The battle for top-flight promotion in Brazil’s Campeonato Brasileiro Série B is reaching a fever pitch as Round 29 approaches from September 18–21. Following an explosive set of midweek fixtures that saw Novorizontino claim first place on goal difference over Juventude (both level on 50 points), the pressure at the summit has never been higher. Close behind, third-placed Fortaleza (48 points) and in-form contenders Vila Nova, Criciúma, and Atlético-GO—fresh off a sensational hat-trick by Gustavo Coutinho—are fighting fiercely for every promotion spot.

The weekend action gets underway on Friday, September 18, as new league leaders Novorizontino travel to the Castelão to face Ceará. On Saturday, September 19, second-placed Juventude seeks immediate redemption on a challenging away trip against Sport Recife. Sunday, September 20, sees promotion-chasing Fortaleza visit Londrina, while Atlético-GO and Vila Nova continue their push to secure direct promotion and playoff positioning. Dive into our AI-driven match predictions and statistical insights for all of this week’s fixtures.

Full Time Results and Asian Handicap

In the table below you will find our AI prediccions for Serie B Brazil round 29. 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.

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.