Liga MXEstadio Olímpico Universitario, Mexico City19°0,5 mm16 km/h

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    Pumas UNAMPumas UNAMPossession control
    vs
    Cruz AzulCruz AzulPossession & high press
    The model's lean: 2 · Cruz Azul (42%)Best value by the model: X · Draw @ 3.55 (+3 %)

    Pumas UNAM vs Cruz Azul · Liga MX

    1 · Pumas UNAM 29%X 29%42% Cruz Azul · 2

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    Analysis: Pumas UNAM – Cruz Azul

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

    Cruz Azul's high press will likely put the hosts under pressure. The visitors have shown a knack for controlling games against possession-heavy teams like Pumas, reflected in both their historical head-to-head advantage and their superior expected goals per match this season. Cruz Azul's 1.67 xG compared to Pumas' 1.31 suggests they have the attacking edge, and their style of play is tailored to exploit any lapses in concentration from possession-focused defenses.

    Since 2023, the encounters between these two have averaged 3.2 goals per game, hinting at the potential for an open, attacking matchup. However, with 4.4 mm of rain expected, the conditions could suppress goal-scoring opportunities. Still, the probability for over 2.5 goals sits at 57%, and both teams finding the net is a 60% shot. These numbers provide a compelling case for goals unless the weather has an outsized impact.

    The most likely scoreline of 1-1 (11%) hints at a closely contested draw, although a 1-2 or 0-1 result also looms prominently in the probabilities. Cruz Azul seems well-placed to take advantage given their higher xPoints (14.1 to Pumas' 11.6) and slightly better defensive metrics, but Pumas’ home advantage should not be discounted entirely.

    For those seeking value, the draw offers an intriguing angle. LeoVegas lists it at 3.55, presenting a 3% edge over the model's 29% probability. This looks like a calculated risk worth taking, especially if you suspect the rain might neutralize some of the game’s attacking flair. In a matchup where both strategy and conditions create uncertainty, this bet could well pay dividends.

    Pumas UNAMPumas UNAM
    Form LWLDL
    League ranking xG #16xGA #11xT #12xP/match #17Points #12
    Key players
    • Robert MoralesFxG 0.19 · xT 0.04
    • Luciano Ramón HerreraLWxG 0.24 · xT 0.14
    • Nathan SilvaCBxG 0.01 · xT 0.07
    Cruz AzulCruz Azul
    Form WWWLD
    League ranking xG #4xGA #9xT #2xP/match #7Points #7
    Key players
    • Gabriel FernandezFxG 1.02 · xT -0.03
    • Nicolás Alejandro IbáñezFxG 0.48 · xT 0.06
    • Carlos RodriguezCAMxG 0.05 · xT 0.32

    Match prediction: Pumas UNAM – Cruz Azul

    Predicted score matrix

    Cruz Azul →
    Pumas UNAM →
    0
    1
    2
    3
    4+
    0
    0–05.4%
    0–18.2%
    0–27.1%
    0–33.9%
    0–4+2.4%
    1
    1–06.3%
    1–111.4%
    1–29.3%
    1–35.2%
    1–4+3.1%
    2
    2–04.4%
    2–17.3%
    2–26.1%
    2–33.4%
    2–4+2.1%
    3
    3–01.9%
    3–13.2%
    3–22.7%
    3–31.5%
    3–4+0.9%
    4+
    4+–00.8%
    4+–11.4%
    4+–21.2%
    4+–30.6%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-29%
    3. 3.0-18%
    4. 4.2-17%
    5. 5.0-27%
    Expected goals
    1,31–1,67
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    @2.22
    Over 2,557%
    @1.62

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Cruz Azul or draw (X2)70%
    • Over 1.5 goals80%

    Combined probability

    57%

    Fair odds

    1.76

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

    02 · 3 legs

    Balanced

    • Double chance Cruz Azul or draw (X2)70%
    • Over 2.5 goals57%
    • José Antonio Paradela 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 score60%
    • Over 2.5 goals57%
    • José Antonio Paradela to score28%
    • Israel Luna López to be booked26%

    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+).

    • X · Draw29% probability@3.55LeoVegasEV+3%reference odds
    • X · Draw29% probability@3.45BetsafeEV+0%reference odds
    • X · Draw29% probability@3.45NordicbetEV+0%reference odds
    Bookmaker1 · Pumas UNAMX2 · Cruz Azul
    Betsafe3.20
    EV+ 0%
    3.45
    2.05
    LeoVegas3.10
    EV+ 3%
    3.55
    2.00
    Nordicbet3.20
    EV+ 0%
    3.45
    2.05

    Odds updated 4 Oct, 16:36

    Odds movement

    10 %
    32 %27 %

    3.10 → 3.10

    X0 %
    28 %23 %

    3.55 → 3.55

    2-1 %
    48 %43 %

    2.02 → 2.00

    Over 2,5+1 %
    59 %54 %

    1.60 → 1.61

    LeoVegas · 4 recorded price levels · 04/10/2026 → 04/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    6 matches
    Pumas UNAM 1Draw 2Cruz Azul 3
    Goals: 8–11 (⌀ 3,2)

