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December 28, 2013

A look at the best ODI performances and careers with a fresh metric - the HSI

HSI - A new and exciting measure for ODIs

Anantha Narayanan
Viv Richards has the highest career HSI of 0.311 among batsmen with a minimum of 3000 ODI runs.  © Getty Images
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The Tendulkar brace (article 1 and article 2) was a tough pair for me. Not only did I have to put in a lot of effort, but had to face a barrage of (often unjustified) criticism from fans of the great cricketer, who did not want to see any analyses that did not sing unrestrained praise. However, one good metric came out through these two articles as a very valuable one for measuring player contributions. I had presented a raw version of the HSI (High Score Index). This metric found support from many readers and I had promised that I would develop HSI as an independent measure after incorporating tweaks from many readers. This is the first attempt at that. In this article I have covered the ODI game: an easier one to start with because of the single-innings format.

The tweaks suggested can be summarised as below.

- Extend the concept to all innings, not just the top two scores.
- Incorporate the team score into the computations.
- Avoid the very high range of numbers in the early version: the HSI for an innings went as high as 11.4.
- Look at how the players have performed in various classifications, with HSI as the key measure.
- Look at the possibility of using a GM (geometric mean) rather than AM (arithmetic mean) because of the significant variations.

I have given below a few typical cases to bring out the nature of the problems.

Score Hs1 Hs2  Expectations

200 100 30 Hs1 high, Hs2 low. 200 100 50 Hs1 above-avge, Hs2 avge. 200 100 90 Hs1 medium. Hs2 medium. 200 50 50 Hs1 avge. Hs2 avge. 300 100 50 Hs1 above-avge. Hs2 low. 300 100 90 Hs1 medium. Hs2 medium. 300 50 40 Hs1 low. Hs2 low.

A 100 as the top score does not provide enough information by itself. It could be out of a team score of 200 or 300. It could be supported by an innings close to 100, by a 50 or by a 25. It could be part of 200 for 1 or 200 all out. Most of the alternatives have been given above and the expectations have been given on the right. Everything is self-explanatory. I have explained the final methodology below.

The HSI is a measure of two components for the innings top score. The batsman stands alone at the top and his contribution gets enhanced depending on the support received. On the other hand the second-placed scorer has had the support of a higher-scoring batsman. So it is sufficient to take his and other lower scoring batsmen's contributions based on the team score. With this background let me show the working.

Top batsman HSI = Hs1/Team score x HSI/Hs2. This incorporates both components.
Other batsmen HSI = Batsman score/Team score.

I worked out that there is no need to multiply the lower scores by Score/Hs1. That would lower the values too much. An Hs1 of 100 and Hs2 of 90 (out of 200) would end up with Hs1 well over 25% higher than Hs2, which is incorrect.

Now let us see all the values and check whether the expectations are met.

Case 1: 200-100-30. Work: 100/200=0.5, 100/30=3.33
        HSI for Hs1: 0.5*3.33=1.667
        HSI for Hs2: 30/200=0.15
Case 2: 200-100-50. Work: 100/200=0.5, 100/50=2.0
        HSI for Hs1: 0.5*2.0=1.0
        HSI for Hs2: 50/200=0.25
Case 3: 200-100-90. Work: 100/200=0.5, 100/90=1.11
        HSI for Hs1: 0.5*1.11=0.55
        HSI for Hs2: 90/200=0.45
Case 4: 200-50-50.  Work:  50/200=0.25, 50/50=1.0
        HSI for Hs1: 0.25*1.0=0.25
        HSI for Hs2: 50/200=0.25
Case 5: 300-100-50. Work: 100/300=0.333, 100/50=2.0
        HSI for Hs1: 0.333*2.00=0.667
        HSI for Hs2: 50/300=0.1667
Case 6: 300-100-90. Work: 100/300=0.333, 100/90=1.11
        HSI for Hs1: 0.333*1.11=0.367
        HSI for Hs2: 90/300=0.300
Case 7: 300-50-40.  Work:  50/300=0.167, 50/40=1.25
        HSI for Hs1: 0.167*1.25=0.208
        HSI for Hs2: 40/300=0.1667

I have checked each HSI value and confirmed that it meets the expectations. Hence I will not go any further in depth. Readers can verify these numbers themselves. I also do a minor tweak for result matches where lower than 100 runs were chased down. Of course any unfinished innings below 100, in a no result match, is not considered.

Now that the HSI for every innings has been determined, let us move into the many tables I have created. The first is the basic table of the HSI value itself. I have shown the top 25 HSI values. There is a downloadable Excel file that contains the 24,000 innings which have HSI values greater than or equal to 0.1. Please download and peruse it before asking about specific innings or player.

Readers should remember that these calculations are scorecard-based, non-contextual and within a team. MS Dhoni's 65 out of 188, with Hs2 being 31, fetches an HSI of 0.724. Quinton de Kock's 135 out of 351, with Hs2 being 77, gets an HSI of 0.674. It does not mean that Dhoni's innings was better or match-winning. It only means that Dhoni contributed more to his team's cause. The result is immaterial. The key word is "contribution". All comparisons, within a match, should only be within a specific team innings. What is important is that Dhoni gets 0.724 and Kohli, 0.164. de Kock gets 0.674 and AB de Villiers, 0.218. Please make sure that this point is clearly understood.

An unambiguous note on the cut-off. I have selected 3000 ODI runs as the cut-off for the main table. There are 127 batsmen that qualify. Only one of these batsmen, Wasim Akram, has an average below 20.0 and I have decided not to exclude him. This cut-off has been determined on the assumption that a very good batsman would need around 100 matches to cross 3000 runs. In fact only 60 batsmen have reached this landmark in 100 matches. David Gower, Mahela Jayawardene, Kumar Sangakkara, Stephen Fleming, Richie Richardson et al needed more. Once this stiff cut-off is set, all players are considered equal. Afterwards I am not going to say one batsman played in only so many matches and another played in many more matches and so on. The players have met the criterion set and that is it.

For the other 12 tables, there are varying cut-off points. In general, 50 innings has been used as the minimum for qualification. However, readers should note that to qualify for the later tables only the appropriate cut-off is needed. In other words, Sunil Gavaskar would qualify for the "BatPos 1-2-3" table even though he has scored only 2651 career runs. Brad Haddin would qualify for the "Wins" table even though he has scored only 2692 career runs. Clive Lloyd would qualify for "BatPos 4-5-6-7" table even though he has scored only 1977 career runs. And so on.

