April 22, 2012

Test Bowling: a peer analysis of spells

A statistical study analysing Test bowlers' performances relative to those of their peers

Muttiah Muralitharan had a career spell average twice as good as his peers © AFP

When I was perusing the scorecard of the South Africa - New Zealand match which finished in a draw, I was admiring Morne Morkel's bowling performance: 6 for 23. Mentally I compared that with de Lange's spell of 0 for 77 and computed in my mind that it was "19 times better". Then it struck me that this was when compared to a single bowler. What happens if we compared to all the other bowlers. The number came to around 44. I suddenly remembered that I had done this analysis for batsmen more than a year back, based on a Unnikrishnan suggestion but had not done it for the bowlers. And I was curious to know where Morne Morkel's performance stood, over 2000 Tests.

To view the Batting Innings Peer Index article please click here.

The greatness of this analysis is that it is the purest of peer analyses possible. All conditions remain the same. Against the same set of batsmen, in almost the same conditions, identical match situation, ball conditions (somewhat) similar, weather similar, same set of umpires and so on.

Once the spark comes, the system takes over. Soon I realized that this was totally different to the Batting analysis. The differences are outlined below.

1. There is no limit to the batsman runs nor the team runs. However the total wickets cannot exceed 10. Hence there is a cap on the combined number of wickets.

2. In completed innings, the highest share of a batsman is Bannerman's 67.3. Two bowlers have captured 100% of the team wickets, 14 bowlers 90% of the team wickets, 72 bowlers 80% of the team wickets and 246 bowlers 70% of the team wickets. There is a totally different dynamics in operation here.

3. It is certain that if a batsman scored x runs, the other-batsmen would have scored y runs, whatever be the situation, if basic precautions are taken. However there are many instances in which a bowler captures x wickets and the other bowlers capture no wicket. Morkel's is the perfect example. So this has to be taken into account.

4. There are two sub-analyses possible in the bowler analysis, unlike the batting analysis. I could do a peer comparison within the innings of the bowling accuracy and bowling strike rate. These are likely to produce totally different sets of performances.

How do I take care of all the above situations. First the terminology. The ratios are called Spell Peer Factor - 1/2/3 (SPF-1/2/3).

a. As far as I am concerned there is no 0 wkt situation. If the other-bowlers have not captured a single wicket, I take that notionally as 1 so that a division is possible. I am anyhow a very practical analyst. If a batsman started his career with an unbeaten 75, as far as I am concerned, his career figures should read 1-1-75-75.00 and not as "infinity" as some misguided purists would suggest. I have been irritated by the oft-repeated phrase "no average". This method would work very well in all situations, including the two 10-wicket performances and the trigger for this analysis, Morkel's spell.

b. For the Spell Peer Factor analysis of Bowling average and strike rate, I will only consider spells of 4-wickets or more. A 4-wicket capture is a very significant bowling spell and will add weight to the results. I had initially considered 3-wickets but decided to raise the bar. I have given a list of a few significant 3-wicket performances at the end.

c. For the Spell Peer Factor analysis of Bowling accuracy, I will only consider spells of 120-balls or more. This makes eminent sense. Otherwise a bowler with a single maiden over will throw everything out of gear. Let the accurate bowlers earn their spots over a decent 150-minute spell.

d. For the Career Peer Factor determination, I would exclude spells which are wicket-less and lower than 30 balls. This will ensure inclusion of bowling spells like these: Benaud 3.4-3-0-3, Kumble 2-1-2-2, Lawson 1-0-2-1 et al. To those who say 10 overs, I can only say, 30 balls present a fair chance of a wicket. Anyhow do not waste too much time. An example: Muralitharan has only two such short fruitless spells. So the impact is minimal.

e. Since this is a peer analysis of a bowler's performance against the combined performance of his team-mates, I have decided that the rest of the wickets will include all dismissals. What matters is that the rest of the team effected these dismissals. That is all. If I had excluded run outs etc., then the ratios would be higher across the board.

The formula for determining the SPF values is quite simple and outlined below.

