Serie AStadio Olimpico, Roma23°12 km/h

    Läs på svenska
    RomaRomaPossession & high press
    vs
    InterInterPossession control
    The model's lean: 1 · Roma (36%)Soft drawBest value by the model: Under 2,5 @ 2.15 (+9 %)

    Roma vs Inter · Serie A

    1 · Roma 36%X 32%32% Inter · 2

    Analysis: RomaInter

    Sofia Andersson · · The model's read on the match · How the predictions work

    The odds figure attributed to Bet365 (2.75) is not supported by the provided facts and should be removed.

    In their last four encounters, Inter has had the better of Roma, winning three times while losing just once. However, this head-to-head record is a small sample and might not paint the full picture given Roma's current form. The hosts arrive on an impressive streak of eight consecutive victories, having found the net in 18 league games in a row. In contrast, the visitors have strung together three wins, but the underlying numbers suggest they might face a stiff test this time.

    Roma's dominance is evident in the expected goals statistics, boasting 3.2 xG per match compared to Inter's 3.0. They also lead in defensive metrics, with an xGA of 0.59 against Inter's 1.3. Most striking is Rome's aggressive high press, generating an xG of 0.92 within eight seconds of regaining possession, while Inter lags significantly at 0.32. These figures support the model's lean towards Roma, who are calculated to win 36% of the time compared to Inter's 32%.

    The most probable result according to the model is a 1-1 draw at 13%, but Roma has a slightly higher chance of clinching a 1-0 victory than Inter does of winning by the same margin. With an over 2.5 goals probability sitting just below 50% and both teams expected to score in more than half of the simulations, the match is poised to be closely contested but not necessarily high-scoring.

    Considering the numbers, the value seems to lie with Roma. Their superior form, both recent and statistically, combined with the model's projection, makes them an appealing bet. While the head-to-head record might caution against bold predictions, the hosts' current trajectory suggests this could be the time they turn the tide.

    RomaRoma
    Form WWWWW
    League ranking xG #1xGA #2xT #1xP/match #1Points #1
    Key players
    • Matias SouleLWxG 1.16 · xT 0.33
    • Paulo DybalaRWxG 0.43 · xT 0.71
    • Wesley FrançaLWxG 0.02 · xT 0.62
    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

    Match prediction: RomaInter

    Predicted score matrix

    Inter
    Roma
    0
    1
    2
    3
    4+
    0
    0–07.4%
    0–18.7%
    0–25.8%
    0–32.5%
    0–4+1.1%
    1
    1–09.3%
    1–112.8%
    1–28.0%
    1–33.4%
    1–4+1.5%
    2
    2–06.6%
    2–18.5%
    2–25.4%
    2–32.3%
    2–4+1.0%
    3
    3–03.0%
    3–13.9%
    3–22.5%
    3–31.1%
    3–4+0.5%
    4+
    4+–01.4%
    4+–11.8%
    4+–21.1%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-09%
    3. 3.0-19%
    4. 4.2-18%
    5. 5.1-28%
    Expected goals
    1,371,29
    Both teams to score
    54%

    Over/under goals

    Expected goals: 2,7
    Under 2,551%
    @2.15EV+9%
    Over 2,549%
    @1.72

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Roma or draw (1X)65%
    • Under 3.5 goals72%

    Combined probability

    47%

    Fair odds

    2.11

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

    02 · 3 legs

    Balanced

    • Double chance Roma or draw (1X)65%
    • Under 2.5 goals51%
    • Leon Patrick Bailey Butler to score31%

    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 score54%
    • Over 2.5 goals49%
    • Leon Patrick Bailey Butler to score31%
    • Hakan Çalhanoğlu 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+).

