According to the published studies evaluated, GE, ADF, NDF, and TDF; but not EE, are the primary contributing factors to equations for predicting DE and ME in DDGS. Furthermore, the differences in chemical composition derived from using different analytical methods and laboratories must be considered when developing and evaluating accurate and precise energy prediction equations. Considering R2, P-value, PE, and bias, the equation DE = −2,161 + (1.39 × GE) − (20.7 × NDF) − (49.3 × EE) offered a moderate correlation to in vivo observed values and the least prediction bias. The ME values obtained from ME = −261 + (1.05 × GE) − (7.89 × CP) + (2.47 × NDF) − (4.99 × EE) offered the least PE and bias among tested equations. These observations suggest that relatively accurate and precise DE and ME have been developed and can be used for estimating DDGS energy values, but are highly dependent on GE concentration. Other equations that do not include an estimate of GE, and include other chemical composition variables, were not cross-validated in this evaluation because they require PS and BD data which were not provided in the other published data sets.