After getting the HSI values I evaluated on the need to do an alternate mean-evaluation. I decided that it is not necessary to use GM and used AM itself since the distribution pattern revealed a few important facts. The top entry is at 9.9, the next one at 6.7, the third one at 5.2, the fourth one at 5.02 and the fifth one is at 4.2. See how steeply the values drop: less that 50% value for the fifth entry. So there is really a single outlier: Brendon McCullum's innings, which is from the Twilight Zone. I did not want to be influenced by this single performance. Andrew Jones could also be considered as an outlier. After this, normalcy returns. Also the values, 5.24 to 0.0, are already in some form of logarithmic representation, representing 400 to 1.

A few important facts on HSI.

1. The highest HSI value is 9.983 for McCullum's 80 out of 87(+8) for 0, with the next highest score being How's 7.
2. Two great 100s: Viv Richards' 189* and Kapil Dev's 175* are in third and fourth position in the HSI table. The key numbers for Richards are 189 out of 262, followed by 26. For Kapil, 175 out of 254, followed by 24. Two almost identical innings. And Shane Watson's 185 is placed sixth. Great credentials for this table indeed.
3. The lowest HSI value for an Hs1 innings is in match #257. New Zealand scored 116. Richard Hadlee and Derek Stirling were joint top scorers with 13 runs each. Their HSI value was a mere 0.126.
4. The highest HSI value for an Hs2 innings is for Jesse Ryder. In match #2677, New Zealand were chasing 158 and finished at 165 for 0. Ryder scored 79 and McCullum, 80. Ryder's HSI was 0.496 and McCullum's, 0.509.
5. The lowest HSI value for an Hs2 innings is for Martin Crowe's 5 runs in match #629. Crowe's HSI value is 0.075.
6. The highest HSI value for a non-Hs1-Hs2 innings was for Herschelle Gibbs in match 1760. This was a funny innings. South Africa was chasing 229 and scored 230 for 1. Lance Klusener top-scored with 75 (HSI 0.347), Boeta Dippenaar followed with 74 (0.337) and Gibbs' scored 70. His HSI was 0.319.
7. 969 HSI values are 1.0 and above. This represents 1.6% of the total.
8. 3329 HSI values are 0.5 and above. This represents 5.6% of the total.
9. 35548 HSI values are below 0.10. This represents 59.6% of the total.
10.The average Hs1 for 6736 team innings is 71.3. The average Hs2 for these innings is 46.3. The ratio is 1.57. However, the average of ratios taken at innings level is 1.65 which is the more relevant figure.
11.The average HSI value for the 59655 innings is 0.144. This average will also let us take a stand on career averages of HSI. Maybe 0.22 would an excellent career average.

Now for the multiple HSI tables based on various selection criteria. This was one of the main objectives of this exercise. For most tables I have shown the top 30/25 players. Needless to say (or more appropriately, needs to be said) that the complete set of entries is available in the downloadable file with 13 tables. Please make an attempt to answer your question by downloading that file before asking me. Since this is one of the longest articles I have ever penned, I will only provide minimal comments.

1. Innings with high HSI values: Top 30 innings
HSIMatch IdInnsBatPosTeam ScoreBatsmanScoreHs2
9.9832660 2 2 95 for 0 BB McCullum 80 7
6.693 629 1 3 74 for 10 AH Jones 47 5
5.243 264 1 4 272 for 9 IVA Richards189 26
5.023 216 1 6 266 for 8 N Kapil Dev175 24
4.2722828 2 1 117 for 2 CH Gayle 80 14
4.0213150 2 1 232 for 1 SR Watson185 37
3.5843407 2 1 70 for 1 SJ Myburgh 52 8
3.4482873 1 3 312 for 8 CK Coventry194 37
3.4233042 1 1 325 for 8 PR Stirling177 30
3.4131963 1 2 202 for 10 JM Davison111 19
3.4001709 2 4 131 for 3 Inzamam-ul-Haq 85 17
3.3601571 1 2 191 for 10 DR Martyn116 22
3.3282985 1 1 118 for 10 H Masakadza 62 11
3.261 636 1 1 196 for 8 Saeed Anwar101 17
3.249 15 2 3 84 for 2 Zaheer Abbas 57 12
3.205 6 2 2 159 for 3 DL Amiss100 20
3.1161933 2 2 200 for 9 V Sehwag112 23
3.0631209 1 1 327 for 5 Saeed Anwar194 39
3.0341528 1 5 213 for 10 RP Arnold103 19
3.0212859 2 2 187 for 10 Rizwan Cheema 94 17
3.0152514 1 2 102 for 3 ST Jayasuriya 63 14
3.002 831 1 3 277 for 5 RA Smith167 36
2.9712290 2 3 303 for 4 MS Dhoni183 39
2.960 168 1 3 267 for 6 DI Gower158 34
2.9581944 2 4 225 for 10 SB Styris141 32
2.895 747 2 2 167 for 3 Rameez Raja119 30
2.8662964 1 1 228 for 10 Tamim Iqbal125 25
2.8251582 2 2 101 for 10 HH Gibbs 59 14
2.814 620 2 3 164 for 2 DM Jones102 24
2.800 544 1 4 140 for 9 Javed Miandad 63 13

It is safe to say that McCullum's innings is a true outlier. Chasing 95, scoring 80 (in 28 balls) out of 95, reaching the target in about six overs, allowing Jamie How to score 7: well, it does happen, but once every 40 years. Only the 100-run tweak kept this to below 10.0. Jones' innings was a more acceptable instance of domination. He scored 47 out of 74 with Crowe's 5 being the next highest score. Not as much of an outlier as McCullum's, but out of the ordinary.

Now we get to two all-time classics: in my opinion, seconded by many, the two greatest ODI innings ever played. No comparisons can ever be made of the higher scores on flat-belters with these classics in bowler-friendly conditions. I place the 189* higher only because of the quality of England bowling attack: Bob Willis, Ian Botham, Neil Foster and Derek Pringle. Richards came in at 5 for 1, saw the score slump to 102 for 7, scored 189 out of 272. The next highest score was Eldine Baptiste's 26, and Richards added 106 for the last wicket with Michael Holding, who scored 12. This was not in front of a super-charged crowd nor was it a television spectacle. It was total domination by an undisputed colossus. If there is an innings better than this, I am waiting to hear of the same, and will probably wait forever. This carries an HSI value of 5.243. I think HSI values of 5.0 are for once-in-a-lifetime performances.

Kapil's 175* (HSI 5.023) stands second only because there is a slightly better 5.xx innings ahead. Kapil came in at 9 for 4, saw the score at 17 for 5, scored 175 out of 266, including an unbroken stand of 126 with Syed Kirmani, who had the next best score of 24, Kapil played the innings of his life and those of million other lives. The similarities between the two innings are startling. That these two innings are third and fourth confirms to me the validity of HSI. If either of these innings had gone out of the top five, I might have had frowns on my forehead.

