USAGEBOOST.COM

How We Crunch the Data

We analyze historical game logs to identify patterns in player performance when specific teammates are injured. Our algorithms track usage rate changes, minutes increases, and fantasy point boosts across thousands of NBA games.

When a key player goes down, we match that injury scenario to similar historical situations and calculate expected boosts for teammates based on position, role, and past performance.

Understanding Usage Rate Boosts

When a key NBA player is injured, offensive responsibilities shift dramatically. Usage rate—the percentage of team plays a player uses while on the court—often spikes for ball-dominant guards, primary scorers, and bench players thrust into larger roles.

Our data tracks historical usage rate changes when specific teammates are out. When a team's leading scorer or primary ball-handler goes down, backup guards and secondary options typically see usage increases of 5-15%.

Fantasy Basketball & DFS Impact

For fantasy basketball and DFS players, understanding usage rate boosts is crucial for lineup optimization. Players with projected usage increases often outperform their season averages, making them valuable value plays or high-upside tournament options.

Minutes increases typically correlate with usage boosts, amplifying fantasy point potential. The data is updated daily based on current NBA injury reports and historical performance correlations.

Usage rate increases aren't just about more shots—they often include increased playmaking responsibilities, more time with the ball in their hands, and expanded offensive roles. Guards typically see the biggest usage jumps when starting guards are out, while big men benefit when frontcourt players are injured.

Centers and forwards may see smaller but meaningful boosts in touches, rebounds, and shot attempts. Daily fantasy sports (DFS) players benefit most from usage rate analysis. When evaluating injury replacements, look for players in similar positions or roles who historically see increased usage.

Our platform shows real-time projections based on historical correlations, helping you identify the biggest beneficiaries of each injury situation. The data is calculated from actual game logs, not projections or estimates—giving you actionable insights based on what has actually happened in similar scenarios.