Serie AStadio Via del Mare, Lecce29°16 km/h

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    LecceLecceLow block & direct
    vs
    RomaRomaPossession control
    The model's lean: 2 · Roma (61%)Best value by the model: 1 · Lecce @ 7.90 (+10 %)

    LecceRoma · Serie A

    1 · Lecce 14%X 25%61% Roma · 2

    Analysis: LecceRoma

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

    **FAKTA-sjekk: Én faktafeil funnet.**

    Oddsen 7.5 med 14% sannsynlighet tilsvarer Lecce (hjemmelaget), ikke Roma. Siste avsnitt antyder feilaktig at hjemmelaget er Roma. Korrigert tekst:

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    The model gives Roma a commanding 61% chance of victory over Lecce, underscoring their clear superiority in both form and metrics. With six consecutive wins, Roma's attacking consistency is a key factor, having found the net in 16 straight league encounters. Despite Lecce's own three-match winning streak, their underlying numbers tell a different story, with an expected goals (xG) tally of just 0.81 for this game compared to Roma's 1.47.

    The head-to-head record, albeit a small sample of four matches, shows a complete dominance by Roma, winning every encounter since 2021. Their possession-based style is likely to control the flow of the match against Lecce's direct approach. The expected goals against (xGA) further highlight Roma's defensive prowess, conceding an average of just 0.3 per match, compared to Lecce's 2.1. The most probable scorelines reflect this asymmetry: a 0-1 to Roma stands at 15%, with a 0-2 following at 11%.

    While the over 2.5 goals probability sits at 40%, the lean is toward a tighter affair, suggesting the under may be a safer call. For those looking for value in the odds, bets on Lecce (the home side) at 7.5 with Betsson or Nordicbet offer a 5% edge according to the model, though Roma's strong form casts doubt on such a long shot.

    LecceLecce
    Form WLWWW
    League ranking xG #4xGA #15xT #6xP/match #8Points #4
    Key players
    • Santiago PierottiCMxG 0.42 · xT 0.13
    RomaRoma
    Form WWWWW
    League ranking xG #1xGA #1xT #2xP/match #1Points #1
    Key players
    • Donyell MalenFxG 0.71 · xT 0.11
    • Zeki CelikRWBxG 0.11 · xT 0.11
    • Wesley FrançaLWBxG 0.05 · xT 0.18

    Match prediction: LecceRoma

    Predicted score matrix

    Roma
    Lecce
    0
    1
    2
    3
    4+
    0
    0–010.6%
    0–114.7%
    0–211.1%
    0–35.4%
    0–4+2.8%
    1
    1–07.9%
    1–112.5%
    1–29.0%
    1–34.4%
    1–4+2.2%
    2
    2–03.3%
    2–14.9%
    2–23.6%
    2–31.8%
    2–4+0.9%
    3
    3–00.9%
    3–11.3%
    3–21.0%
    3–30.5%
    3–4+0.2%
    4+
    4+–00.2%
    4+–10.3%
    4+–20.2%
    4+–30.1%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.0-115%
    2. 2.1-113%
    3. 3.0-211%
    4. 4.0-011%
    5. 5.1-29%
    Expected goals
    0,811,47
    Both teams to score
    43%

    Over/under goals

    Expected goals: 2,3
    Under 2,560%
    @1.76EV+5%
    Over 2,540%
    @2.13

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Roma to win61%
    • Under 3.5 goals80%

    Combined probability

    40%

    Fair odds

    2.49

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

    02 · 3 legs

    Balanced

    • Roma to win61%
    • Under 2.5 goals60%
    • Leon Patrick Bailey Butler to score29%

    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 score43%
    • Over 2.5 goals40%
    • Leon Patrick Bailey Butler to score29%
    • Ylber Ramadani 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+).

    • 1 · Lecce14% probability@7.90BetsafeEV+10%reference odds
    • 1 · Lecce14% probability@7.90NordicbetEV+10%reference odds
    • Under 1.533% probability@3.20BetsafeEV+6%reference odds
    Bookmaker1 · LecceX2 · Roma
    Betsafe
    EV+ 10%
    7.90
    3.851.49
    Betsson
    EV+ 3%
    7.40
    3.901.52
    Nordicbet
    EV+ 10%
    7.90
    3.901.49
    Pinnacle6.88
    EV+ 4%
    4.12
    1.53

    Odds updated 27 Aug, 14:38

    Odds movement

    Market signal

    The market has moved clearly towards an Roma win since 24 August — the odds have shortened from 1.70 to 1.53 (−10%).

