Cricket Statistics
This page will detail my proposed "Power" and "Effectiveness" statistics for Cricket batsmen.
Contents |
Power
ie "Scoring Strokes Strike Rate"
This is exactly as implied - the strike rate but only counting scoring strokes. So where a normal strike rate can be a value between 0 and 600 (600 being a 6 on every ball faced - unlikely to last long, but possible (I'm also discounting the rare possibility of a 7+ from a single ball), the 'power' strike rate is a value between 100 and 600.
Effectiveness
aka "Balls faced run conversion rate"
This is a value that measures how well the batter can convert balls faced into runs on the board - it's measured as a fraction from 0 (every ball faced is a dot ball) through to 1 (batter never concedes a dot ball)
Compared to traditional statistics
The traditional Strike Rate is simply "power*effectiveness", so I propose that these be given together as:
StrikeRate (power * effectiveness)
Where the strike rate gives an indication of how strong a batter is, it doesn't distinguish between a batter who makes occasional big hits, and a batter who makes regular small hits. (eg, hypothetical batter 'A' scores a single off every ball. Whilst 'B' scores a four every fourth ball. Both have a strike rate of 100, but A gets their 100 by 100*1, whilst B gets it by 400*0.25.
A more real world example... near the end of BBL|06, Brisbane Heat power hitters Brendon McCullum and Chris Lynn had very similar Strike Rates, but their power and effectiveness showed the differences between them
- Brendon McCullum
- 174.59 (287.84 * 0.607)
- Chris Lynn
- 177.59 (259.66 * 0.68)
Thus we see that although Lynn is reknown as THE big hitter, McCullum is actually a bigger hitter, but turns balls into runs less often.
My analysis of BBL|06 finds most players have an Effectiveness between 0.5 and 0.8, and power between 170 up to 300
(full analysis including graph is here: https://docs.google.com/spreadsheets/d/19xSGcEfJyDL8suXF08gP2XQLgbXj8yEMTa4lWs_LtoE/edit#gid=293175017 )
History
'Effectiveness' came about from trying to create a cricket equivalent to the Baseball "batting average" statistics, which measures how many times the batsman hits the ball compared to times at bat.
See also
