How Our Data-Driven System Works

Our lineup optimization system combines multiple data sources and constraint-based optimization to generate FanDuel Main Slate lineups. Here's how we do it today, and where we're headed next:

Data Collection

We aggregate player projections, injury reports, historical performance, and matchup data to build comprehensive player profiles.

Value & Optimization

We score players on points-per-dollar and apply salary, position, and stacking constraints to build optimal lineups.

Lineup Generation

We generate lineups ranked by projected points, giving you strong starting points for cash and tournament play.

Detailed Process

Live todayOn our roadmap

1. Data Aggregation

We collect data from multiple sources including:

  • Player projections from leading fantasy sites
  • Injury reports and practice participation
  • Historical performance data and trends
  • Defensive rankings and matchup analysis
  • Weather conditions and game situationsComing soon
  • Ownership projections and public sentimentComing soon

2. Value Calculation

Our algorithms calculate multiple value metrics:

  • Points per dollar (PPD) ratios
  • Stacking and correlation benefits
  • Upside potential vs. floor projectionsComing soon
  • Correlation analysis between playersComing soon
  • Contrarian value opportunitiesComing soon

3. Constraint Optimization

We solve the complex optimization problem considering:

  • FanDuel salary cap constraints ($60,000)
  • Position requirements (QB, RB, RB, WR, WR, WR, TE, FLEX, DST)
  • Team stacking limits and correlations
  • Ownership projections for tournament playComing soon
  • Risk tolerance for cash vs. tournament lineupsComing soon

4. Lineup Generation

Today we generate optimized lineups ranked by projected points. Specialized variation modes are on our roadmap:

  • High-floor lineups for cash gamesComing soon
  • High-upside lineups for tournamentsComing soon
  • Contrarian lineups with low ownershipComing soon
  • Balanced lineups with moderate riskComing soon
  • Stack-heavy lineups for correlationComing soon

Why Our Approach Works

Data-Driven Decisions

We eliminate emotional bias by relying on comprehensive data analysis and proven statistical models.

Constraint-Based Optimization

Our optimizer respects salary cap, position, and stacking rules to surface lineups you can actually submit.

Comprehensive Analysis

We consider factors that casual players often overlook, like injuries, matchups, and historical trends.

Continuous Updates

Our lineups are updated throughout the week as new information becomes available and conditions change.

The Science Behind
Winning Lineups

Our 4-step optimization process transforms raw data into actionable lineups. Every decision is backed by algorithms, not guesswork.

See exactly how we build lineups that maximize value and projected points.

1

Data Collection

Gather projections, matchups, salaries, and injury reports

2

Analysis

Analyze value, correlations, and optimal stacking strategies

3

Optimization

Run algorithms to maximize projected points within salary constraints

4

Lineup Generation

Generate 50+ unique, optimized lineups ready to use

Data Collection

Multiple data sources

Projections
Salaries
Matchups

Analysis Engine

Value & correlation analysis

Optimization

Algorithm processing

Processing...

Lineup Generation

50+ optimized lineups

Lineup 1
Lineup 2
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