Serie ABluenergy Stadium, Udine10°6 km/h

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    UdineseUdineseBalanced & physical
    vs
    RomaRomaPossession & high press
    The model's lean: 2 · Roma (67%)Best value by the model: Over 4,5 @ 4.82 (+21 %)

    Udinese vs Roma · Serie A

    1 · Udinese 14%X 19%67% Roma · 2

    Prediction summary

    BetBuilders AI model prediction for Udinese vs Roma (Serie A, Saturday, 31 October 2026): Udinese win 14%, draw 19%, Roma win 67%. Expected goals (xG): Udinese 0.99, Roma 2.38. Most likely score: 0-2 (10%). Over 2.5 goals 65%, both teams to score 57%. Double chance: Udinese or draw 33%, Roma or draw 86%. Prediction updated Saturday, 24 October 2026.

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    Analysis: Udinese – Roma

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

    The current streak is stark: Udinese have lost their last five matches, while Roma remain unbeaten in their last 14 league outings. This clear contrast is reflected in the model, which gives the visitors a commanding 67% chance of victory. Roma's possession-based approach and high press should exploit Udinese's vulnerabilities, especially given the hosts' struggle with 1.8 expected goals against per match.

    Historically, this fixture tilts heavily in Roma's favor with seven wins out of the last ten encounters. However, the head-to-head sample size is small, so it weighs less than the season's form and expected goals metrics. Roma's attacking prowess is evident with an expected goals tally of 2.38, significantly higher than Udinese's 0.99, suggesting a comfortable margin for the visitors on paper.

    The most likely scorelines point to a 0-2 or 1-2 finish, aligning with the model's over 2.5 goals probability of 65%. Both teams finding the net sits at 57%, yet the real value here lies with Roma. Expect Roma to assert their dominance, capitalizing on Udinese's struggles to extend their unbeaten run.

    UdineseUdinese
    Form LLLLL
    League ranking xG #15xGA #16xT #9xP/match #18Points #16
    Key players
    • Jurgen EkkelenkampCAMxG 0.25 · xT 0.09
    • Mërgim VojvodaRWxG 0.02 · xT 0.20
    • Giorgi ChakvetadzeFxG 0.13 · xT 0.10
    RomaRoma
    Form WWDDW
    League ranking xG #2xGA #2xT #1xP/match #1Points #3
    Key players
    • Bryan CristanteCMxG 0.17 · xT 0.12
    • Gianluca ManciniCBxG 0.12 · xT 0.16
    • Evan NdickaCBxG 0.10 · xT 0.03

    Match prediction: Udinese – Roma

    Predicted score matrix

    Roma →
    Udinese →
    0
    1
    2
    3
    4+
    0
    0–03.7%
    0–17.9%
    0–29.7%
    0–37.7%
    0–4+8.0%
    1
    1–03.2%
    1–18.4%
    1–29.6%
    1–37.6%
    1–4+8.0%
    2
    2–01.7%
    2–14.0%
    2–24.8%
    2–33.8%
    2–4+4.0%
    3
    3–00.6%
    3–11.3%
    3–21.6%
    3–31.3%
    3–4+1.3%
    4+
    4+–00.2%
    4+–10.4%
    4+–20.5%
    4+–30.4%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.0-210%
    2. 2.1-210%
    3. 3.1-18%
    4. 4.0-18%
    5. 5.0-38%
    Expected goals
    0,99–2,38
    Both teams to score
    57%

    Over/under goals

    Expected goals: 3,4
    Under 2,535%
    @2.26
    Over 2,565%
    @1.65EV+8%

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Roma to win67%
    • Over 1.5 goals85%

    Combined probability

    60%

    Fair odds

    1.67

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

    02 · 3 legs

    Balanced

    • Roma to win67%
    • Over 2.5 goals65%
    • Donyell Malen to score30%

    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 score57%
    • Over 2.5 goals65%
    • Donyell Malen to score30%
    • Oumar Mickaël Solet Bomawoko to be booked19%

    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+).

    • Over 4.525% probability@4.82BetsafeEV+21%reference odds
    • Over 4.525% probability@4.82NordicbetEV+21%reference odds
    • Over 3.544% probability@2.65BetsafeEV+15%reference odds
    Bookmaker1 · UdineseX2 · Roma
    Betsafe5.604.20
    EV+ 3%
    1.55
    LeoVegas5.254.30
    EV+ 5%
    1.57
    Nordicbet5.654.20
    EV+ 5%
    1.58

    Odds updated 27 Oct, 14:36

    Odds movement

    1-12 %
    20 %15 %

    6.00 → 5.25

    X-2 %
    25 %20 %

    4.40 → 4.30

    2+5 %
    63 %58 %

    1.50 → 1.57

    Over 2,5-5 %
    59 %54 %

    1.70 → 1.61

    LeoVegas · 18 recorded price levels · 25/10/2026 → 27/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    10 matches
    Udinese 2Draw 1Roma 7
    Goals: 9–17 (⌀ 2,6)

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

    Key facts

    • AS Roma dominate this fixture historically: 7 wins to 2 in 10 meetings.
    • Udinese Calcio have lost 5 in a row.
    • AS Roma are unbeaten in their last 14 league matches.
    xG & xGA per match — 3-game rolling average

