Liga MXEstadio BBVA, Monterrey29°16 km/h

    Läs på svenska
    MonterreyMonterreyPossession control
    vs
    Atlético San LuisAtlético San LuisCounter-attacks & crosses
    The model's lean: 1 · Monterrey (66%)

    MonterreyAtlético San Luis · Liga MX

    1 · Monterrey 66%X 20%14% Atlético San Luis · 2

    Analysis: MonterreyAtlético San Luis

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    The sharp edge? Monterrey at 1.55 with Bet365 appears to be value, considering their higher model probability and superior expected metrics. — This specific betting odds figure is not supported by the given facts and should be removed.

    Corrected TEXT:

    Monterrey versus Atlético San Luis is set up as a clash of styles. A team built around possession control meets a side relying on counter-attacks and crosses. The hosts are expected to dominate the ball, and with an expected goals tally of 2.26, they are likely to create more chances. San Luis, however, won't shy away from hitting on the break, looking to exploit any gaps with their 1.06 xG. The numbers suggest a balanced but competitive affair.

    Despite Monterrey's dominant home record, winning 58% of their matches, the head-to-head is tied at 3-3 since 2023. This small sample might make some hesitate, but Monterrey's superior xPoints (8.5 vs 5.9) on the season hints at a clearer edge. The model gives Monterrey a 66% probability of victory, indicating a statistical advantage.

    Goals seem probable here. The over 2.5 goals option looks attractive at 64%, driven by both teams' tendencies to find the net. Monterrey's attacking prowess at home aligns with their scoring average, while San Luis's counter-attacking strategy might just find the gaps in Monterrey's defense. The fixture has historically been high-scoring, with an average of 3.0 goals per game, and this match seems no different.

    Considering Monterrey's higher model probability and superior expected metrics, they look the stronger side on paper. As for the scoreline, 2-1 to Monterrey feels like the most plausible outcome. The betting angle leans towards Monterrey pulling through, with a nod towards the over on goals.

    MonterreyMonterrey
    Form WLWWL
    League ranking xG #1xGA #11xT #9xP/match #4Points #7
    Key players
    • Oliver TorresFxG 0.09 · xT 0.36
    • Diego Martín Rossi MarachlianFxG 0.58 · xT 0.13
    • Victor GuzmanCBxG 0.07 · xT 0.05
    Atlético San LuisAtlético San Luis
    Form LDDLD
    League ranking xG #15xGA #9xT #13xP/match #16Points #16
    Key players
    • Sebastien Salles LamongeCAMxG 0.09 · xT 0.10
    • Rafael Nicolas Llorente SanzFxG 0.30 · xT 0.11
    • Román Torres AcostaRWBxG 0.07 · xT 0.14

    Match prediction: MonterreyAtlético San Luis

    Predicted score matrix

    Atlético San Luis
    Monterrey
    0
    1
    2
    3
    4+
    0
    0–03.9%
    0–13.6%
    0–22.0%
    0–30.7%
    0–4+0.2%
    1
    1–07.9%
    1–18.9%
    1–24.6%
    1–31.6%
    1–4+0.5%
    2
    2–09.2%
    2–19.8%
    2–25.2%
    2–31.8%
    2–4+0.6%
    3
    3–06.9%
    3–17.4%
    3–23.9%
    3–31.4%
    3–4+0.5%
    4+
    4+–06.6%
    4+–17.0%
    4+–23.7%
    4+–31.3%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-110%
    2. 2.2-09%
    3. 3.1-19%
    4. 4.1-08%
    5. 5.3-17%
    Expected goals
    2,261,06
    Both teams to score
    59%

    Over/under goals

    Expected goals: 3,3
    Under 2,536%
    @2.42
    Over 2,564%
    @1.57EV+1%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Monterrey to win66%
    • Over 1.5 goals85%

    Combined probability

    56%

    Fair odds

    1.79

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

    02 · 3 legs

    Balanced

    • Monterrey to win66%
    • Over 2.5 goals64%
    • Diego Martín Rossi Marachlian to score39%

    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 goals64%
    • Diego Martín Rossi Marachlian to score39%
    • Óscar Uriel Macías Mora to be booked22%

    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 · Monterrey66% probability@1.67Paddy PowerEV+10%reference odds
    • Over 4.524% probability@4.50Paddy PowerEV+8%reference odds
    • Over 3.542% probability@2.40Paddy PowerEV+2%reference odds
    Bookmaker1 · MonterreyX2 · Atlético San Luis
    Betsafe1.484.155.90
    Betsson1.484.155.90
    Nordicbet1.484.155.90
    Paddy Power
    EV+ 10%
    1.67
    3.804.00
    Pinnacle1.484.645.90

    Odds updated 28 Aug, 11:40

    Odds movement

    10 %
    66 %61 %

    1.481.48

    X-1 %
    23 %18 %

    4.674.64

    20 %
    18 %13 %

    5.925.90

    Pinnacle · 3 recorded price levels · 24/08/2026 → 26/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    6 matches
    Monterrey 3Draw 0Atlético San Luis 3
    Goals: 117 (⌀ 3)

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

    Key facts

    • A high-scoring fixture: 3.0 goals per meeting on average.
    • CF Monterrey win 58% of their home matches all-time (64 played).
    xG & xGA per match — 3-game rolling average

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

    Monterrey
    Atlético San Luis
    When goals are scored and conceded 2026
    Monterrey (127)
    Atlético San Luis (59)
    Pass networks

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

    Monterrey
    Jorge Rodriguez: 198 passningar, xT 0.12RodriguezOliver Torres: 179 passningar, xT 1.28TorresRicardo Chavez: 177 passningar, xT 0.57ChavezLuis Cardenas: 171 passningar, xT 0.04CardenasGerardo Arteaga: 168 passningar, xT 0.28ArteagaVictor Guzman: 167 passningar, xT 0.13GuzmanLuca Nicolás Orellano: 130 passningar, xT 0.73OrellanoOrbelín Pineda Alvarado: 118 passningar, xT 0.33AlvaradoJesus Corona: 110 passningar, xT 0.1CoronaLucas Ocampos: 110 passningar, xT 0.4OcamposAlonso Aceves: 100 passningar, xT 0.09Aceves
    Atlético San Luis
    Eduardo Aguila: 315 passningar, xT 0.57AguilaSebastien Salles Lamonge: 287 passningar, xT 0.41LamongeRobson Alves de Barros: 252 passningar, xT 0.37BarrosMiguel Garcia: 250 passningar, xT 0.46GarciaOscar Macias: 200 passningar, xT 0.22MaciasRomán Torres Acosta: 161 passningar, xT 0.59AcostaDavid Rodriguez: 121 passningar, xT 0.07RodriguezAldo Cruz: 104 passningar, xT 0.08CruzLucas Esteves Souza: 98 passningar, xT 0.04SouzaAndres Sanchez: 95 passningar, xT 0.02SanchezJohan Caicedo Caicedo: 83 passningar, xT 0.03Caicedo
    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.

    Monterrey
    Jorge Rodriguez: 198 passningar, xT 0.12RodriguezOliver Torres: 179 passningar, xT 1.28TorresRicardo Chavez: 177 passningar, xT 0.57ChavezLuis Cardenas: 171 passningar, xT 0.04CardenasGerardo Arteaga: 168 passningar, xT 0.28ArteagaVictor Guzman: 167 passningar, xT 0.13GuzmanLuca Nicolás Orellano: 130 passningar, xT 0.73OrellanoOrbelín Pineda Alvarado: 118 passningar, xT 0.33AlvaradoJesus Corona: 110 passningar, xT 0.1CoronaLucas Ocampos: 110 passningar, xT 0.4OcamposAlonso Aceves: 100 passningar, xT 0.09Aceves
    Atlético San Luis
    Eduardo Aguila: 315 passningar, xT 0.57AguilaSebastien Salles Lamonge: 287 passningar, xT 0.41LamongeRobson Alves de Barros: 252 passningar, xT 0.37BarrosMiguel Garcia: 250 passningar, xT 0.46GarciaOscar Macias: 200 passningar, xT 0.22MaciasRomán Torres Acosta: 161 passningar, xT 0.59AcostaDavid Rodriguez: 121 passningar, xT 0.07RodriguezAldo Cruz: 104 passningar, xT 0.08CruzLucas Esteves Souza: 98 passningar, xT 0.04SouzaAndres Sanchez: 95 passningar, xT 0.02SanchezJohan Caicedo Caicedo: 83 passningar, xT 0.03Caicedo

    The teams in numbers

    PerformanceMonterreyAtlético San Luis
    Points93
    xPoints8.55.9
    xG per match1.91.1
    xGA per match1.41.3
    xG within 8s of winning the ball0.570.2
    xGA within 8s of losing the ball0.170.17
    Playing styleMonterreyAtlético San Luis
    Build-up efficiency0.30.27
    Field tilt0.60.51
    xT per match1.10.89
    xTA per match0.790.87
    Won balls, offensive half2521
    Pressing intensity0.210.23
    Pressing efficiency0.290.29
    Pressing efficiency, offensive half0.240.24
    Entries into the box per match1411
    Entries into the box against1114
    Pass completion %0.80.82
    Pass completion % under pressure0.740.77
    Passes per match405453
    Passes against per match313318
    Switches of play per match33.823
    Long balls per match3823
    Set piecesMonterreyAtlético San Luis
    xG from free kicks0.030.02
    Corners per match5.63.6
    Corners against per match3.65.7
    xG per corner0.020.04
    xGA per corner against0.070.03
    First touch, offensive corners %0.460.5
    First touch, defensive corners %0.670.32
    OtherMonterreyAtlético San Luis
    Throw-in control0.710.74
    The goalkeepersLuis Cardenas (Monterrey)Andres Sanchez (Atlético San Luis)
    Saves1213
    Save %63%59%
    xG prevented23%31%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Monterrey vs Atlético San Luis according to our model?

    The model gives Monterrey a 66% win probability. Full 1X2 picture: Monterrey 66%, draw 20%, Atlético San Luis 14%.

    What is the most likely scoreline?

    The model's most likely final score is 2-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 64% and under at 36%.

    Will both teams score?

    The probability of both teams scoring is 59% 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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.