The math behind every decision computed for your league.
Find players who fit your team, not just a generic ranking. Compare recent form, upcoming games, and category needs using imported league settings we can verify. Missing rules or old data lower confidence or stop the recommendation.
7 / 15 / 30
Your league
No guess
What's inside
- League-context ratings 01
- Compare players and teams using your league's player pool and scoring categories. Start with the plain-language rating and inspect the formula when you want the detail.
- Schedule strength 02
- NBA game density, off-nights, and back-to-backs feed the decision when schedule data is fresh enough to use.
- See why a pickup fits 03
- Look beyond one waiver score. See how recent form, available alternatives, upcoming games, and your team's needs each contribute.
- Rolling windows 04
- Recent 7, 15, and 30 played-game samples are the current rolling-form projection basis, not calendar-day windows. Sample size and freshness stay visible; no licensed rest-of-season feed is active.
See also
Common questions
01Where do projections come from?+
The beta uses recent rolling player form and schedule context. Pick Pilot does not currently have a licensed rest-of-season projection feed, and it does not advertise active dynasty age curves. We will name the source and method when licensed projections land.
02Do you support punt builds?+
Supported category leagues can exclude selected categories from the decision frame. The result still shows what was omitted so a deliberate punt cannot masquerade as total player value.
03How fresh is the data?+
Each recommendation should show how old its data is. League updates and game logs depend on source availability, request limits, and processing time. The beta does not promise a fixed update schedule.
Ready to use Analytics?
Web beta. No paid checkout; provider coverage and import timing vary by league.