diff --git a/various-tools/player dat/reader.py b/various-tools/player dat/reader.py
index 75dbb09..19321a6 100644
--- a/various-tools/player dat/reader.py	
+++ b/various-tools/player dat/reader.py	
@@ -23,7 +23,7 @@ def read_byte(f):
 
 def parse_pak_file(file_path, output_xlsx):
     with open(file_path, "rb") as f:
-        num_elements = read_int_old(f, 2)
+        num_elements = read_int_old(f, 2)  # Read header (2 bytes)
         data = []
         
         for _ in range(num_elements):
@@ -39,12 +39,7 @@ def parse_pak_file(file_path, output_xlsx):
                 "String4": read_string(f),
                 "String5": read_string(f),
                 "String6": read_string(f),
-                "Field5": read_int(f),
-                "Float1": read_int(f, 1),
-                "Float2": read_int(f, 1),
-                "Float3": read_int(f, 1),
-                "Float4": read_int(f, 1),
-                "Field6": read_byte(f),
+                "Field5": read_int(f, 9),
                 "Field7": read_byte(f),
                 "Field8": read_int(f),
                 "Field9": read_byte(f),
@@ -76,13 +71,9 @@ def parse_pak_file(file_path, output_xlsx):
                 "Field35": read_int(f),
                 "Field36": read_int(f),
                 "Field37": read_int(f),
-                "Field38": read_byte(f)
+                "Field38": read_int(f, 2)
             }
-            # This is a hack (not derived from IDA) but there are discrepancies here that can be addressed this way
-            if (entry["String5"] != "" or entry["String6"] != "" ):
-                entry["Field39"] = read_int(f)
-            
-            entry["Field40"] = read_byte(f)
+
             data.append(entry)
 
     df = pd.DataFrame(data)
diff --git a/various-tools/player dat/readme.txt b/various-tools/player dat/readme.txt
index 7fb69a1..0d38dc8 100644
--- a/various-tools/player dat/readme.txt	
+++ b/various-tools/player dat/readme.txt	
@@ -1,5 +1 @@
 Converts player.dat to and from xlsx sheets.
-
-The data format is definitely not 100% correct here, and there is a bodge to address the 4 redundant bytes on the first few rows.
-
-But it works!
\ No newline at end of file
diff --git a/various-tools/player dat/writer.py b/various-tools/player dat/writer.py
index 9f92052..693548a 100644
--- a/various-tools/player dat/writer.py	
+++ b/various-tools/player dat/writer.py	
@@ -3,7 +3,7 @@ import pandas as pd
 
 def write_string(f, s):
     if pd.isna(s):
-        f.write(struct.pack("B", 0))
+        f.write(struct.pack("B", 0))  # Write 00 if string is empty
     else:
         encoded = s.encode("utf-8")
         f.write(struct.pack("B", len(encoded)))
@@ -14,7 +14,7 @@ def write_int(f, value, size=4):
 
 def write_byte(f, value):
     if pd.isna(value):
-        f.write(struct.pack("B", 0))
+        f.write(struct.pack("B", 0))  # Write 00 if string is empty
     else:
         f.write(bytes.fromhex(value))
 
@@ -23,7 +23,7 @@ def convert_xlsx_to_dat(input_xlsx, output_dat):
     
     with open(output_dat, "wb") as f:
         num_elements = len(df)
-        write_int(f, f"{num_elements:04X}", 2)
+        write_int(f, f"{num_elements:04X}", 2)  # Header (2 bytes for number of elements)
         
         for _, row in df.iterrows():
             write_int(f, row["Field1"])
@@ -37,11 +37,6 @@ def convert_xlsx_to_dat(input_xlsx, output_dat):
             write_string(f, row["String5"])
             write_string(f, row["String6"])
             write_int(f, row["Field5"])
-            write_byte(f, row["Float1"])
-            write_byte(f, row["Float2"])
-            write_byte(f, row["Float3"])
-            write_byte(f, row["Float4"])
-            write_byte(f, row["Field6"])
             write_byte(f, row["Field7"])
             write_int(f, row["Field8"])
             write_byte(f, row["Field9"])
@@ -75,9 +70,5 @@ def convert_xlsx_to_dat(input_xlsx, output_dat):
             write_int(f, row["Field37"])
             write_byte(f, row["Field38"])
             
-            if pd.notna(row.get("Field39")):
-                write_int(f, row["Field39"])
-            
-            write_byte(f, row["Field40"])
     
 convert_xlsx_to_dat("player.xlsx", "out_player.dat")