Modifying README.

Author: drvinceknight

README.rst

@@ -1,67 +1,15 @@
-.. image:: https://badge.waffle.io/Axelrod-Python/Axelrod.svg?label=ready&title=Ready
-    :target: https://waffle.io/Axelrod-Python/Axelrod
-
-
-.. image:: https://coveralls.io/repos/Axelrod-Python/Axelrod/badge.svg
-    :target: https://coveralls.io/r/Axelrod-Python/Axelrod
-
-.. image:: https://img.shields.io/pypi/v/Axelrod.svg
-    :target: https://pypi.python.org/pypi/Axelrod
-
-.. image:: https://travis-ci.org/Axelrod-Python/Axelrod.svg?branch=packaging
-    :target: https://travis-ci.org/Axelrod-Python/Axelrod
-
 |Join the chat at https://gitter.im/Axelrod-Python/Axelrod|
 
-Results
-=======
-
-This repository contains Python code that reproduces the
-tournament. To run the tournament, you simply need to:
-
-::
-
-    $ python run_axelrod
-
-This automatically outputs a ``svg`` file with the results. You can see
-the results from the latest run of the tournament here:
-
-.. figure:: http://axelrod-python.github.io/tournament/assets/strategies_boxplot.svg
-   :alt:
-
-You can see the results from the latest run of the tournament here with
-the cheating strategies (which manipulate/read what the opponent does):
+This repository hold results for tournaments made possible by the
+`Axelrod-Project <https://github.com/Axelrod-Python/Axelrod>`_ python library.
 
-.. figure:: http://axelrod-python.github.io/tournament/assets/all_strategies_boxplot.svg
-   :alt:
+Reproducing these results:
+==========================
 
-Also the pairwise performance of each strategy versus all others:
+To reproduce these results you will need to install the :code:`axelrod`
+library::
 
-.. figure:: http://axelrod-python.github.io/tournament/assets/strategies_payoff.svg
-   :alt:
-
-Please do contribute :)
-
-Note that you can run ``python run_axelrod -h`` for further
-options available: for example, cheating strategies can be excluded for
-faster results by running:
-
-::
-
-    $ python run_axelrod --xc --xa
-
-You can also run the tournament in parallel (below will run 4 parallel
-processes):
-
-::
-
-    $ python run_axelrod -p 4
-
-You can run with all available CPUs with:
-
-::
-
-    $ python run_axelrod -p 0
+    $ pip install axelrod
 
 To re run the full set of results and output them to the `assets` directory
 simply run::
@@ -88,3 +36,6 @@ to the latest version of master::
 or::
 
     $ pip install path_to_axelrod  -U
+
+.. |Join the chat at https://gitter.im/Axelrod-Python/Axelrod| image:: https://badges.gitter.im/Join%20Chat.svg
+   :target: https://gitter.im/Axelrod-Python/Axelrod?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge