Liga MXEstadio BBVA, Monterrey25°0,3 mm11 km/h

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    MonterreyMonterreyPossession control
    vs
    TijuanaTijuanaLow block & direct
    The model's lean: 1 · Monterrey (52%)Best value by the model: Under 1,5 @ 5.40 (+29 %)

    Monterrey vs Tijuana · Liga MX

    1 · Monterrey 52%X 27%20% Tijuana · 2

    Prediction summary

    BetBuilders AI model prediction for Monterrey vs Tijuana (Liga MX, Sunday, 1 November 2026): Monterrey win 52%, draw 27%, Tijuana win 20%. Expected goals (xG): Monterrey 1.80, Tijuana 0.93. Most likely score: 1-0 (11%). Over 2.5 goals 51%, both teams to score 51%. Double chance: Monterrey or draw 80%, Tijuana or draw 48%. Prediction updated Saturday, 24 October 2026.

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    Analysis: Monterrey – Tijuana

    Marcus Johansson · · Analysis from the match model · How the predictions work

    TEXT: Monterrey's 57% home win rate suggests strength on familiar turf, yet the head-to-head numbers since 2023 reveal a surprising twist: not a single win against Tijuana in four tries. That small sample weighs less than overall form and expected goals, but it highlights a potential stumbling block. Monterrey's control-oriented play should dominate possession, clashing with Tijuana's low block and direct countering style.

    The odds lean towards the hosts with a 52% win probability, supported by a significantly higher expected goals tally at 1.80 compared to Tijuana's 0.93. Both teams face off nearly equal in xG per match at 1.6, but Monterrey's defensive solidity gives them an edge, conceding fewer xGA. A calculated 1-0 or 2-0 home victory is conceivable, each assigned an 11% probability, illustrating the model's slight nod to Monterrey.

    Although over 2.5 goals is a tight 51% prospect, the clash of styles and historical underperformance against Tijuana temper expectations. A narrow Monterrey win with limited goals seems the prudent play, aligning with model suggestions and odds alike.

    MonterreyMonterrey
    Form WLDWW
    League ranking xG #6xGA #2xT #6xP/match #4Points #7
    Key players
    • Victor GuzmanCBxG 0.04 · xT 0.04
    • Lucas OcamposRWxG 0.57 · xT 0.18
    • Oliver TorresCMxG 0.06 · xT 0.32
    TijuanaTijuana
    Form DLDDD
    League ranking xG #5xGA #6xT #7xP/match #1Points #10
    Key players
    • Alejandro GomezCBxG 0.10 · xT 0.15
    • Gilberto MoraCAMxG 1.00 · xT 0.20
    • Ivan TonaCDMxG 0.03 · xT 0.09

    Match prediction: Monterrey – Tijuana

    Predicted score matrix

    Tijuana →
    Monterrey →
    0
    1
    2
    3
    4+
    0
    0–06.8%
    0–15.7%
    0–22.8%
    0–30.9%
    0–4+0.2%
    1
    1–011.4%
    1–111.2%
    1–25.1%
    1–31.6%
    1–4+0.4%
    2
    2–010.6%
    2–19.8%
    2–24.6%
    2–31.4%
    2–4+0.4%
    3
    3–06.4%
    3–15.9%
    3–22.7%
    3–30.9%
    3–4+0.2%
    4+
    4+–04.3%
    4+–14.0%
    4+–21.9%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-011%
    2. 2.1-111%
    3. 3.2-011%
    4. 4.2-110%
    5. 5.0-07%
    Expected goals
    1,80–0,93
    Both teams to score
    51%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    @2.62EV+27%
    Over 2,551%
    @1.48

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Monterrey to win52%
    • Over 1.5 goals76%

    Combined probability

    46%

    Fair odds

    2.17

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

    02 · 3 legs

    Balanced

    • Monterrey to win52%
    • Over 2.5 goals51%
    • Hugo Jean-Marc Cuypers 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 score51%
    • Over 2.5 goals51%
    • Hugo Jean-Marc Cuypers to score29%
    • César Garza Cantú 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+).

    • Under 1.524% probability@5.40BetsafeEV+29%reference odds
    • Under 1.524% probability@5.40NordicbetEV+29%reference odds
    • Under 2.549% probability@2.62BetsafeEV+27%reference odds
    Bookmaker1 · MonterreyX2 · Tijuana
    Betsafe1.45
    EV+ 25%
    4.55
    EV+ 18%
    5.90
    LeoVegas1.53
    EV+ 15%
    4.20
    EV+ 4%
    5.20
    Nordicbet1.45
    EV+ 25%
    4.55
    EV+ 18%
    5.90

    Odds updated 27 Oct, 13:36

    Odds movement

    1+2 %
    63 %58 %

    1.50 → 1.53

    X0 %
    24 %19 %

    4.20 → 4.20

    2-1 %
    20 %15 %

    5.25 → 5.20

    Over 2,50 %
    65 %60 %

    1.48 → 1.48

    LeoVegas · 4 recorded price levels · 26/10/2026 → 27/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Monterrey 0Draw 3Tijuana 1
    Goals: 7–8 (⌀ 3,8)

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

    Key facts

    • CF Monterrey win 57% of their home matches all-time (68 played).
    xG & xGA per match — 3-game rolling average