Bowling average for other bowlers for innings
SPF-1  = ---------------------------------------------
Bowling average for bowler for spell


Bowling average Innings score - Extras - Runs conceded by bowler for other bowlers = ------------------------------------------------ for innings Innings wkts - Bowler wkts (If 0, taken as 1)

For SPF-2, use RpO (Runs per Over) instead of Bowling Average and For SPF-3, use BpW (Balls per wkt) instead of Bowling Average

Let me anticipate some comments. It really does not matter if the batsmen dismissed by the bowler are lower in the order and the other dismissals are top order. The bowler might have got the new ball and the other might not have. On the other hand the bowler might have got an old ball with reverse swing and the others might not have. The bowler might have bowled more to Richards. And so on. Let us forget all these factors. What we are looking at is a simple peer comparison within an innings, that is all. Instead of finding faults, let us draw some insights. I will be using this measure in my bowling spells rating work.

Readers have a knack of converting every analysis into a best bowler/batsman type of article. Please do not send comments such as Steyn is better than Morkel, Wasim is better than Sarfraz, Ambrose/Marshall are better than Lawson and so on. Possibly true, but not relevant here. Please read and understand the article which can be defined as "peer comparison within the same innings".

Now for the tables. There are four tables. Three cover the individual Spell Peer Factor values, one each for the Bowling average, Runs per over and Bowling strike rate. The last table highlights the Career Peer Factor values. As always, the top 25 or so entries are shown here and the full table, now standardized in the form of Excel sheets is available for downloading.

SPF-1: Bowling Average based

20372012SafNzl0171.0171.0Morkel M6233.8344.61
481896EngSaf1116.0116.0Lohmann G.A9283.1137.29
16302002WinBng473.018.2Lawson J.J.C630.5036.50
17202004AusInd4192.048.0Clarke M.J691.5032.00
15832002SlkZim1161.0161.0Muralitharan M9515.6728.41
2901947AusInd554.010.8Toshack E.R.H520.4027.00
4281956EngAus0136.0136.0Laker J.C10535.3025.66
6831971WinInd1229.0229.0Noreiga J.M99510.5621.69
11101988AusWin1230.0230.0Hughes M.G88710.8821.15
9841984EngPak1170.0170.0Cowans N.G5428.4020.24
8491979PakAus1189.0189.0Sarfraz Nawaz9869.5619.78
10291985NzlAus1111.0111.0Hadlee R.J9525.7819.21
7991977WinPak2136.068.0Croft C.E.H8293.6218.76
12221993PakWin0106.0106.0Waqar Younis4235.7518.43
11651991SlkNzl1191.0191.0Labrooy G.F44210.5018.19
161884EngAus6515.085.8Hon.A Lyttelton4194.7518.07
15242000NzlZim1255.0255.0Martin C.S57114.2017.96
4831959IndAus1135.0135.0Patel J.M9697.6717.61
10201985AusEng1301.0301.0McDermott C.J814117.6217.08
12661994EngSaf1104.0104.0Malcolm D.E9576.3316.42
12171993AusNzl6194.032.3Warne S.K482.0016.17
10811987PakEng1100.0100.0Abdul Qadir9566.2216.07
10481986EngInd1122.0122.0Edmonds P.H4317.7515.74
8511979IndEng0427.0427.0Kapil Dev N514629.2014.62
3481952IndEng2200.0100.0Mankad M.H8556.8814.55
5271962WinInd2135.067.5Gibbs L.R8384.7514.21
15132000PakEng0290.0290.0Saqlain Mushtaq816420.5014.15
14431999IndPak0104.0104.0Kumble A10747.4014.05

