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LineupLab — DFS Lineup Optimization Analytics

Turn massive match and player stats into winning lineups.

Sports Analytics Co., Ltd. — From ingesting and normalizing large volumes of stats to generating and simulating optimal lineups under budget and position constraints, all unified in a single DFS analytics SaaS. Powers data-driven "winning decisions."

-80%
Reduced lineup creation time
Manual analysis → automated optimization
+25%
Higher contest top-finish rate
Gut feel → data-driven
90%+
Subscription retention rate
One-off use → recurring subscription
Challenge
Before

Manually aggregating and analyzing huge volumes of player stats for every match, then building a winning lineup within limited budget and position constraints, left them short on both time and expertise.

  • Reduce the burden of manually analyzing massive player data
    Hundreds of players × dozens of metrics per match
  • Build winning lineups quickly
    30+ min per manual lineup
  • Keep up with the latest pre-match stats in real time
    Starting lineups shift right up to kickoff
  • Deliver value that drives recurring revenue
    Persistently high one-off churn
Solution
After

Automates stats ingestion and normalization, generating optimal lineups in seconds with linear programming. Winning decisions for users, stable data quality for operations, recurring revenue for the business — a DFS analytics platform that maximizes value for all three at once.

End-to-End Pipeline: Ingest → Optimize → Visualize Data Source Matches / Players Stats Ingest / Normalize Bull Queue Scraping Analytics Engine Optimizer/Simulator Linear Programming Dashboard Visualize CSV Export Instant optimal lineup suggestions
app.lineuplab.example.jp/optimizer
Optimize Projected points (by player)
Analytics Dashboard — Rankings, Optimization, and Predictions in One View
Tech Stack React Express MySQL/Redis Bull Queue AWS
9months
54person-months
Considering adopting it at your company? → info@amela.vn