The objective of this study is to compare failed regions (FRs) in the ribs from a computational human body model using two different methods vs. PMHS rib fractures observed in published biomechanics tests. The Global Human Body Models Consortium 50th percentile male occupant model was used in all simulations. Fourteen simulations were conducted with rib FRs either predicted probabilistically (PFR) or deterministically (DFR). The impacts were as follows: a 6.7 m/s chest hub, a 12.0 m/s lateral plate, a 6.7 m/s shoulder hub, a 6.7 m/s thoracoabdominal hub, a 6.0 m/s abdominal bar, a 10 m/s lateral pelvis, and a 6.7 m/s Heidelberg-type lateral sled. Prediction of DFRs was achieved through a scheme that analyzes eliminated elements based on effective plastic strain exceeding 0.018 in 4 contiguous elements. Prediction of PFRs used an analysis of maximum principle strains in the ribs and a default age of 35 years. In the pelvic block impact there was 1 DFR and 2 PFRs compared with an average of 1.5 fractures found by Bouquet et al, 1998. The lateral plate impact had higher predictions with 43 DFRs and 28 PFRs whereas the average fracture count in the study by Kemper et al, 2008 was 22.5. The chest hub impact conducted by Kroell et al (1971, 1974) found 9.4 ± 7.2 fractures and in our simulations, 5 DFRs and 11 PFRs were predicted. Finally, in the lateral sled case, 21 PFRs and 26 DFR’s were predicted compared to an average of 14 in the PMHS tests. The average age of all PMHS was 64.8 years old. The criteria for FRs should to be further tuned to match experimental values. When fracture counts are high in the experiments, the DFRs and PFRs surprisingly both exceed the reported value, despite the lack of eliminated elements in the PFR scheme. However, in cases where fractures were low, better agreement was found between experimental, DFR and PFR predictions. Future work will focus on the effect of cortical thickness, and age as a predictor; either making material adjustments as function of age in the DFR scheme or explicitly accounting for it in the PFR scheme.