diff --git a/src/graph.py b/src/graph.py
index 860a495..79f64bf 100644
--- a/src/graph.py
+++ b/src/graph.py
@@ -203,7 +203,7 @@ class PathFinder:
                 edge, path, voice_stay_count, config, cumulative_trans
             ) * config.get("weight_dca", 1)
             w += self._factor_target_range(
-                edge_data, path, config, cumulative_trans
+                edge, path, config, cumulative_trans
             ) * config.get("weight_target_range", 1)
 
             weights.append(w)
@@ -338,7 +338,7 @@ class PathFinder:
 
     def _factor_target_range(
         self,
-        edge_data: dict,
+        edge: tuple,
         path: list,
         config: dict,
         cumulative_trans: "Pitch | None",
@@ -346,6 +346,7 @@ class PathFinder:
         """Returns factor based on movement toward target.
 
         Target progresses based on position in path.
+        Uses average cents of current chord for accurate targeting.
         Factor > 1.0 if moving toward target, < 1.0 if moving away.
         """
         if config.get("weight_target_range", 1) == 0:
@@ -364,17 +365,29 @@ class PathFinder:
         progress = len(path) / max_path
         current_target = progress * target_cents
 
-        current_cumulative_cents = cumulative_trans.to_cents()
+        current_chord = path[-1]
+        current_avg_cents = sum(p.to_cents() for p in current_chord.pitches) / len(
+            current_chord.pitches
+        )
 
+        edge_data = edge[2]
+        next_graph_node = edge[1]
         edge_trans = edge_data.get("transposition")
-        new_cumulative = cumulative_trans.transpose(edge_trans)
-        new_cumulative_cents = new_cumulative.to_cents()
+        if edge_trans is not None:
+            candidate_transposed = next_graph_node.transpose(
+                cumulative_trans.transpose(edge_trans)
+            )
+        else:
+            candidate_transposed = next_graph_node.transpose(cumulative_trans)
+        candidate_avg_cents = sum(
+            p.to_cents() for p in candidate_transposed.pitches
+        ) / len(candidate_transposed.pitches)
 
         if current_target <= 0:
             return 1.0
 
-        dist_before = abs(current_cumulative_cents - current_target)
-        dist_after = abs(new_cumulative_cents - current_target)
+        dist_before = abs(current_avg_cents - current_target)
+        dist_after = abs(candidate_avg_cents - current_target)
 
         if dist_before == 0:
             return 1.0