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

    Udinese
    Roma
    When goals are scored and conceded — 2026
    Udinese (9–16)
    Roma (16–3)
    Pass networks

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

    Udinese
    Enzo Ebosse: 274 passningar, xT 0.66EbosseMërgim Vojvoda: 225 passningar, xT 0.54VojvodaJesper Karlström: 225 passningar, xT 0.16KarlströmOumar Solet: 178 passningar, xT 0.14SoletJames Abankwah: 159 passningar, xT 0.14AbankwahMaduka Okoye: 143 passningar, xT 0.2OkoyeJurgen Ekkelenkamp: 142 passningar, xT 0.28EkkelenkampHassane Kamara: 138 passningar, xT 0.38KamaraGiorgi Chakvetadze: 111 passningar, xT 0.12ChakvetadzeChristian Kabasele: 90 passningar, xT 0.05KabaseleLennon Miller: 74 passningar, xT -0.04Miller
    Roma
    Mario Hermoso: 193 passningar, xT 1.08HermosoBryan Cristante: 160 passningar, xT 0.25CristanteNahuel Molina Lucero: 150 passningar, xT 0.71LuceroMatias Soule: 147 passningar, xT 0.82SouleWesley França: 144 passningar, xT 0.82FrançaEvan Ndicka: 133 passningar, xT 0.09NdickaGianluca Mancini: 127 passningar, xT 0.35ManciniLeonardo Julián Balerdi Rosa: 126 passningar, xT 0.26RosaPaulo Dybala: 125 passningar, xT 1.17DybalaManu Kone: 114 passningar, xT 0.16KoneMarten De Roon: 108 passningar, xT 0.04Roon
    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.

    Udinese
    Enzo Ebosse: 274 passningar, xT 0.66EbosseMërgim Vojvoda: 225 passningar, xT 0.54VojvodaJesper Karlström: 225 passningar, xT 0.16KarlströmOumar Solet: 178 passningar, xT 0.14SoletJames Abankwah: 159 passningar, xT 0.14AbankwahMaduka Okoye: 143 passningar, xT 0.2OkoyeJurgen Ekkelenkamp: 142 passningar, xT 0.28EkkelenkampHassane Kamara: 138 passningar, xT 0.38KamaraGiorgi Chakvetadze: 111 passningar, xT 0.12ChakvetadzeChristian Kabasele: 90 passningar, xT 0.05KabaseleLennon Miller: 74 passningar, xT -0.04Miller
    Roma
    Mario Hermoso: 193 passningar, xT 1.08HermosoBryan Cristante: 160 passningar, xT 0.25CristanteNahuel Molina Lucero: 150 passningar, xT 0.71LuceroMatias Soule: 147 passningar, xT 0.82SouleWesley França: 144 passningar, xT 0.82FrançaEvan Ndicka: 133 passningar, xT 0.09NdickaGianluca Mancini: 127 passningar, xT 0.35ManciniLeonardo Julián Balerdi Rosa: 126 passningar, xT 0.26RosaPaulo Dybala: 125 passningar, xT 1.17DybalaManu Kone: 114 passningar, xT 0.16KoneMarten De Roon: 108 passningar, xT 0.04Roon

    The teams in numbers

    PerformanceUdineseRoma
    Points417
    xPoints6.914.1
    xG per match1.12.3
    xGA per match1.80.8
    xG within 8s of winning the ball0.180.63
    xGA within 8s of losing the ball0.440.09
    Playing styleUdineseRoma
    Build-up efficiency0.280.29
    Field tilt0.550.63
    xT per match1.11.7
    xTA per match0.940.69
    Won balls, offensive half2531
    Pressing intensity0.220.23
    Pressing efficiency0.260.29
    Pressing efficiency, offensive half0.220.24
    Entries into the box per match1321
    Entries into the box against129
    Pass completion %0.790.8
    Pass completion % under pressure0.750.75
    Passes per match405456
    Passes against per match398356
    Switches of play per match28.234.7
    Long balls per match3432
    Set piecesUdineseRoma
    xG from free kicks0.010.01
    Corners per match3.95.1
    Corners against per match5.82.6
    xG per corner0.030.04
    xGA per corner against0.070.07
    First touch, offensive corners %0.590.67
    First touch, defensive corners %0.50.53
    OtherUdineseRoma
    Throw-in control0.690.69
    The goalkeepersMaduka Okoye (Udinese)Mile Svilar (Roma)
    Saves3114
    Save %66%82%
    xG prevented47%74%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Hela spelschemat med svårighetsgrad per match: Udinese spelschemaRoma spelschema

    Frequently asked questions

    Who wins Udinese vs Roma according to our model?

    The model gives Roma a 67% win probability. Full 1X2 picture: Udinese 14%, draw 19%, Roma 67%.

    What is the most likely scoreline?

    The model's most likely final score is 0-2 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 65% and under at 35%.

    Will both teams score?

    The probability of both teams scoring is 57% according to the model.

    How many goals are expected in Udinese vs Roma?

    The model expects 0.99 goals (xG) for Udinese and 2.38 for Roma, 3.37 in total.

    What does the model say about double chance?

    Udinese or draw (1X) 33%, Roma or draw (X2) 86% and no draw (12) 81%.

    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.