> glimpse(player$stats)
> predict(player, season = "2026-27", interval = "credible")
2026-27 Projection
95% credible interval · wider bars = higher uncertainty
## Bayesian posterior: observed data shrunk to (pos, class) prior, adjusted for progression + transfer
> cbind(player,
> summary(lm(player$stats))
Full Breakdown
Percentiles among qualified (≥8 MPG, ≥5 G)
> plot(ts(player$, start = 1, frequency = 1))
> match(player, portal_pool)
Portal Replacements
Similar profiles in the portal
> head(player$game_log, n = )
Game Log
| Date |
Opponent |
MP |
PTS |
REB |
AST |
STL |
BLK |
TOV |
FGM |
FGA |
3PM |
3PA |
FTM |
FTA |
USG% |
ORtg |
DRtg |
SCORER |
SHOOTR |
CREATR |
ATTKR |
DSRPTR |
BOARDR |
BPM |