diff --git a/tools/test/compare_builds.sh b/tools/test/compare_builds.sh
index 788558d7e0..54593af6c4 100755
--- a/tools/test/compare_builds.sh
+++ b/tools/test/compare_builds.sh
@@ -40,7 +40,7 @@ done
 
 # Log duration
 WAIT_DURATION=5
-LOG_DURATION=$((30 + WAIT_DURATION))
+LOG_DURATION=$((60 + WAIT_DURATION))
 
 # Loop through all build*/bin/eden executables
 for eden_bin in build*/bin/eden; do
@@ -49,14 +49,23 @@ for eden_bin in build*/bin/eden; do
         continue
     fi
 
-    # Extract build name
-    build_name=$(dirname "$eden_bin" | cut -d'/' -f1)
+    # Extract build path and make a unique folder name
+    build_path=$(dirname "$eden_bin")
+    build_name=$(echo "$build_path" | tr '/' '_')
 
     # Timestamp for unique log folder
     timestamp=$(date +%Y-%m-%d_%H-%M-%S)
     log_dir="$BASE_LOG_DIR/$build_name/$timestamp"
     mkdir -p "$log_dir"
 
+    # Save eden-cli version for this build
+    eden_cli="$build_path/eden-cli"
+    if [[ -x "$eden_cli" ]]; then
+        "$eden_cli" --version > "$log_dir/eden-cli-version.txt" 2>&1
+    else
+        echo "eden-cli not found in $build_path, skipping version record" > "$log_dir/eden-cli-version.txt"
+    fi
+
     echo "Running $eden_bin → logs will be saved in $log_dir"
 
     # Set MangoHud environment variables
diff --git a/tools/test/compare_logs.py b/tools/test/compare_logs.py
index 9c70fa992e..8352a8085c 100755
--- a/tools/test/compare_logs.py
+++ b/tools/test/compare_logs.py
@@ -8,6 +8,7 @@ import pandas as pd
 import matplotlib.pyplot as plt
 import glob
 import os
+import re
 
 # Check required Python modules
 required_modules = ["pandas", "matplotlib"]
@@ -49,19 +50,25 @@ colors = plt.colormaps['tab10']
 
 stats = []
 
-# Track which folders have CSVs
-folders_with_csv = set()
-
 for i, csv_file in enumerate(csv_files):
-    folder = os.path.dirname(csv_file)
-    folders_with_csv.add(folder)
+    # Relative path from base folder
+    relative_path = os.path.relpath(csv_file, log_base_folder)
+
+    # Read eden-cli version if exists
+    log_dir = os.path.dirname(csv_file)
+    version_file = os.path.join(log_dir, "eden-cli-version.txt")
+    if os.path.exists(version_file):
+        with open(version_file, "r") as f:
+            eden_version = f.read().strip()
+    else:
+        eden_version = "unknown version"
 
     # Corresponding summary file
     summary_file = csv_file.replace(".csv", "_summary.csv")
     
     # Skip empty CSVs
     if os.path.getsize(csv_file) == 0:
-        print(f"Skipping {csv_file}: file is empty")
+        print(f"Skipping {relative_path}: file is empty")
         continue
 
     # Read main CSV (skip system info lines)
@@ -69,16 +76,22 @@ for i, csv_file in enumerate(csv_files):
     df.columns = df.columns.str.strip()
     
     if 'fps' not in df.columns:
-        print(f"Skipping {csv_file}: no 'fps' column found")
+        print(f"Skipping {relative_path}: no 'fps' column found")
         continue
 
     y = df['fps']
-    x = range(len(y))
 
-    # Compute statistics from main CSV
-    mean_fps = y.mean()
-    min_fps = y.min()
-    max_fps = y.max()
+    # --- FILTRAR OUTLIERS ---
+    mean_y = y.mean()
+    std_y = y.std()
+    y_filtered = y[(y >= mean_y - 3*std_y) & (y <= mean_y + 3*std_y)]
+    x_filtered = range(len(y_filtered))
+    # ------------------------
+
+    # Compute statistics from filtered data
+    mean_fps = y_filtered.mean()
+    min_fps = y_filtered.min()
+    max_fps = y_filtered.max()
 
     # Read summary CSV if exists
     summary_text = ""
@@ -93,15 +106,20 @@ for i, csv_file in enumerate(csv_files):
         except Exception as e:
             print(f"Could not read summary for {summary_file}: {e}")
 
-    stats.append((os.path.basename(csv_file), mean_fps, min_fps, max_fps, summary_text))
+    # Store stats including version
+    stats.append((relative_path, mean_fps, min_fps, max_fps, summary_text, eden_version))
 
-    # Plot FPS line with summary info
-    plt.plot(x, y, label=f"{os.path.basename(csv_file)} (avg={mean_fps:.1f}){summary_text}", color=colors(i % 10))
+    # Plot FPS line with filtered data
+    plt.plot(
+        x_filtered, y_filtered,
+        label=f"{relative_path} (avg={mean_fps:.1f}) [{eden_version}]{summary_text}",
+        color=colors(i % 10)
+    )
 
 # Configure plot
 plt.xlabel('Frame')
 plt.ylabel('FPS')
-plt.title('FPS Comparison Across All Builds')
+plt.title('FPS Comparison Across All Builds (Outliers Removed)')
 plt.legend()
 plt.grid(True)
 plt.tight_layout()
@@ -111,10 +129,13 @@ png_file = os.path.join(os.getcwd(), "fps_comparison_all_builds.png")
 plt.savefig(png_file, dpi=200)
 plt.show()
 
-# Print statistics in terminal
-print("\nFPS Summary by file:")
-for name, mean_fps, min_fps, max_fps, summary_text in stats:
-    print(f"{name}: mean={mean_fps:.1f}, min={min_fps:.1f}, max={max_fps:.1f}{summary_text}")
+# Print concise statistics grouped by build folder
+print("\nFPS Summary by build folder (concise):")
+for name, mean_fps, min_fps, max_fps, summary_text, eden_version in stats:
+    log_folder = os.path.dirname(name)                # pasta do CSV (_timestamp_)
+    build_folder = os.path.basename(os.path.dirname(log_folder))  # pasta do build*
+    version_short = eden_version.split()[0] if eden_version != "unknown version" else "unknown"
+    print(f"{build_folder} | {version_short} | mean={mean_fps:.1f}, min={min_fps:.1f}, max={max_fps:.1f}")
 
 print("\n----------------------------")
 print(f"Total CSV files processed: {len(stats)}")