passningar, xT 0.15ScalviniGianluca Gaetano: 125 passningar, xT 0.1GaetanoDavide Zappacosta: 113 passningar, xT 0.41ZappacostaMarco Carnesecchi: 99 passningar, xT 0.07CarnesecchiMario Pasalic: 86 passningar, xT -0.03PasalicÉderson: 78 passningar, xT -0.03ÉdersonSead Kolasinac: 58 passningar, xT 0.1KolasinacRaoul Bellanova: 44 passningar, xT 0.18BellanovaNicola Zalewski: 44 passningar, xT 0.09ZalewskiCharles De Ketelaere: 41 passningar, xT 0.4Ketelaere
    Cagliari
    Juan Rodríguez: 115 passningar, xT 0.12RodríguezAlessandro Romano: 87 passningar, xT 0.04RomanoHarry Winks: 75 passningar, xT 0.1WinksAdam Obert: 71 passningar, xT 0.24ObertAlessandro Deiola: 67 passningar, xT 0.05DeiolaMichel Adopo: 65 passningar, xT 0.08AdopoZé Pedro: 61 passningar, xT 0.28PedroElia Caprile: 58 passningar, xT 0.02CaprileDaniel Maldini: 44 passningar, xT 0.12MaldiniJacopo Fazzini: 37 passningar, xT -0.05FazziniRaphael Kofler: 18 passningar, xT 0Kofler

    The teams in numbers

    PerformanceAtalantaCagliari
    Points63
    xPoints1.71.7
    xG per match0.620.84
    xGA per match2.32.4
    xG within 8s of winning the ball0.070.03
    xGA within 8s of losing the ball0.210.37
    Playing styleAtalantaCagliari
    Build-up efficiency0.330.28
    Field tilt0.330.42
    xT per match0.70.91
    xTA per match1.91.6
    Won balls, offensive half1421
    Pressing intensity0.240.24
    Pressing efficiency0.180.2
    Pressing efficiency, offensive half0.120.2
    Entries into the box per match99
    Entries into the box against2323
    Pass completion %0.810.81
    Pass completion % under pressure0.770.77
    Passes per match398375
    Passes against per match536510
    Switches of play per match25.114.5
    Long balls per match3126
    Set piecesAtalantaCagliari
    xG from free kicks00.05
    Corners per match25
    Corners against per match6.64.5
    xG per corner0.010.03
    xGA per corner against0.040.07
    First touch, offensive corners %0.50.3
    First touch, defensive corners %0.250.44
    OtherAtalantaCagliari
    Throw-in control0.730.58
    The goalkeepersMarco Carnesecchi (Atalanta)Elia Caprile (Cagliari)
    Saves197
    Save %86%88%
    xG prevented78%95%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Atalanta vs Cagliari according to our model?

    The model gives Atalanta a 70% win probability. Full 1X2 picture: Atalanta 70%, draw 17%, Cagliari 13%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 55% and under at 45%.

    Will both teams score?

    The probability of both teams scoring is 50% 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.