We give sufficient conditions to establish central limit theorems and moderate deviation principles for support estimates of Poisson point processes- . The considered estimates write as linear combinations of extreme values of the point process. Our results are illustrated on four particular cases: Haar and trigonometric series estimates, Faber-Shauder estimate and kernel estimate. A hierarchy between these estimators is proposed by comparing their optimal convergence rates.