The current challenge combined log P and pK a submissions in order to evaluate the current state of log D predictions. In general we find that the accuracy of octanol-water log P predictions in SAMPL7 is higher than that of cyclohexane-water log D predictions in SAMPL5. Half of the methods in the current challenge achieved a RMSE below 2 log D units, while no submissions achieved this in the SAMPL5 challenge. Given the abundance of literature octanol-water partitioning and distribution data (compared to cyclohexane-water data in SAMPL5) it makes sense that accuracy would be higher here in SAMPL7 since trained methods (i.e. empirical methods and implicit solvent QM) are impacted by availability of training data.