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NWSL Notebook

NWSL Notebook aggregates comprehensive statistical data for every player, team, and match in the National Women’s Soccer League since 2016. It offers advanced metrics such as expected goals (xG), expected threat, VAEP, PSxG, DAxT, observed roles, and a Composite rating, all generated by proprietary models and fully documented for users. The platform serves analysts, scouts, and fans who need detailed performance insights and historical context for NWSL competition.

1
Updated 12 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Analysts, scouts, and fans lack a centralized source of detailed, advanced statistical data for National Women’s Soccer League (NWSL) players, teams, and matches, making it difficult to evaluate performance beyond basic counts.

Solution

NWSL Notebook aggregates every NWSL player, team, and match since 2016 into a searchable database. It provides model‑derived metrics such as expected goals (xG), expected threat, VAEP, PSxG, DAxT, observed roles, and a Composite rating, with each output clearly marked and fully documented. Users can view season‑by‑season breakdowns, league percentiles, and style‑map comparisons that link on‑ball profiles to similar players. The platform also offers detailed match logs with event‑timed minutes and contextual statistics. All data are presented in a consistent format that supports deeper performance analysis and scouting workflows.

Target Audience

Primary users are NWSL analysts, scouts, and team staff who require granular performance metrics, as well as media outlets and dedicated fans seeking in‑depth statistical insight.

Features

  • Comprehensive coverage of every NWSL player, team, and match from 2016 onward
  • Advanced model outputs (xG, expected threat, VAEP°, PSxG, DAxT, Composite rating) with explicit documentation
  • League percentile rankings for metrics, filtered by minimum minutes played
  • Season‑by‑season tables showing goals, assists, minutes, and advanced stats
  • Match‑level event‑timed logs including minutes, goals, and other actions
  • Style‑map visualizations that match players based on on‑ball profiles
  • Comparison tool to benchmark any player against the full dataset
This profile is AI-generated and may contain inaccuracies.