sayon basak
State Captain
Wanted to do this in a while.
Straight to the formula:-
{(Player's Batting average÷Team's batting average without the player+Team's Bowling average without the player÷Player's Bowling average)(player's RPM÷Team's RPM without the player+Player's WPM÷Team's WPM without the player)+(no. of 50's per Inn. +3×no. of 100's per inn.-no. of 0's per inn.+ No. Of 5'fers per inn.+ 5×no. Of 10'fers per match)+ 5×(player's Batting average÷Team's batting average without the player×Player's RPM÷Team's RPM without the player + no. Of 50's per Inn. +3×no. Of 100's per inn. -no. Of 0's per inn.)^(1/2)*(Team's Bowling average without the player ÷ player's bowling average × player's WPM÷Team's WPM without the player+ no. Of 5'fers per inn.+5× no. Of 10'fers per match)^(1/2)+(1/10)(batting average - bowling average)+(ICC Rating average)^2/(7.5×10⁴)}×100
The list (numbers are rounded up or down to the nearest whole number):-
Garfield Sobers= 836
Imran Khan= 793
Jacques Kallis= 751
Ian Botham=735
Aubrey Faulkner= 714
Shakib Al Hasan= 702
Richard Hadlee= 685
Keith Miller= 683
Tony Greig= 639
Ravindra Jadeja= 594
Ravichandran Ashwin= 578
Wally Hammond= 564
Chris Cairns= 533
Shaun Pollock= 518
Trevor Goddard= 514
Jack Gregory= 497
Vinoo Mankad= 495
Kapil Dev= 470
Monty Noble= 467
Mushtaq Mohammad= 430
Ted Dexter= 407
Eddie Barlow= 380
Ben Stokes= 358
Jason Holder= 333
Andrew Flintoff= 301
Warwick Armstrong= 297
Bob Simpson= 286
Downsides of the methodology:-
1) Doesn't consider their performance in or against strong or weak opponent differently.
2) Doesn't take their peak or longevity into account.
3) Doesn't treat their home vs away performance differently.
Thoughts? Any notable ommissions?
Straight to the formula:-
{(Player's Batting average÷Team's batting average without the player+Team's Bowling average without the player÷Player's Bowling average)(player's RPM÷Team's RPM without the player+Player's WPM÷Team's WPM without the player)+(no. of 50's per Inn. +3×no. of 100's per inn.-no. of 0's per inn.+ No. Of 5'fers per inn.+ 5×no. Of 10'fers per match)+ 5×(player's Batting average÷Team's batting average without the player×Player's RPM÷Team's RPM without the player + no. Of 50's per Inn. +3×no. Of 100's per inn. -no. Of 0's per inn.)^(1/2)*(Team's Bowling average without the player ÷ player's bowling average × player's WPM÷Team's WPM without the player+ no. Of 5'fers per inn.+5× no. Of 10'fers per match)^(1/2)+(1/10)(batting average - bowling average)+(ICC Rating average)^2/(7.5×10⁴)}×100
The list (numbers are rounded up or down to the nearest whole number):-
Garfield Sobers= 836
Imran Khan= 793
Jacques Kallis= 751
Ian Botham=735
Aubrey Faulkner= 714
Shakib Al Hasan= 702
Richard Hadlee= 685
Keith Miller= 683
Tony Greig= 639
Ravindra Jadeja= 594
Ravichandran Ashwin= 578
Wally Hammond= 564
Chris Cairns= 533
Shaun Pollock= 518
Trevor Goddard= 514
Jack Gregory= 497
Vinoo Mankad= 495
Kapil Dev= 470
Monty Noble= 467
Mushtaq Mohammad= 430
Ted Dexter= 407
Eddie Barlow= 380
Ben Stokes= 358
Jason Holder= 333
Andrew Flintoff= 301
Warwick Armstrong= 297
Bob Simpson= 286
Downsides of the methodology:-
1) Doesn't consider their performance in or against strong or weak opponent differently.
2) Doesn't take their peak or longevity into account.
3) Doesn't treat their home vs away performance differently.
Thoughts? Any notable ommissions?