The screener
How every player's numbers change by situation: back-to-backs, road trips, a teammate out, a fast opponent. Four seasons of box scores plus this one, every game tagged.
112,402 player-games tagged · 0 this season · history since 2022-23 · updated
Venue
Home games+1.3 ptsLast 31 above · 2 below his usual3.3 pts in 3 gamestiny sample
| Date | Opp | Min | Points | |
|---|---|---|---|---|
| Apr 13 '26 | vs NOP | W | 20 | 8.0 pts |
| Mar 7 '26 | vs ORL | L | 5 | 2.0 pts |
| Feb 23 '26 | vs PHI | L | 4 | 0.0 pts |
Opponent
Opponent travelled 1,500+ km+1.3 ptsLast 31 above · 2 below his usual3.3 pts in 3 gamestiny sample
| Date | Opp | Min | Points | |
|---|---|---|---|---|
| Apr 13 '26 | vs NOP | W | 20 | 8.0 pts |
| Mar 7 '26 | vs ORL | L | 5 | 2.0 pts |
| Feb 23 '26 | vs PHI | L | 4 | 0.0 pts |
Teammate situations are per team. Teams: 2025-26: MIN.
How to read the screener
How to read it. Usually is his average in his latest full season. Shift compares his games in the situation with his other games in the same season, then pools the seasons, so a role change between seasons does not fake a shift. Avg in situation is the plain average of those games. The strength word says how much to read into it: strong and notable are unlikely to be luck; could be noise and tiny sample are exactly that. Past games only, not predictions.