Summer League is the NBA's clearest preview of who's ready
Enter player stats and team needs to see projected roster probability. Results update instantly as you adjust inputs.
Player Analysis
| Player | PPG | RPG | APG | FG% | 3P% | Player Impact |
|---|---|---|---|---|---|---|
Team Needs
Understanding the Projections
High Impact Player
Ja Morant type: 22+ points, 5+ rebounds, 6+ assists with 48% shooting projects 85-95% roster likelihood. Elite playmaking combined with efficient scoring is the clearest path to a roster spot.
Role Player
Myles Bender type: 8 points, 4 rebounds, solid defense but limited offense projects 40-60% chance. Teams keep players who fill specific needs even with modest stats.
Development Project
G-League call-up type: High athleticism but inconsistent shooting drops projections to 20-40%. Teams see potential but need to see it translate to NBA competition.
Frequently Asked Questions
How are roster probabilities calculated?
The model weights statistical production (40%), positional fit (30%), impact level (20%), and team need alignment (10%). Higher need positions make roster spots harder to earn.
Do contract situations matter?
Rookie contracts, two-way spots, and camp invites are factored in. Players with guaranteed money have higher floor projections. Undrafted free agents need exceptional Summer League play to earn spots.
What about defensive metrics?
Traditional box score defense is limited. The "Player Impact" dropdown captures intangibles like hustle, positioning, and communication which are critical for roster decisions.