I was playing around with cricket data for some time now, and there are some interesting observations

1) Average Runs scored per match YOY

2) Average Runs scored when tier2 teams won the toss and elected to bat

3) Average Runs scored when tier2 ( Kenya, Zimbabwe) teams won the toss and elected to bowl

The above stats would state that maybe 2014 was a good year for cricket, but we have forgotten one important measure. The number of matches. More the number of matches, more the normalization ( averaging out )

In the following graphs, I plotted the average runs and the number of matches YOY for all the 3 forms of cricket

1) ODI

2) T20

3) TEST

We see that for the year 2014 there is a surge in the number of runs scored in all 3 versions of the game. However, the data has fewer matches so statistically we cannot say for sure that 2014 has been a very good year.

However, I always thought that through the years, the number of runs scored have always been increasing, but that is not what we observer, especially between 2009 and 2013. Let us dig deeper

We see that in the year 2014, there were a lot of matches > 30 with the total being above 500. This drove the average up. From the graph we can make some more observations.

Now, we will be applying similar stats on the following factors

1) Wickets fallen in a match

2) Runs scored till fall of first wicket

3) % of highest wicket partnership vs total runs

Will come up with the details

1) Average Runs scored per match YOY

2) Average Runs scored when tier2 teams won the toss and elected to bat

3) Average Runs scored when tier2 ( Kenya, Zimbabwe) teams won the toss and elected to bowl

The above stats would state that maybe 2014 was a good year for cricket, but we have forgotten one important measure. The number of matches. More the number of matches, more the normalization ( averaging out )

In the following graphs, I plotted the average runs and the number of matches YOY for all the 3 forms of cricket

1) ODI

2) T20

3) TEST

We see that for the year 2014 there is a surge in the number of runs scored in all 3 versions of the game. However, the data has fewer matches so statistically we cannot say for sure that 2014 has been a very good year.

However, I always thought that through the years, the number of runs scored have always been increasing, but that is not what we observer, especially between 2009 and 2013. Let us dig deeper

We see that in the year 2014, there were a lot of matches > 30 with the total being above 500. This drove the average up. From the graph we can make some more observations.

Now, we will be applying similar stats on the following factors

1) Wickets fallen in a match

2) Runs scored till fall of first wicket

3) % of highest wicket partnership vs total runs

Will come up with the details

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