2026-11-11 · 1 fixtures
Live matches first, then by kick-off time.
| Kick | Match | 1 | X | 2 | Over 2.5 | Under | Our picks |
|---|---|---|---|---|---|---|---|
21:30Sat | Mirassol Atlético-MG Brasileiro Serie A | 49% | 25% | 26% | 50% | 50% | 1275%Under 3.572% |
21:30Sat Mirassol Atlético-MG Brasileiro Serie A 149% X25% 226% O2.550% U2.550% 1275%Under 3.572% | |||||||
Standings and table positions. Combined with our match predictions and analysis above for full context.
| # | Team | P | W | D | L | GF | GA | GD | Pts |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Flamengo | 34 | 23 | 7 | 4 | 71 | 29 | +42 | 76 |
| 2 | Palmeiras | 34 | 21 | 10 | 3 | 62 | 23 | +39 | 73 |
| 3 | Cruzeiro | 34 | 18 | 6 | 10 | 55 | 48 | +7 | 60 |
| 4 | Fluminense | 34 | 16 | 9 | 9 | 55 | 42 | +13 | 57 |
| 5 | Athletico-PR | 34 | 15 | 9 | 10 | 51 | 43 | +8 | 54 |
| 6 | Bahia | 34 | 14 | 11 | 9 | 50 | 45 | +5 | 53 |
| 7 | Atlético-MG | 34 | 14 | 8 | 12 | 44 | 40 | +4 | 50 |
| 8 | Bragantino | 34 | 13 | 8 | 13 | 44 | 39 | +5 | 47 |
| 9 | Santos | 34 | 12 | 11 | 11 | 50 | 49 | +1 | 47 |
| 10 | São Paulo | 34 | 12 | 8 | 14 | 39 | 39 | 0 | 44 |
| 11 | Botafogo-RJ | 34 | 11 | 9 | 14 | 46 | 53 | -7 | 42 |
| 12 | Coritiba | 34 | 11 | 9 | 14 | 40 | 51 | -11 | 42 |
| 13 | Vasco da Gama | 33 | 11 | 8 | 14 | 43 | 50 | -7 | 41 |
| 14 | Mirassol | 34 | 10 | 10 | 14 | 39 | 48 | -9 | 40 |
| 15 | Vitoria | 34 | 10 | 8 | 16 | 35 | 51 | -16 | 38 |
| 16 | Internacional-RS | 34 | 9 | 11 | 14 | 38 | 42 | -4 | 38 |
| 17 | Corinthians | 34 | 9 | 10 | 15 | 36 | 42 | -6 | 37 |
| 18 | Grêmio | 34 | 9 | 10 | 15 | 38 | 47 | -9 | 37 |
| 19 | Remo | 34 | 6 | 11 | 17 | 37 | 57 | -20 | 29 |
| 20 | Chapecoense | 33 | 4 | 9 | 20 | 33 | 68 | -35 | 21 |
Our power ratings measure each team's attacking and defensive strength on a 1-10 scale. Attack power is derived from expected goals (xG) creation, while defense power reflects xG conceded. A rating of 10 means elite, 5 is average, and 1 is weak. These ratings feed into the Poisson model that generates match predictions.
The attack number (ATT) shows how dangerous a team is at scoring — higher means more goals expected. The defense number (DEF) shows how well a team prevents goals — higher means fewer goals conceded. Together they determine the expected goals (xG) for each team in every match, which drives all scoreline probabilities.
Predictions use a Poisson distribution model. For each match, we calculate expected goals for both teams from their attack/defense power ratings. The model then computes the probability of every possible scoreline (0-0 through 5-5) and ranks them by likelihood. The same method applies to over/under, BTTS, and correct score markets.
Expected goals (xG) is a statistical measure that quantifies the likelihood of a shot becoming a goal. A team's cumulative xG across a match estimates how many goals they should score based on chance quality. In Brasileiro Serie A, xG data comes from the SSTrader API and reflects pre-match projections from team form and historical performance.
Yes, all Brasileiro Serie A predictions on ProSoccer are free. You can see match-by-match predictions including 1X2 probabilities, over/under lines, correct scores, and bet builder suggestions without paying or registering. Bookmaker odds are shown only after you tap to expand, keeping the content search-engine compliant.
Over/Under 2.5 goals is typically the most accurate market for statistical models, with 55-65% accuracy. Correct score predictions are lower-probability by nature but can identify value. 1X2 (match winner) accuracy varies by league competitiveness. Our model performs best on goal-line markets because goal distribution follows a Poisson pattern.