This table of 30 hosts a number of all-time classics: Richards' 189, Kapil's 175, Watson's explosive 185 (out of 232), the lesser-known masterpieces of Charles Coventry and Paul Stirling, Saeed Anwar's 194, David Gower's majestic 158, Scott Styris' all-time-classic 141 and so on. Barring minor personal preferences this is a table of many ODI classics.

2. All matches - Minimum 3000 runs
BatsmanCareerRunsBatAvgeQualifying InnsWinsHSI-TotalHSIHSI gt 1.0%HSI gt 0.25%
IVA Richards 672147.00167114 51.9 0.311 10 6.0% 6136.5%
CG Greenidge 513445.04126 89 38.1 0.302 8 6.3% 4737.3%
HM Amla 404153.88 80 52 23.8 0.297 3 3.8% 2936.2%
SR Tendulkar1842644.83446231 130.7 0.293 32 7.2%14632.7%
DL Haynes 864841.38236159 68.5 0.290 17 7.2% 8134.3%
V Kohli 515451.54118 73 33.6 0.285 6 5.1% 4235.6%
CH Gayle 874337.52246103 69.0 0.281 16 6.5% 6325.6%
MD Crowe 470438.56140 60 38.1 0.272 5 3.6% 4935.0%
DM Jones 606844.62161 96 43.2 0.269 5 3.1% 4729.2%
BC Lara1040540.49289134 77.5 0.268 17 5.9% 9131.5%
Javed Miandad 738141.70216107 57.9 0.268 10 4.6% 6931.9%
Saeed Anwar 882439.22241139 64.3 0.267 12 5.0% 6928.6%
GR Marsh 435739.97115 74 30.5 0.266 5 4.3% 3127.0%
NV Knight 363740.41 99 45 26.2 0.265 3 3.0% 2929.3%
GA Gooch 429036.98120 64 31.7 0.264 8 6.7% 3630.0%
ME Trescothick 433537.37118 53 30.8 0.261 7 5.9% 3328.0%
NJ Astle 709034.93215 92 54.0 0.251 13 6.0% 6027.9%
AJ Lamb 401039.31118 62 29.3 0.248 6 5.1% 3832.2%
NS Sidhu 441337.08126 66 31.1 0.247 6 4.8% 3830.2%
Tamim Iqbal 370230.10124 45 30.5 0.246 6 4.8% 3326.6%
ML Hayden 613343.81153114 37.7 0.246 5 3.3% 4529.4%
S Chanderpaul 877841.60250 99 61.3 0.245 9 3.6% 6927.6%
G Kirsten 679840.95183120 44.5 0.243 8 4.4% 5630.6%
SO Tikolo 342028.98129 37 31.3 0.243 5 3.9% 3426.4%
JH Kallis1157444.86307196 74.0 0.241 14 4.6% 9932.2%
SC Ganguly1136341.02299147 72.0 0.241 13 4.3% 8428.1%
KC Sangakkara1194840.23332175 78.6 0.237 14 4.2% 9628.9%
HH Gibbs 809436.13237148 55.5 0.234 9 3.8% 5924.9%
BRM Taylor 441433.69144 33 33.6 0.233 7 4.9% 3524.3%
GA Hick 384637.34118 57 27.4 0.232 3 2.5% 3731.4%

This is the most important table since it measures the HSI across the career. It can be seen that the numbers are at a different magnitude from the article on Sachin Tendulkar's ODI career, since I now measure all innings and have incorporated the team scores. Richards is comfortably ahead with a career HSI average of 0.311. This is confirmed by an average of 47+ and a win percentage around 70. Gordon Greenidge follows with 0.302, the only other batsman with an HSI value exceeding 0.3. Hashim Amla follows next close behind with 0.297. Even if Amla maintains 80% of his 80-match form in the next 80 matches, he may be in a similar position. Now comes Tendulkar: 446 innings, just over 50% wins, an average of 44.83 and an HSI of 0.293. Numbers depicting a magnificent career, embellished by the huge number of matches played and spread over 23 years. This top quintet is rounded off by Desmond Haynes. Look at the top 11 players in this table. The other six are Virat Kohli, Chris Gayle, Crowe, Dean Jones, Brian Lara and Javed Miandad. These, plus Ricky Ponting, are arguably the best 12 ODI batsmen ever, the Dazzling Dozen. Thus the importance of this measure is established once and for all. The relative positioning is immaterial.

3. Batting Positions 1-3 - Minimum 50 innings
BatsmanQualifying InnsWinsRunsRuns per InnsHSI-TotalHSI
IVA Richards 51 41 2418 47.41 18.2 0.356
BC Lara158 81 6613 41.85 52.1 0.330
SR Tendulkar34417815340 44.59 112.1 0.326
CG Greenidge119 85 4985 41.89 37.4 0.314
S Chanderpaul104 47 4228 40.65 32.6 0.314
V Kohli 84 53 3656 43.52 25.5 0.304
HM Amla 80 52 4038 50.48 23.8 0.297
CH Gayle228 98 8402 36.85 67.7 0.297
RA Smith 53 23 2027 38.25 15.6 0.294
GA Gooch 98 52 3821 38.99 28.6 0.292
AH Jones 76 35 2382 31.34 22.1 0.291
DL Haynes236159 8644 36.63 68.5 0.290
BB McCullum 95 47 2923 30.77 27.4 0.289
DM Jones133 80 5192 39.04 37.9 0.285
BRM Taylor 75 16 2345 31.27 21.2 0.282
WJ Cronje 52 27 1905 36.63 14.4 0.276
Saeed Anwar229135 8562 37.39 62.0 0.271
GR Marsh115 74 4357 37.89 30.5 0.266
KC Sangakkara213111 8297 38.95 56.4 0.265
NV Knight 99 45 3620 36.57 26.2 0.265
IJL Trott 62 34 2751 44.37 16.4 0.265
ME Trescothick118 53 4297 36.42 30.8 0.261
NS Sidhu117 63 4266 36.46 30.4 0.260
ME Waugh175111 6926 39.58 45.4 0.259
NJ Astle206 91 6929 33.64 53.3 0.259
SR Watson111 73 4500 40.54 28.4 0.256
SC Ganguly26713610611 39.74 68.2 0.255
JH Kallis200128 7870 39.35 50.6 0.253
GA Hick 61 30 2230 36.56 15.3 0.252
AN Cook 70 37 2667 38.10 17.5 0.250

Richards batted at the No. 3 spot just enough to qualify: 51 innings, an amazing 80+% wins, an RpI value of 47+ and an HSI value of 0.356. Lara is next having spent well over 50% of his career in these pivotal positions. Tendulkar follows just behind, but with a lot more matches. Then Greenidge and, surprisingly, Shivnarine Chanderpaul. Four of the top five players are West Indians of two different generations. In the next two positions are the two current giants.

