Serie AStadio Renato Dall'Ara, Bologna21°0,6 mm8 km/h

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    BolognaBolognaBalanced & physical
    vs
    TorinoTorinoLow block & direct
    The model's lean: 1 · Bologna (56%)

    Bologna vs Torino · Serie A

    1 · Bologna 56%X 26%17% Torino · 2

    Analysis: BolognaTorino

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

    TEXT (corrected):

    Four matches between these sides since 2021 tell a story of Bologna's dominance, yet the sample is small and not the whole tale. The hosts have won three times and drawn once, suggesting they know how to handle this opponent. However, those head-to-head stats weigh less than the current form and expected goals, where Bologna again holds the upper hand. Their expected goals per match stand at 1.9, significantly higher than Torino's 0.9. This advantage is underlined by a defensive edge, with Bologna's expected goals against per match sitting at 0.74 compared to Torino's 2.0.

    Despite Torino's better points tally so far this season, Bologna's underlying numbers suggest the visitors might be punching above their weight. The hosts' expected points are 5.7, comfortably outstripping Torino's 2.4. This disparity points to a potential correction in results, with Bologna likely to capitalize on their efficient performances. The model reflects this, giving Bologna a 56% chance of victory, and the most probable scorelines—1-0 and 1-1—emphasize a tight encounter.

    Rain could play a role in suppressing goals, already accounted for in the model's projections. With a 43% probability for over 2.5 goals and a 47% chance of both teams finding the net, the numbers lean towards a low-scoring affair. The hosts are expected to break through Torino's defense at least once, but the visitors' direct play style may struggle to breach Bologna's robust setup.

    Given the model's 56% probability for a home victory, Bologna appear the stronger side on current underlying numbers. In a match with likely few goals, a 1-0 or 2-0 result for Bologna seems the sharp play.

    BolognaBologna
    Form WDLLD
    League ranking xG #3xGA #3xT #8xP/match #3Points #15
    Key players
    • Lewis FergusonCDMxG 0.18 · xT 0.27
    • Eivind HellandCBxG 0.08 · xT 0.06
    • Federico BernardeschiRWxG 0.15 · xT 0.29
    TorinoTorino
    Form LDLLW
    League ranking xG #17xGA #18xT #16xP/match #19Points #13
    Key players
    • Rolando MandragoraCDMxG 0.13 · xT 0.11
    • Che AdamsFxG 0.33 · xT 0.02
    • Saúl CocoCBxG 0.07 · xT 0.06

    Match prediction: BolognaTorino

    Predicted score matrix

    Torino
    Bologna
    0
    1
    2
    3
    4+
    0
    0–09.3%
    0–17.9%
    0–23.8%
    0–31.2%
    0–4+0.3%
    1
    1–013.0%
    1–112.7%
    1–25.7%
    1–31.7%
    1–4+0.5%
    2
    2–010.0%
    2–19.2%
    2–24.2%
    2–31.3%
    2–4+0.4%
    3
    3–05.0%
    3–14.6%
    3–22.1%
    3–30.6%
    3–4+0.2%
    4+
    4+–02.6%
    4+–12.4%
    4+–21.1%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-013%
    2. 2.1-113%
    3. 3.2-010%
    4. 4.0-09%
    5. 5.2-19%
    Expected goals
    1,490,92
    Both teams to score
    47%

    Over/under goals

    Expected goals: 2,4
    Under 2,557%
    @1.83EV+3%
    Over 2,543%
    @2.01

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Bologna to win56%
    • Under 3.5 goals78%

    Combined probability

    37%

    Fair odds

    2.70

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

    02 · 3 legs

    Balanced

    • Bologna to win56%
    • Under 2.5 goals57%
    • Santiago Thomas Castro to score38%

    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 score47%
    • Over 2.5 goals43%
    • Santiago Thomas Castro to score38%
    • Kristjan Asllani 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 · Bologna56% probability@1.90BetsafeEV+7%reference odds
    • 1 · Bologna56% probability@1.90BetssonEV+7%reference odds
    • 1 · Bologna56% probability@1.90NordicbetEV+7%reference odds
    Bookmaker1 · BolognaX2 · Torino
    Betsafe
    EV+ 7%
    1.90
    3.504.10
    Betsson
    EV+ 7%
    1.90
    3.504.15
    Nordicbet
    EV+ 7%
    1.90
    3.504.15
    Pinnacle
    EV+ 6%
    1.88
    3.564.14

    Odds updated 11 Sept, 05:38

    Statistics

    Head-to-head

    4 matches
    Bologna 3Draw 1Torino 0
    Goals: 73 (⌀ 2,5)

    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).