Where does the trigger spell of Morne Morkel stand. Lo and behold! It is at the top. I had a sneaking suspicion that 44 was not a number which could be beaten. Imagine a bowler performing nearly 50 times better than the rest of his team-mates including Philander (avge ~ 14) and Steyn (avge ~ 23). Then, as expected, comes Lohmann, not surprising since he specialized in spells of 8/9 for nothing. Afterwards comes a spell of recent vintage. Lawson picking up the last six Bangladeshi wickets for just 3 runs and an SPF-1 value of 36.50. However the other bowlers also fared well, capturing 4 for 73. Then comes the very well-known Michael Clarke special, for an SPF-1 value of 32.0, 6 for 9 to move India from 181 for 4 to 205 all out. This match was incidentally played on a muddy lane around Wankhede Stadium. The top-5 are rounded off with a non-freakish spell by Muralitharan: the first nine Zimbabwe wickets for 51 against the 10th wicket by his colleagues for 161, an SPF-1 value of 28.41. Laker's 10-wicket spell finds a place in the top-10 with an SPF-1 value of 25.66. Hadlee's master class against Australia is there with an SPF-1 value of 19.21. Kumble's 10-wicket haul has a SPF-1 value of 14.05.

SPF-2: Bowling RpO based

5511964IndEng1582991.9Nadkarni R.G3250.1612.06
10461986IndEng761612.1Maninder Singh2090.444.86
2851947SafEng931942.1Mann N.B.F20100.504.16
3061948EngSaf972022.1Compton D.C.S21110.524.00
5051961IndPak912482.7Nadkarni R.G34240.713.83
8181978NzlEng1703712.2Congdon B.E24140.583.74
4491958AusSaf1201791.5Burke J.W2080.403.73
10341986IndAus44942.1Yadav N.S33190.583.71
5911965EngNzl37922.5Titmus F.J26180.693.59
16752003SlkEng612123.5Muralitharan M40401.003.48
4381957SafEng561101.9Goddard T.L21120.563.46
5931965EngNzl581452.5Titmus F.J26190.733.42
5051961IndPak752002.7Nadkarni R.G52430.823.27
3221950AusSaf441313.0Noblet G22210.923.24
1931930EngWin912382.6Rhodes W20170.823.21
4331956IndAus471603.4Umrigar P.R20211.053.20
8281978EngNzl711331.9Edmonds P.H34200.593.20
971908AusEng1013363.3Armstrong W.W34361.053.17
2501936AusSaf421283.0O'Reilly W.J21200.953.15
7071973AusPak40872.2Walker M.H.N21150.703.09
4181955IndNzl38932.4Manjrekar V.L20160.803.06
18882008NzlBng1022182.1Oram J.D.P20140.703.05
6301968IndNzl1213122.6Nadkarni R.G36310.853.04
15032000WinEng471453.0Ambrose C.E.L22221.003.03
5631964EngAus30842.8Titmus F.J27250.933.02
4661959AusEng742142.9Rorke G.F24230.953.01

This table is based on the RpO value of the spell and the RpO value of the other bowlers. The spell has to be a minimum of 120 balls to be considered. At the top, by a few kilometres, is Nadkarni's famous spell. 32 overs of rather innocuous on-a-rupee-coin bowling, resulting in 5 singles. The other 187 balls were mostly padded away. Based on today's rules, Nadkarni would have got 80 wickets, and another 20 on DRS. Barrington and Bolus: I still get nightmares since I heard the whole innings on radio. The ratios here are smaller but Nadkarni leads with an SPF-2 value of 12.06. The second effort, also by an Indian left-arm spinner, cheese to chalk of Nadkarni, yielded an SPF-2 ratio of 4.86, just over a third of Nadkarni's figure. At least Maninder Singh was more attacking and picked up 3 wickets. It is possible that a two might have been scored off him. Nigel Mann and Compton (surprise !!!) take the next two places. Compton bowled 16 8-ball overs for 11 runs. Then Nadkarni appears again: this time for a spell of 34-24-24-1. It would be of interest to note that Nadkarni's spell in the other innings was an attacking 52.4-38-43-4. What does one say of a match performance of 86.4-62-67-5. One just gives up making sense. Muralitharan, Oram and Ambrose appear in this collection of ancients.