4. Batting Positions 4-7 - Minimum 50 innings
BatsmanQualifying InnsWinsRunsRuns per InnsHSI-TotalHSI
MD Crowe 60 32 2118 35.30 18.7 0.311
IVA Richards115 73 4298 37.37 33.7 0.293
Javed Miandad194 91 6560 33.81 52.4 0.270
SO Tikolo 91 27 2437 26.78 23.7 0.261
LRPL Taylor 85 33 3147 37.02 20.8 0.244
PA de Silva240103 7947 33.11 58.7 0.244
AB de Villiers105 67 4635 44.14 25.0 0.238
KP Pietersen 83 31 3162 38.10 19.3 0.232
Shakib Al Hasan124 51 3688 29.74 28.5 0.229
RG Twose 72 28 2496 34.67 15.9 0.221
JH Kallis106 68 3669 34.61 23.4 0.221
GP Thorpe 75 36 2332 31.09 16.3 0.217
MG Bevan191118 6775 35.47 40.4 0.211
RR Sarwan 82 39 3096 37.76 17.3 0.211
A Flower137 41 4527 33.04 28.9 0.211
GA Hick 57 27 1616 28.35 12.0 0.211
AJ Lamb106 56 3388 31.96 22.2 0.209
Inzamam-ul-Haq275149 9187 33.41 57.5 0.209
A Ranatunga247 98 7302 29.56 51.5 0.209
SB Styris139 72 4156 29.90 28.7 0.206
Misbah-ul-Haq123 71 4234 34.42 24.9 0.203
A Flintoff111 50 3229 29.09 22.1 0.199
S Chanderpaul145 52 4539 31.30 28.7 0.198
Mohammad Yousuf228122 7678 33.68 43.9 0.193
BC Lara130 53 3752 28.86 25.0 0.192
DB Vengsarkar 78 36 2302 29.51 14.9 0.191
M Azharuddin239106 7295 30.52 45.7 0.191
KC Sangakkara117 64 3646 31.16 22.2 0.190
Yuvraj Singh250140 7911 31.64 46.0 0.184
SR Tendulkar102 53 3024 29.65 18.6 0.183

Crowe has stolen the thunder from Richards in the Nos. 4 to 7 positions table. The generally lower HSI values, all barring one below 0.3, indicate the difficulty of making significant contributions when batting in the middle order. Richards maintains his win percentage value which is around two-thirds. That master of the middle order batting, Miandad appears next. Steve Tikolo, the only world-class batsman Kenya produced, is a well-deserved presence in this table. Ross Taylor rounds off the top five.

5. First inns - Minimum 50 innings
BatsmanQualifying InnsWinsRunsRuns per InnsHSI-TotalHSI
IVA Richards 80 56 3711 46.39 26.9 0.336
DL Haynes 99 68 4267 43.10 31.5 0.318
GR Marsh 65 47 2795 43.00 18.9 0.291
NV Knight 51 25 2061 40.41 14.8 0.291
DI Gower 56 25 1922 34.32 16.2 0.290
GA Gooch 61 31 2284 37.44 16.6 0.272
NJ Astle114 44 4060 35.61 30.9 0.271
SR Tendulkar218107 9693 44.46 58.8 0.270
DM Jones 96 64 4108 42.79 25.8 0.269
Javed Miandad125 62 4335 34.68 33.1 0.265
H Masakadza 62 15 1975 31.85 15.7 0.253
MD Crowe 74 28 2422 32.73 18.6 0.252
BC Lara132 56 4980 37.73 33.0 0.250
NS Sidhu 57 29 2165 37.98 14.2 0.250
JH Kallis152 96 5976 39.32 38.0 0.250
CG Greenidge 53 38 2130 40.19 13.3 0.250
SC Ganguly151 74 6121 40.54 37.3 0.247
KC Sangakkara194105 7466 38.48 46.3 0.239
Saeed Anwar136 81 4932 36.26 32.1 0.236
Shakib Al Hasan 57 19 1775 31.14 13.4 0.235
ME Waugh130 85 5181 39.85 30.3 0.233
HH Gibbs113 68 4041 35.76 26.2 0.231
AJ Lamb 61 27 2094 34.33 14.0 0.229
A Flower109 33 3825 35.09 24.9 0.228
WU Tharanga 94 46 3269 34.78 21.3 0.227
ST Jayasuriya221125 7651 34.62 50.2 0.227
G Kirsten 90 61 3515 39.06 20.4 0.227
A Ranatunga112 43 3618 32.30 25.3 0.226
AP Gurusinha 60 22 1866 31.10 13.6 0.226
GA Hick 56 26 2003 35.77 12.7 0.226

Richards excelled in the first innings: most of his top innings - 189*, 181, 138, 153, 149, were in the first innings. Look at the wonderful win ratio of 70% when West Indies batted first. And Richards outstanding RpI figure of 46. Haynes is placed second, with marginally lower figures. In fourth position is Marsh, the quintessential opening batsmen, with impressive figures under all columns. Knight rounds off the table, but with less that 50% wins. Tendulkar's figures are very impressive but the win percentage remains just below 50%, matching his career numbers.

6. Second inns - Minimum 50 innings
BatsmanQualifying InnsWinsRunsRuns per InnsHSI-TotalHSI
CH Gayle130 59 4699 36.15 47.4 0.365
V Kohli 68 46 3327 48.93 24.6 0.362
SR Watson 55 36 2392 43.49 19.4 0.353
CG Greenidge 73 51 2996 41.04 24.8 0.340
GC Smith 95 58 3837 40.39 30.9 0.325
ME Trescothick 53 30 2019 38.09 16.8 0.318
SR Tendulkar228124 8671 38.03 71.9 0.315
Saeed Anwar105 58 3849 36.66 32.2 0.307
ML Hayden 60 47 2424 40.40 18.4 0.307
MD Crowe 66 32 2282 34.58 19.4 0.295
SP Fleming129 62 4398 34.09 37.4 0.290
IVA Richards 87 58 3010 34.60 25.0 0.287
BC Lara157 78 5425 34.55 44.5 0.283
AC Gilchrist127 90 4769 37.55 35.5 0.280
S Chanderpaul130 58 4455 34.27 35.5 0.273
BRM Taylor 70 17 2245 32.07 19.1 0.273
Javed Miandad 91 45 3041 33.42 24.8 0.272
SO Tikolo 59 17 1609 27.27 16.0 0.272
DL Haynes137 91 4377 31.95 36.9 0.270
AJ Lamb 57 35 1916 33.61 15.3 0.269
DM Jones 65 32 1960 30.15 17.4 0.268
Tamim Iqbal 67 29 2180 32.54 17.7 0.264
MG Bevan 81 45 2882 35.58 21.3 0.263
PA de Silva160 66 5117 31.98 41.9 0.262
AJ Strauss 61 33 2218 36.36 15.8 0.259
G Kirsten 93 59 3258 35.03 24.1 0.259
GA Gooch 59 33 1990 33.73 15.1 0.256
Rameez Raja 85 43 2770 32.59 21.7 0.255
AB de Villiers 75 46 2932 39.09 18.9 0.252
LRPL Taylor 57 27 1653 29.00 14.4 0.252

