La LigaRamón Sánchez-Pizjuán, Sevilla26°10 km/h

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    Sevilla FCSevilla FCPossession control
    vs
    Atlético de MadridAtlético de MadridPossession & high press
    The model's lean: 2 · Atlético de Madrid (49%)

    Sevilla FCAtlético de Madrid · La Liga

    1 · Sevilla FC 24%X 27%49% Atlético de Madrid · 2

    Analysis: Sevilla FCAtlético de Madrid

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

    TEXT: The clash between Sevilla FC and Atlético de Madrid presents an intriguing mix of styles and statistical edges. Sevilla, with their possession control tactics, will look to dictate the pace, while Atlético's high press might disrupt their rhythm. Despite Sevilla's recent head-to-head difficulties against the visitors, having lost three of their last four encounters since 2022, the numbers reveal an unexpected twist. Sevilla edges Atlético in expected points and expected goals per game, highlighting their ability to generate quality chances even if the scoreboard hasn't always reflected it.

    The model leans towards Atlético with a 49% win probability. The most likely scorelines — 1-1 and 0-1 — suggest a tight contest, but with both teams to score rated at 55%, there’s potential for a more open game than it first appears. Sevilla's expected goals at 1.18 against Atlético's 1.56 indicate a match where chances could come for both sides, despite the visitors' slight upper hand in expected goals against.

    While head-to-head history tilts towards Atlético, Sevilla's defensive vulnerabilities (xGA of 1.5) mean they could struggle to maintain a clean sheet. The over 2.5 goals market, with a probability of 52%, catches the eye here. At odds of 1.97 with Betsafe, Betsson, and Nordicbet, there's a 2% edge to exploit, suggesting value for those anticipating a match that breaks open rather than stays tight.

    In a contest where possession might not entirely dictate the outcome, the edge lies in capitalizing on those over 2.5 odds. With both teams capable of scoring and a slight edge for Sevilla in creating chances, this match might defy its more cautious probabilities and lean towards the over market, offering a sharp betting angle for value seekers.

    Sevilla FCSevilla FC
    Form WLLWW
    League ranking xG #7xGA #15xT #7xP/match #8Points #1
    Key players
    • OsoLWxG 0.17 · xT 0.11
    • Peque FernandezFxG 0.89 · xT 0.05
    • Gabriel SuazoLWBxG 0.00 · xT 0.09
    Atlético de MadridAtlético de Madrid
    Form WWLWD
    League ranking xG #12xGA #13xT #5xP/match #15Points #2
    Key players
    • Kang-In LeeFxG 0.40 · xT 0.16
    • Alejandro Grimaldo GarcíaLWBxG 0.01 · xT -0.01
    • Ademola LookmanFxG 0.13 · xT 0.15

    Match prediction: Sevilla FCAtlético de Madrid

    Predicted score matrix

    Atlético de Madrid
    Sevilla FC
    0
    1
    2
    3
    4+
    0
    0–06.8%
    0–19.7%
    0–27.9%
    0–34.1%
    0–4+2.3%
    1
    1–07.2%
    1–112.2%
    1–29.3%
    1–34.8%
    1–4+2.7%
    2
    2–04.5%
    2–17.0%
    2–25.5%
    2–32.9%
    2–4+1.6%
    3
    3–01.8%
    3–12.8%
    3–22.1%
    3–31.1%
    3–4+0.6%
    4+
    4+–00.7%
    4+–11.0%
    4+–20.8%
    4+–30.4%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.0-110%
    3. 3.1-29%
    4. 4.0-28%
    5. 5.1-07%
    Expected goals
    1,181,56
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,7
    Under 2,548%
    @1.92
    Over 2,552%
    @2.02EV+4%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Atlético de Madrid to win49%
    • Over 1.5 goals76%

    Combined probability

    36%

    Fair odds

    2.77

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

    02 · 3 legs

    Balanced

    • Atlético de Madrid to win49%
    • Over 2.5 goals52%
    • Julián Alvarez to score27%

    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 goals52%
    • Julián Alvarez to score27%
    • Jorge Resurrección Merodio to be booked25%

    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 · Atlético de Madrid49% probability@2.18Betfair ExchangeEV+6%reference odds
    • Over 2.552% probability@2.02Betfair ExchangeEV+4%reference odds
    • Both teams to score: Yes55% probability@1.85Betfair ExchangeEV+2%reference odds
    Bookmaker1 · Sevilla FCX2 · Atlético de Madrid
    Betfair Exchange3.553.65
    EV+ 6%
    2.18
    Betsafe3.553.40
    EV+ 2%
    2.08
    Betsson3.553.40
    EV+ 2%
    2.08
    Nordicbet3.553.40
    EV+ 2%
    2.08
    Pinnacle3.663.55
    EV+ 1%
    2.07

    Odds updated 25 Aug, 13:36

    Odds movement

    1+1 %
    29 %24 %

    3.613.66

    X+1 %
    30 %25 %

    3.523.55

    20 %
    49 %44 %

    2.072.07

    Over 2,50 %
    52 %47 %

    1.941.95

    Pinnacle · 3 recorded price levels · 24/08/2026 → 25/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Sevilla FC 1Draw 0Atlético de Madrid 3
    Goals: 610 (⌀ 4)

