Studies looking into second language development have shown that findings about a group of learners cannot be transferred to individual learners. In this study, we explored ways to meaningfully group individuals starting from the data and investigated whether this grouping can give extra information about learning trajectories that goes beyond the individual learner. We followed 61 learners for 10 months, collected information about various individual difference variables at the start of the study, and investigated speaking development by collecting data on a weekly basis. We investigated whether it was possible to discern learner types through cluster analysis starting from five individual difference variables. This resulted in three learner types that differ from each other in their speaking development. Within each learner type, there are differences but also clear similarities across learners. The study shows that adopting a person-centered approach to grouping learners can contribute to uncovering patterns in learners' development.