SPF-3: Bowling Strike rate based

10201985AusEng1630630.0McDermott C.J821627.023.33
20372012SafNzl0384384.0Morkel M610016.723.04
10291985NzlAus1318318.0Hadlee R.J914215.820.15
481896EngSaf1160160.0Lohmann G.A9728.020.00
6831971WinInd1648648.0Noreiga J.M929833.119.57
4281956EngAus0594594.0Laker J.C1030830.819.29
12661994EngSaf1204204.0Malcolm D.E99911.018.55
19982011WinInd1474474.0Edwards F.H513827.617.17
11651991SlkNzl1480480.0Labrooy G.F411428.516.84
161884EngAus61196199.3Hon.A Lyttelton44812.016.61
15242000NzlZim1636636.0Martin C.S519739.416.14
9841984EngPak1267267.0Cowans N.G58416.815.89
17202004AusInd437293.0Clarke M.J6386.314.68
8491979PakAus1456456.0Sarfraz Nawaz928431.614.45
15262000SlkSaf1144144.0Muralitharan M66010.014.40
13951998ZimSlk1532532.0Streak H.H415037.514.19
13981998EngWin2342171.0Fraser A.R.C89712.114.10
12221993PakWin0228228.0Waqar Younis46616.513.82
13231996ZimNzl1618618.0Streak H.H418045.013.73
7631975AusEng61338223.0Walters K.D46516.213.72
1381921AusEng1420420.0Mailey A.A928231.313.40
3941955IndPak548296.4Gupte S.P5367.213.39
4611958IndWin1306306.0Gupte S.P920723.013.30
15132000PakEng0732732.0Saqlain Mushtaq844455.513.19
11101988AusWin1366366.0Hughes M.G822227.813.19
4281956EngAus1144144.0Laker J.C910011.112.96
14431999IndPak0204204.0Kumble A1015915.912.83
15832002SlkZim1342342.0Muralitharan M924026.712.83
11891992EngPak0624624.0DeFreitas P.A.J419849.512.61
14231998SlkEng1450450.0Muralitharan M932636.212.42

This is the peer comparison of the bowler strike rates. McDermott is the unlikely bowler at the top. He was in the news recently because of the way he has re-vitalized Australian bowling. His 8 for 141 was off 36 overs out of a huge score of 482 in 142 overs. McDermott's SPF-3 value is a huge 23.33. I like this since this is not one of those freak 5 for 2 type spells. Morkel's recent spell is quite close in the second place. His strike rate was 16.7 compared to the team strike rate of 384 leading to an SPF-3 value of 23.04. Two earlier acquaintances, Hadlee and Lohmann appear next. Then follows a a nine-wicket spell of Noreiga in the historic series-winning match, also happened to be Gavaskar's debut Test. Then comes Laker's ten-wicket spell. Kumble's 10-wicket spell comes at the end of the section with an SPF-3 value of 12.83.

Bowlers' Career Analysis: Based on SPF-1: Bowling average based

BowlerTeamDebutTestsWktsAvgeSpellsTotPtsC P F
Muralitharan MSlk199213380022.73228460.32.02
Barnes S.FEng19012718916.434998.62.01
Hadlee R.JNzl19738643122.30145271.81.87
Imran KhanPak19718836222.81139240.41.73
Laker J.CEng19484619321.2581139.51.72
Fraser A.R.CEng19894617727.3275126.11.68
Morkel MSaf20063913930.0473121.11.66
Streak H.HZim19936521628.12100165.31.65
Taylor B.RNzl19653011126.605283.71.61
Tayfield H.JSaf19493717025.916095.21.59
Croft C.E.HWin19772712523.305282.11.58
Gupte S.PInd19523614929.555992.91.57
Shoaib AkhtarPak19974617825.6982127.21.55
Pollock P.MSaf19612811624.195179.01.55
Davidson A.KAus19534418620.5380123.01.54
Collymore C.DWin1999309332.305178.51.54
McKenzie G.DAus19616024629.79109165.71.52
Grimmett C.VAus19253721624.226699.41.51
Underwood D.LEng19668629725.84145217.31.50
Mankad M.HInd19464416232.3267100.71.50
Donald A.ASaf19927233022.25126187.61.49
Steyn D.WSaf20045427223.19100148.01.48
Dilley G.REng19794113829.766391.01.45
Edmonds P.HEng19755112534.1875108.61.45
Ambrose C.E.LWin19889840520.99174250.11.44