    Head-to-head based on La Liga data since 2022.

    xG & xGA per match — 3-game rolling average

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

    Sevilla FC
    Atlético de Madrid
    When goals are scored and conceded 2026
    Sevilla FC (52)
    Atlético de Madrid (42)
    Pass networks

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

    Sevilla FC
    Gabriel Suazo: 68 passningar, xT 0.12SuazoArouna Sangante: 65 passningar, xT 0.07SanganteOdysseas Vlachodimos: 45 passningar, xT 0.05VlachodimosJuan Iglesias: 45 passningar, xT 0.35IglesiasLucien Agoume: 43 passningar, xT 0.2AgoumeAndrés Castrín: 36 passningar, xT 0.1CastrínJon Guridi: 30 passningar, xT 0.01GuridiKike Salas: 30 passningar, xT 0.11SalasOso: 21 passningar, xT 0.18OsoNicolás Guillén Peguero: 18 passningar, xT -0.01PegueroPeque Fernandez: 13 passningar, xT 0.03Fernandez
    Atlético de Madrid
    Dávid Hancko: 146 passningar, xT 0.42HanckoKoke: 97 passningar, xT 0.25KokeMorten Blom Due Hjulmand: 71 passningar, xT 0.01HjulmandPablo Barrios: 71 passningar, xT 0.32BarriosRobin Le Normand: 59 passningar, xT 0.06NormandJan Oblak: 56 passningar, xT -0.01OblakMarcos Llorente: 53 passningar, xT 0.08LlorenteDaniel Martínez Moreno: 53 passningar, xT 0.02MorenoAlejandro Grimaldo García: 46 passningar, xT -0.04GarcíaGiuliano Simeone: 43 passningar, xT 0.05SimeoneKang-In Lee: 38 passningar, xT 0.14Lee
    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.

    Sevilla FC
    Gabriel Suazo: 68 passningar, xT 0.12SuazoArouna Sangante: 65 passningar, xT 0.07SanganteOdysseas Vlachodimos: 45 passningar, xT 0.05VlachodimosJuan Iglesias: 45 passningar, xT 0.35IglesiasLucien Agoume: 43 passningar, xT 0.2AgoumeAndrés Castrín: 36 passningar, xT 0.1CastrínJon Guridi: 30 passningar, xT 0.01GuridiKike Salas: 30 passningar, xT 0.11SalasOso: 21 passningar, xT 0.18OsoNicolás Guillén Peguero: 18 passningar, xT -0.01PegueroPeque Fernandez: 13 passningar, xT 0.03Fernandez
    Atlético de Madrid
    Dávid Hancko: 146 passningar, xT 0.42HanckoKoke: 97 passningar, xT 0.25KokeMorten Blom Due Hjulmand: 71 passningar, xT 0.01HjulmandPablo Barrios: 71 passningar, xT 0.32BarriosRobin Le Normand: 59 passningar, xT 0.06NormandJan Oblak: 56 passningar, xT -0.01OblakMarcos Llorente: 53 passningar, xT 0.08LlorenteDaniel Martínez Moreno: 53 passningar, xT 0.02MorenoAlejandro Grimaldo García: 46 passningar, xT -0.04GarcíaGiuliano Simeone: 43 passningar, xT 0.05SimeoneKang-In Lee: 38 passningar, xT 0.14Lee

    The teams in numbers

    PerformanceSevilla FCAtlético de Madrid
    Points64
    xPoints2.91.9
    xG per match1.40.85
    xGA per match1.51.4
    xG within 8s of winning the ball0.280.38
    xGA within 8s of losing the ball0.660.14
    Playing styleSevilla FCAtlético de Madrid
    Build-up efficiency0.290.32
    Field tilt0.370.58
    xT per match0.811.1
    xTA per match0.730.64
    Won balls, offensive half2934
    Pressing intensity0.220.22
    Pressing efficiency0.290.27
    Pressing efficiency, offensive half0.210.33
    Entries into the box per match716
    Entries into the box against118
    Pass completion %0.660.82
    Pass completion % under pressure0.590.76
    Passes per match223432
    Passes against per match338382
    Switches of play per match22.937.7
    Long balls per match2837
    Set piecesSevilla FCAtlético de Madrid
    xG from free kicks00.02
    Corners per match1.95.2
    Corners against per match5.81.9
    xG per corner00.02
    xGA per corner against0.050
    First touch, offensive corners %0.50.64
    First touch, defensive corners %0.50.5
    OtherSevilla FCAtlético de Madrid
    Throw-in control0.670.78
    The goalkeepersOdysseas Vlachodimos (Sevilla FC)Jan Oblak (Atlético de Madrid)
    Saves85
    Save %80%71%
    xG prevented35%23%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Sevilla FC vs Atlético de Madrid according to our model?

    The model gives Atlético de Madrid a 49% win probability. Full 1X2 picture: Sevilla FC 24%, draw 27%, Atlético de Madrid 49%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 52% and under at 48%.

    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.