Ferroptosis is a recently discovered type of programmed cell death that is implicated in many cancers and neurodegenerative diseases. It is dependent on the accumulation of iron and lipid reactive oxygen species. If targeted, this mechanism could be used as an alternative mediator of cell death in cancers which have become resistant to apoptosis. It has been shown that large b cell lymphomas and renal cell carcinomas are most susceptible to this regulated cell death. Characterizing and understanding this process is imperative for developing effective treatments using this mechanism. Predicting a cell type's susceptibility to ferroptosis could aid in this treatment process and further develop the key factors in ferroptosis. A mathematical model was developed to predict this outcome in the renal cell carcinoma context. Multi-level analyses of predictor variables were performed; a single feature linear regression model proved to be the most effective. After extensive validation, ferroptosis susceptibility was accurately predicted using labile iron pool measurements. With further extension into various types of cancers and contexts, this can be a useful tool in determining a cell's ability to be induced into ferroptosis, furthering the research in this breakthrough mechanism.