Liga MXEstadio BBVA, Monterrey31°19 km/h

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    MonterreyMonterreyPossession & high press
    vs
    Tigres UANLTigres UANLPossession & high press
    The model's lean: 1 · Monterrey (44%)

    MonterreyTigres UANL · Liga MX

    1 · Monterrey 44%X 28%28% Tigres UANL · 2

    Analysis: MonterreyTigres UANL

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

    Tension ripples through the head-to-head history where, in a small sample of four encounters since 2023, Monterrey have struggled to assert dominance over Tigres UANL, registering just one win. However, this statistical slice weighs less than the current form and expected goals, both of which point towards a slight edge for the hosts. Monterrey's ability to secure 57% of their home matches all-time underscores their capacity to capitalize on familiar ground.

    Monterrey's possession and high-press strategy mirrors that of Tigres, but the hosts have the upper hand in offensive metrics, boasting 1.9 expected goals per match against Tigres’s 1.5. This offensive potency, paired with a slightly more robust defense, suggests Monterrey can carve out chances more effectively. Despite shared stylistic approaches, Monterrey's home advantage and superior xG metrics shape a narrative of potential ascendancy.

    The model assigns a 44% win probability to Monterrey, reinforcing the notion that they are better positioned to navigate the tactical mirror match. The most likely scorelines of 1-1 (11%) and 2-1 (9%) reflect a tight contest with a slight nod to the home side. Expected goals figures—1.66 for Monterrey against 1.38 for Tigres—hint at a match where the difference may come down to finishing precision.

    From a betting perspective, value emerges in the over 2.5 goals market, priced at 58%. With both teams deploying high press and possession-based tactics, and given the expected goal metrics, chance creation is likely, making the over 2.5 goals an attractive proposition. Consider backing Monterrey for the win, given the model's lean and the 44% likelihood, which could offer value depending on bookmaker odds.

    MonterreyMonterrey
    Form LWWLL
    League ranking xG #2xGA #10xT #3xP/match #3Points #10
    Key players
    • Oliver TorresFxG 0.10 · xT 0.47
    • Diego Martín Rossi MarachlianFxG 0.56 · xT 0.15
    • Victor GuzmanCBxG 0.07 · xT 0.05
    Tigres UANLTigres UANL
    Form LLWDD
    League ranking xG #7xGA #12xT #12xP/match #14Points #15
    Key players
    • Juan BrunettaCAMxG 0.61 · xT 0.25
    • Rodrigo Sebastián Aguirre SotoFxG 0.24 · xT 0.00
    • Diego LainezRWxG 0.15 · xT 0.14

    Match prediction: MonterreyTigres UANL

    Predicted score matrix

    Tigres UANL
    Monterrey
    0
    1
    2
    3
    4+
    0
    0–05.1%
    0–16.3%
    0–24.6%
    0–32.1%
    0–4+1.0%
    1
    1–07.6%
    1–111.3%
    1–27.6%
    1–33.5%
    1–4+1.6%
    2
    2–06.6%
    2–19.1%
    2–26.3%
    2–32.9%
    2–4+1.3%
    3
    3–03.6%
    3–15.0%
    3–23.5%
    3–31.6%
    3–4+0.7%
    4+
    4+–02.2%
    4+–13.0%
    4+–22.1%
    4+–31.0%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-08%
    4. 4.1-28%
    5. 5.2-07%
    Expected goals
    1,661,38
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    @2.18
    Over 2,558%
    @1.65

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Monterrey or draw (1X)68%
    • Over 1.5 goals81%

    Combined probability

    56%

    Fair odds

    1.80

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

    02 · 3 legs

    Balanced

    • Double chance Monterrey or draw (1X)68%
    • Over 2.5 goals58%
    • Lucas Ariel Ocampos Lain to score28%

    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 score61%
    • Over 2.5 goals58%
    • Lucas Ariel Ocampos Lain to score28%
    • César Nahuel Araújo Vilches 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 · Monterrey44% probability@2.29PinnacleEV+1%reference odds
    Bookmaker1 · MonterreyX2 · Tigres UANL
    Betsafe2.223.452.95
    Betsson2.223.452.95
    Nordicbet2.223.452.95
    Pinnacle
    EV+ 1%
    2.29
    3.343.16

    Odds updated 11 Sept, 16:39

    Odds movement

    10 %
    44 %39 %

    2.282.29

    X-1 %
    31 %26 %

    3.363.34

    20 %
    33 %28 %

    3.153.16

    Pinnacle · 5 recorded price levels · 07/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Monterrey 1Draw 1Tigres UANL 2
    Goals: 66 (⌀ 3)

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

    Key facts

    • CF Monterrey win 57% of their home matches all-time (65 played).
    xG & xGA per match — 3-game rolling average

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

    Monterrey
    Tigres UANL
    When goals are scored and conceded 2026
    Monterrey (1310)
    Tigres UANL (911)
    Pass networks

