Baseball vs Cricket

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(efficiency and scoring strike rate)
(rename and improve examples for scoring efficiency and scoring power)
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* Earned Run Average - something similar to economy rate?
 
* Earned Run Average - something similar to economy rate?
   
=== Proposed statistic: "Strike Efficiency" ===
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=== Proposed statistics: "Scoring Efficiency and Scoring Power" ===
   
Strike Efficiency would be the baseball style batting average mentioned above. Count of scoring strokes, divided by total balls faced. It will be a value between 0 and 1.
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Scoring Efficiency is the count of scoring strokes divited by the total balls faced. Presented as a value between 0 and 1, it is the equivalent to the baseball style batting average mentioned above.
   
This fits into existing statistics well. Take the strike rate, and divide by efficiency, and you get a "scoring strike rate". That is, where normal strike rate measures against 100 balls faced, the scoring strike rate measures against 100 balls scored from.
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This fits into existing statistics well. Take the strike rate, and divide by efficiency, and you get the "Scoring Power". That is, where normal strike rate measures against 100 balls faced, the scoring power measures against 100 balls scored from. (a power of 100 means they always score singles. A power of 600 would mean always sixes)SE and SP provide the detail that is lacking in the traditional SR number. Consider two hypothetical players, both with a Strike Rate of 100.* Player one hits a single off every ball faced. * Player two hits a six once an over. Player one has power of 600, but efficiency of 0.16
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Player two has power of 100, but efficiency of 1.
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The values of power can vary from 100 to 600, whilst the values of efficiency are from 0 through to 1.
   
To use an example, Chris Gayle equalled the T20 fastest 50 (in 12 balls) on 2015 Jan 18. He got out after 17 balls, with a score of 56. He scored runs off 13 of those 17 balls.
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To use a real world example, Chris Gayle equalled the T20 fastest 50 (in 12 balls) on 2015 Jan 18. He got out after 17 balls, with a score of 56. He scored runs off 13 of those 17 balls.
   
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* Slog Rate: 56/13 as a percentage: 431 (or "4.3 runs per ball he scored from")
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* Strike efficiency: 13/17 = 0.764
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In this example Chris' traditional strike rate for the innings was 329 (56/17 as a percentage)
 
* Strike rate (SR): 56/17 as a percentage: 329
 
* Strike rate (SR): 56/17 as a percentage: 329
* Strike efficiency (SE): 13/17 = 0.764
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** Also calculatable as "slograte*efficiency": (56/13)*(13/17) where that mathematically reduces to 56/17 as per above)
** alternative name: scoring efficiency
 
* Scoring Strike Rate (SSR): SR/SE = 430 (ie, 56/13 as a percentage, or "4.3 runs per ball he scored from"
 
   
 
This matches observation - he scored 7x 6s, 2x 4s, no 3s, 2x 2s, 2x 1s = 13 scoring strokes for 56 runs.
 
This matches observation - he scored 7x 6s, 2x 4s, no 3s, 2x 2s, 2x 1s = 13 scoring strokes for 56 runs.

Revision as of 16:21, 17 November 2016

See BaseCricket for a discussion of baseball style batting average in the context of Cricket.


Cricket is a sport of statistics. So is baseball.

Modern baseball even has "Sabermetrics" - being the field of empirical analysis of the sport. https://en.wikipedia.org/wiki/Sabermetrics


https://en.wikipedia.org/wiki/Comparison_of_baseball_and_cricket

Comparing the two sports, then, requires finding either directly comparable numbers (eg, bowls per minute vs pitches per minute), or equivalents (can you create a cricket equivalent of a baseball Batting Average? Or a baseball equiv of a cricket Strike Rate or Economy Rate?

I'm coming to this from familiarity with Cricket, so I'm going to take some baseball statistics, and try to work out cricket equivalents.

There are numerous statistics, and the value of each is debatable, but there seems to be three for batters, and three for pitchers which have been exalted in the form of the "triple crown". https://en.wikipedia.org/wiki/Major_League_Baseball_Triple_Crown

  • Batting
  1. Batting Average - https://en.wikipedia.org/wiki/Batting_average#Major_League_Baseball
  2. Home runs - https://en.wikipedia.org/wiki/Home_run
  3. Runs batted In - https://en.wikipedia.org/wiki/Run_batted_in
  • Pitching
  1. Wins - https://en.wikipedia.org/wiki/Win%E2%80%93loss_record_%28pitching%29#Winning_pitcher
  2. Strikeouts - https://en.wikipedia.org/wiki/Strikeout
  3. Earned Run Average - https://en.wikipedia.org/wiki/Earned_run_average


I believe rough cricket equivalents would be as follows:

  • Batting Average - count of scoring strokes / total balls faced (ie, opportunities to get out)
  • Home runs - sixes (because "over the fence")
  • Runs batted in - no equivalent (because a batsman's efforts never count to someone else's runs)
  • Wins - no equivalent (because cricket has a range of bowlers, rather than one pitcher central to the 'attack')
  • Strikeouts - no equivalent I think?
  • Earned Run Average - something similar to economy rate?

Proposed statistics: "Scoring Efficiency and Scoring Power"

Scoring Efficiency is the count of scoring strokes divited by the total balls faced. Presented as a value between 0 and 1, it is the equivalent to the baseball style batting average mentioned above.

This fits into existing statistics well. Take the strike rate, and divide by efficiency, and you get the "Scoring Power". That is, where normal strike rate measures against 100 balls faced, the scoring power measures against 100 balls scored from. (a power of 100 means they always score singles. A power of 600 would mean always sixes)SE and SP provide the detail that is lacking in the traditional SR number. Consider two hypothetical players, both with a Strike Rate of 100.* Player one hits a single off every ball faced. * Player two hits a six once an over. Player one has power of 600, but efficiency of 0.16 Player two has power of 100, but efficiency of 1. The values of power can vary from 100 to 600, whilst the values of efficiency are from 0 through to 1.

To use a real world example, Chris Gayle equalled the T20 fastest 50 (in 12 balls) on 2015 Jan 18. He got out after 17 balls, with a score of 56. He scored runs off 13 of those 17 balls.

  • Slog Rate: 56/13 as a percentage: 431 (or "4.3 runs per ball he scored from")
  • Strike efficiency: 13/17 = 0.764

In this example Chris' traditional strike rate for the innings was 329 (56/17 as a percentage)

  • Strike rate (SR): 56/17 as a percentage: 329
    • Also calculatable as "slograte*efficiency": (56/13)*(13/17) where that mathematically reduces to 56/17 as per above)

This matches observation - he scored 7x 6s, 2x 4s, no 3s, 2x 2s, 2x 1s = 13 scoring strokes for 56 runs.

Misc

397 feet (121metres) is average home run distance - I am certain that the average 6 is shorter than that (90-110 metres for a guess) - but I'd also suspect that baseball batting action is more inherently powerful than the normal cricket batting action - combined with a (usually?) faster ball too, it is not surprising.

MLB vs BBL

I'm planning a bit of an in-depth "objective" statistical comparison of Major League Baseball (US Baseball) to the Big Bash League (AU T20 Cricket). See MLB vs BBL

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