Serie AStadio Ennio Tardini, Parma28°14 km/h

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    ParmaParmaBalanced & physical
    vs
    MonzaMonzaLow block & direct
    The model's lean: 2 · Monza (36%)Soft draw

    ParmaMonza · Serie A

    1 · Parma 35%X 29%36% Monza · 2

    Analysis: ParmaMonza

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

    Parma vs Monza is shaping up as a clash defined by razor-thin margins and contrasting styles. The model gives a slight edge to the visitors, pegging Monza with a 36% chance of victory, just one percentage point above the hosts. Monza's recent four-match losing streak seems to clash with this projection, but it's the tactical nuances and underlying numbers that tell the full story.

    Parma, playing at home, will likely try to leverage their balanced and physical approach. Despite this, their expected goals (xG) metrics are underwhelming, averaging just 0.57 per match compared to Monza's 1.4. This tilt in xG suggests that the visitors, despite their recent form, are more capable of creating high-quality chances. Still, the hosts will aim to disrupt Monza's rhythm with their physicality, perhaps looking to exploit any defensive frailties the visitors might have.

    The head-to-head record is sparse, with only two encounters since 2021, and it leans slightly in Parma's favor with one win and one draw. However, this small sample size weighs less than the current form and expected metrics. Monza's direct style, paired with a nearly even xGA of 1.5 per match for both sides, hints at a match where moments of precision could decide the outcome.

    The most likely scoreline, according to the model, is a 1-1 draw, but the slight nod towards Monza makes an away win at odds of 3.05 with Betsafe, Betsson, and Nordicbet a tempting value play. The model rates Monza’s chances at 36%, giving bettors a 10% edge. For those interested in the over/under market, the odds slightly lean towards under 2.5 goals. However, the real opportunity here lies in the calculated gamble on Monza to edge out a victory, despite their recent struggles.

    ParmaParma
    Form LLWLL
    League ranking xG #19xGA #11xT #19xP/match #16Points #17
    Key players
    • Adrian BernabeRWxG 0.02 · xT 0.13
    • Emanuele ValeriLWBxG 0.03 · xT 0.03
    • Mandela KeitaRWxG 0.00 · xT 0.19
    MonzaMonza
    Form WLLLL
    League ranking xG #11xGA #10xT #9xP/match #7Points #18
    Key players
    • Gustavo Miguel Pereira de Sousa VarelaFxG 0.38 · xT -0.08
    • Samuele BirindelliLWxG 0.07 · xT 0.12
    • Ricardo Luís Chaby MangasLWxG 0.21 · xT 0.23

    Match prediction: ParmaMonza

    Predicted score matrix

    Monza
    Parma
    0
    1
    2
    3
    4+
    0
    0–08.6%
    0–110.0%
    0–26.6%
    0–32.8%
    0–4+1.2%
    1
    1–09.7%
    1–113.2%
    1–28.1%
    1–33.4%
    1–4+1.4%
    2
    2–06.2%
    2–17.9%
    2–25.0%
    2–32.1%
    2–4+0.9%
    3
    3–02.6%
    3–13.3%
    3–22.1%
    3–30.9%
    3–4+0.4%
    4+
    4+–01.0%
    4+–11.3%
    4+–20.8%
    4+–30.4%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-110%
    3. 3.1-010%
    4. 4.0-09%
    5. 5.1-28%
    Expected goals
    1,231,27
    Both teams to score
    51%

    Over/under goals

    Expected goals: 2,5
    Under 2,554%
    @1.63
    Over 2,546%
    @2.38EV+5%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Monza or draw (X2)65%
    • Under 3.5 goals76%

    Combined probability

    49%

    Fair odds

    2.03

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

    02 · 3 legs

    Balanced

    • Double chance Monza or draw (X2)65%
    • Under 2.5 goals54%
    • Samuele Birindelli to score13%

    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 score51%
    • Over 2.5 goals46%
    • Mateo Pellegrino Casalánguida to score28%
    • Christian Nahuel Ordóñez 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+).

    • 2 · Monza36% probability@3.12PinnacleEV+12%reference odds
    • Over 2.546% probability@2.38PinnacleEV+9%reference odds
    • 2 · Monza36% probability@2.98BetssonEV+7%reference odds
    Bookmaker1 · ParmaX2 · Monza
    Betsafe2.583.00
    EV+ 6%
    2.95
    Betsson2.583.05
    EV+ 7%
    2.98
    Nordicbet2.583.05
    EV+ 7%
    2.98
    Pinnacle2.523.12
    EV+ 12%
    3.12

    Odds updated 4 Sept, 12:30

    Odds movement

    Market signal

    The market has moved clearly towards an Monza win since 29 August — the odds have shortened from 3.96 to 3.12 (−21%).

