Paulista Women

Paulista Women produces a moderate scoring rate of 2.77 total goals per match across tracked fixtures in the 2026 Paulista Women season. That equates to roughly 1.39 goals per team per game - a baseline figure used by StatsBrain to calibrate expected-goals output for every fixture in the division. Corner frequency averages 8.30 per game, reflecting the typical territorial and set-piece volume in this league.

Home teams average 1.51 goals per game in Paulista Women compared with 1.26 for away sides - indicatinga consistent home-scoring advantage that the model weights positively for home-side expected goals. This home/away split is incorporated into StatsBrain's pre-match simulation engine for every Paulista Women fixture.

The relegation battle is tight: Mirassol W begin the danger zone in 8th with 0 points, just 1 point behind RB Bragantino W in safety. Mirassol W prop up the table with 0 points and a 0:9 goal record after 2 matches.

StatsBrain publishes 1 active pre-match statistical projection for the 2026 Paulista Women season. The next fixture on the calendar is Taubaté FF W vs Mirassol W. 1 of these 1 fixture carry a model confidence score of 75 or above, indicating a clearer separation in the projected outcome distribution. Each linked match page includes the full win/draw/loss probability split, expected-goals estimates and simulated scorelines.

Over the last 20 completed Paulista Women fixtures tracked on StatsBrain, home sides won 45% (9/20), draws made up 30% and away wins 25%. Those matches averaged 3.00 goals per game - the season-wide tracked average is 2.77, so recent scoring is closely aligned with the longer sample.

Simulated scorelines across the upcoming Paulista Women slate average 1.00 total goals per fixture, versus 2.77 from completed matches this season. The strongest current projection is Taubaté FF W vs Mirassol W (84% model confidence, simulated scoreline 1 - 0, probability split 84% home · 16% draw · 0% away). The model's dominant signal for that fixture is: Awaiting Data.

StatsBrain's Paulista Women modelling layer combines league scoring baselines, home/away splits, standings position, recent form sequences and squad market values into large-scale Monte Carlo simulations. Outputs are refreshed as new fixture data arrives and are designed for statistical analysis - not as certainties. Open any listed fixture for the complete projection breakdown, including expected goals and outcome probabilities.