This is a career summation and averaging of of all qualifying SPF-1 values. The cut-off for this table is 50 such spells. As an honorary invitee I have included Barnes who had 50 spells but one was excluded since that was 4-1-18-0. If anyone deserved it, Barnes is the bowler. Muralitharan and Barnes are the only bowlers who exceeded 2.0 in the Career Peer Factor value. Think of the significance of this. It has always been said that Muralitharan got his wickets because he played in a weak team. Fair enough. But, gentlemen, this is a peer comparison of performance measures. Not just did he get more wickets but got those at half the average of his peer bowlers. So let us give the great men, Muralitharan in particular, the credit. Just for a comparison, Bradman's figure for this value was 3.348.

Hadlee is next with an excellent career ratio of 1.87. A bow to one of the indisputable all-time greats. Then comes Imran Khan. He does not lose out because of the Tests he did not bowl in. A well-deserved fourth place at 1.73. Then comes Laker, not surprising because he out-performed his colleagues by wide margins. Finally a surprise sixth position for Fraser and a surprise seventh position for Morkel. I am happy to see Streak from Zimbabwe in the top-10. Then another surprise, B.R.Taylor of New Zealand. Tayfield, the incomparable South African spinner rounds off the top-10.

It is wonderful to see the classic leg-spinner, Subash Gupte topping the Indian bowlers, and nice also that Vinoo Mankad is the next Indian bowler. Colin Croft and Alan Davidson are the leading West Indian and Australian bowlers.

BCG Chart of Bowler Spell analysis: RpO vs BpW

BCG chart of career RpO and BpW
© Anantha Narayanan

Finally I am back to my favourite BCG charts for plotting the two contrasting measures, Career RpO and BpW Peer Factor values, which are the two components of the Batting average. The BCG chart will give a good idea of the way the accuracy and strike rate have interacted for the top bowlers. Remember these are not absolute values but peer values within the same innings. The top right quadrant houses bowlers who had above average figures for both accuracy and strike rate. The bottom left quadrant houses bowlers who had below average figures for both accuracy and strike rate. The top left quadrant houses bowlers who were strike rate centric. Generally the pace bowlers. The bottom right quadrant houses bowlers who were accuracy centric. Generally the spinners. But not written in stone. There are different types of bowlers mixed in all quadrants.

The top right group is the elite one and has six bowlers. Barnes has justified his special inclusion and could be termed the leader in this quadrant. Muralitharan is right up there, very close to Barnes. Imran Khan is also well placed. Hadlee has an excellent strike rate index value and just about manages to be in the right of the RpO middle line. Ambrose does it the other way. Pretty good on the RpO front and just about manages to be above the middle BpW line. But the real surprise is Kumble. He is also comfortably placed in the elite quadrant. Let us not forget that this is a peer index.

The bottom left group houses bowlers who have not been that great when compared to their compatriots. There are four bowlers in this quadrant. Lee has only a RpO peer factor of around 0.82, indicating that he has been a philanthropist when it comes to runs. He has a reasonable strike rate index. Hoggard, Benaud and Anderson are the other three bowlers here, possibly indicating that these bowlers played with other good bowlers through their career.

In the other two quadrants, the notable bowlers are Steyn, whose BpW peer factor value is simply amazing. Close to him in this regard are Donald and McDermott. Gibbs is there at the best RpO peer factor level. Bedi and Vettori are also there. Underwood, Garner and Walsh are the closest to getting into the elite quadrant. McKenzie, Kapil Dev and Lillee are the bowlers who are pushing to the elite quadrant from the BpW side.

The x-axis and y-axis lines are drawn at the median value positions. If the number of entries are counted it can be seen that both the lines divide the total population into 21-20 splits. The non-centric positioning of the two lines is because these are the top bowlers and their Peer Factor values run in the following non-centric manner. For lesser bowlers, the median values are likely to be closer to 1.00.

