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By filtering for players averaging at least 18 minutes per game in both samples, this report removes small-sample noise and focuses on more meaningful role changes. The goal is simple: identify which players are seeing expanded offensive responsibility, more on-ball involvement, or a clear shift in how their teams are using them.
Below are the most notable usage risers across the NBA over the last week.
NBA Usage Rate Changes: Key Weekly Shifts
NBA usage rate changes over the last seven days can reveal early rotation shifts before they fully show up in box score production.
Below are the most notable usage risers across the NBA over the last week.
| Player | Season USG | Last 7 USG | Δ USG | Season MPG | Last 7 MPG | Δ MPG |
|---|---|---|---|---|---|---|
| Ace Bailey (UTA) | 19.7 | 32.1 | +12.4 | 27.1 | 29.3 | +2.3 |
| Coby White (CHA) | 27.0 | 37.8 | +10.8 | 27.0 | 20.7 | -6.3 |
| Kyle Filipowski (UTA) | 18.7 | 28.2 | +9.5 | 22.8 | 22.0 | -0.8 |
| Nolan Traore (BKN) | 20.6 | 29.2 | +8.6 | 22.4 | 23.2 | +0.9 |
| Jalen Duren (DET) | 22.8 | 31.1 | +8.3 | 28.2 | 25.7 | -2.5 |
| GG Jackson (MEM) | 21.8 | 29.3 | +7.5 | 20.7 | 24.5 | +3.8 |
| VJ Edgecombe (PHI) | 19.1 | 26.4 | +7.3 | 34.9 | 29.7 | -5.2 |
| Naji Marshall (DAL) | 19.5 | 26.2 | +6.7 | 29.6 | 32.7 | +3.1 |
| Karl-Anthony Towns (NYK) | 24.7 | 31.3 | +6.6 | 31.2 | 28.7 | -2.5 |
| Malik Monk (SAC) | 23.4 | 30.0 | +6.6 | 21.9 | 22.5 | +0.6 |
Usage risers are based on last 7 days versus season baseline. Only players with at least 18 MPG in both samples and at least 2 games played over the last 7 days were included.
Usage Spikes
This section focuses on the most notable usage spikes from the last seven days. The goal is to isolate players seeing a real jump in offensive responsibility, while filtering out lower-minute noise.
Minute Shifts
Minute shifts can be one of the cleanest indicators of a role change, especially when the increase is large enough to matter even before full box score production catches up. This section highlights the biggest last 7-day MPG risers in the current sample, while also showing whether the extra floor time came with more offensive responsibility or just a larger workload.
Minute shifts can be one of the cleanest indicators of a role change, especially when the increase is large enough to matter even before full box score production catches up. This section highlights the biggest last 7-day MPG risers in the current sample, while also showing whether the extra floor time came with more offensive responsibility or just a larger workload.
Assist Role (AST%) — Season vs Last 7
| PLAYER | MPG (SZN) | MPG (L7) | AST% (SZN) | AST% (L7) | Δ AST% (PP) | Δ AST% |
|---|---|---|---|---|---|---|
| Alex Sarr (WAS) | 27.6 | 19.0 | 16.8 | 40.0 | +23.2 | +138% |
| Malik Monk (SAC) | 21.9 | 22.5 | 23.0 | 42.3 | +19.3 | +84% |
| Russell Westbrook (SAC) | 29.4 | 30.7 | 41.5 | 60.0 | +18.5 | +45% |
| Ty Jerome (MEM) | 22.1 | 24.7 | 45.5 | 64.0 | +18.5 | +41% |
| Josh Giddey (CHI) | 32.0 | 39.3 | 44.7 | 62.5 | +17.8 | +40% |
Rebound Role (REB%) — Season vs Last 7
Rebound role changes can help surface players who are operating in a more active possession-finishing role, whether through stronger glass involvement, lineup changes, or short-term shifts in team context. By comparing season REB% to the last seven days, this section highlights the clearest rebound role risers in the current filtered sample.
| PLAYER | MPG (SZN) | MPG (L7) | REB% (SZN) | REB% (L7) | Δ REB% (PP) | Δ REB% |
|---|---|---|---|---|---|---|
| Ayo Dosunmu (MIN) | 26.3 | 31.0 | 11.9 | 24.2 | +12.3 | +103% |
| Bam Adebayo (MIA) | 31.9 | 38.3 | 31.8 | 43.7 | +11.9 | +37% |
| Amen Thompson (HOU) | 37.1 | 39.5 | 20.8 | 32.7 | +11.9 | +57% |
| Collin Sexton (CHI) | 23.1 | 20.0 | 9.2 | 18.8 | +9.6 | +104% |
| Tyler Herro (MIA) | 30.6 | 37.0 | 16.0 | 25.0 | +9.0 | +56% |
Deep League risers
Deep league risers are often less about star-level production and more about subtle role growth that can become useful before the market fully reacts. This section narrows the pool to players averaging between 15 and 22 minutes per game on the season, then highlights the names showing the most meaningful recent usage or workload growth over the last seven days.
Deep league risers are often less about star-level production and more about subtle role growth that can become useful before the market fully reacts. This section narrows the pool to players averaging between 15 and 22 minutes per game on the season, then highlights the names showing the most meaningful recent usage or workload growth over the last seven days.
