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May 11, 2020
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Fixes minor typos and grammar ref pull request 174 #226

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28 changes: 14 additions & 14 deletions content/en/case-studies/cricket-analytics.md
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Expand Up @@ -67,7 +67,7 @@ metrics for improving match winning chances:

* Sports data analytics are used not only in cricket but many [other
sports](https://adtmag.com/blogs/dev-watch/2017/07/sports-analytics.aspx) for
improving the overall team performance and maximize winning chances.
improving the overall team performance and maximizing winning chances.
* Real-time data analytics can help in gaining insights even during the game
for changing tactics by the team and by associated businesses for economic
benefits and growth.
Expand Down Expand Up @@ -123,8 +123,8 @@ metrics for improving match winning chances:

Sports Analytics is a thriving field. Many researchers and companies
[use NumPy](https://adtmag.com/blogs/dev-watch/2017/07/sports-analytics.aspx)
and other PyData packages like Scikit-learn, SciPy, Matplotlib, and Jupyter.
in addition to latest machine learning and AI techniques. NumPy has been used
and other PyData packages like Scikit-learn, SciPy, Matplotlib, and Jupyter,
besides using the latest machine learning and AI techniques. NumPy has been used
for various kinds of cricket related sporting analytics such as:

* **Statistical Analysis:** NumPy's numerical capabilities help estimate the
Expand All @@ -140,17 +140,17 @@ for various kinds of cricket related sporting analytics such as:

## Summary

Sports Analytics have changed the way professional games are played, especially
regarding decision making which was until recently primarily done based on
“gut feeling" or adherence to past traditions. NumPy forms a
solid foundation for a large set of Python packages which provide higher level
functions related to data analytics, machine learning and AI algorithms. These
packages are widely deployed to gain real-time insights that help in decision
making for game-changing outcomes, both on field as well as to draw inferences
and drive business around the game of cricket. Finding out the hidden
parameters, patterns and attributes that lead to the outcome of a cricket match
helps the stakeholders to take notice of game insights that are otherwise hidden
in numbers and statistics.
Sports Analytics is a game changer when it comes to how professional games are
played, especially how strategic decision making happens, which until recently
was primarily done based on “gut feeling" or adherence to past traditions. NumPy
forms a solid foundation for a large set of Python packages which provide higher
level functions related to data analytics, machine learning and AI algorithms.
These packages are widely deployed to gain real-time insights that help in
decision making for game-changing outcomes, both on field as well as to draw
inferences and drive business around the game of cricket. Finding out the
hidden parameters, patterns and attributes that lead to the outcome of a
cricket match helps the stakeholders to take notice of game insights that are
otherwise hidden in numbers and statistics.

{{< figure src="/images/content_images/cs/numpy_ca_benefits.png"
class="fig-center"
Expand Down