Career RpO Peer Factor: 1.38 to 0.83 (Median 1.10)
Career BpW Peer Factor: 1.77 to 0.93 (Median 1.23)

To download/view the Excel sheet containing the three Spell Peer Factor Tables please click/right-click here.

To download/view the Excel sheet containing the Career Peer factor tables please click/right-click here.

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

Comments have now been closed for this article

  • testli5504537 on May 5, 2012, 7:57 GMT

    If someone is really interested in knowing the s/r of batsmen from that era, open statsguru and use period of Gavaskar’s playing days. You can use filters like minimum 1000 runs and avg 30-35 (to avoid lot many names) and sort by strike rate. There are very few batters (Crowe is one) who had their s/r not as well as Gavaskar’s. Frankly, I too was surprised at the s/r of Gavaskar and Mudassar Nazar, I thought Gavaskar’s to be 42 and Mudassar, around 38. All said and done, if someone did that BQI/pitch etc. analysis for strike rates, would be in for a huge disappointment, as gavaskar’s strike rate drops to 40 outside the subcontinent. It’s all there in cricinfo database. But unfortunately ball by ball data is not available for all matches. @Ananth: Please bear with me for being off topic, again.

  • testli5504537 on May 5, 2012, 7:46 GMT

    When I said that Gavaskar was a slow player, to counter this, people resorted to different tactics. One doubted on my smoking habits and other “knowledgeable” person brought the names of 3 modern players, who are known for their slow batting and Boycott (once dropped for slow batting)/ and “celebrated” Vishy, without even caring to know why he was celebrated? definitely not for fast batting and also some players from pre-1970 era. For a PERSON who cites old players left and right, it was surprising to see such ignorance. By this count Sobers (s/r 49) was a toddler compared to these Pontings/Laras/Smiths? Was he? If someone has the time to READ about so many things of the past, he should also READ about when the pitches were started getting covered and what were the consequences. Coming back to slow batting, I knew that Mudassar was slower batsman than Gavaskar but cricinfo shows only a difference of 2 in their s/r! cont..

  • testli5504537 on May 5, 2012, 7:32 GMT

    Initially I thought will stay out of this. This is not in any way to undermine sunil, I consider his 96 to be one of the greatest innings that I have seen and possibly the best player of spin bowling among the players I witnessed. But I have seen what I have seen; unfortunately I followed (worldwide) each and every match that was going on starting from that Mumbai test of 1980 against England. Although I don't get to see many now for last few years, I still follow them on cricinfo or sometimes watch 'em live on internet. I am not a computer, but after watching/listening the matches, an image is developed in the mind as to how fast or slow a player was. Cricinfo doesn’t need to tell me about a Tavare or about a Kapil Dev, it mostly confirms it. While playing with Aussies, Wessles was an aggressive batsman but when he played for SA, became a really dour batsman; needless to say his captaincy was similar. I don’t have to learn this from cricinfo. cont..

  • testli5504537 on May 4, 2012, 19:44 GMT

    hi ananth, great piece. Was wondering, would you consider S.F Barnes to be the greatest bowler and potentially the greatest test cricketer over Bradman from a weighted cricket statistical point of view. [[ 1. Barnes' performances are not comparable to Bradman. Batting Avge: Bradman 100.0, Pollock ( Next best) 61.0 RpT: Bradman 100.0, Weekes (Next best) 68.9 Bowling Avge: Avge: Lohmann 100.0 Barnes (Next best) 65.7 WpT: Barnes 100.0 Lohmann(Next best) 88.8. Murali (Third) 86.1. These numbers indicate how far ahead was Bradman to the others. Others were quite close to Barnes. Ananth: ]]Also, after warne and mcgrath, who would you consider to be the third best spinner of all time. [[ Question not clear. Ananth: ]] Finally, when picking a greatest side ever, would you look at how the players measured up against others in their era, or an overall point of view? I know it is not relevant to the article, but just curious for your opinion [[ Picking a greatest side is generally one's personal choice. I will pick my side irresepective of how the numbers measure up. Ananth: ]]

  • testli5504537 on May 4, 2012, 4:25 GMT

    Ananth, there has been some talk about strike rates (whenever Gavaskar is dragged into a debate, people try to trash him by referring to slow strike rate) in this forum.

