Are Betting Models the same as DFS ROO?

No. Betting Models are sportsbook-oriented (props, game markets, edge, ROI). ROO is the DFS distributional / lineup construction stack. Many sports offer both under Models.

What does the Bet Sheet display?

Player or team, book, prop type, over/under, no-vig price context, projection, and edge — with richer builds adding recent hit rates (L3/L6/L10), projection differentials, matchup boosts, implied vs trending rates, and unit-style lean fields.

What is on the Game Betting Model tab?

Side-level game bets with team, opponent, book, bet type, model vs book lines, blend, book odds, model probability, implied probability, edge, and EV per 100.

Can I see how the models have performed?

Yes. Historical ROI breaks results by period and book, with game vs props cards, edge buckets, bet-type / prop-type breakdowns (bets, wins, losses, ROI), and time-series views.

Guide

PayDirt Betting Models — what they contain

Sport betting models put projections, book prices, edge, simulations, and historical ROI in one workspace — parallel to DFS ROO, not a replacement for it.

Product shape

Each sport betting app is organized as a tabbed sheet. Filters live on the tabs; a refresh pulls the latest model and market snapshot. Coverage spans major US books (and sport-specific venues where configured). Prop catalogs change by sport — NFL passing/rushing/ receiving markets, NBA points/rebounds/assists/combos, MLB hitter and pitcher props, and so on.

Tabs and the data they show

Bet Sheet — primary lean board: name, team, book, prop type, over/under, no-vig context, projection, edge; extended columns for recent over rates, averages, projection diffs, matchup boosts, implied vs trending rates, and units
Game Betting Model — moneylines / spreads / totals style rows with model line vs book line, blend, odds, model probability, implied, edge, and EV/100
Prop Market — cross-book price grid for a chosen prop type (e.g. FanDuel, DraftKings, MGM, Bet365 columns)
Player Projections — usage and production projections (NFL example: rush attempts, receptions, dropbacks, yards, TDs, PPR / half-PPR; NBA/MLB swap in sport-native stats such as minutes or pitcher/hitter lines)
Prop Trends — separate over and under tables with L3/L6/L10 rates, L6 average, projection, diffs, implied/trending, and edge
Player Prop Simulations — pick player, prop type, side, and line; run a large sim set and read beat rate / edge-style result cards (distributional outcomes around the posted line)
Stat Specific Simulations — filtered projection vs market board with over%/under%, bet lean, and edge
Historical ROI — lookback windows (week / two weeks / month / season), book filters, game vs props performance cards, edge buckets, and breakdown tables by bet or prop type

How it fits the rest of PayDirt

Open sport betting models from Models & Tools. For DFS distributions and lineups use Range of Outcomes. Programmatic betting/DFS data is documented on API Docs.

Browse models View plans

FAQ

Are Betting Models the same as DFS ROO?: No. Betting Models are sportsbook-oriented (props, game markets, edge, ROI). ROO is the DFS distributional / lineup construction stack. Many sports offer both under Models.
What does the Bet Sheet display?: Player or team, book, prop type, over/under, no-vig price context, projection, and edge — with richer builds adding recent hit rates (L3/L6/L10), projection differentials, matchup boosts, implied vs trending rates, and unit-style lean fields.
What is on the Game Betting Model tab?: Side-level game bets with team, opponent, book, bet type, model vs book lines, blend, book odds, model probability, implied probability, edge, and EV per 100.
Can I see how the models have performed?: Yes. Historical ROI breaks results by period and book, with game vs props cards, edge buckets, bet-type / prop-type breakdowns (bets, wins, losses, ROI), and time-series views.