Limited Overs Individual Batting Performance Evaluator (
LOvI BatPor)
(to bangla speakers, figure out what that means !)
(applicable for 50-50 and T-20)
Acronyms Used : --
R -- Runs Scored by a batsman in an innings.
SR -- Strike Rate of the batsman's innings.
InSR -- Innings SR of the batsman's own team.
*
MSR -- Match SR, of both teams combined.
*
InAvg -- innings average of batsman's own team, calculated by dividing final score of his team minus extras /no of wkts fallen.
MAvg -- match average, average individual score of both teams combined.
* In case a team is all out and fails to complete it's full quota of overs, SR will be calculated assuming that full quota of overs has been played. For teams batting second completing the chase in less than full quota however, the exact no of overs batted will be considered.
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In the LOvI BatPor system, a batsman is awarded points on three criteria
A ) Hit and Run Score (HRS)
In a limited overs match, both runs scored AND SR are important but the level of importance changes according to the total number of overs.
Strike Rate is a more important metric in say, a T-20 match than a 50-50 one.
This criteria will try to incorporate both these factors in a quantitative way using weights.
Calculation Formula
Here,
is the weight used in order to assign importance to runs scored and the pace at which they are scored.
In my view, a proper value would be :
o
for 50-50
and
o
for T-20
the formula then becomes :
50-50
and
T-20
Comments :-- Mostly Self explanatory, the formula would perhaps become clearer with an example, I've calculated some but it takes time to post all that !
For the moment, members can tweak the weights to see if they see fit.
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B ) Quality of Opposition Team Score (QOTS)
Objective of this score will be to reward performance against good teams and thereby even out scores against weaker teams.
Determined on Two Counts, difference in strike rate(which can be seen as a measure of dominance over bowling) and difference in runs scored and average.
i) QOTS Strike Rate Difference
ii) QOTS Average Score Difference
Comments :-- These two parameters compare the performance of the batsman wrt other members of his team, in doing so it is assumed that against a good opposition there would be in general lesser no of good performances than against weaker teams.
Therefore, this parameter will
o reward him for performing better than his teammates, IOW performing against
quality opposition.
o neither reward nor punish him for performance at same level as his teammates
o
subtract points for performance worse than that of his teammates.
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C ) Ground Condition Score (GCS)
How to account for a seaming greentop where a batsman scores a gritty 75 while his team is all out for 200 and the opposition too bundles out for a similar low score ?
it is certainly not the same as a 75 where his team scores 200 in reply to oppositions 350 !
and it is much more valuable than a 125 on a flat wicket where his team scores 300 + !
the way to do it would be to compare his performance with scores from both teams
A very good team playing against a weak team can still skew up the performance of one team but using data from both teams, we can figure out if the weather and pitch had some role to play after all or not !!
Again, we calculate this score on two counts but this time, we use the match averages and SR :
i) GCS Strike Rate Difference
ii) GCS Average Score Difference
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That's it for the day ! feel free to pick holes and/or suggest improvements !
Coming Next : Score of some batsmen from the famous Aus vs RSA run chase, followed by Bowling Analysis System.
Edit : Not Out Bonus :-- A batsman staying not out is always advantageous to his team, the longer a batsman has stayed out and more the runs he has scored, the better it is for his team.
a NO batsman is awarded with 0.2 points for every run scored.