Serie AGewiss Stadium, Bergamo25°10 km/h

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    AtalantaAtalantaBalanced & physical
    10
    BolognaBolognaBalanced & physical
    The model's lean: 1 · Atalanta (54%)

    AtalantaBologna · Serie A

    1 · Atalanta 54%X 25%22% Bologna · 2

    Analysis: AtalantaBologna

    Marcus Johansson · · Analysis from the match model · How the predictions work

    The odds favor Atalanta with a 54% model probability of winning, but the underlying metrics tell a more nuanced story. Despite the hosts' historical advantage with two wins in their last four encounters against Bologna, the visitors have consistently outperformed in expected goals (xG) and expected points (xPoints) per match since 2021. Bologna's impressive xG of 2.1 per match dwarfs Atalanta's 0.88, a significant indicator of their ability to create quality chances, even if these haven’t always translated into actual points.

    Atalanta's physical and balanced approach might find its match in Bologna's equally robust style, suggesting a tightly contested affair. The expected goals lean slightly toward the home team, with Atalanta at 1.61 compared to Bologna's 1.04, hinting at a potential edge in finishing ability. However, Bologna's stingy defense, with an xGA of just 0.59, could frustrate Atalanta's attacking ambitions, making any breakthrough hard-earned.

    The most likely scoreline, according to the model, is a 1-1 draw at 12%, closely followed by a narrow 1-0 victory for Atalanta at 11%. This suggests a low-scoring game, though the probability for both teams to score stands at 52%. These probabilities align with a cautious outlook on the over/under 2.5 goals market, which is evenly split at 49%. Given the tactical setups and defensive strengths, leaning toward the under could be prudent.

    From a betting perspective, there's a slight value in backing Atalanta to win with odds of 1.9 available at Betsafe, Betsson, and Nordicbet. The 2% edge in value (EV+) makes it a calculated risk, even as the metrics suggest Bologna could challenge the hosts more than the odds imply. The decisive factor may well be Atalanta's ability to capitalize on their scoring chances against Bologna's stout defense.

    AtalantaAtalanta
    Form DWLDW
    League ranking xG #13xGA #18xT #10xP/match #19Points #6
    Key players
    • Nikola KrstovićFxG 0.66 · xT 0.05
    • Lorenzo BernasconiLWBxG 0.01 · xT 0.17
    • Marten De RoonCMxG 0.04 · xT 0.11
    BolognaBologna
    Form DWWDL
    League ranking xG #5xGA #3xT #4xP/match #3Points #16
    Key players
    • Eivind HellandCBxG 0.16 · xT 0.08
    • Jens OdgaardCAMxG 0.69 · xT 0.01
    • Lewis FergusonCMxG 0.46 · xT 0.38
    Final score
    10
    The model called the outcome
    Predicted probabilities: Atalanta 54% · Draw 25% · Bologna 22%

    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 - AtalantaBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,64fair 7,86-15 %
    Miss
    Matchresultat - BolognaBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 13,80fair 18,46-25 %
    Miss

    Match prediction: AtalantaBologna

    Predicted score matrix

    Bologna
    Atalanta
    0
    1
    2
    3
    4+
    0
    0–07.4%
    0–17.0%
    0–23.8%
    0–31.3%
    0–4+0.4%
    1
    1–011.0%
    1–112.2%
    1–26.2%
    1–32.1%
    1–4+0.7%
    2
    2–09.1%
    2–19.5%
    2–25.0%
    2–31.7%
    2–4+0.6%
    3
    3–04.9%
    3–15.1%
    3–22.7%
    3–30.9%
    3–4+0.3%
    4+
    4+–02.8%
    4+–12.9%
    4+–21.5%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-011%
    3. 3.2-110%
    4. 4.2-09%
    5. 5.0-07%
    Expected goals
    1,611,04
    Both teams to score
    52%

    Over/under goals

    Expected goals: 2,6
    Under 2,551%
    @1.93
    Over 2,549%
    @1.95

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Atalanta to win54%
    • Under 3.5 goals73%

    Combined probability

    35%

    Fair odds

    2.89

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

    02 · 3 legs

    Balanced

    • Atalanta to win54%
    • Under 2.5 goals51%
    • Nikola Krstović to score34%

    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 score52%
    • Over 2.5 goals49%
    • Nikola Krstović to score34%
    • Nikola Moro 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+).

    • 1 · Atalanta54% probability@1.94PinnacleEV+4%reference odds
    • 1 · Atalanta54% probability@1.90BetsafeEV+2%reference odds
    • 1 · Atalanta54% probability@1.90BetssonEV+2%reference odds
    Bookmaker1 · AtalantaX2 · Bologna
    Betsafe
    EV+ 2%
    1.90
    3.504.10
    Betsson
    EV+ 2%
    1.90
    3.504.15
    Nordicbet
    EV+ 2%
    1.90
    3.504.15
    Pinnacle
    EV+ 4%
    1.94
    3.644.07

    Odds updated 31 Aug, 11:35

    Odds movement

    Market signal

    The market has moved clearly towards under 2.5 goals since 24 August — the odds have shortened from 2.08 to 1.93 (−7%).

