La LigaMestalla, Valencia18°9 km/h

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    ValenciaValenciaCounter-attacks & crosses
    vs
    VillarrealVillarrealPossession & high press
    The model's lean: 2 · Villarreal (56%)

    Valencia vs Villarreal · La Liga

    1 · Valencia 20%X 24%56% Villarreal · 2

    Prediction summary

    BetBuilders AI model prediction for Valencia vs Villarreal (La Liga, Saturday, 24 October 2026): Valencia win 20%, draw 24%, Villarreal win 56%. Expected goals (xG): Valencia 1.14, Villarreal 1.93. Most likely score: 1-1 (10%). Over 2.5 goals 59%, both teams to score 59%. Double chance: Valencia or draw 44%, Villarreal or draw 80%. Prediction updated Saturday, 17 October 2026.

    Bet on this match

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    Analysis: Valencia – Villarreal

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

    Villarreal enters this match with a commanding 56% probability of victory, underscoring their dominance in recent form and head-to-head encounters. The hosts have not beaten their regional rivals in the last four meetings, a small sample size but still telling. Valencia's reliance on counter-attacks contrasts sharply with the visitors' possession-based approach, which is likely to dictate the game's rhythm.

    The model leans towards Villarreal, reflecting their superior xG of 1.8 per match compared to Valencia's 0.89. Expected goals against further tilt the scales, with the visitors boasting a lower xGA of 1.1 versus the 1.5 of the hosts. Despite Valencia's home advantage, these metrics strongly favor the visitors. The market's over 2.5 goals probability is 59%, which aligns with the open playing style both teams often exhibit.

    In betting terms, significant value lies with Villarreal at odds 2.2 with LeoVegas and 2.18 with Betsafe and Nordicbet, given the model's 56% win rating—a 22-23% edge over bookmaker odds. With a projected most likely scoreline of 1-2, backing the visitors not only fits the data but presents an attractive betting proposition.

    ValenciaValencia
    Form LWLDD
    League ranking xG #18xGA #14xT #21xP/match #15Points #19
    Key players
    • Guido RodríguezCDMxG 0.02 · xT 0.01
    • PepeluCBxG 0.01 · xT 0.07
    • David Otorbi EjedewaweRWxG 0.15 · xT 0.22
    VillarrealVillarreal
    Form LWWLD
    League ranking xG #3xGA #6xT #2xP/match #4Points #14
    Key players
    • Pau NavarroCBxG 0.00 · xT 0.05
    • Juan FoythCBxG 0.06 · xT 0.17
    • Nicolas PépéRWxG 0.14 · xT 0.14

    Match prediction: Valencia – Villarreal

    Predicted score matrix

    Villarreal →
    Valencia →
    0
    1
    2
    3
    4+
    0
    0–04.9%
    0–18.6%
    0–28.6%
    0–35.6%
    0–4+4.2%
    1
    1–05.0%
    1–110.5%
    1–29.9%
    1–36.3%
    1–4+4.8%
    2
    2–03.0%
    2–15.8%
    2–25.6%
    2–33.6%
    2–4+2.7%
    3
    3–01.1%
    3–12.2%
    3–22.1%
    3–31.4%
    3–4+1.0%
    4+
    4+–00.4%
    4+–10.8%
    4+–20.8%
    4+–30.5%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.1-210%
    3. 3.0-19%
    4. 4.0-29%
    5. 5.1-36%
    Expected goals
    1,14–1,93
    Both teams to score
    59%

    Over/under goals

    Expected goals: 3,1
    Under 2,541%
    @2.13
    Over 2,559%
    @1.73EV+3%

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Villarreal to win56%
    • Over 1.5 goals81%

    Combined probability

    47%

    Fair odds

    2.14

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

    02 · 3 legs

    Balanced

    • Villarreal to win56%
    • Over 2.5 goals59%
    • Ayoze Pérez Gutiérrez to score25%

    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 score59%
    • Over 2.5 goals59%
    • Aaron Ndive Mayol de la Cueva to score27%
    • Renato Palma Veiga 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+).

    • 2 · Villarreal56% probability@2.25LeoVegasEV+26%reference odds
    • 2 · Villarreal56% probability@2.18BetsafeEV+22%reference odds
    • 2 · Villarreal56% probability@2.18NordicbetEV+22%reference odds
    Bookmaker1 · ValenciaX2 · Villarreal
    Betsafe3.103.65
    EV+ 22%
    2.18
    LeoVegas3.053.50
    EV+ 26%
    2.25
    Nordicbet3.103.60
    EV+ 22%
    2.18

    Odds updated 22 Oct, 06:37

    Odds movement

    1-5 %
    33 %28 %

    3.20 → 3.05

    X-3 %
    29 %24 %

    3.60 → 3.50

    2+5 %
    46 %41 %

    2.15 → 2.25

    Over 2,50 %
    58 %53 %

    1.67 → 1.67

    LeoVegas · 27 recorded price levels · 17/10/2026 → 22/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Valencia 0Draw 2Villarreal 2
    Goals: 3–6 (⌀ 2,2)

    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).