A smattering of modern batsmen fills up this table. Four of the top five, Gayle, Kohli, Watson and Graeme Smith are still active. If we say that this indicates a better chasing scenario currently, then it may be the correct conclusion for the wrong reason since all these HSI numbers are measures within a team. But it is possible that there more chasing wins now than ever. Kohli's outstanding RpI in chasing wins stands out. Gayle's is slightly low but I expect that he makes up for this with a higher scoring rate. Tendulkar is fine, not outstanding, with a RpI of 38. However, he has a higher win percentage batting second, than batting first.

7. Home matches - Minimum 50 innings
BatsmanQualifying InnsWinsRunsRuns per InnsHSI-TotalHSI
ME Trescothick 57 25 2386 41.86 18.0 0.316
NJ Astle 84 42 3448 41.05 25.5 0.304
SR Tendulkar159 95 6976 43.87 47.3 0.297
CH Gayle102 47 3477 34.09 30.1 0.295
BB McCullum 74 40 2172 29.35 21.7 0.293
NS Sidhu 54 37 2159 39.98 15.7 0.291
BC Lara 85 45 3224 37.93 24.4 0.287
DM Jones104 64 4069 39.12 28.9 0.278
Tamim Iqbal 61 25 1832 30.03 16.8 0.276
PA de Silva 63 41 2390 37.94 17.4 0.276
A Ranatunga 57 36 1897 33.28 15.7 0.275
Shakib Al Hasan 59 27 1837 31.14 15.3 0.259
S Chanderpaul 83 37 2923 35.22 21.5 0.259
HH Gibbs101 71 3549 35.14 26.0 0.257
AJ Stewart 54 30 1816 33.63 13.8 0.256
GS Chappell 52 26 1568 30.15 13.3 0.255
Javed Miandad 59 39 1974 33.46 15.0 0.254
GR Marsh 72 50 2477 34.40 18.2 0.253
MD Crowe 56 31 1884 33.64 14.1 0.252
SC Ganguly 75 42 3110 41.47 18.9 0.251
MS Atapattu 71 54 2559 36.04 17.8 0.251
IR Bell 59 31 2344 39.73 14.5 0.246
BRM Taylor 74 23 2567 34.69 18.2 0.246
Inzamam-ul-Haq 64 40 2674 41.78 15.7 0.246
RR Sarwan 77 37 2777 36.06 18.8 0.245
H Masakadza 73 24 2226 30.49 17.8 0.244
GC Smith 93 60 3614 38.86 22.4 0.240
GW Flower 60 16 1931 32.18 14.4 0.240
Mohammad Yousuf 66 40 2767 41.92 15.8 0.239
MS Dhoni 82 50 3342 40.76 19.6 0.239

A very unlikely player at the top: Marcus Trescothick, who was very good at home, but memory tells me that many of these good innings were in lost matches. A tally of 25 wins in 57 matches confirms this. Nathan Astle follows next. Then it is Tendulkar, with a very good RpI value of nearly 44 and an HSI value of just below 0.3. It is surprising that there are not many Indian batsmen in the top-20. Maybe they all took HSI points off each other. It is also surprising that the HSI values are at a lower level: most values are below 0.3.

8. Away matches - Minimum 50 innings
BatsmanQualifying InnsWinsRunsRuns per InnsHSI-TotalHSI
IVA Richards 82 55 3921 47.82 34.7 0.424
CG Greenidge 56 36 2142 38.25 16.8 0.299
MD Crowe 53 16 1641 30.96 15.0 0.283
Javed Miandad 76 27 2573 33.86 20.9 0.275
BC Lara 93 32 3212 34.54 25.1 0.270
S Chanderpaul 82 27 3220 39.27 22.1 0.270
V Sehwag 88 40 3025 34.38 23.2 0.264
ME Waugh 80 43 3059 38.24 20.8 0.260
ML Hayden 59 39 2415 40.93 15.0 0.254
KC Sangakkara125 56 4666 37.33 31.4 0.251
CH Gayle 85 34 3032 35.67 21.0 0.247
GA Hick 53 19 1621 30.58 13.0 0.245
LRPL Taylor 50 12 1799 35.98 12.2 0.243
Misbah-ul-Haq 59 38 2224 37.69 14.2 0.241
KP Pietersen 63 22 2423 38.46 15.2 0.241
JH Kallis100 53 3707 37.07 24.0 0.240
G Gambhir 53 35 1917 36.17 12.7 0.239
G Kirsten 62 32 2341 37.76 14.6 0.235
SR Tendulkar142 60 5015 35.32 33.0 0.232
NJ Astle 63 21 1898 30.13 14.6 0.231
GW Flower 76 20 2498 32.87 17.5 0.230
WU Tharanga 63 32 2109 33.48 14.4 0.229
Saeed Anwar 68 33 1833 26.96 15.5 0.228
BRM Taylor 55 5 1405 25.55 12.5 0.228
M Azharuddin 84 25 2789 33.20 18.9 0.225
DL Haynes101 65 3033 30.03 22.6 0.224
GC Smith 58 32 2033 35.05 12.8 0.220
SR Watson 77 44 2792 36.26 16.7 0.217
Mohammad Hafeez 70 37 2193 31.33 15.0 0.215
RT Ponting129 83 5090 39.46 27.7 0.214

Richards was the best traveller. I am almost certain that the very high HSI of 0.424 was caused by his stupendous performances in England and Australia. The 138, 153*, 189*, 149 were enough to give him this extraordinary HSI. Look at the very high RpI: nearly 48. Look at the away-win percentage of West Indies teams: 55 out of 82. Then Greenidge. The West Indians seem to have very good away figures, possibly because they do not play many home matches: Lara and Chanderpaul are there in the top ten. Virender Sehwag seems to have liked the pitches away from India too. Mathew Hayden has an above-average RpI value of nearly 41. But Richards stands supreme.

