Understanding python XGBoost model dump output of a very simple tree
The scores at leaves measure log-odds, not probabilities.  (With more trees, these scores get summed to give a final log-odds approximation, then goes through a sigmoid to get probability approximations.)

And indeed, $1/(1+e^{-0.00475667})\approx 0.501189$.