    1+26 %
    48 %38 %

    2.002.52

    X-5 %
    35 %25 %

    3.293.12

    2-21 %
    32 %22 %

    3.963.12

    Over 2,5+3 %
    46 %36 %

    2.312.38

    Pinnacle · 10 recorded price levels · 29/08/2026 → 04/09/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    2 matches
    Parma 1Draw 1Monza 0
    Goals: 32 (⌀ 2,5)

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

    Key facts

    • Monza have lost 4 in a row.
    xG & xGA per match — 3-game rolling average

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

    Parma
    Monza
    When goals are scored and conceded 2026
    Parma (03)
    Monza (37)
    Pass networks

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

    Parma
    Mariano Troilo: 129 passningar, xT 0.21TroiloAdrian Bernabe: 75 passningar, xT 0.19BernabeEnrico Delprato: 72 passningar, xT 0.17DelpratoEdoardo Corvi: 70 passningar, xT -0.01CorviChristian Ordonez: 58 passningar, xT 0.01OrdonezMandela Keita: 56 passningar, xT 0.21KeitaAbdoulaye Ndiaye: 54 passningar, xT 0.03NdiayeEmanuele Valeri: 47 passningar, xT 0.06ValeriAbdou-Salam Konaté: 39 passningar, xT -0.01KonatéDominik Drobnič: 35 passningar, xT 0.04DrobničSimone Lontani: 25 passningar, xT -0.02Lontani
    Monza
    Andrea Carboni: 69 passningar, xT 0.21CarboniEddy Kouadio: 64 passningar, xT 0.36KouadioLorenzo Lucchesi: 58 passningar, xT 0LucchesiRicardo Luís Chaby Mangas: 50 passningar, xT 0.43MangasManga Foe-Ondoa: 44 passningar, xT 0.04Foe-OndoaSamuele Birindelli: 41 passningar, xT 0.14BirindelliMathis Mout: 40 passningar, xT 0.09MoutEbenezer Akinsanmiro: 30 passningar, xT 0.2AkinsanmiroFilippo Delli Carri: 28 passningar, xT 0.03CarriDemba Thiam: 27 passningar, xT 0.05ThiamMichael Folorunsho: 25 passningar, xT 0.09Folorunsho
    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.

    Parma
    Mariano Troilo: 129 passningar, xT 0.21TroiloAdrian Bernabe: 75 passningar, xT 0.19BernabeEnrico Delprato: 72 passningar, xT 0.17DelpratoEdoardo Corvi: 70 passningar, xT -0.01CorviChristian Ordonez: 58 passningar, xT 0.01OrdonezMandela Keita: 56 passningar, xT 0.21KeitaAbdoulaye Ndiaye: 54 passningar, xT 0.03NdiayeEmanuele Valeri: 47 passningar, xT 0.06ValeriAbdou-Salam Konaté: 39 passningar, xT -0.01KonatéDominik Drobnič: 35 passningar, xT 0.04DrobničSimone Lontani: 25 passningar, xT -0.02Lontani
    Monza
    Andrea Carboni: 69 passningar, xT 0.21CarboniEddy Kouadio: 64 passningar, xT 0.36KouadioLorenzo Lucchesi: 58 passningar, xT 0LucchesiRicardo Luís Chaby Mangas: 50 passningar, xT 0.43MangasManga Foe-Ondoa: 44 passningar, xT 0.04Foe-OndoaSamuele Birindelli: 41 passningar, xT 0.14BirindelliMathis Mout: 40 passningar, xT 0.09MoutEbenezer Akinsanmiro: 30 passningar, xT 0.2AkinsanmiroFilippo Delli Carri: 28 passningar, xT 0.03CarriDemba Thiam: 27 passningar, xT 0.05ThiamMichael Folorunsho: 25 passningar, xT 0.09Folorunsho

    The teams in numbers

    PerformanceParmaMonza
    Points00
    xPoints1.83.2
    xG per match0.571.4
    xGA per match1.51.5
    xG within 8s of winning the ball0.130.15
    xGA within 8s of losing the ball0.230.24
    Playing styleParmaMonza
    Build-up efficiency0.310.29
    Field tilt0.240.47
    xT per match0.561
    xTA per match1.30.89
    Won balls, offensive half2618
    Pressing intensity0.250.21
    Pressing efficiency0.170.21
    Pressing efficiency, offensive half0.190.15
    Entries into the box per match1012
    Entries into the box against1514
    Pass completion %0.780.76
    Pass completion % under pressure0.720.69
    Passes per match352316
    Passes against per match466504
    Switches of play per match30.521.1
    Long balls per match2728
    Set piecesParmaMonza
    xG from free kicks0.120.01
    Corners per match2.53.1
    Corners against per match5.93.1
    xG per corner0.060.03
    xGA per corner against0.050.03
    First touch, offensive corners %0.20.33
    First touch, defensive corners %0.250.17
    OtherParmaMonza
    Throw-in control0.730.8
    The goalkeepersEdoardo Corvi (Parma)Lorenzo Lucchesi (Monza)
    Saves84
    Save %73%100%
    xG prevented84%100%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Parma vs Monza according to our model?

    The model gives Monza a 36% win probability. Full 1X2 picture: Parma 35%, draw 29%, Monza 36%.

    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 46% and under at 54%.

    Will both teams score?

    The probability of both teams scoring is 51% 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.