Serie ASan Siro, Milano13°7 km/h

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    InterInterPossession control
    vs
    ParmaParmaCounter-attacks & crosses
    The model's lean: 1 · Inter (82%)Best value by the model: 2 · Parma @ 20.00 (+22 %)

    Inter vs Parma · Serie A

    1 · Inter 82%X 12%6% Parma · 2

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    Analysis: Inter – Parma

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

    Inter's dominance is clear from the start, both in recent form and their historical matchup with Parma. With an impressive 82% probability of winning, the hosts are heavily favored by the model, which envisions a straightforward victory for them. Given their style of possession control against Parma's counter-attacking approach, Inter is set up to dictate the tempo and likely suffocate any threat from the visitors' sporadic offensive pushes.

    The numbers suggest a comfortable night for Inter, predicting a likely 3-0 or 2-0 win. Their consistent scoring streak, having found the back of the net in nine consecutive league matches, reinforces this outlook. Meanwhile, Parma, with their modest expected goals of 0.85, seem unlikely to break through Inter’s defense, which has been solid over their 15-match unbeaten run. A clear mismatch when comparing expected goals per match further tilts the scale towards the home team.

    Despite Parma's ability to counter-attack and exploit crosses, their execution is likely to be stifled by Inter's control over possession. The visitors’ struggles are compounded by their xGA of 1.7 per match, suggesting they might concede heavily against an attacking force like Inter, who average 2.7 xG per match. This imbalance in offensive firepower and defensive solidity points to a match where the hosts should thrive.

    The over/under market leans heavily towards over 2.5 goals, with a 74% chance of that outcome. Inter's prolific scoring and Parma's defensive vulnerabilities form a compelling case for goals. Interestingly, the model also offers a slight edge on a draw at odds of 8.5 with LeoVegas, although the 2% edge suggests this as more of an outsider's bet than a main play.

    Ultimately, the analysis points towards a straightforward victory for Inter, likely by a 3-0 scoreline. For those eyeing value, the over 2.5 goals market looks promising, supported by the statistical edge and Inter's recent attacking form.

    InterInter
    Form WWWWD
    League ranking xG #2xGA #7xT #2xP/match #3Points #2
    Key players
    • Marcus ThuramFxG 0.84 · xT 0.05
    • Pio EspositoFxG 0.68 · xT 0.10
    • Hakan CalhanogluCDMxG 0.06 · xT 0.06
    ParmaParma
    Form LLDLW
    League ranking xG #20xGA #13xT #19xP/match #17Points #15
    Key players
    • José David RomeroFxG 0.28 · xT 0.00
    • Emanuele ValeriLWxG 0.01 · xT 0.14
    • Adrian BernabeRWxG 0.02 · xT 0.12

    Match prediction: Inter – Parma

    Predicted score matrix

    Parma →
    Inter →
    0
    1
    2
    3
    4+
    0
    0–02.2%
    0–11.6%
    0–20.8%
    0–30.2%
    0–4+0.1%
    1
    1–06.1%
    1–15.5%
    1–22.3%
    1–30.7%
    1–4+0.2%
    2
    2–09.5%
    2–18.1%
    2–23.5%
    2–31.0%
    2–4+0.3%
    3
    3–09.5%
    3–18.1%
    3–23.5%
    3–31.0%
    3–4+0.3%
    4+
    4+–015.1%
    4+–112.9%
    4+–25.5%
    4+–31.6%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.3-010%
    2. 2.2-09%
    3. 3.3-18%
    4. 4.2-18%
    5. 5.4-07%
    Expected goals
    3,01–0,85
    Both teams to score
    55%

    Over/under goals

    Expected goals: 3,9
    Under 2,526%
    @3.20
    Over 2,574%
    @1.36EV+1%

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Inter to win82%
    • Over 1.5 goals90%

    Combined probability

    74%

    Fair odds

    1.35

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

    02 · 3 legs

    Balanced

    • Inter to win82%
    • Over 2.5 goals74%
    • Hakan Çalhanoğlu to score37%

    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 score55%
    • Over 2.5 goals74%
    • Hakan Çalhanoğlu to score37%
    • Lautaro Rodrigo Valenti to be booked22%

    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 · Parma6% probability@20.00NordicbetEV+22%reference odds
    • 2 · Parma6% probability@19.50BetsafeEV+19%reference odds
    • Over 4.535% probability@2.97BetsafeEV+3%reference odds
    Bookmaker1 · InterX2 · Parma
    Betsafe1.167.00
    EV+ 19%
    19.50
    LeoVegas1.14
    EV+ 2%
    8.50
    15.00
    Nordicbet1.167.10
    EV+ 22%
    20.00

    Odds updated 3 Oct, 07:37

    Statistics

    Head-to-head

    4 matches
    Inter 3Draw 1Parma 0
    Goals: 9–3 (⌀ 3)

