diff --git a/.gitignore b/.gitignore
index d9f7ebd..a70a966 100644
--- a/.gitignore
+++ b/.gitignore
@@ -161,3 +161,6 @@ cython_debug/
 
 
 backup
+.ipl-data
+requirements.txt
+2023
diff --git a/Makefile b/Makefile
index 25194e6..cec9561 100644
--- a/Makefile
+++ b/Makefile
@@ -1,4 +1,4 @@
-2023: .ipl-data/.c-install 2023/ipl-data-2023.pdf
+2023: .ipl-data/.c-install 2023/ipl-data-2023.pdf parse.py
 	.ipl-data/bin/python parse.py 2023/ipl-data-2023.pdf 2023/ipl-data-2023.json
 
 2023/ipl-data-2023.pdf:
diff --git a/README.md b/README.md
index 19d2a87..9484fca 100644
--- a/README.md
+++ b/README.md
@@ -3,7 +3,11 @@
 ## Requirements 
 
 - Python 3
-- Some version of Linux
+- virtualenv
+- GNU Make
+- curl
+- Some flavour of GNU/Linux
+- Internet connection
 
 ## Run
 
@@ -11,3 +15,9 @@ To get the fixture data for 2023, run
 `make 2023`
 
 Output is present in `2023/ipl-data-2023.json`
+
+> The fixture is hosted as a PDF at documents.bcci.tv. It will be automatically downloaded to `2023/ipl-data-2023.pdf' as part of program execution and is not explicitly distributed as part of this project.
+
+## Releases
+
+
diff --git a/parse.py b/parse.py
index 12b3f7f..f04ab99 100644
--- a/parse.py
+++ b/parse.py
@@ -1,6 +1,7 @@
 import tabula
 import json
 import sys
+import math
 
 class Match:
     day_n: int
@@ -33,15 +34,16 @@ def main():
             x.date = dataframe["Unnamed: 1"][i]
             x.time = dataframe["Unnamed: 2"][i]
             homeaway = dataframe["Unnamed: 3"][i]
-            home = ""
-            away = ""
-            for j in teams:
-                if homeaway.startswith(j):
-                    home = j
-                if homeaway.endswith(j):
-                    away = j
-            x.home = home
-            x.away = away
+            away = dataframe["Unnamed: 4"][i]
+            if away != away:
+                for j in teams:
+                    if homeaway.startswith(j):
+                        x.home = j
+                    if homeaway.endswith(j):
+                        x.away = j
+            else:
+                x.home = homeaway
+                x.away = away
             x.venue = dataframe["Unnamed: 5"][i]
             teams.append(x.home)
             matches.append(x)