diff --git a/desktop_env/evaluators/metrics/table.py b/desktop_env/evaluators/metrics/table.py
index a35c13b..4a58e50 100644
--- a/desktop_env/evaluators/metrics/table.py
+++ b/desktop_env/evaluators/metrics/table.py
@@ -12,6 +12,7 @@ import pandas as pd
 from openpyxl import Workbook
 from openpyxl.cell.cell import Cell
 from openpyxl.worksheet.cell_range import MultiCellRange
+from openpyxl.utils import get_column_letter
 from openpyxl.worksheet.datavalidation import DataValidation
 from openpyxl.worksheet.worksheet import Worksheet
 
@@ -208,8 +209,10 @@ def compare_table(result: str, expected: str = None, **options) -> float:
             for rl in r["rules"]:
                 for rng in MultiCellRange(rl["range"]):
                     for cdn in rng.cells:
-                        value1: str = str(read_cell_value(*sheet1, cdn))
-                        value2: str = str(read_cell_value(*sheet2, cdn))
+                        coordinate: str = "{:}{:d}".format(get_column_letter(cdn[1]), cdn[0])
+                        value1: str = str(read_cell_value(*sheet1, coordinate))
+                        value2: str = str(read_cell_value(*sheet2, coordinate))
+                        logger.debug("%s: %s vs %s", cdn, value1, value2)
 
                         for rplc in rl.get("normalization", []):
                             value1 = value1.replace(rplc[0], rplc[1])
@@ -230,11 +233,11 @@ def compare_table(result: str, expected: str = None, **options) -> float:
 
                         if rl["type"]=="includes":
                             metric: bool = value1 in value2
-                        if rl["type"]=="includes_by":
+                        elif rl["type"]=="includes_by":
                             metric: bool = value2 in value1
-                        if rl["type"]=="fuzzy_match":
+                        elif rl["type"]=="fuzzy_match":
                             metric: bool = fuzz.ratio(value1, value2) >= rl.get("threshold", 85.)
-                        if rl["type"]=="exact_match":
+                        elif rl["type"]=="exact_match":
                             metric: bool = value1==value2
                         total_metric = total_metric and metric