Serie ASan Siro, Milano23°9 km/h

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    InterInterPossession control
    vs
    UdineseUdineseBalanced & physical
    The model's lean: 1 · Inter (78%)Best value by the model: 2 · Udinese @ 13.00 (+11 %)

    Inter vs Udinese · Serie A

    1 · Inter 78%X 14%9% Udinese · 2

    Analysis: InterUdinese

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

    Inter's dominance over Udinese is evident, having won three out of their last four meetings since 2021. While a small sample, it complements the current form of the hosts, who are on a three-match winning streak. With Inter claiming 72% of their home games historically, the stage seems set for another strong performance.

    The tactical contrast is clear. Inter's possession-based style is likely to suffocate Udinese’s balanced but physical approach. The visitors’ defensive vulnerabilities are stark, conceding an average of 1.7 xGA per match, which should be worrying against an Inter side that generates 3.0 xG per match. The expected goals suggest a comfortable outing for the Nerazzurri, with Inter projected at 2.56 xG compared to Udinese’s meager 0.64 xG.

    The model suggests a 62% probability for over 2.5 goals, yet with Udinese's expected goals so low, the over might hinge primarily on Inter's ability to capitalize on their chances. The most probable scorelines of 2-0 and 3-0 reinforce this notion. With a 44% chance for both teams to score, Udinese finding the net seems less likely.

    For punters, the betting value lies in backing Inter at odds of 1.3 with Betsson or Nordicbet, mirroring the model’s 78% winning probability. The slight edge at these odds makes it a worthwhile consideration. In such a context, a 2-0 win for the hosts feels like a sound prediction.

    InterInter
    Form DDWWW
    League ranking xG #2xGA #7xT #2xP/match #5Points #2
    Key players
    • Pio EspositoFxG 0.83 · xT 0.01
    • Federico DimarcoLWBxG 0.19 · xT 0.45
    • Luis HenriqueRWxG 0.04 · xT 0.07
    UdineseUdinese
    Form LLDWL
    League ranking xG #11xGA #12xT #9xP/match #10Points #11
    Key players
    • Idrissa GueyeFxG 0.45 · xT -0.09
    • Keinan DavisFxG 0.36 · xT 0.14
    • Mërgim VojvodaRWxG 0.02 · xT 0.30

    Match prediction: InterUdinese

    Predicted score matrix

    Udinese
    Inter
    0
    1
    2
    3
    4+
    0
    0–04.3%
    0–12.4%
    0–20.8%
    0–30.2%
    0–4+0.0%
    1
    1–010.2%
    1–16.9%
    1–22.1%
    1–30.5%
    1–4+0.1%
    2
    2–013.3%
    2–18.6%
    2–22.7%
    2–30.6%
    2–4+0.1%
    3
    3–011.4%
    3–17.3%
    3–22.3%
    3–30.5%
    3–4+0.1%
    4+
    4+–013.4%
    4+–18.6%
    4+–22.8%
    4+–30.6%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-013%
    2. 2.3-011%
    3. 3.1-010%
    4. 4.2-19%
    5. 5.3-17%
    Expected goals
    2,560,64
    Both teams to score
    44%

    Over/under goals

    Expected goals: 3,2
    Under 2,538%
    @2.59
    Over 2,562%
    @1.51

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Inter to win78%
    • Over 1.5 goals83%

    Combined probability

    68%

    Fair odds

    1.46

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

    02 · 3 legs

    Balanced

    • Inter to win78%
    • Over 2.5 goals62%
    • Yann Aurel Ludger Bisseck 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 score44%
    • Over 2.5 goals62%
    • Yann Aurel Ludger Bisseck to score37%
    • Christian Kabasele to be booked23%

    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 · Udinese9% probability@13.00BetssonEV+11%reference odds
    • 2 · Udinese9% probability@13.00NordicbetEV+11%reference odds
    • 2 · Udinese9% probability@12.50BetsafeEV+7%reference odds
    Bookmaker1 · InterX2 · Udinese
    Betsafe1.275.25
    EV+ 7%
    12.50
    Betsson1.275.30
    EV+ 11%
    13.00
    Nordicbet1.275.30
    EV+ 11%
    13.00
    Pinnacle1.256.3211.09

    Odds updated 11 Sept, 21:38

    Odds movement

    Market signal

    The market has moved clearly towards a Inter win since 6 September — the odds have shortened from 1.30 to 1.25 (−4%).