    1+26 %
    21 %11 %

    5.466.88

    X+14 %
    30 %20 %

    3.624.12

    2-10 %
    64 %54 %

    1.701.53

    Over 2,5-8 %
    48 %38 %

    2.322.13

    Pinnacle · 5 recorded price levels · 24/08/2026 → 26/08/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    4 matches
    Lecce 0Draw 0Roma 4
    Goals: 18 (⌀ 2,2)

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

    Key facts

    • Lecce come into this round on 3 straight wins.
    • AS Roma come into this round on 6 straight wins.
    • AS Roma have scored in 16 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Lecce
    Roma
    When goals are scored and conceded 2026
    Lecce (20)
    Roma (40)
    Pass networks

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

    Lecce
    Oumar Jacky Ngom: 24 passningar, xT 0.01NgomDanilo Veiga: 23 passningar, xT 0.05VeigaSantiago Pierotti: 23 passningar, xT 0.08PierottiLassana Coulibaly: 21 passningar, xT 0.01CoulibalyJamil Siebert: 18 passningar, xT 0.37SiebertWladimiro Falcone: 14 passningar, xT 0.04FalconeKialonda Gaspar: 12 passningar, xT 0GasparCorrie Ndaba: 11 passningar, xT 0.03NdabaOlaf Gorter: 8 passningar, xT 0.02GorterKonan Ndri: 8 passningar, xT 0.01NdriYoussef Maleh: 8 passningar, xT 0.4Maleh
    Roma
    Bryan Cristante: 72 passningar, xT 0.14CristanteEvan Ndicka: 64 passningar, xT 0.02NdickaManu Kone: 50 passningar, xT 0.03KoneGianluca Mancini: 42 passningar, xT 0.11ManciniMario Hermoso: 42 passningar, xT 0.05HermosoWesley França: 40 passningar, xT 0.45FrançaMile Svilar: 35 passningar, xT 0.01SvilarEmanuele Lulli: 33 passningar, xT 0.01LulliPaulo Dybala: 32 passningar, xT 0.75DybalaMatias Soule: 16 passningar, xT -0.01SouleDonyell Malen: 14 passningar, xT 0.05Malen
    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.

    Lecce
    Oumar Jacky Ngom: 24 passningar, xT 0.01NgomDanilo Veiga: 23 passningar, xT 0.05VeigaSantiago Pierotti: 23 passningar, xT 0.08PierottiLassana Coulibaly: 21 passningar, xT 0.01CoulibalyJamil Siebert: 18 passningar, xT 0.37SiebertWladimiro Falcone: 14 passningar, xT 0.04FalconeKialonda Gaspar: 12 passningar, xT 0GasparCorrie Ndaba: 11 passningar, xT 0.03NdabaOlaf Gorter: 8 passningar, xT 0.02GorterKonan Ndri: 8 passningar, xT 0.01NdriYoussef Maleh: 8 passningar, xT 0.4Maleh
    Roma
    Bryan Cristante: 72 passningar, xT 0.14CristanteEvan Ndicka: 64 passningar, xT 0.02NdickaManu Kone: 50 passningar, xT 0.03KoneGianluca Mancini: 42 passningar, xT 0.11ManciniMario Hermoso: 42 passningar, xT 0.05HermosoWesley França: 40 passningar, xT 0.45FrançaMile Svilar: 35 passningar, xT 0.01SvilarEmanuele Lulli: 33 passningar, xT 0.01LulliPaulo Dybala: 32 passningar, xT 0.75DybalaMatias Soule: 16 passningar, xT -0.01SouleDonyell Malen: 14 passningar, xT 0.05Malen

    The teams in numbers

    PerformanceLecceRoma
    Points33
    xPoints1.72.8
    xG per match2.33.3
    xGA per match2.10.3
    xG within 8s of winning the ball0.930.74
    xGA within 8s of losing the ball0.220.12
    Playing styleLecceRoma
    Build-up efficiency0.280.29
    Field tilt0.230.68
    xT per match1.22
    xTA per match1.10.49
    Won balls, offensive half1521
    Pressing intensity0.240.22
    Pressing efficiency0.330.39
    Pressing efficiency, offensive half0.280.34
    Entries into the box per match1018
    Entries into the box against124
    Pass completion %0.650.84
    Pass completion % under pressure0.530.79
    Passes per match188503
    Passes against per match552291
    Switches of play per match12.131.2
    Long balls per match1632
    Set piecesLecceRoma
    xG from free kicks00
    Corners per match32.1
    Corners against per match53.1
    xG per corner0.220
    xGA per corner against00
    First touch, offensive corners %0.330.5
    First touch, defensive corners %0.80.67
    OtherLecceRoma
    Throw-in control0.450.75
    The goalkeepersWladimiro Falcone (Lecce)Mile Svilar (Roma)
    Saves65
    Save %100%100%
    xG prevented100%100%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Lecce vs Roma according to our model?

    The model gives Roma a 61% win probability. Full 1X2 picture: Lecce 14%, draw 25%, Roma 61%.

    What is the most likely scoreline?

    The model's most likely final score is 0-1 at 15% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 40% and under at 60%.

    Will both teams score?

    The probability of both teams scoring is 43% 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.