Real contest entries
A lineup the account actually entered, matched to a DraftKings contest standings row. Entry fees, rank and payout may be counted in personal performance.
DFS EDGEDFS Edge measures projections, simulations and lineup strategies, but it does not treat every useful data point as proof. This page explains what the numbers mean, what can influence the live builder, and what is deliberately kept out of reported winnings.
The fastest way to create misleading performance claims is to mix played entries, backtests and unplayed lineups. DFS Edge keeps them separate.
A lineup the account actually entered, matched to a DraftKings contest standings row. Entry fees, rank and payout may be counted in personal performance.
Champion and challenger portfolios are saved before results are known, then scored on the same completed slate. These are the strongest model-comparison evidence.
Previously completed slates replayed with known outcomes. Useful for calibration and research, but never described as a real entry or forward-test win.
What an unplayed lineup would have scored or earned. It can help evaluate lineup quality, but it is never added to win/loss, payout or ROI totals.
This scorecard separates completed result data from lineups that were personally entered. Hypothetical payouts never appear as winnings.
Median projection error and correlation with actual DraftKings fantasy points, checked on unseen slates and by position.
Estimated ownership compared with actual contest ownership when the uploaded file contains a complete, recognizable player pool.
How simulated score distributions and percentile estimates compare with actual contest standings and payout thresholds.
Stacking, correlation, leverage, duplication and portfolio diversity evaluated using lineups saved before outcomes are known.
The current user-facing builder remains the champion while a learned challenger competes invisibly on the same future slates.
The active builder and hidden challenger are recorded before results are available.
Uploaded player results and contest standings are tied to the exact sport, slate and lineup.
Projection error, percentile finish, duplication, ownership, payout and portfolio behavior are measured separately.
A learned adjustment must improve unseen slates without materially harming a position group.
A challenger earns influence only after repeated forward-test evidence. One strong slate is not enough.
Current slate information, which may change as news and feeds update.
Passed the defined evidence and safety requirements on independent data.
Useful observations exist, but the minimum independent sample has not been reached.
The proposed adjustment failed a safety or improvement gate and is not applied.
Sports outcomes remain uncertain. DFS Edge is analytics software, not a sportsbook, contest operator or financial product.
Every strategy is designed to help users make more informed lineup decisions while keeping uncertainty visible.
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