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Guide

Contest Analyzer — what it shows

Post-contest research: field ownership, duplication, ROI, and optional portfolio backtests against real DraftKings / FanDuel standings.

Data Load

Choose site, sport, contest type, and date, then select a contest (or score via URL / file upload). Optionally upload a portfolio CSV to grade your builds on the same slate the field played.

Contest lineups

The enriched standings table keeps roster slots and adds process metrics: stack and stack size, salary, actual fantasy points, actual ownership, dupes, average salary, uniques, under-5 / under-10 dupe rates, finish place, percentile finish, payout, entry count, and base name for multi-entry handles.

Filters include users, entry-count ranges, stacks / stack sizes, and lock/remove player constraints so you can isolate archetypes inside the field.

Analysis subtabs

  • Player Used — salary and exposure overall plus top 1% / 5% / 10% / 20% cohorts (and per-user exposure when comparing)
  • Stack Used / Stack Size — the same cohort exposure lens for stacks and stack sizes
  • General — salary used, finishing points, total ownership, duplications, uniques, under-5, under-10 averaged for overall and top cohorts
  • Duplication — base name, entry count, average salary/dupes, uniques and under-5 / under-10 counts and rates
  • ROI — fees, payout, and ROI by base name / entry volume

An At a Glance summary highlights first place, cash line, duplication spread, and highest fantasy outputs with ownership — a fast read before you dig into the tables.

How it connects

Build and trim in Portfolio Manager (often fed by ROO Optimals), then use Contest Analyzer to see what actually cashed. Open the tool from Research → Contest Analyzer.

FAQ

What contests can I analyze?
Multi-sport DFS contests (NFL, MLB, MMA, golf, NBA, WNBA, NHL, CFB, tennis, NASCAR, soccer, and more) in classic or showdown formats. DraftKings contests can be selected from the catalog; FanDuel supports manual CSV workflows.
What does Contest Analysis show on each lineup?
Roster slots plus stack, stack size, salary, actual fantasy points, actual ownership, dupes, average salary, uniques, under-5 / under-10 dupe cohorts, finish, percentile finish, payout, entry count, and base name.
What are the analysis subtabs?
Player Used, Stack Used, Stack Size, General (salary / points / ownership / duplication cohorts), Duplication, and ROI — each with overall and top 1%/5%/10%/20% exposure-style views where relevant.
Can I backtest my own portfolio?
Yes. Upload a portfolio CSV on Data Load alongside the contest standings so you can compare your builds against the field that actually played.