The postural instability theory claims that postural instability precedes visually induced motion sickness (VIMS) or, in the case of virtual reality (VR), cybersickness. If this theory holds, there needs to be a temporal connection between postural instability and the onset of reported cybersickness. Thus, a head-movement-based cybersickness dose value (hmCSDV) is postulated. The hmCSDV uses the individuals’ motion patterns before, during, and after VR exposure. For reasons of efficiency head movement is accessed via the built-in sensors of the head-mounted display. In addition, controller input during VR exposure is used to account for individual differences in perceived virtual motion. In total, data from 169 participants were available for modeling. To address the aspect of gamification the experimental task allowed the participant to virtually explore a VR city and collect checkpoints. Multivariate non-normality was respected in all statistical analyses. The feasible generalized least squares regressions with the within effect of time showed significant results for the prediction of cybersickness ratings during VR exposure, but not for the comparison before and after VR. The final hmCSDV suggested that shorter distances, higher mean acceleration, longer duration of for-or-aft motion, more frequent stops, and shorter duration of these stops as a function of total time spent in VR accounted for 5.4% of the total variability in impending cybersickness ratings. Methodological features and limitations of the study are discussed. This finding holds promise for algorithms that can be used to predict individual cybersickness severity and provide potential countermeasures before symptoms occur.