Here is some data on how all teams who had at least one 5-star player on their rosters faired in 2018 (regular season only).
This chart above is neat because you can see the contrast levels between the number of 5-stars and winning percentage clearly. Notre Dame, for instance, had a low number of 5-stars (1) and a high winning percentage (100%).
The R square (yellow highlight) explains the variance attributed to the number of 5-stars on a team’s roster. The significance (blue highlight) shows the likelihood of the relationship is due to randomness. The Multiple R (not highlighted) shows the correlation between the number of 5-stars on the roster and win %.
Because the data isn’t normally distributed (doesn’t take a bell-shaped curve in the histogram above), quartiles are a preferred method of looking for outliers:
|Teams w 5-star||No. of 5-Star||Win %||5-starsOutlier||Win% Outlier|