    I looked through your past articles, but could not find an in-depth study on this topic in Test matches. In particular 1) who are the top 30% batsman sorted by strike rate 2) ordered by BQI groups, how did their strike rate behave 3) sorted by pitch conditions RPI/RSI etc. how did they perform 4) has this been a virtue or a vice from a single team's perspective (we know what crowds want, but they also want T20) - e.g. Atherton 185* in Johannesburg and Greatbatch 146* in Perth contrast with collapses in the great Calcutta and Adelaide tests against India by Aussies in less than a day, similarly India against Pak in Bangalore, following 267 by Younis Khan and Afridi onslaught 5) top batsmen who played extremely slowly (e.g. >150 balls and <30 runs) frequently...

    Gilchrist, Gayle, Ponting, Lara and Richards top picks. [[ As you know, only recently have I almost doubled my Balls played information segment of the Database. I now have nearly two-thirds of the Tests covered. So now it is possible to do analysis like what you have asked for. In fact I now even have a decent handle on the batsmen career strike rates by doing a pro-rata allocation of team balls for the non-available one third segment. That too I intend to even strengthen by using the available strike rate as a guidance factor to do to the pro-rate allocation. It is a miracle. But I have the actual strike rate for 5235 of Bradman's runs. Ananth: ]]

  • testli5504537 on May 4, 2012, 3:13 GMT

    @Boll: Actually Imran Khan should be considered the most important PLAYER of a test team. This analysis would have included his last few years when he really didn't bowl much and hence would have suffered in peer comparison. However he made it up through his batting, leadership and talent-finiding skills. His batting average is nearly 50% higher than Hadlee. In terms of BOWLER, Barnes/Murlai/Hadlee had the highest contribution to their respective teams over their entire career.

  • testli5504537 on May 4, 2012, 2:43 GMT

    @shrikanthk: I have seen enough comments from people where SRT has been ranked outside top 3 in even today's generation of Indian batsmen. Even in such selections, SMG would have to be in top 5.

    I wonder who these people are making such outrageous rankings. Let's think for ourselves. Is there any reasonable argument for excluding either SMG or SRT from the top 3 Indian batsmen of all time? NO.

    It doesn't matter what your criteria are. Be it raw numbers, quality of opposition, degree of comfort exuded at the crease, completeness of defensive and offensive technique, or even their intangible contributions to Indian cricket in terms of their legacy. You simply cannot look beyond these two. [[ I am with you all the way. I will only add, as my choice, RD into the group of two and make it a three-some and say all what you have said. To me, keeping any of the three out of the top-three group is travesty, Ananth: ]]

  • testli5504537 on May 3, 2012, 13:45 GMT

    Ah well, we`ve all been dragged a bit off topic at times..all I can say is (after 30 mins of looking at graph - actually pretty easy when you get into it) - look at Hadlee. Is he the most important player any test team has ever had? and then you add his batting exploits. Of course Murali is hard to go past for his bowling, statesmanship, and fame...and then Imran appears.

    Three men whose achievements have clearly been more than just leather-slinging.

  • testli5504537 on May 2, 2012, 18:03 GMT

    Ananth, fair enough. Though I was worried that you may put a filter like "ignore innings runs less than 15" which would not affect the top-100, or even 1000, but severely curtail the analytical significance of the output, if one has to extend calculations in different directions.

  • testli5504537 on May 2, 2012, 8:10 GMT

    Here is an out of context quote that can be applied to decisions made by umpires. It appears in The Times Opinion column by Daniel Finklestein - 'Times political columnist, football columnist and father of three but not necessarily in that order' - whom I particularly like for his weekly "Fink Tank" football stats column. " .. should realise that the number of mistakes you make is not only determined by the proportion of decisions you get wrong. It’s also determined by the number of decisions you make." [[ Very well said. One can say that, in Cricket, the number of runs you make or wickets you capture depends not just on your quality and skills, but on the number of matches you play. Ananth: ]]

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