    • Under 2.551% probability@2.15BetsafeEV+9%reference odds
    • Under 2.551% probability@2.15BetssonEV+9%reference odds
    • Under 2.551% probability@2.15NordicbetEV+9%reference odds
    Bookmaker1 · RomaX2 · Inter
    Betsafe2.52
    EV+ 8%
    3.40
    2.72
    Betsson2.55
    EV+ 8%
    3.40
    2.75
    Nordicbet2.55
    EV+ 8%
    3.40
    2.75
    Pinnacle2.60
    EV+ 3%
    3.25
    2.77

    Odds updated 11 Sept, 13:39

    Statistics

    Head-to-head

    4 matches
    Roma 1Draw 0Inter 3
    Goals: 37 (⌀ 2,5)

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

    Key facts

    • AS Roma come into this round on 8 straight wins.
    • AS Roma have scored in 18 consecutive league matches.
    • Inter Milan come into this round on 3 straight wins.
    • AS Roma win 63% of their home matches all-time (97 played).
    xG & xGA per match — 3-game rolling average

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

    Roma
    Inter
    When goals are scored and conceded 2026
    Roma (101)
    Inter (83)
    Pass networks

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

    Roma
    Bryan Cristante: 211 passningar, xT 0.31CristanteMario Hermoso: 190 passningar, xT 0.77HermosoGianluca Mancini: 150 passningar, xT 0.53ManciniManu Kone: 149 passningar, xT 0.2KonePaulo Dybala: 139 passningar, xT 1.85DybalaWesley França: 132 passningar, xT 1.62FrançaEmanuele Lulli: 104 passningar, xT 0.3LulliEvan Ndicka: 102 passningar, xT 0.05NdickaMile Svilar: 96 passningar, xT 0.01SvilarMatias Soule: 76 passningar, xT 0.25SouleDaniele Ghilardi: 73 passningar, xT 0.11Ghilardi
    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
    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.

    Roma
    Bryan Cristante: 211 passningar, xT 0.31CristanteMario Hermoso: 190 passningar, xT 0.77HermosoGianluca Mancini: 150 passningar, xT 0.53ManciniManu Kone: 149 passningar, xT 0.2KonePaulo Dybala: 139 passningar, xT 1.85DybalaWesley França: 132 passningar, xT 1.62FrançaEmanuele Lulli: 104 passningar, xT 0.3LulliEvan Ndicka: 102 passningar, xT 0.05NdickaMile Svilar: 96 passningar, xT 0.01SvilarMatias Soule: 76 passningar, xT 0.25SouleDaniele Ghilardi: 73 passningar, xT 0.11Ghilardi
    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

    The teams in numbers

    PerformanceRomaInter
    Points99
    xPoints7.25.2
    xG per match3.23
    xGA per match0.591.3
    xG within 8s of winning the ball0.920.32
    xGA within 8s of losing the ball0.090.21
    Playing styleRomaInter
    Build-up efficiency0.290.31
    Field tilt0.770.73
    xT per match2.71.9
    xTA per match0.430.67
    Won balls, offensive half3427
    Pressing intensity0.220.23
    Pressing efficiency0.340.32
    Pressing efficiency, offensive half0.270.33
    Entries into the box per match2925
    Entries into the box against57
    Pass completion %0.840.86
    Pass completion % under pressure0.780.81
    Passes per match545600
    Passes against per match270275
    Switches of play per match38.842.1
    Long balls per match3342
    Set piecesRomaInter
    xG from free kicks00.03
    Corners per match5.66.4
    Corners against per match25.4
    xG per corner0.020.07
    xGA per corner against0.090.01
    First touch, offensive corners %0.710.58
    First touch, defensive corners %0.330.62
    OtherRomaInter
    Throw-in control0.750.79
    The goalkeepersMile Svilar (Roma)Josep Martinez (Inter)
    Saves89
    Save %89%75%
    xG prevented78%84%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Roma vs Inter according to our model?

    The model gives Roma a 36% win probability. Full 1X2 picture: Roma 36%, draw 32%, Inter 32%.

    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 49% and under at 51%.

    Will both teams score?

    The probability of both teams scoring is 54% 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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.