    1-4 %
    77 %72 %

    1.301.25

    X+15 %
    19 %14 %

    5.496.32

    2+20 %
    12 %7 %

    9.2611.09

    Pinnacle · 8 recorded price levels · 06/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Inter 3Draw 0Udinese 1
    Goals: 75 (⌀ 3)

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

    Key facts

    • Inter Milan come into this round on 3 straight wins.
    • Inter Milan win 72% of their home matches all-time (40 played).
    xG & xGA per match — 3-game rolling average

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

    Inter
    Udinese
    When goals are scored and conceded 2026
    Inter (83)
    Udinese (55)
    Pass networks

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

    Inter
    Alessandro Bastoni: 263 passningar, xT 0.75BastoniManuel Akanji: 179 passningar, xT 0.17AkanjiNicolò Barella: 154 passningar, xT 0.45BarellaFederico Dimarco: 143 passningar, xT 1.13DimarcoHakan Calhanoglu: 132 passningar, xT 0.09CalhanogluPiotr Zielinski: 130 passningar, xT 0.39ZielinskiYann Bisseck: 117 passningar, xT 0.3BisseckJosep Martinez: 114 passningar, xT 0.04MartinezBenjamin Jacques Marcel Pavard: 94 passningar, xT 0.18PavardPetar Sucic: 81 passningar, xT 0.32SucicAndy Diouf: 76 passningar, xT 0.93Diouf
    Udinese
    Mërgim Vojvoda: 124 passningar, xT 0.85VojvodaEnzo Ebosse: 113 passningar, xT 0.21EbosseOumar Solet: 106 passningar, xT 0.21SoletJesper Karlström: 86 passningar, xT 0.06KarlströmJames Abankwah: 81 passningar, xT 0.03AbankwahHassane Kamara: 81 passningar, xT 0.31KamaraMaduka Okoye: 80 passningar, xT 0.2OkoyeJurgen Ekkelenkamp: 60 passningar, xT 0.03EkkelenkampJakub Piotrowski: 55 passningar, xT 0.09PiotrowskiLennon Miller: 40 passningar, xT -0.03MillerKeinan Davis: 32 passningar, xT 0.09Davis
    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: 263 passningar, xT 0.75BastoniManuel Akanji: 179 passningar, xT 0.17AkanjiNicolò Barella: 154 passningar, xT 0.45BarellaFederico Dimarco: 143 passningar, xT 1.13DimarcoHakan Calhanoglu: 132 passningar, xT 0.09CalhanogluPiotr Zielinski: 130 passningar, xT 0.39ZielinskiYann Bisseck: 117 passningar, xT 0.3BisseckJosep Martinez: 114 passningar, xT 0.04MartinezBenjamin Jacques Marcel Pavard: 94 passningar, xT 0.18PavardPetar Sucic: 81 passningar, xT 0.32SucicAndy Diouf: 76 passningar, xT 0.93Diouf
    Udinese
    Mërgim Vojvoda: 124 passningar, xT 0.85VojvodaEnzo Ebosse: 113 passningar, xT 0.21EbosseOumar Solet: 106 passningar, xT 0.21SoletJesper Karlström: 86 passningar, xT 0.06KarlströmJames Abankwah: 81 passningar, xT 0.03AbankwahHassane Kamara: 81 passningar, xT 0.31KamaraMaduka Okoye: 80 passningar, xT 0.2OkoyeJurgen Ekkelenkamp: 60 passningar, xT 0.03EkkelenkampJakub Piotrowski: 55 passningar, xT 0.09PiotrowskiLennon Miller: 40 passningar, xT -0.03MillerKeinan Davis: 32 passningar, xT 0.09Davis

    The teams in numbers

    PerformanceInterUdinese
    Points94
    xPoints5.24
    xG per match31.2
    xGA per match1.31.7
    xG within 8s of winning the ball0.320.26
    xGA within 8s of losing the ball0.210.18
    Playing styleInterUdinese
    Build-up efficiency0.310.28
    Field tilt0.730.37
    xT per match1.91
    xTA per match0.671.2
    Won balls, offensive half2729
    Pressing intensity0.230.23
    Pressing efficiency0.320.26
    Pressing efficiency, offensive half0.330.25
    Entries into the box per match2512
    Entries into the box against714
    Pass completion %0.860.75
    Pass completion % under pressure0.810.71
    Passes per match600322
    Passes against per match275453
    Switches of play per match42.121.9
    Long balls per match4234
    Set piecesInterUdinese
    xG from free kicks0.030.02
    Corners per match6.42
    Corners against per match5.47
    xG per corner0.070.03
    xGA per corner against0.010.05
    First touch, offensive corners %0.580.67
    First touch, defensive corners %0.620.57
    OtherInterUdinese
    Throw-in control0.790.56
    The goalkeepersJosep Martinez (Inter)Maduka Okoye (Udinese)
    Saves913
    Save %75%72%
    xG prevented84%47%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Inter vs Udinese according to our model?

    The model gives Inter a 78% win probability. Full 1X2 picture: Inter 78%, draw 14%, Udinese 9%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 62% and under at 38%.

    Will both teams score?

    The probability of both teams scoring is 44% 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.