The importance of developing accurate modelling tools for the prediction of reaction kinetics is well recognised. In this work, a thorough investigation of the suitability of quantum mechanical (QM) calculations to predict the effect of temperature on the rate * To whom correspondence should be addressed provide good correlated rate-constant values and to be competitive with conventional kinetic models, i.e., the Arrhenius and the three-parameter Arrhenius models. This combination of QM-calculated and experimental data sources is proved particularly beneficial when fitting to scarce experimental data. In this case, the model built on the hybrid strategy has parameters with significantly reduced uncertainty (reflected in the much narrower 95% confidence intervals) compared with the conventional kinetic models while also capturing well the experimental reaction rates with a MAE ln of the rate constant of 0.118. This provides a useful strategy for kinetic model development.