    Valencia
    Villarreal
    When goals are scored and conceded — 2026
    Valencia (6–15)
    Villarreal (13–13)
    Pass networks

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

    Valencia
    Pepelu: 252 passningar, xT 0.31PepeluJose Gaya: 189 passningar, xT 0.34GayaJustin de Haas: 167 passningar, xT 0.18HaasPablo Maffeo: 151 passningar, xT 0.26MaffeoGuido Rodríguez: 139 passningar, xT 0.03RodríguezStole Dimitrievski: 129 passningar, xT 0.14DimitrievskiFilip Ugrinic: 126 passningar, xT 0.05UgrinicJavi Guerra: 91 passningar, xT 0.21GuerraArnaut Danjuma: 80 passningar, xT 0.49DanjumaAaron Ndive Mayol de la Cueva: 67 passningar, xT 0.03CuevaAliou Dieng: 53 passningar, xT 0.04Dieng
    Villarreal
    Renato Veiga: 320 passningar, xT 0.99VeigaAlex Freeman: 284 passningar, xT 0.46FreemanPau Navarro: 253 passningar, xT 0.2NavarroSergi Cardona: 201 passningar, xT 0.51CardonaAlberto Moleiro: 168 passningar, xT 0.87MoleiroPape Gueye: 162 passningar, xT 0.38GueyeSanti Comesana: 160 passningar, xT 0.33ComesanaNathan-Dylan Saliba: 141 passningar, xT 0.03SalibaPeter Gulacsi: 134 passningar, xT 0.01GulacsiJuan Foyth: 103 passningar, xT 0.15FoythCarlos Romero: 86 passningar, xT 0.07Romero
    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.

    Valencia
    Pepelu: 252 passningar, xT 0.31PepeluJose Gaya: 189 passningar, xT 0.34GayaJustin de Haas: 167 passningar, xT 0.18HaasPablo Maffeo: 151 passningar, xT 0.26MaffeoGuido Rodríguez: 139 passningar, xT 0.03RodríguezStole Dimitrievski: 129 passningar, xT 0.14DimitrievskiFilip Ugrinic: 126 passningar, xT 0.05UgrinicJavi Guerra: 91 passningar, xT 0.21GuerraArnaut Danjuma: 80 passningar, xT 0.49DanjumaAaron Ndive Mayol de la Cueva: 67 passningar, xT 0.03CuevaAliou Dieng: 53 passningar, xT 0.04Dieng
    Villarreal
    Renato Veiga: 320 passningar, xT 0.99VeigaAlex Freeman: 284 passningar, xT 0.46FreemanPau Navarro: 253 passningar, xT 0.2NavarroSergi Cardona: 201 passningar, xT 0.51CardonaAlberto Moleiro: 168 passningar, xT 0.87MoleiroPape Gueye: 162 passningar, xT 0.38GueyeSanti Comesana: 160 passningar, xT 0.33ComesanaNathan-Dylan Saliba: 141 passningar, xT 0.03SalibaPeter Gulacsi: 134 passningar, xT 0.01GulacsiJuan Foyth: 103 passningar, xT 0.15FoythCarlos Romero: 86 passningar, xT 0.07Romero

    The teams in numbers

    PerformanceValenciaVillarreal
    Points69
    xPoints1114.5
    xG per match0.891.8
    xGA per match1.51.1
    xG within 8s of winning the ball0.190.21
    xGA within 8s of losing the ball0.460.16
    Playing styleValenciaVillarreal
    Build-up efficiency0.30.34
    Field tilt0.360.68
    xT per match0.571.5
    xTA per match1.10.74
    Won balls, offensive half1824
    Pressing intensity0.250.23
    Pressing efficiency0.250.3
    Pressing efficiency, offensive half0.20.25
    Entries into the box per match1018
    Entries into the box against1612
    Pass completion %0.760.83
    Pass completion % under pressure0.710.75
    Passes per match353504
    Passes against per match440309
    Switches of play per match23.627.7
    Long balls per match3029
    Set piecesValenciaVillarreal
    xG from free kicks0.010.03
    Corners per match47.1
    Corners against per match4.54.4
    xG per corner0.020.01
    xGA per corner against0.020.03
    First touch, offensive corners %0.440.54
    First touch, defensive corners %0.720.53
    OtherValenciaVillarreal
    Throw-in control0.70.71
    The goalkeepersStole Dimitrievski (Valencia)Peter Gulacsi (Villarreal)
    Saves3314
    Save %72%74%
    xG prevented42%59%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Valencia vs Villarreal according to our model?

    The model gives Villarreal a 56% win probability. Full 1X2 picture: Valencia 20%, draw 24%, Villarreal 56%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 59% and under at 41%.

    Will both teams score?

    The probability of both teams scoring is 59% according to the model.

    How many goals are expected in Valencia vs Villarreal?

    The model expects 1.14 goals (xG) for Valencia and 1.93 for Villarreal, 3.07 in total.

    What does the model say about double chance?

    Valencia or draw (1X) 44%, Villarreal or draw (X2) 80% and no draw (12) 76%.

    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.