Liga MXEstadio Corona, Torreón27°24 km/h

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    Santos LagunaSantos LagunaCounter-attacks & crosses
    vs
    PachucaPachucaCounter-attacks & crosses
    The model's lean: 2 · Pachuca (42%)Best value by the model: Under 0,5 @ 15.00 (+19 %)

    Santos Laguna vs Pachuca · Liga MX

    1 · Santos Laguna 33%X 25%42% Pachuca · 2

    Analysis: Santos Laguna – Pachuca

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    The betting section contains fabricated details not supported by the FACTS (specific odds of 2.50 and bookmaker "Bet365" are not provided anywhere in the data). This is an unsupported claim and should be removed or generalized.

    CORRECTED TEXT:

    A matchup of counter-attacking sides, both Santos Laguna and Pachuca favor crosses to unlock defenses. In this context, the visitors hold a narrow statistical edge. Pachuca's 42% likelihood of victory suggests they could control the game's narrative, though a tight affair is more likely than a goal-laden spectacle.

    Considering the small sample size of their head-to-head record, Pachuca has a slight historical advantage with two wins to Santos Laguna's one. However, these past encounters are less significant than the present form. The teams' expected goals (xG) numbers are nearly identical, with Pachuca at 1.35 and Santos Laguna at 1.23, hinting at a balanced but cautious contest.

    In terms of scoring potential, the most probable outcomes lean towards a 1-1 draw or a narrow 1-0 victory for either team. With an over 2.5 goals probability at just 48%, the under appears a safer choice, aligning with the expectation of a defensively controlled game. Both teams to score stands at 53%, suggesting a slight inclination towards both finding the net once.

    From a betting perspective, the model's lean favors Pachuca, supported by their stronger season performance and their 42% chance of winning. While far from a sure thing—Pachuca's edge is modest—this represents the game's crisper line.

    Santos LagunaSantos Laguna
    Form LLDLW
    League ranking xG #12xGA #14xT #4xP/match #16Points #17
    Key players
    • Ezequiel Eduardo BullaudeFxG 0.27 · xT 0.06
    • Emmanuel EcheverriaLWBxG 0.06 · xT 0.28
    • Fran VillalbaCAMxG 0.11 · xT 0.16
    PachucaPachuca
    Form LDDWW
    League ranking xG #10xGA #13xT #8xP/match #12Points #11
    Key players
    • Salomon RondonFxG 0.62 · xT 0.02
    • Oussama IdrissiLWxG 0.11 · xT 0.26
    • Christian RiveraCDMxG 0.02 · xT 0.05

    Match prediction: Santos Laguna – Pachuca

    Predicted score matrix

    Pachuca →
    Santos Laguna →
    0
    1
    2
    3
    4+
    0
    0–07.9%
    0–19.8%
    0–26.9%
    0–33.1%
    0–4+1.4%
    1
    1–08.9%
    1–112.9%
    1–28.5%
    1–33.8%
    1–4+1.7%
    2
    2–05.7%
    2–17.7%
    2–25.2%
    2–32.4%
    2–4+1.1%
    3
    3–02.3%
    3–13.2%
    3–22.1%
    3–31.0%
    3–4+0.4%
    4+
    4+–00.9%
    4+–11.3%
    4+–20.9%
    4+–30.4%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-110%
    3. 3.1-09%
    4. 4.1-29%
    5. 5.0-08%
    Expected goals
    1,23–1,35
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,6
    Under 2,552%
    @2.22EV+16%
    Over 2,548%
    @1.60

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Pachuca or draw (X2)66%
    • Under 3.5 goals74%

    Combined probability

    49%

    Fair odds

    2.03

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

    02 · 3 legs

    Balanced

    • Double chance Pachuca or draw (X2)66%
    • Under 2.5 goals52%
    • José Salomón Rondón Giménez 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 score53%
    • Over 2.5 goals48%
    • José Salomón Rondón Giménez to score31%
    • Sergio Lenin Rodríguez Rodelas 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+).

    • Under 0.58% probability@15.00BetsafeEV+19%reference odds
    • Under 0.58% probability@15.00BetssonEV+19%reference odds
    • Under 0.58% probability@15.00NordicbetEV+19%reference odds
    Bookmaker1 · Santos LagunaX2 · Pachuca
    Betsafe
    EV+ 2%
    3.05    		3.452.15
    Betsson
    EV+ 2%
    3.05    		3.452.15
    Nordicbet
    EV+ 2%
    3.05    		3.452.15
    Pinnacle
    EV+ 3%
    3.10    		3.622.19

    Odds updated 21 Sept, 13:35

    Statistics

    Head-to-head

    4 matches
    Santos Laguna 1Draw 1Pachuca 2
    Goals: 5–7 (⌀ 3)

    Head-to-head based on Liga MX data since 2023.

    xG & xGA per match — 3-game rolling average

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

    Santos Laguna
    Pachuca
    When goals are scored and conceded — 2026
    Santos Laguna (6–13)
    Pachuca (13–8)
    Pass networks

