Page 51 - Contributed Paper Session (CPS) - Volume 3
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CPS1943 Nandish C. et al.
            positions  with  respect  to  number  of  run  scored.  In  order  to  avoid  such
            difficulties, we have used a filter for the minimum number of balls faced by a
            batsman (a minimum of 10 balls faced at least), and ensured coherence of the
            values of the strike rate (e.g., avoiding scenarios where a batsman faced just a
            single ball and scored a four, but making very little contribution to the team
            in terms of runs) among the batsmen. In this case, the strike rate provides
            combined information about the runs scored by the batsman and the number
            of  balls  used  to  score  the  same.  We  carried  out  the  analysis  for  batsmen
            considering strike rate and the number of innings. The estimated value of the
            weights w1 and w2 are 0.746 and 0.254, respectively. The observed scores of
            the batsmen and the corresponding ranks are provided in Table 2.


                                    Table 2: Ranking of batsmen
                Rank   Player   Score   Rank   Player   Score   Rank   Player   Score
                 1    SK Raina   0.981   13   Yuvraj Singh  0.464   25   RR Pant   0.121
                 2     V Kohli   0.918   14   DJ Hooda   0.462   26   AJ Finch   0.120
                 3    MS Dhoni   0.872   15   S Dhawan   0.466   27   BB McCullum   0.118
                 4    RG Sharma   0.786   16   RV Uthappa   0.377   28   KD Karthik   0.117
                 5    G Gambhir   0.718   17   MK Pandey   0.337   29   Q de Kock   0.117
                 6    DA Warner   0.685   18   WP Saha   0.315   30    KK Nair   0.105
                 7    SR Watson   0.588   19   MC Henriques  0.221   31   RA Jadeja   0.104
                 8   AB de Villiers  0.558   20   AM Rahane   0.212   32   DR Smith   0.089
                 9    CH Gayle   0.551   21   SV Samson   0.207   33   KL Rahul   0.041
                10    YK Pathan   0.538   22   JC Buttler   0.167   34   HM Amla   0.038
                11    DA Miller   0.487   23   M Tiwary   0.158   35   KS Williamson  0.012
                12     M Vijay   0.483   24   NV Ojha   0.154

                Next,  we  have analysed  the  match-wise  data available  for  the bowlers.
            Similar to the case of batsmen, we have only considered the number of innings
            in  which  the  bowler  bowled,  as  the  experience  variable.  Among  the
            performance  attributes,  economy  (runs  conceded  per  over)  indicates
            miserliness of a bowler. The performance of the bowlers is also monitored
            using  average  (runs  conceded/number  of  wickets  taken)  and  strike  rate
            (number  of  balls  bowled/number  of  wickets  taken).  Interestingly,  both  the
            metrics  carry  important  information  on  the  number  of  wickets  taken  by  a
            bowler  and  rest  of  the  information  are  redundant  as  those  are  already
            incorporated  in  economy  rate.  Therefore,  we  derived  a  new  performance
            metric wickets-economy ratio (WER), defined as the ratio of the number of
            wickets picked up by the bowler in a particular match to the corresponding
            economy rate. The WER is directly proportional to the utility of a bowler, and
            a higher WER indicates that the bowler takes large number of wickets with low
            economy rate. We set a filter for the bowlers as well, and considered only those
            innings where they bowled at least two or more overs out of their stipulated
            quota of four overs. Based on our analysis considering WER and the number
            of innings, the estimated weights w1 and w2 are 0.791 and 0.209, respectively.


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