9. Neutral matches - Minimum 50 innings
BatsmanQualifying InnsWinsRunsRuns per InnsHSI-TotalHSI
SR Tendulkar145 76 6373 43.95 50.4 0.348
CH Gayle 59 22 2168 36.75 17.9 0.303
G Kirsten 59 41 2384 40.41 16.5 0.280
Javed Miandad 81 41 2829 34.93 22.0 0.272
HH Gibbs 58 35 1974 34.03 15.6 0.269
DL Haynes 87 58 3042 34.97 23.3 0.268
Saeed Anwar133 78 5351 40.23 35.0 0.263
AP Gurusinha 65 22 1753 26.97 17.0 0.262
SC Ganguly126 65 4774 37.89 32.6 0.259
JH Kallis 75 49 2689 35.85 19.2 0.257
BC Lara111 57 3969 35.76 27.9 0.252
A Flower 75 22 2544 33.92 18.9 0.251
RB Richardson 83 48 2346 28.27 20.2 0.244
AC Gilchrist 61 50 2017 33.07 14.8 0.242
ST Jayasuriya162 82 5463 33.72 37.5 0.231
SP Fleming 93 41 2715 29.19 21.3 0.230
SB Styris 53 27 1529 28.85 12.0 0.226
PA de Silva133 50 3950 29.70 29.6 0.223
KC Sangakkara 91 46 3179 34.93 20.2 0.222
S Chanderpaul 85 35 2632 30.96 17.7 0.208
Shoaib Malik 67 32 1936 28.90 14.0 0.208
Mohammad Yousuf105 64 3497 33.30 21.8 0.208
Inzamam-ul-Haq156 92 5118 32.81 32.1 0.206
NJ Astle 68 29 1711 25.16 13.9 0.205
IVA Richards 59 41 1995 33.81 12.1 0.205
V Sehwag 68 43 2249 33.07 13.3 0.195
Rameez Raja 86 45 2606 30.30 16.8 0.195
Aamer Sohail 68 39 2215 32.57 13.2 0.194
WJ Cronje 52 34 1619 31.13 10.0 0.193
ADR Campbell 57 19 1428 25.05 10.9 0.192

Tendulkar was king in the neutral locations. He also played in as many as 145 matches. Many of these were played at Sharjah and the VB Series-type triangular tournaments. An excellent RpI value of around 44 shows the extent of his contributions in these away matches. The win percentage is around his career level of 50%. Gayle is the only other batsman to have an HSI of above 0.3, with a decent RpI value. Gary Kirsten and Miandad, the king of Sharjah, complete the top five positions. Let me hasten to add that matches in UAE are neutral matches for Pakistan.

10. Wins - Minimum 50 innings
BatsmanQualifying InnsWinsRunsRuns per InnsHSI-TotalHSI
CH Gayle103103 4602 44.68 42.0 0.408
HM Amla 52 52 3259 62.67 19.2 0.369
NJ Astle 92 92 4254 46.24 33.2 0.361
IVA Richards114114 5129 44.99 40.1 0.352
BC Lara134134 6553 48.90 46.1 0.344
CG Greenidge 89 89 4185 47.02 30.1 0.339
NS Sidhu 66 66 3005 45.53 22.2 0.337
MD Crowe 60 60 2694 44.90 20.2 0.337
Saeed Anwar139139 6323 45.49 46.4 0.334
SR Tendulkar23123111157 48.30 75.7 0.328
DL Haynes159159 6524 41.03 51.9 0.326
GA Gooch 64 64 2710 42.34 20.8 0.324
V Kohli 73 73 3813 52.23 23.4 0.320
DM Jones 96 96 4275 44.53 29.5 0.307
SC Ganguly147147 6938 47.20 44.4 0.302
GR Marsh 74 74 3096 41.84 21.8 0.294
G Kirsten120120 5224 43.53 34.7 0.289
HH Dippenaar 58 58 2491 42.95 15.9 0.273
Shakib Al Hasan 51 51 1854 36.35 13.9 0.272
V Sehwag131131 5748 43.88 35.6 0.272
ME Trescothick 53 53 2153 40.62 14.4 0.271
BB McCullum 88 88 2741 31.15 23.8 0.271
RR Sarwan 71 71 2917 41.08 18.8 0.264
PA de Silva122122 4905 40.20 32.0 0.263
SP Fleming120120 4357 36.31 31.6 0.263
MS Atapattu136136 5598 41.16 35.5 0.261
GC Smith115115 4692 40.80 29.4 0.256
IR Bell 59 59 2553 43.27 15.0 0.254
JH Kallis196196 8032 40.98 49.4 0.252
Javed Miandad107107 3931 36.74 27.0 0.252

In this and the next table, the "Wins" column is superfluous. However common programs generate the tables and I have left it at that. Chris Gayle is at the top of the Wins table. When West Indies won, he was right there outperforming his team-mates. That is what the value of 0.408 indicates. Gayle's RpI is well above average. Amla has won only 52 matches, but chips in very well. And look at his RpI which is an extraordinary 62+. Astle is a surprise entry. Let us not forget that he would have contributed with the ball too. Then comes Richards, winning 114 matches and having an excellent HSI of 0.352 and very good RpI value of 45. Lara is very close behind Richards. It is no surprise that the top-20 batsmen in this table have RpI values exceeding 40. Kohli is the only batsman other than Amla to have a 50-plus RpI value.

11. Losses - Minimum 50 innings
BatsmanQualifying InnsWinsRunsRuns per InnsHSI-TotalHSI
Javed Miandad104 0 3389 32.59 30.5 0.294
NV Knight 53 0 1910 36.04 14.5 0.274
ME Trescothick 61 0 2036 33.38 15.8 0.259
AJ Lamb 55 0 1560 28.36 14.1 0.257
SR Tendulkar200 0 6585 32.92 51.0 0.255
S Chanderpaul144 0 4661 32.37 36.4 0.253
AP Gurusinha 86 0 2209 25.69 21.5 0.250
KC Sangakkara147 0 4760 32.38 36.5 0.248
BRM Taylor110 0 2977 27.06 26.6 0.242
SO Tikolo 91 0 2139 23.51 21.2 0.233
A Flower144 0 4254 29.54 33.1 0.230
JH Kallis102 0 3217 31.54 23.3 0.228
GA Hick 59 0 1601 27.14 13.4 0.226
KP Pietersen 66 0 2341 35.47 14.6 0.221
IVA Richards 51 0 1501 29.43 11.2 0.219
MEK Hussey 54 0 2022 37.44 11.8 0.219
Tamim Iqbal 79 0 2017 25.53 17.2 0.218
SM Gavaskar 56 0 1492 26.64 12.1 0.216
DI Gower 54 0 1377 25.50 11.6 0.215
DM Jones 61 0 1651 27.07 13.1 0.214
MD Crowe 78 0 1938 24.85 16.4 0.211
PA de Silva163 0 4155 25.49 34.1 0.209
GW Flower148 0 4188 28.30 31.0 0.209
MG Bevan 70 0 2276 32.51 14.6 0.208
Inzamam-ul-Haq146 0 4118 28.21 30.2 0.207
LRPL Taylor 62 0 1941 31.31 12.9 0.207
HH Gibbs 83 0 2182 26.29 17.2 0.207
SB Styris 80 0 2005 25.06 16.6 0.207
DC Boon 64 0 1971 30.80 13.1 0.204
KO Otieno 68 0 1360 20.00 13.6 0.200

