What does ROO stand for?

Range of Outcomes. It is PayDirt’s simulated distribution of player and stack results — floors, medians, ceilings, and scoring probabilities — not a single projection number.

What data does a ROO table show?

Typical advanced player columns include salary, floor, median, expected fantasy points, ceiling, Top / Top 5 / Top 10 rates, multiple-of-salary hit rates (for example 2x–4x), and ownership splits (overall, small, large, cash, and captain ownership on showdown).

Which tabs are in PayDirt ROO models?

Core surfaces include Player ROO, Handbuilder, Pivot Finder, and Optimals. Sport builds may also add Stacks ROO, Game Environment, Scoring Percentages, or Weather (for example NFL stacks + game env; MLB stacks + weather; NBA minutes-oriented player metrics).

How does ROO connect to Portfolio Manager?

ROO Optimals and player views can export lineup pools / CSVs into Portfolio Manager so you trim exposures, reoptimize, and build entry sets from the same slate.

Guide

What is Range of Outcomes (ROO)?

ROO is PayDirt’s distributional DFS workspace — simulated floors, medians, ceilings, ownership, and construction tools so you build with variance instead of a single projection.

Why single projections fall short

Point projections collapse uncertainty into one number. Fields price ownership around those estimates. ROO keeps the shape of the distribution visible so you can compare chalk, leverage, floors, and ceiling tails on the same slate.

What you see in Player ROO

The Player ROO table is the main research surface. In advanced view you typically get player identity (position, team, opponent), salary, floor / median / expected fantasy points / ceiling, ranking rates (Top, Top 5, Top 10), multiples-of-salary hit rates, and ownership context (overall plus small / large / cash splits, and captain ownership on showdown).

Simple view trims to a tighter column set for speed. Filters cover teams, positions, salary, badge-style lean filters, and site/slate controls (DraftKings, FanDuel, and sport-specific slate types such as regular vs showdown). Live dates can sit next to historical sample averages so you can read current vs baseline.

Editable median / ownership what-ifs when you want a quick sensitivity check
Player drill-ins for trend context where the sport build supports it
Export paths aimed at Portfolio Manager lineup workflows

Construction tabs around the table

Stacks ROO (where offered, e.g. NFL/MLB) — stack identity, salary, floor/median/ceiling, hit rates, and ownership so you seed builds from correlated groups
Handbuilder — manual lineup slots with a player pool (salary, median, multiples, own); quick fills and optimal fills by median or ownership
Pivot Finder — similar-player search with match %, salary/team/position filters, and export
Game Environment (sport builds such as NFL/NBA) — matchup cards with moneylines, spreads, totals, and top projected pieces to start a build from the game
Optimals — mined lineup pools with salary, projection, stack, ownership, and filters for projection vs ownership mix, salary bounds, and stack counts; export names/IDs into Portfolio Manager

Sport variants keep the same idea with different roster math: NBA adds minutes-oriented columns and position slots; MLB adds batting order / stack labeling and weather where relevant; showdown modes swap classic slots for captain + flex structures.

Where to open ROO on PayDirt

Sport ROO models live under Models & Tools. Bring your own projections with Custom Range of Outcomes. After you mine lineups, continue in Portfolio Manager and grade past fields with Contest Analyzer. For sportsbook edges (not DFS lineups), see Betting Models.

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FAQ

What does ROO stand for?: Range of Outcomes. It is PayDirt’s simulated distribution of player and stack results — floors, medians, ceilings, and scoring probabilities — not a single projection number.
What data does a ROO table show?: Typical advanced player columns include salary, floor, median, expected fantasy points, ceiling, Top / Top 5 / Top 10 rates, multiple-of-salary hit rates (for example 2x–4x), and ownership splits (overall, small, large, cash, and captain ownership on showdown).
Which tabs are in PayDirt ROO models?: Core surfaces include Player ROO, Handbuilder, Pivot Finder, and Optimals. Sport builds may also add Stacks ROO, Game Environment, Scoring Percentages, or Weather (for example NFL stacks + game env; MLB stacks + weather; NBA minutes-oriented player metrics).
How does ROO connect to Portfolio Manager?: ROO Optimals and player views can export lineup pools / CSVs into Portfolio Manager so you trim exposures, reoptimize, and build entry sets from the same slate.