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

    Key facts

    • Inter Milan are unbeaten in their last 15 league matches.
    • Inter Milan have scored in 9 consecutive league matches.
    • Inter Milan win 73% of their home matches all-time (41 played).
    xG & xGA per match — 3-game rolling average

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

    Inter
    Parma
    When goals are scored and conceded — 2026
    Inter (15–8)
    Parma (4–7)
    Pass networks

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

    Inter
    Alessandro Bastoni: 369 passningar, xT 0.88BastoniManuel Akanji: 292 passningar, xT 0.25AkanjiNicolò Barella: 253 passningar, xT 1.07BarellaPiotr Zielinski: 239 passningar, xT 0.52ZielinskiFederico Dimarco: 186 passningar, xT 1.29DimarcoJosep Martinez: 177 passningar, xT 0.1MartinezYann Bisseck: 155 passningar, xT 0.35BisseckAndy Diouf: 149 passningar, xT 1.12DioufHakan Calhanoglu: 132 passningar, xT 0.09CalhanogluBenjamin Jacques Marcel Pavard: 123 passningar, xT 0.21PavardPetar Sucic: 106 passningar, xT 0.31Sucic
    Parma
    Mariano Troilo: 269 passningar, xT 0.44TroiloEnrico Delprato: 160 passningar, xT 0.24DelpratoEdoardo Corvi: 153 passningar, xT 0.04CorviMandela Keita: 134 passningar, xT 0.23KeitaDiego Carlos Santos Silva: 106 passningar, xT -0.12SilvaEmanuele Valeri: 96 passningar, xT 0.68ValeriAdrian Bernabe: 87 passningar, xT 0.23BernabeChristian Ordonez: 76 passningar, xT 0.08OrdonezVincent Olivier Sierro: 69 passningar, xT 0.36SierroDominik Drobnič: 67 passningar, xT 0.08DrobničAbdoulaye Ndiaye: 54 passningar, xT 0.03Ndiaye
    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.

    Inter
    Alessandro Bastoni: 369 passningar, xT 0.88BastoniManuel Akanji: 292 passningar, xT 0.25AkanjiNicolò Barella: 253 passningar, xT 1.07BarellaPiotr Zielinski: 239 passningar, xT 0.52ZielinskiFederico Dimarco: 186 passningar, xT 1.29DimarcoJosep Martinez: 177 passningar, xT 0.1MartinezYann Bisseck: 155 passningar, xT 0.35BisseckAndy Diouf: 149 passningar, xT 1.12DioufHakan Calhanoglu: 132 passningar, xT 0.09CalhanogluBenjamin Jacques Marcel Pavard: 123 passningar, xT 0.21PavardPetar Sucic: 106 passningar, xT 0.31Sucic
    Parma
    Mariano Troilo: 269 passningar, xT 0.44TroiloEnrico Delprato: 160 passningar, xT 0.24DelpratoEdoardo Corvi: 153 passningar, xT 0.04CorviMandela Keita: 134 passningar, xT 0.23KeitaDiego Carlos Santos Silva: 106 passningar, xT -0.12SilvaEmanuele Valeri: 96 passningar, xT 0.68ValeriAdrian Bernabe: 87 passningar, xT 0.23BernabeChristian Ordonez: 76 passningar, xT 0.08OrdonezVincent Olivier Sierro: 69 passningar, xT 0.36SierroDominik Drobnič: 67 passningar, xT 0.08DrobničAbdoulaye Ndiaye: 54 passningar, xT 0.03Ndiaye

    The teams in numbers

    PerformanceInterParma
    Points134
    xPoints8.65.1
    xG per match2.70.68
    xGA per match1.31.7
    xG within 8s of winning the ball0.50.18
    xGA within 8s of losing the ball0.250.16
    Playing styleInterParma
    Build-up efficiency0.310.31
    Field tilt0.660.22
    xT per match1.70.64
    xTA per match0.861.1
    Won balls, offensive half2622
    Pressing intensity0.240.24
    Pressing efficiency0.30.21
    Pressing efficiency, offensive half0.290.18
    Entries into the box per match2210
    Entries into the box against1015
    Pass completion %0.860.75
    Pass completion % under pressure0.810.68
    Passes per match563307
    Passes against per match299457
    Switches of play per match39.527.8
    Long balls per match4229
    Set piecesInterParma
    xG from free kicks0.020.09
    Corners per match6.23.4
    Corners against per match4.26.2
    xG per corner0.080.04
    xGA per corner against0.030.07
    First touch, offensive corners %0.580.35
    First touch, defensive corners %0.570.26
    OtherInterParma
    Throw-in control0.830.66
    The goalkeepersJosep Martinez (Inter)Edoardo Corvi (Parma)
    Saves1321
    Save %62%75%
    xG prevented56%65%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Inter vs Parma according to our model?

    The model gives Inter a 82% win probability. Full 1X2 picture: Inter 82%, draw 12%, Parma 6%.

    What is the most likely scoreline?

    The model's most likely final score is 3-0 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 74% and under at 26%.

    Will both teams score?

    The probability of both teams scoring is 55% 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.