Javed Miandad figures at the top of the "Losses" table. Tendulkar is in fifth position. How do we explain this? The only sane explanation seems to be that they did what was expected of them and the others failed. However, let me add that the RpI of Tendulkar and Miandad in these matches is around 32. This indicates that they were not at their best but still out-performed their team mates. Let us not forget that the highest value of HSI in this table is only 0.294. It is not a table which can be easily explained. AS Milind says, A typical loss is normally due to fall of early wickets. So the top-three batsmen might not get too many HSI points.

12. Cup Finals - Minimum 6 innings (Featured - HSI: 0.250+)
BatsmanQualifying InnsWinsRunsRuns per InnsHSI-TotalHSI
Saeed Anwar 9 4 544 60.44 3.8 0.422
SC Ganguly 11 6 684 62.18 4.5 0.405
SB Styris 12 6 453 37.75 4.4 0.365
PA de Silva 12 6 529 44.08 4.3 0.362
Shakib Al Hasan 6 1 119 19.83 2.2 0.361
JH Kallis 16 8 794 49.62 5.7 0.356
HH Gibbs 12 5 668 55.67 4.2 0.352
GA Gooch 6 3 284 47.33 1.9 0.324
A Flower 6 0 142 23.67 1.9 0.320
ME Waugh 8 6 351 43.88 2.5 0.314
IVA Richards 7 5 324 46.29 2.2 0.309
ML Hayden 14 12 599 42.79 4.3 0.307
A Jadeja 6 2 240 40.00 1.8 0.305
PG Fulton 8 4 252 31.50 2.4 0.296
AC Gilchrist 22 19 764 34.73 6.5 0.295
RR Sarwan 11 4 397 36.09 3.2 0.294
S Chanderpaul 15 6 596 39.73 4.2 0.283
KP Pietersen 6 3 323 53.83 1.6 0.274
SR Tendulkar 17 11 649 38.18 4.5 0.265
SP Fleming 18 8 524 29.11 4.7 0.263
MS Atapattu 8 2 247 30.88 2.0 0.254

These are the matches from the World Cups and Champions Trophies, the true world-level tournaments. The matches from quarter-finals onwards and Super-xxx matches are included. A note on the qualification: There were only two important matches, as defined here, in the first few World Cups: the semi-final and final. As such there would be batsmen who have played in these World Cups who would barely reach six matches, leave alone ten. Hence, I have lowered the cut-off for inclusion in this table to six matches.

The table has very surprising entries at the top. The evergreen Saeed Anwar leads the table with 0.422. His RpI is an outstanding 60. Sourav Ganguly is another surprise. It shows the value of his partnership with Tendulkar and confirms the fact that he contributed more than his share in key matches. A magnificent RpI of 62 corroborates this. In third place is the unfancied New Zealand all-rounder, Styris. He has performed very effectively, almost always under the radar. Then we have de Silva, no doubt helped by those three top class performances during 1996, in which he scored over 200 runs. The top five segment is rounded off by the star allrounder from Bangladesh, Shakib. What he has done with limited support is wonderful. Richards is down in 11th position and Tendulkar is further down in 19th position. Look at the win percentage values of Mark Waugh, Hayden and Adam Gilchrist.

13. Important matches - Minimum 15 innings (Featured - HSI: 0.200+)
BatsmanQualifying InnsWinsRunsRuns per InnsHSI-TotalHSI
G Kirsten 19 13 999 52.58 9.0 0.474
SR Tendulkar 38 17 1844 48.53 13.4 0.352
DM Jones 30 16 1064 35.47 9.7 0.323
IVA Richards 17 11 836 49.18 5.4 0.320
AC Gilchrist 32 23 1163 36.34 8.9 0.279
ST Jayasuriya 39 21 1613 41.36 10.8 0.277
BC Lara 18 6 507 28.17 4.9 0.272
ML Hayden 16 10 740 46.25 4.1 0.258
PA de Silva 23 9 878 38.17 5.7 0.248
GM Wood 15 8 544 36.27 3.5 0.235
R Dravid 22 3 729 33.14 4.9 0.221
MS Atapattu 26 16 969 37.27 5.6 0.216
AR Border 37 19 1057 28.57 7.8 0.211
SC Ganguly 28 7 989 35.32 5.8 0.206
M Azharuddin 27 14 823 30.48 5.5 0.205
KC Sangakkara 26 13 1023 39.35 5.3 0.204
DC Boon 22 15 751 34.14 4.4 0.202
Kirsten is on top, with an extraordinary RpI value of nearly 53. His HSI of 0.474 is one of the highest in these tables indicating his way-above-average contributions to the South African team. 13 wins out of 19 tells the story. Tendulkar follows next, with an almost similar RpI of 48 and HSI of 0.352. He played in 40 finals. However, the two Champions Trophy Finals against Sri Lanka are not included: he did not bat in one and scored 7 in a very short innings in the other. But his contributions have been invaluable to the Indian teams, although one must admit that the win percentage is disappointing indicating that the other Indian batsmen did not pull their weight. Then we see the two early giants, Jones and Richards.

Richards leads in four of these 12 tables. Gayle tops in two. After that comes a collection of wonderful players with one each: Tendulkar, Miandad, Kirsten, Saeed Anwar, Crowe and Trescothick.

To download/view the Excel sheet containing the 24106 HSI values (0.100 and above), please CLICK HERE.

To download/view the Excel sheet containing the 24106 HSI values (0.100 and above) in HSI order and a Chronological woksheet which contains ALL the HSI values, please CLICK HERE.

To download/view the document containing the 13 complete analysis tables, please CLICK HERE.