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

    Key facts

    • CD Cruz Azul dominate this fixture historically: 3 wins to 1 in 6 meetings.
    • A high-scoring fixture: 3.2 goals per meeting on average.
    xG & xGA per match — 3-game rolling average

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

    Pumas UNAM
    Cruz Azul
    When goals are scored and conceded — 2026
    Pumas UNAM (14–16)
    Cruz Azul (19–18)
    Pass networks

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

    Pumas UNAM
    Nathan Silva: 228 passningar, xT 0.41SilvaRodrigo Lopez: 190 passningar, xT 0.71LopezKeylor Antonio Navas Gamboa: 139 passningar, xT 0.11GamboaPedro Jeampierre Vite Uca: 122 passningar, xT 0.48UcaPablo Bennevendo: 114 passningar, xT 0.35BennevendoVictor Arteaga: 111 passningar, xT 0.21ArteagaRuben Duarte: 106 passningar, xT 0.13DuarteÁngel Amhed Azuaje García: 100 passningar, xT 0.14GarcíaUriel Antuna: 90 passningar, xT 0.62AntunaAdalberto Carrasquilla: 69 passningar, xT 0.04CarrasquillaLuciano Ramón Herrera: 64 passningar, xT 0.68Herrera
    Cruz Azul
    Willer Ditta: 250 passningar, xT 0.5DittaCarlos Rodriguez: 209 passningar, xT 1.17RodriguezAgustin Palavecino: 180 passningar, xT 0.63PalavecinoJeremy Marquez: 162 passningar, xT 0.21MarquezJesus Orozco Chiquete: 150 passningar, xT 0.43ChiqueteKevin Mier: 135 passningar, xT -0.03MierOmar Campos: 104 passningar, xT 0.68CamposErik Lira: 94 passningar, xT 0.05LiraJose Paradela: 86 passningar, xT 0.77ParadelaGonzalo Piovi: 81 passningar, xT 0.14PioviAmaury Garcia: 78 passningar, xT 0.05Garcia
    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.

    Pumas UNAM
    Nathan Silva: 228 passningar, xT 0.41SilvaRodrigo Lopez: 190 passningar, xT 0.71LopezKeylor Antonio Navas Gamboa: 139 passningar, xT 0.11GamboaPedro Jeampierre Vite Uca: 122 passningar, xT 0.48UcaPablo Bennevendo: 114 passningar, xT 0.35BennevendoVictor Arteaga: 111 passningar, xT 0.21ArteagaRuben Duarte: 106 passningar, xT 0.13DuarteÁngel Amhed Azuaje García: 100 passningar, xT 0.14GarcíaUriel Antuna: 90 passningar, xT 0.62AntunaAdalberto Carrasquilla: 69 passningar, xT 0.04CarrasquillaLuciano Ramón Herrera: 64 passningar, xT 0.68Herrera
    Cruz Azul
    Willer Ditta: 250 passningar, xT 0.5DittaCarlos Rodriguez: 209 passningar, xT 1.17RodriguezAgustin Palavecino: 180 passningar, xT 0.63PalavecinoJeremy Marquez: 162 passningar, xT 0.21MarquezJesus Orozco Chiquete: 150 passningar, xT 0.43ChiqueteKevin Mier: 135 passningar, xT -0.03MierOmar Campos: 104 passningar, xT 0.68CamposErik Lira: 94 passningar, xT 0.05LiraJose Paradela: 86 passningar, xT 0.77ParadelaGonzalo Piovi: 81 passningar, xT 0.14PioviAmaury Garcia: 78 passningar, xT 0.05Garcia

    The teams in numbers

    PerformancePumas UNAMCruz Azul
    Points1216
    xPoints11.614.1
    xG per match1.11.7
    xGA per match1.51.4
    xG within 8s of winning the ball0.240.3
    xGA within 8s of losing the ball0.140.35
    Playing stylePumas UNAMCruz Azul
    Build-up efficiency0.30.31
    Field tilt0.410.62
    xT per match11.4
    xTA per match10.94
    Won balls, offensive half2428
    Pressing intensity0.240.23
    Pressing efficiency0.270.28
    Pressing efficiency, offensive half0.230.24
    Entries into the box per match1216
    Entries into the box against1410
    Pass completion %0.760.77
    Pass completion % under pressure0.690.71
    Passes per match346392
    Passes against per match394303
    Switches of play per match32.636.4
    Long balls per match3640
    Set piecesPumas UNAMCruz Azul
    xG from free kicks0.020.01
    Corners per match5.96.2
    Corners against per match4.15.3
    xG per corner0.010.02
    xGA per corner against0.030.03
    First touch, offensive corners %0.390.37
    First touch, defensive corners %0.540.36
    OtherPumas UNAMCruz Azul
    Throw-in control0.710.74
    The goalkeepersKeylor Antonio Navas Gamboa (Pumas UNAM)Kevin Mier (Cruz Azul)
    Saves2727
    Save %63%69%
    xG prevented38%47%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Pumas UNAM vs Cruz Azul according to our model?

    The model gives Cruz Azul a 42% win probability. Full 1X2 picture: Pumas UNAM 29%, draw 29%, Cruz Azul 42%.

    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 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 60% 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.