    1+4 %
    53 %48 %

    1.861.94

    X-4 %
    28 %23 %

    3.793.64

    20 %
    26 %21 %

    4.084.07

    Over 2,5+10 %
    54 %49 %

    1.781.95

    Pinnacle · 14 recorded price levels · 24/08/2026 → 31/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Atalanta 2Draw 1Bologna 1
    Goals: 52 (⌀ 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).

    Atalanta
    Bologna
    When goals are scored and conceded 2026
    Atalanta (21)
    Bologna (01)
    Pass networks

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

    Atalanta
    Giorgio Scalvini: 91 passningar, xT 0.1ScalviniOdilon Kossounou: 88 passningar, xT 0.09KossounouDavide Zappacosta: 60 passningar, xT 0.34ZappacostaGianluca Gaetano: 60 passningar, xT 0.05GaetanoMario Pasalic: 35 passningar, xT -0.07PasalicÉderson: 32 passningar, xT -0.03ÉdersonMarco Carnesecchi: 31 passningar, xT 0.01CarnesecchiNicola Zalewski: 27 passningar, xT 0.09ZalewskiLorenzo Bernasconi: 26 passningar, xT 0.03BernasconiGianluca Scamacca: 21 passningar, xT 0.09ScamaccaGiacomo Raspadori: 16 passningar, xT 0.11Raspadori
    Bologna
    Lewis Ferguson: 74 passningar, xT 0.39FergusonEivind Helland: 63 passningar, xT 0.08HellandTorbjørn Heggem: 63 passningar, xT 0.1HeggemOussama El Azzouzi: 49 passningar, xT 0.01AzzouziJuan Miranda: 37 passningar, xT 0.18MirandaNadir Zortea: 24 passningar, xT 0.05ZorteaLukasz Skorupski: 21 passningar, xT -0.01SkorupskiJens Odgaard: 18 passningar, xT 0.01OdgaardFederico Bernardeschi: 12 passningar, xT 0.19BernardeschiNicolò Cambiaghi: 11 passningar, xT -0.06CambiaghiMikel Amondarain: 11 passningar, xT -0.02Amondarain
    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
    Giorgio Scalvini: 91 passningar, xT 0.1ScalviniOdilon Kossounou: 88 passningar, xT 0.09KossounouDavide Zappacosta: 60 passningar, xT 0.34ZappacostaGianluca Gaetano: 60 passningar, xT 0.05GaetanoMario Pasalic: 35 passningar, xT -0.07PasalicÉderson: 32 passningar, xT -0.03ÉdersonMarco Carnesecchi: 31 passningar, xT 0.01CarnesecchiNicola Zalewski: 27 passningar, xT 0.09ZalewskiLorenzo Bernasconi: 26 passningar, xT 0.03BernasconiGianluca Scamacca: 21 passningar, xT 0.09ScamaccaGiacomo Raspadori: 16 passningar, xT 0.11Raspadori
    Bologna
    Lewis Ferguson: 74 passningar, xT 0.39FergusonEivind Helland: 63 passningar, xT 0.08HellandTorbjørn Heggem: 63 passningar, xT 0.1HeggemOussama El Azzouzi: 49 passningar, xT 0.01AzzouziJuan Miranda: 37 passningar, xT 0.18MirandaNadir Zortea: 24 passningar, xT 0.05ZorteaLukasz Skorupski: 21 passningar, xT -0.01SkorupskiJens Odgaard: 18 passningar, xT 0.01OdgaardFederico Bernardeschi: 12 passningar, xT 0.19BernardeschiNicolò Cambiaghi: 11 passningar, xT -0.06CambiaghiMikel Amondarain: 11 passningar, xT -0.02Amondarain

    The teams in numbers

    PerformanceAtalantaBologna
    Points30
    xPoints0.52.1
    xG per match0.882.1
    xGA per match2.30.59
    xG within 8s of winning the ball0.131.3
    xGA within 8s of losing the ball0.390.03
    Playing styleAtalantaBologna
    Build-up efficiency0.330.29
    Field tilt0.460.54
    xT per match11.3
    xTA per match1.20.59
    Won balls, offensive half1314
    Pressing intensity0.230.2
    Pressing efficiency0.170.2
    Pressing efficiency, offensive half0.110.17
    Entries into the box per match911
    Entries into the box against137
    Pass completion %0.860.83
    Pass completion % under pressure0.830.74
    Passes per match551390
    Passes against per match429255
    Switches of play per match31.626.8
    Long balls per match3225
    Set piecesAtalantaBologna
    xG from free kicks00
    Corners per match4.17.7
    Corners against per match4.15.8
    xG per corner0.010.05
    xGA per corner against0.080.01
    First touch, offensive corners %0.250.75
    First touch, defensive corners %0.250.5
    OtherAtalantaBologna
    Throw-in control0.790.57
    The goalkeepersMarco Carnesecchi (Atalanta)Lukasz Skorupski (Bologna)
    Saves72
    Save %88%67%
    xG prevented51%39%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Atalanta vs Bologna according to our model?

    The model gives Atalanta a 54% win probability. Full 1X2 picture: Atalanta 54%, draw 25%, Bologna 22%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 49% and under at 51%.

    Will both teams score?

    The probability of both teams scoring is 52% 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.