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

    Monterrey
    Jorge Rodriguez: 235 passningar, xT 0.23RodriguezOliver Torres: 178 passningar, xT 1.9TorresVictor Guzman: 167 passningar, xT 0.13GuzmanCarlos Salcedo: 161 passningar, xT 0.14SalcedoOrbelín Pineda Alvarado: 159 passningar, xT 0.41AlvaradoLuis Cardenas: 155 passningar, xT 0.09CardenasGerardo Arteaga: 132 passningar, xT 0.26ArteagaLuca Nicolás Orellano: 118 passningar, xT 0.62OrellanoFidel Ambriz: 108 passningar, xT 0.3AmbrizRicardo Chavez: 106 passningar, xT 0.48ChavezAlonso Aceves: 98 passningar, xT 0.11Aceves
    Tigres UANL
    Jesus Garza: 212 passningar, xT 0.19GarzaRômulo Zanre Zwarg: 209 passningar, xT 0.05ZwargAlan Javier Franco: 208 passningar, xT 0.23FrancoJuan Brunetta: 195 passningar, xT 1.21BrunettaFernando Gorriaran: 186 passningar, xT 0.3GorriaranJoaquim Henrique Pereira Silva: 146 passningar, xT 0.21SilvaDiego Lainez: 145 passningar, xT 0.42LainezNahuel Guzman: 115 passningar, xT 0.16GuzmanDiego Alexander Sánchez Guevara: 95 passningar, xT 0.46GuevaraVladimir Lorona: 94 passningar, xT 0.02LoronaCésar Nahuel Araújo Vilches: 77 passningar, xT 0.17Vilches
    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: 235 passningar, xT 0.23RodriguezOliver Torres: 178 passningar, xT 1.9TorresVictor Guzman: 167 passningar, xT 0.13GuzmanCarlos Salcedo: 161 passningar, xT 0.14SalcedoOrbelín Pineda Alvarado: 159 passningar, xT 0.41AlvaradoLuis Cardenas: 155 passningar, xT 0.09CardenasGerardo Arteaga: 132 passningar, xT 0.26ArteagaLuca Nicolás Orellano: 118 passningar, xT 0.62OrellanoFidel Ambriz: 108 passningar, xT 0.3AmbrizRicardo Chavez: 106 passningar, xT 0.48ChavezAlonso Aceves: 98 passningar, xT 0.11Aceves
    Tigres UANL
    Jesus Garza: 212 passningar, xT 0.19GarzaRômulo Zanre Zwarg: 209 passningar, xT 0.05ZwargAlan Javier Franco: 208 passningar, xT 0.23FrancoJuan Brunetta: 195 passningar, xT 1.21BrunettaFernando Gorriaran: 186 passningar, xT 0.3GorriaranJoaquim Henrique Pereira Silva: 146 passningar, xT 0.21SilvaDiego Lainez: 145 passningar, xT 0.42LainezNahuel Guzman: 115 passningar, xT 0.16GuzmanDiego Alexander Sánchez Guevara: 95 passningar, xT 0.46GuevaraVladimir Lorona: 94 passningar, xT 0.02LoronaCésar Nahuel Araújo Vilches: 77 passningar, xT 0.17Vilches

    The teams in numbers

    PerformanceMonterreyTigres UANL
    Points96
    xPoints108.5
    xG per match1.91.5
    xGA per match1.31.4
    xG within 8s of winning the ball0.490.2
    xGA within 8s of losing the ball0.190.17
    Playing styleMonterreyTigres UANL
    Build-up efficiency0.30.32
    Field tilt0.640.61
    xT per match1.30.94
    xTA per match0.820.79
    Won balls, offensive half2730
    Pressing intensity0.210.22
    Pressing efficiency0.30.26
    Pressing efficiency, offensive half0.270.26
    Entries into the box per match1517
    Entries into the box against1010
    Pass completion %0.810.78
    Pass completion % under pressure0.740.7
    Passes per match434366
    Passes against per match290306
    Switches of play per match35.930.5
    Long balls per match3933
    Set piecesMonterreyTigres UANL
    xG from free kicks0.030.09
    Corners per match6.97.5
    Corners against per match3.13.9
    xG per corner0.020.02
    xGA per corner against0.070.03
    First touch, offensive corners %0.460.43
    First touch, defensive corners %0.680.5
    OtherMonterreyTigres UANL
    Throw-in control0.740.59
    The goalkeepersLuis Cardenas (Monterrey)Nahuel Guzman (Tigres UANL)
    Saves1321
    Save %56%66%
    xG prevented22%48%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Monterrey vs Tigres UANL according to our model?

    The model gives Monterrey a 44% win probability. Full 1X2 picture: Monterrey 44%, draw 28%, Tigres UANL 28%.

    What is the most likely scoreline?

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

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 58% and under at 42%.

    Will both teams score?

    The probability of both teams scoring is 61% 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.