Serie AStadio Luigi Ferraris, Genova25°9 km/h

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    GenoaGenoaBalanced & physical
    vs
    ComoComoPossession control
    The model's lean: 2 · Como (56%)

    GenoaComo · Serie A

    1 · Genoa 18%X 26%56% Como · 2

    Analysis: GenoaComo

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

    TEXT: In this clash, the stark contrast in recent performances sets the stage. Genoa, grappling with a three-match losing streak, are desperate for redemption on home turf, yet their woes are compounded by a challenging head-to-head history against Como since 2021: no wins in four encounters. These numbers, though from a limited sample, highlight Genoa's struggle to assert dominance over their visitors. Meanwhile, Como arrives buoyed by a six-match unbeaten run, showcasing a resilient side with a knack for possession control.

    Como's tactical approach shines through in the expected goals (xG) metrics. With an xG of 1.54 compared to Genoa's 0.88, the visitors not only create more opportunities but also capitalize on their ability to control the game. This superiority is reflected further in Como's xG per match of 1.6, significantly outpacing Genoa's 0.72. The statistics underline the model's favoring of Como to secure a win, assigning them a 56% probability compared to Genoa's 18%.

    The match's outcome leans towards a low-scoring affair. The most likely scorelines, 0-1 (13%) and 1-1 (12%), coupled with the over/under 2.5 goals probability of just 43%, suggest that fans shouldn't expect a flurry of goals. Both teams are predicted to score in only 46% of scenarios, further hinting at a tight defensive battle rather than a free-flowing contest.

    For those looking to place their bets, the model's confidence in a Como win presents a compelling case for the visitors to continue their unbeaten streak. As the numbers suggest, Como is poised to edge past a struggling Genoa side, potentially by a 0-1 margin.

    GenoaGenoa
    Form DDLLL
    League ranking xG #18xGA #6xT #20xP/match #6Points #16
    Key players
    • Aaron MartinLWxG 0.03 · xT 0.14
    • Ruslan MalinovskyiCMxG 0.18 · xT 0.11
    • Leo OstigardCBxG 0.14 · xT 0.06
    ComoComo
    Form DWWWD
    League ranking xG #7xGA #10xT #19xP/match #12Points #13
    Key players
    • Jacobo RamonCBxG 0.00 · xT 0.09
    • Luis MillaCAMxG 0.00 · xT 0.06
    • Trevoh ChalobahCBxG 0.06 · xT 0.04

    Match prediction: GenoaComo

    Predicted score matrix

    Como
    Genoa
    0
    1
    2
    3
    4+
    0
    0–09.3%
    0–113.4%
    0–210.6%
    0–35.4%
    0–4+2.9%
    1
    1–07.5%
    1–112.4%
    1–29.3%
    1–34.8%
    1–4+2.6%
    2
    2–03.4%
    2–15.3%
    2–24.1%
    2–32.1%
    2–4+1.1%
    3
    3–01.0%
    3–11.6%
    3–21.2%
    3–30.6%
    3–4+0.3%
    4+
    4+–00.3%
    4+–10.4%
    4+–20.3%
    4+–30.2%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.0-113%
    2. 2.1-112%
    3. 3.0-211%
    4. 4.0-09%
    5. 5.1-29%
    Expected goals
    0,881,54
    Both teams to score
    46%

    Over/under goals

    Expected goals: 2,4
    Under 2,557%
    @1.65
    Over 2,543%
    @2.32EV+1%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Como to win56%
    • Under 3.5 goals78%

    Combined probability

    39%

    Fair odds

    2.59

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

    02 · 3 legs

    Balanced

    • Como to win56%
    • Under 2.5 goals57%
    • Anastasios Douvikas to score33%

    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 score46%
    • Over 2.5 goals43%
    • Anastasios Douvikas to score33%
    • Patrizio Masini 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+).

    • 2 · Como56% probability@1.83PinnacleEV+2%reference odds
    • 2 · Como56% probability@1.82BetsafeEV+1%reference odds
    • 2 · Como56% probability@1.82BetssonEV+1%reference odds
    Bookmaker1 · GenoaX2 · Como
    Betsafe4.903.30
    EV+ 1%
    1.82
    Betsson4.903.30
    EV+ 1%
    1.82
    Nordicbet4.903.30
    EV+ 1%
    1.82
    Pinnacle5.483.24
    EV+ 2%
    1.83

    Odds updated 2 Sept, 19:36

    Odds movement

    10 %
    20 %15 %

    5.485.48

    X+2 %
    32 %27 %

    3.173.24

    2+2 %
    55 %50 %

    1.791.83

    Over 2,50 %
    44 %39 %

    2.332.32

    Pinnacle · 7 recorded price levels · 27/08/2026 → 02/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Genoa 0Draw 2Como 2
    Goals: 25 (⌀ 1,8)