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

    Santos Laguna
    Felipe Sánchez: 252 passningar, xT 0.27SánchezFranco Emanuel Pardo: 166 passningar, xT 0.37PardoFran Villalba: 163 passningar, xT 0.39VillalbaMauricio Aimar Cuevas: 162 passningar, xT 1.11CuevasCarlos Acevedo: 131 passningar, xT 0.08AcevedoAldo Lopez: 131 passningar, xT 0.03LopezEmmanuel Echeverria: 107 passningar, xT 0.93EcheverriaEfrain Orona: 106 passningar, xT 0.23OronaSalvador Mariscal: 105 passningar, xT 0.14MariscalKevin Alexander Palacios Salazar: 100 passningar, xT 0.44SalazarDiego Gonzalez: 95 passningar, xT 0.13Gonzalez
    Pachuca
    Carlos Sanchez: 178 passningar, xT 0.99SanchezChristian Rivera: 171 passningar, xT 0.25RiveraSergio Barreto: 154 passningar, xT 0.21BarretoOussama Idrissi: 141 passningar, xT 0.28IdrissiEduardo Bauermann: 140 passningar, xT 0.2BauermannFrancisco Venegas: 132 passningar, xT 0.35VenegasCarlos Moreno: 104 passningar, xT 0.22MorenoAlan Bautista: 94 passningar, xT 0.47BautistaElias Montiel: 87 passningar, xT 0.01MontielSergio Lenin Rodríguez Rodelas: 86 passningar, xT 0.04RodelasRobert Kenedy Nunes do Nascimento: 59 passningar, xT 0.11Nascimento
    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.

    Santos Laguna
    Felipe Sánchez: 252 passningar, xT 0.27SánchezFranco Emanuel Pardo: 166 passningar, xT 0.37PardoFran Villalba: 163 passningar, xT 0.39VillalbaMauricio Aimar Cuevas: 162 passningar, xT 1.11CuevasCarlos Acevedo: 131 passningar, xT 0.08AcevedoAldo Lopez: 131 passningar, xT 0.03LopezEmmanuel Echeverria: 107 passningar, xT 0.93EcheverriaEfrain Orona: 106 passningar, xT 0.23OronaSalvador Mariscal: 105 passningar, xT 0.14MariscalKevin Alexander Palacios Salazar: 100 passningar, xT 0.44SalazarDiego Gonzalez: 95 passningar, xT 0.13Gonzalez
    Pachuca
    Carlos Sanchez: 178 passningar, xT 0.99SanchezChristian Rivera: 171 passningar, xT 0.25RiveraSergio Barreto: 154 passningar, xT 0.21BarretoOussama Idrissi: 141 passningar, xT 0.28IdrissiEduardo Bauermann: 140 passningar, xT 0.2BauermannFrancisco Venegas: 132 passningar, xT 0.35VenegasCarlos Moreno: 104 passningar, xT 0.22MorenoAlan Bautista: 94 passningar, xT 0.47BautistaElias Montiel: 87 passningar, xT 0.01MontielSergio Lenin Rodríguez Rodelas: 86 passningar, xT 0.04RodelasRobert Kenedy Nunes do Nascimento: 59 passningar, xT 0.11Nascimento

    The teams in numbers

    PerformanceSantos LagunaPachuca
    Points411
    xPoints910.6
    xG per match1.31.3
    xGA per match1.51.5
    xG within 8s of winning the ball0.140.25
    xGA within 8s of losing the ball0.220.14
    Playing styleSantos LagunaPachuca
    Build-up efficiency0.280.32
    Field tilt0.470.46
    xT per match1.31.1
    xTA per match1.11.1
    Won balls, offensive half2326
    Pressing intensity0.240.23
    Pressing efficiency0.250.26
    Pressing efficiency, offensive half0.220.2
    Entries into the box per match1411
    Entries into the box against1413
    Pass completion %0.770.75
    Pass completion % under pressure0.740.72
    Passes per match380318
    Passes against per match398402
    Switches of play per match3731.1
    Long balls per match4244
    Set piecesSantos LagunaPachuca
    xG from free kicks0.030.09
    Corners per match7.74.4
    Corners against per match5.74.3
    xG per corner0.030.03
    xGA per corner against0.040.01
    First touch, offensive corners %0.410.61
    First touch, defensive corners %0.560.63
    OtherSantos LagunaPachuca
    Throw-in control0.650.7
    The goalkeepersCarlos Acevedo (Santos Laguna)Carlos Moreno (Pachuca)
    Saves4025
    Save %76%76%
    xG prevented47%31%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Santos Laguna
    Fixtures, form & tips
    Pachuca
    Fixtures, form & tips

    Frequently asked questions

    Who wins Santos Laguna vs Pachuca according to our model?

    The model gives Pachuca a 42% win probability. Full 1X2 picture: Santos Laguna 33%, draw 25%, Pachuca 42%.

    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 48% and under at 52%.

    Will both teams score?

    The probability of both teams scoring is 53% 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.