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

    Monterrey
    Tijuana
    When goals are scored and conceded — 2026
    Monterrey (23–17)
    Tijuana (17–16)
    Pass networks

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

    Monterrey
    Carlos Salcedo: 210 passningar, xT 0.19SalcedoRicardo Chavez: 202 passningar, xT 0.56ChavezOliver Torres: 173 passningar, xT 0.61TorresGerardo Arteaga: 171 passningar, xT 0.31ArteagaVictor Guzman: 165 passningar, xT 0.13GuzmanCésar Garza Cantú: 156 passningar, xT 0.06CantúEsteban Andrada: 156 passningar, xT 0.13AndradaOrbelín Pineda Alvarado: 121 passningar, xT 0.3AlvaradoJesus Corona: 92 passningar, xT 0.31CoronaAlonso Aceves: 80 passningar, xT 0.04AcevesLucas Ocampos: 77 passningar, xT 0.47Ocampos
    Tijuana
    Antonio Rodriguez: 159 passningar, xT 0.13RodriguezIvan Tona: 147 passningar, xT -0.01TonaAlejandro Gomez: 143 passningar, xT 0.54GomezAlan Vega: 87 passningar, xT 0.47VegaJackson Porozo: 80 passningar, xT 0.07PorozoUnai Bilbao: 75 passningar, xT 0.05BilbaoRafael Inzunza: 74 passningar, xT 0.3InzunzaIgnacio Rivero: 66 passningar, xT 0.39RiveroRamiro Arciga: 59 passningar, xT 0.16ArcigaAdonis Preciado: 58 passningar, xT 1.21PreciadoAngel Zapata: 46 passningar, xT 0.02Zapata
    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
    Carlos Salcedo: 210 passningar, xT 0.19SalcedoRicardo Chavez: 202 passningar, xT 0.56ChavezOliver Torres: 173 passningar, xT 0.61TorresGerardo Arteaga: 171 passningar, xT 0.31ArteagaVictor Guzman: 165 passningar, xT 0.13GuzmanCésar Garza Cantú: 156 passningar, xT 0.06CantúEsteban Andrada: 156 passningar, xT 0.13AndradaOrbelín Pineda Alvarado: 121 passningar, xT 0.3AlvaradoJesus Corona: 92 passningar, xT 0.31CoronaAlonso Aceves: 80 passningar, xT 0.04AcevesLucas Ocampos: 77 passningar, xT 0.47Ocampos
    Tijuana
    Antonio Rodriguez: 159 passningar, xT 0.13RodriguezIvan Tona: 147 passningar, xT -0.01TonaAlejandro Gomez: 143 passningar, xT 0.54GomezAlan Vega: 87 passningar, xT 0.47VegaJackson Porozo: 80 passningar, xT 0.07PorozoUnai Bilbao: 75 passningar, xT 0.05BilbaoRafael Inzunza: 74 passningar, xT 0.3InzunzaIgnacio Rivero: 66 passningar, xT 0.39RiveroRamiro Arciga: 59 passningar, xT 0.16ArcigaAdonis Preciado: 58 passningar, xT 1.21PreciadoAngel Zapata: 46 passningar, xT 0.02Zapata

    The teams in numbers

    PerformanceMonterreyTijuana
    Points2017
    xPoints19.120.6
    xG per match1.61.6
    xGA per match1.11.3
    xG within 8s of winning the ball0.350.14
    xGA within 8s of losing the ball0.210.24
    Playing styleMonterreyTijuana
    Build-up efficiency0.30.29
    Field tilt0.590.33
    xT per match1.11.1
    xTA per match0.861.2
    Won balls, offensive half2722
    Pressing intensity0.220.23
    Pressing efficiency0.310.27
    Pressing efficiency, offensive half0.270.21
    Entries into the box per match1311
    Entries into the box against1014
    Pass completion %0.780.76
    Pass completion % under pressure0.720.71
    Passes per match408301
    Passes against per match303407
    Switches of play per match37.533.2
    Long balls per match4341
    Set piecesMonterreyTijuana
    xG from free kicks0.020.04
    Corners per match6.24.8
    Corners against per match3.47.4
    xG per corner0.030.04
    xGA per corner against0.040.04
    First touch, offensive corners %0.530.55
    First touch, defensive corners %0.660.57
    OtherMonterreyTijuana
    Throw-in control0.690.73
    The goalkeepersEsteban Andrada (Monterrey)Antonio Rodriguez (Tijuana)
    Saves1946
    Save %73%74%
    xG prevented31%48%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Monterrey vs Tijuana according to our model?

    The model gives Monterrey a 52% win probability. Full 1X2 picture: Monterrey 52%, draw 27%, Tijuana 20%.

    What is the most likely scoreline?

    The model's most likely final score is 1-0 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 51% and under at 49%.

    Will both teams score?

    The probability of both teams scoring is 51% according to the model.

    How many goals are expected in Monterrey vs Tijuana?

    The model expects 1.80 goals (xG) for Monterrey and 0.93 for Tijuana, 2.73 in total.

    What does the model say about double chance?

    Monterrey or draw (1X) 80%, Tijuana or draw (X2) 48% and no draw (12) 73%.

    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.