We analyse the density profiles of the stellar halo populations in eight Milky-Way mass galaxies , simulated within the \Lambda -Cold Dark Matter scenario .
We find that accreted stars can be well-fitted by an Einasto profile , as well as any subsample defined according to metallicity .
We detect a clear correlation between the Einasto fitting parameters of the low-metallicity stellar populations and those of the dark matter haloes .
The correlations for stars with [ Fe/H ] < -3 allow us to predict the shape of the dark matter profiles within residuals of \sim 10 per cent , in case the contribution from in situ stars remains small .
Using Einasto parameters estimated for the stellar halo of the Milky Way and assuming the later formed with significant contributions from accreted low-mass satellite , our simulations predict \alpha \sim 0.15 and r _ { 2 } \sim 15 kpc for its dark matter profile .
These values , combined with observed estimations of the local dark matter density , yield an enclosed dark matter mass at \sim 8 kpc in the range 3.9 - 6.7 \times 10 ^ { 10 } M _ { \odot } , in agreement with recent observational results .
These findings suggest that low-metallicity stellar haloes could store relevant information on the DM haloes .
Forthcoming observations would help us to further constrain our models and predictions .