    Bologna
    Torino
    When goals are scored and conceded 2026
    Bologna (24)
    Torino (45)
    Pass networks

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

    Bologna
    Lewis Ferguson: 295 passningar, xT 0.76FergusonTorbjørn Heggem: 259 passningar, xT 0.15HeggemEivind Helland: 152 passningar, xT 0.14HellandEmil Holm: 105 passningar, xT 0.04HolmFederico Bernardeschi: 95 passningar, xT 0.67BernardeschiAbdel Rahim Alhassane Bonkano: 91 passningar, xT 0.06BonkanoNicolò Cambiaghi: 65 passningar, xT 0.14CambiaghiTommaso Pobega: 65 passningar, xT 0.01PobegaJuan Miranda: 65 passningar, xT 0.4MirandaLukasz Skorupski: 64 passningar, xT 0SkorupskiArthur Nicolas Theate: 60 passningar, xT 0.05Theate
    Torino
    Saúl Coco: 162 passningar, xT 0.15CocoEray Ervin Cömert: 157 passningar, xT 0.26CömertPietro Comuzzo: 137 passningar, xT 0.18ComuzzoKian Franklin Fitz-Jim: 128 passningar, xT 0.38Fitz-JimArdian Ismajli: 96 passningar, xT 0.07IsmajliNiccolò Fortini: 83 passningar, xT 0.08FortiniNikola Vlašić: 82 passningar, xT -0.08VlašićRolando Mandragora: 74 passningar, xT 0.09MandragoraAlessio Cacciamani: 70 passningar, xT 0.14CacciamaniDiego Mascardi: 57 passningar, xT -0.01MascardiGvidas Gineitis: 56 passningar, xT 0.13Gineitis
    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.

    Bologna
    Lewis Ferguson: 295 passningar, xT 0.76FergusonTorbjørn Heggem: 259 passningar, xT 0.15HeggemEivind Helland: 152 passningar, xT 0.14HellandEmil Holm: 105 passningar, xT 0.04HolmFederico Bernardeschi: 95 passningar, xT 0.67BernardeschiAbdel Rahim Alhassane Bonkano: 91 passningar, xT 0.06BonkanoNicolò Cambiaghi: 65 passningar, xT 0.14CambiaghiTommaso Pobega: 65 passningar, xT 0.01PobegaJuan Miranda: 65 passningar, xT 0.4MirandaLukasz Skorupski: 64 passningar, xT 0SkorupskiArthur Nicolas Theate: 60 passningar, xT 0.05Theate
    Torino
    Saúl Coco: 162 passningar, xT 0.15CocoEray Ervin Cömert: 157 passningar, xT 0.26CömertPietro Comuzzo: 137 passningar, xT 0.18ComuzzoKian Franklin Fitz-Jim: 128 passningar, xT 0.38Fitz-JimArdian Ismajli: 96 passningar, xT 0.07IsmajliNiccolò Fortini: 83 passningar, xT 0.08FortiniNikola Vlašić: 82 passningar, xT -0.08VlašićRolando Mandragora: 74 passningar, xT 0.09MandragoraAlessio Cacciamani: 70 passningar, xT 0.14CacciamaniDiego Mascardi: 57 passningar, xT -0.01MascardiGvidas Gineitis: 56 passningar, xT 0.13Gineitis

    The teams in numbers

    PerformanceBolognaTorino
    Points13
    xPoints5.72.4
    xG per match1.90.9
    xGA per match0.742
    xG within 8s of winning the ball0.530.26
    xGA within 8s of losing the ball0.090.36
    Playing styleBolognaTorino
    Build-up efficiency0.30.33
    Field tilt0.60.38
    xT per match1.10.74
    xTA per match0.541.1
    Won balls, offensive half1719
    Pressing intensity0.240.25
    Pressing efficiency0.250.23
    Pressing efficiency, offensive half0.210.24
    Entries into the box per match137
    Entries into the box against1017
    Pass completion %0.860.82
    Pass completion % under pressure0.810.75
    Passes per match512433
    Passes against per match325404
    Switches of play per match31.714.5
    Long balls per match2621
    Set piecesBolognaTorino
    xG from free kicks00.08
    Corners per match6.63.4
    Corners against per match4.63.7
    xG per corner0.030
    xGA per corner against0.010.01
    First touch, offensive corners %0.650.1
    First touch, defensive corners %0.430.55
    OtherBolognaTorino
    Throw-in control0.730.72
    The goalkeepersLukasz Skorupski (Bologna)Diego Mascardi (Torino)
    Saves87
    Save %67%64%
    xG prevented67%65%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Bologna vs Torino according to our model?

    The model gives Bologna a 56% win probability. Full 1X2 picture: Bologna 56%, draw 26%, Torino 17%.

    What is the most likely scoreline?

    The model's most likely final score is 1-0 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 47% 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.