USL W League

USL W League produces an above-average scoring rate of 3.39 total goals per match across tracked fixtures in the 2026 USL W League season. That equates to roughly 1.70 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 1.08 per game, reflecting the typical territorial and set-piece volume in this league.

Home teams average 1.80 goals per game in USL W League compared with 1.58 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 USL W League fixture.

The relegation battle is tight: Manhattan W begin the danger zone in 91st with 0 points, just 0 points behind Patuxent W in safety. Miami AC W prop up the table with 0 points and a 0:22 goal record after 2 matches.

West Seattle Rhodies W carry the strongest recent form in USL W League with 5 wins in their last 5 league games (sequence: W-W-W-W-W). Short-term form sequences like this are weighted heavily in StatsBrain's fixture probability distributions. Conversely, San Juan SC W (D-D-L in last 3) sit among the division's coldest teams over the same window.

StatsBrain publishes 30 active pre-match statistical projections for the 2026 USL W League season. The next fixture on the calendar is North Carolina Fusion W vs Carolina Ascent II W. 20 of these 30 fixtures 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 USL W League fixtures tracked on StatsBrain, home sides won 65% (13/20), draws made up 5% and away wins 30%. Those matches averaged 3.80 goals per game - the season-wide tracked average is 3.39, a slightly higher short-term scoring rate than the full-season baseline. Across the current upcoming slate, the model assigns an average 40% home / 13% draw / 47% away probability split - a direct comparison point against the observed 65% / 5% / 30% outcome mix from recent results.

Simulated scorelines across the upcoming USL W League slate average 2.73 total goals per fixture, versus 3.39 from completed matches this season. The strongest current projection is North Carolina Fusion W vs Carolina Ascent II W (100% model confidence, simulated scoreline 0 - 3-4, probability split 0% home · 0% draw · 100% away). The model's dominant signal for that fixture is: Awaiting Data.

StatsBrain's USL W League 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.