diff --git a/mlair/plotting/postprocessing_plotting.py b/mlair/plotting/postprocessing_plotting.py
index 8ef634ef174ac7e91fd76ad5f6aa7645893d0571..2abdbecbd45f187179598e69c8d286280106e35b 100644
--- a/mlair/plotting/postprocessing_plotting.py
+++ b/mlair/plotting/postprocessing_plotting.py
@@ -639,11 +639,10 @@ class PlotSectorialSkillScore(AbstractPlotClass):  # pragma: no cover
         data = self._data
         sns.boxplot(x="sector", y="data", hue="ahead", data=data, whis=1, ax=ax, palette="Blues_d",
                     showmeans=True, meanprops={"markersize": 3, "markeredgecolor": "k"}, flierprops={"marker": "."},
-                    ylim=self._lim(data)
                     )
         ax.axhline(y=0, color="grey", linewidth=.5)
         ax.set(ylabel=f"skill score ({self._model_setup} vs. {self._reference_model})", xlabel="sector",
-               title="summary of all stations")
+               title="summary of all stations", ylim=self._lim(data))
         handles, _ = ax.get_legend_handles_labels()
         plt.xticks(rotation=45, horizontalalignment="right")
         ax.legend(handles, self._labels)
@@ -655,11 +654,10 @@ class PlotSectorialSkillScore(AbstractPlotClass):  # pragma: no cover
         data = self._data
         sns.boxplot(y="sector", x="data", hue="ahead", data=data, whis=1.5, ax=ax, palette="Blues_d",
                     showmeans=True, meanprops={"markersize": 3, "markeredgecolor": "k"}, flierprops={"marker": "."},
-                    xlim=self._lim(data)
-                        )
+                    )
         ax.axvline(x=0, color="grey", linewidth=.5)
         ax.set(xlabel=f"skill score ({self._model_setup} vs. {self._reference_model})", ylabel="sector",
-               title="summary of all stations")
+               title="summary of all stations", xlim=self._lim(data))
         handles, _ = ax.get_legend_handles_labels()
         ax.legend(handles, self._labels)
         plt.tight_layout()