Passion, historic pride, and blockbuster rivalries reach fever pitch across Mexico as Liga MX ignites with a sensational Jornada 9 of the Apertura 2026 from Friday, September 18 to Sunday, September 20. With the battle for direct Liguilla qualification heating up at the tournament’s midway mark, the country comes to a standstill for the most defining fixtures of the regular season.

The crown jewel of Mexican football takes center stage on Saturday night as Club América collides with arch-rivals Chivas de Guadalajara in a ferocious, high-stakes edition of El Clásico Nacional with massive bragging rights and playoff implications on the line. Saturday also serves up an explosive heavyweight clash between Monterrey and in-form Cruz Azul at the Estadio BBVA, while Tigres UANL opens the weekend on Friday night visiting FC Juárez. Explore our AI-driven match predictions, form guides, and deep statistical analytics for every encounter across this epic Liga MX weekend.

Full Time Results and Asian Handicap

In the table below you will find our AI prediccions for Liga MX round 9. Asian refers to the recomended asian handicap line.

Both Teams to Score

BTS (Both Teams to Score) is a popular betting market in sports, especially in soccer. In a BTS bet, you’re wagering on whether both teams in a match will score at least one goal each. The table below shows the BTS stats for the home team at home and the away team away.

Totals

The table below shows the goal averages for each encounter based on home teams average performance (goals scored and conceded) at home, and away teams average performance away. We use poisson distribution to calculate probabilities for over and under 2.5 goal. For your convienence we have converted the probabilities to decimal odds.

First Half Goals

The table below shows estimated first-half goal probabilities using Poisson distribution. HT Avg is the expected number of goals before half-time. O/U 0.5 FH and O/U 1.5 FH are the corresponding over/under odds for the first half.

We also have calculated the average goals scored and conceded for the teams. See the table below.

Correct Score Predictions

These projections are generated using advanced statistical models that evaluate team strength, expected‑goals data, and historical scoring patterns. The table below highlights the most probable scorelines based on current performance indicators and model‑driven probability weighting.