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

    Key facts

    • Genoa have lost 3 in a row.
    • Como are unbeaten in their last 6 league matches.
    xG & xGA per match — 3-game rolling average

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

    Genoa
    Como
    When goals are scored and conceded 2026
    Genoa (02)
    Como (11)
    Pass networks

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

    Genoa
    Johan Vasquez: 55 passningar, xT 0.09VasquezMorten Frendrup: 53 passningar, xT 0.05FrendrupLeo Ostigard: 48 passningar, xT 0OstigardAlessandro Marcandalli: 47 passningar, xT 0.05MarcandalliAlex Amorim: 42 passningar, xT 0AmorimTommaso Baldanzi: 29 passningar, xT -0.01BaldanziJustin Bijlow: 29 passningar, xT 0.01BijlowMikael Egill Ellertsson: 21 passningar, xT 0EllertssonBrooke Norton-Cuffy: 18 passningar, xT 0.04Norton-CuffyVitinha: 12 passningar, xT -0.01VitinhaLorenzo Colombo: 7 passningar, xT -0.01Colombo
    Como
    Trevoh Chalobah: 74 passningar, xT 0.03ChalobahLuis Milla: 70 passningar, xT 0.05MillaJacobo Ramon: 68 passningar, xT 0.06RamonAlex Valle: 57 passningar, xT 0.07ValleLucas da Cunha: 48 passningar, xT 0.05CunhaMáximo Perrone: 46 passningar, xT 0.01PerroneNico Paz: 39 passningar, xT -0.02PazJean Butez: 26 passningar, xT 0.04ButezYan Couto: 24 passningar, xT 0.08CoutoMartin Baturina: 14 passningar, xT 0BaturinaAssane Diao: 9 passningar, xT -0.01Diao
    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.

    Genoa
    Johan Vasquez: 55 passningar, xT 0.09VasquezMorten Frendrup: 53 passningar, xT 0.05FrendrupLeo Ostigard: 48 passningar, xT 0OstigardAlessandro Marcandalli: 47 passningar, xT 0.05MarcandalliAlex Amorim: 42 passningar, xT 0AmorimTommaso Baldanzi: 29 passningar, xT -0.01BaldanziJustin Bijlow: 29 passningar, xT 0.01BijlowMikael Egill Ellertsson: 21 passningar, xT 0EllertssonBrooke Norton-Cuffy: 18 passningar, xT 0.04Norton-CuffyVitinha: 12 passningar, xT -0.01VitinhaLorenzo Colombo: 7 passningar, xT -0.01Colombo
    Como
    Trevoh Chalobah: 74 passningar, xT 0.03ChalobahLuis Milla: 70 passningar, xT 0.05MillaJacobo Ramon: 68 passningar, xT 0.06RamonAlex Valle: 57 passningar, xT 0.07ValleLucas da Cunha: 48 passningar, xT 0.05CunhaMáximo Perrone: 46 passningar, xT 0.01PerroneNico Paz: 39 passningar, xT -0.02PazJean Butez: 26 passningar, xT 0.04ButezYan Couto: 24 passningar, xT 0.08CoutoMartin Baturina: 14 passningar, xT 0BaturinaAssane Diao: 9 passningar, xT -0.01Diao

    The teams in numbers

    PerformanceGenoaComo
    Points01
    xPoints1.81.1
    xG per match0.721.6
    xGA per match0.781.4
    xG within 8s of winning the ball0.070.07
    xGA within 8s of losing the ball0.140.35
    Playing styleGenoaComo
    Build-up efficiency0.270.3
    Field tilt0.30.51
    xT per match0.230.53
    xTA per match1.21.1
    Won balls, offensive half2225
    Pressing intensity0.270.21
    Pressing efficiency0.260.29
    Pressing efficiency, offensive half0.180.37
    Entries into the box per match715
    Entries into the box against1810
    Pass completion %0.810.83
    Pass completion % under pressure0.750.73
    Passes per match380496
    Passes against per match463313
    Switches of play per match19.217.6
    Long balls per match1817
    Set piecesGenoaComo
    xG from free kicks00
    Corners per match59.8
    Corners against per match50.98
    xG per corner0.010.09
    xGA per corner against00
    First touch, offensive corners %00.5
    First touch, defensive corners %0.61
    OtherGenoaComo
    Throw-in control0.581
    The goalkeepersJustin Bijlow (Genoa)Jean Butez (Como)
    Saves22
    Save %50%67%
    xG prevented27%54%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Genoa vs Como according to our model?

    The model gives Como a 56% win probability. Full 1X2 picture: Genoa 18%, draw 26%, Como 56%.

    What is the most likely scoreline?

    The model's most likely final score is 0-1 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 46% 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.