This is, confirmed by my perusals of files, the longest article I have ever created. Readers should take their time to understand the ideas and calculations before firing their comments. A surface scan is not enough. I have written the article and it takes nearly me 30 minutes for a complete reading of the same including the tables. My take is that many of the questions can be answered if you download these two huge files and view the contents. Instead of asking me obvious questions for which the answers are already there in the tables, you could download the file and view the tables. And a final statement. The type of narrow, chauvinistic, inherently counter-productive responses I got on the pair of Tendulkar articles are not welcome and will not see the light of the day. There is a clear limit to everything. This is a new concept, there is a lot to be discussed and understood and I do not want this to be hijacked.

As I write this comes news of Graeme Swann's retirement. A really sad day indeed. He is the first victim of the sustained campaign against the senior English players. There is no room for sentiments in this hard current cricket scene as VVS Laxman found out last year. No player, barring one, is beyond this sustained pressure. This year has seen the retirement of three of my favourites: Michael Hussey, Tendulkar and Swann. All masters of their craft, artists par excellence, purists and wonderful role models. None of them had any on-field incident during the many years they played. I wish this great trio and the gentlemen-duo who retired during 2012 a wonderful post-cricket life.

I only hope that suddenly Kevin Pietersen does not see a rosy IPL-dominant-Test-excluded future a couple of weeks after Christmas. He has much to contribute to English cricket.

And just now, the hammer-blow: Jacques Kallis: What does one say, other than "inarguably one of the all-time greatest players ever" and that he deserves a complete article. When? is a $64,000 question.

What does one say of the extraordinary Test in Johannesburg? One of the greatest draws ever. At the end of five days, 440 overs, 1400 runs and 37 wickets, two boundaries separate the teams. I am amazed to see so many such wonderful Tests being played out nowadays. Both teams could say in public that they missed a win but would also feel in the dressing room that they have done a Houdini act. Anyhow this is one of the rare games about which one could say "both teams deserved to win and neither team deserved to lose". I would have given Faf du Plessis the Man-of-the-Match award. But the contribution numbers tell another story: it is Vernon Philander. For India to play West indies in a meaningless series and then go on to New Zealand for another such series, and playing a two-Test series against the best team in the world: myopic and short-sighted will not be enough to describe the nonsensical ego-driven scheduling.

I am amazed by the comments that South Africa did not go for a win. If one takes only the last 19 balls, did India go for a win? Certainly no. Barring a ball or two, almost all the balls were short outside the off stump with a single slip. There was no attempt to take a wicket. Dhoni waited for a mistake by South African batsmen, but they did not fall into the trap. Dhoni cannot be blamed for that, nor Philander or Dale Steyn. However, with a guy who could barely stand up and another who, at best, could be said to be better than Chris Martin, a wicket in the two overs before the last over could as well have been curtains for South Africa. Both teams played it safe.

I can understand the comments of many others, but not those of Kohli. Why should he talk about the other team's tactics when his own team also adopted a safety-first approach. To go for a win risks had to be taken and both teams, very correctly, avoided taking risks. And now Cheteshwar Pujara feels that when India batted the ball was doing something and when South Africa batted it was flat. What makes these guys keep on talking unnecessarily, inviting retorts from the other side, I wonder. Leave the other players out. I am sure the trio of Indian batsmen who accumulated 37,990 Test runs in 598 Tests would not say anything like this.

Anantha Narayanan has written for ESPNcricinfo and CastrolCricket and worked with a number of companies on their cricket performance ratings-related systems

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Posted by   on (January 9, 2014, 11:11 GMT)

Excellent insights. A few thoughts - particularly on Table 2 - It features 3 batsmen from the same generation featuring in that table - Viv, Haynes & Greendige. That too during the days when 220 was above par (and ODIs of 55 over / 60 over durations). These batsmen had healthy 40+ averages as well. Contrast this with the absence of Ponting, which was attributed to a strong team. Not only Viv, but the other two were on top of their games as well. Similar is the case of India which had multiple batsmen from the same generation in this table (not exactly - we can say Sidhu was half generation behind and Kohli was half generation ahead). This, irrespective of batting position, is an excellent indicator that more often than not, these batsmen invariably came up with significant contributions to their teams (strong batting teams). In other words, strong batting team is not necessarily a deterrent to feature in this list. Ponting was a great, but Haydos was a shade more impactful for Aussies.

Posted by Rameshkumar_Satyamoorthy on (January 3, 2014, 6:38 GMT)

Ananth,

I think HSI needs some tweaking in ODIs. A few thoughts on this measure

1. High score in ODIs with lower strike rate is not only of lower value to the team. But it also puts more pressure on the other players who in turn go for strokes and get out, thereby making the HSI look better which does not make sense.

2. High score along with strike rate may give different interpretations depending on whether you are setting the target or chasing the target. Good HSI with good strike rate while chasing a big score will be of different challenge than while chasing a lower one. So is there a case to look at 300+ score differently?

3. For a lower order batsmen, we can probably keep a notional good score (may be a 40?) and measure his contribution as any other measure may complicate it further.

Posted by Anshu.N.Jain on (December 31, 2013, 9:41 GMT)

Thanks Anantha for your responses. On your comment "If you are suggesting that I could multiply Hs2 by Hs2/Hs3, Hs3 by Hs3/Hs4 and so on, it makes sense. But too much work for some minimal benefit" - no, I wasnt suggesting this method, which will actually yield erratic results for some situations (If the top 3 scores in a team total of 150 are 75,50 and 10, then HSI for Hs1 = 75/150*75/50=0.75 and HSI for Hs2 = 50/150*50/10=1.67; Hs2>Hs1, defeating the very purpose) My query "Can we calculate the HSI without the scaling component (HS1/HS2)?" meant calculating the career HSI for players without the scaling component. That would still be a worthwhile metric to look at, as opposed to an aggregate career % of total team runs scored.
[[
Yes. It is a sum of BS/TS rather than (Sum of BS)/(Sum of TS).
Ananth
]]

I havent looked up the data tables in detail. Will do so now. Thanks :-)

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ABOUT THE AUTHOR

Anantha Narayanan
Anantha spent the first half of his four-decade working career with corporates like IBM, Shaw Wallace, NCR, Sime Darby and the Spinneys group in IT-related positions. In the second half, he has worked on cricket simulation, ratings, data mining, analysis and writing, amongst other things. He was the creator of the Wisden 100 lists, released in 2001. He has written for ESPNcricinfo and CastrolCricket, and worked extensively with Maruti Motors, Idea Cellular and Castrol on their performance ratings-related systems. He is an armchair connoisseur of most sports. His other passion is tennis, and he thinks Roger Federer is the greatest sportsman to have walked on earth.

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