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June 27, 2009
Test Batsmen Analysis: a follow-up
Posted by Ananth Narayanan at
in Batting

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Brian Lara remains on the top of the list as the best Test batsman since 1960
© AFP
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| The follow-up to a major article is always fraught with pitfalls. One has to make sure that the changes are not just cosmetic, nor be influenced by a point only because it is made by the majority, nor knee-jerk reactions and finally must significantly improve the original submission. Each change has to be carefully considered and implemented. Hence, I have taken the time required to peruse all comments (over 700 in all), sift amongst these, pick up the meaningful and valid ones and come out with a revised set of tables which are a great improvement and should satisfy most readers. Let me summarise the changes below.
These changes are given in order of importance and the impact on the original submission.
1. The Match Performance points are divided by the number of innings played rather than the matches played. This will impact the calculations significantly and benefit players such as Richards who have played the second innings infrequently.
2. The Scoring rate measure has been dropped. This is again a significant change since it gets all the batsmen on an equal keel and is fair to all.
3. Instead a new measure, the Consistency index has been added. This information is available across years and for all the batsmen. Details of the calculations for this measure have been given elsewhere.
4. The weight for %-Team Score has been reduced from 10 to 5. This is fair to players who have played in relatively stronger teams. To those who have questioned this measure, for flimsy reasons, let me say that the highest value in this measure is that of Bradman, batsman extraordinary, in very strong Australian teams.
5. In Match Performance calculations, the Bowling quality measure is now Career-to-date instead of final career figures. This is also quite significant since the early Test figures for many bowlers is quite different to their career-end figures. The other benefit is that the Ratings figures calculated do not vary during subsequent calculations.
6. The Bowling quality is determined by a combination of Bowling Average and Strike Rate. This is based on Arjun Hemnani's excellent suggestion. This is fair to bowlers such as Waqar Younis, Marshall, Donald et al who are great strike bowlers but concede runs.
7. The Pitch Index calculations have undergone a very significant change. Now I am determining the Pitch index, not from the team scores and wickets, but using only the scores of the top 7 (or applicable) batsmen of each innings. This ensures that both the teams make their contributions to the index value. Also that the late order wickets do not distort the picture. I have also used the RpI rather than RpW. Makes lot more sense.
8. I had taken into account the relative team strengths in the Result parameter. Now I have extended this to the Home/Away parameter also. It means that instead of giving the benefit to the Away team automatically, now I take into account the relative team strengths. In other words, if Australia or India tour Bangladesh they will not automatically get the Away bonus. For Bangladesh touring, say, Sri Lanka, the Away bonus will be suitably increased.
9. "The Runs added with late order batsmen" measure's weight has been reduced from 1.00-1.30 to 1.00-1.20. This has been done to ensure the correct weight for the more important measures such as Pitch type, Bowler's quality et al.
10. Finally I have introduced a new measure called R-Factor. More on this later.
Consistency Index:
The Consistency index has been calculated as follows.
The career of each batsman was split into 5-Test slices. His 5-Test performance (Runs per innings used rather than Batting average so that the impact of not outs is negated) was measured against the Career RpI figures and the number of below-average performance slices (below 75%) used to determine the more significant part of the Consistency Index. 5-Test slices have been used since these represent a reasonable number to determine consistency. There is sufficient slack within 5 Tests to recover from bad form.
The other part of the Consistency index is based on the % of single digit dismissals. Together these two determine the Consistency record of the batsman.
The most consistent batsman is Alistair Cook of England, who has had no below-average slice and only 17.9% of single-figure dismissals. He gets an Index value of 4.28. Ross Taylor of New Zealand is also very consistent as, surprisingly, is Afridi. Amongst top batsmen, Hobbs and Sutcliffe are right at the top.
At the other end are Karthik, with 1.79 points, Wishart with 1.88 points, Richie Benaud with 2.05 points et al.
Separate tables for different eras:
I have also separated the tables into two independent ones. The first is for batsmen who started their career before 31 December 1959 and the other for batsmen who started their career after 1 January 1960. These dates have been decided after a lot of deliberations, summarized below.
I had earlier decided on 1 January 1940 as the cut-off date. Unfortunately very few Tests had been played upto that point (274 out of 1920) and there are not enough batsmen. Even 1 January 1960 cut-off does not give us enough Tests. However 483 Tests out of 1920 is a far better share.
The other key factor is that the 1950s (and some might say, the 1960s) really belonged to the old fashioned method of playing Test cricket and a Hutton or Barrington or Hanif Mohommad or Vijay Hazare would very easily fit in with the first era. Anyhow whatever date I take for cut-off there would be objections and this is a good enough point. It is also 50 years back.
I have also followed the separation very strictly, with debut match as the only criterion, knowing fully well that some players might have made their debut in 1958-59 but played most of their matches after 1960. Jarman who made his debut in Test no 483 (started on 19 December 1959) is placed in the first era while Durrani who made his debut in Test no 484 (started on 1 January 1960) is placed in the second era, and so on. I have to work on certain guidelines and have to be true to those. The number of players in the first era is a healthy 1124. The second era contains 1435 players.
I have also implemented another one of Arjun's suggections. That is to give a simple ratio between 2.0 and 0.0 against each batsman, based on a suitable mean, so that their position can be determined instantly and comparisons become easier. For this a value of 35.0 has been used as the notional mean (it does not matter what this figure is). Readers will instantly note the value of this single figure when they peruse the tables.
Let us now look at the revised tables.
The best Test batsmen: 1960-2009
No. Cty Batsman Ratio Total Match Bat Runs Cons %-TS R-Factor
Pts Perf Avge Pts Idx Pts
1. Win Lara B.C 1.44 50.26 (22.63 10.43 11.93 3.37 1.90)
2. Ind Tendulkar S.R 1.41 49.24 (20.44 10.69 12.85 3.70 1.55)
3. Aus Ponting R.T 1.38 48.24 (21.54 10.85 10.88 3.54 1.44)
4. Ind Dravid R 1.31 45.98 (19.93 10.11 10.92 3.50 1.51)
5. Ind Gavaskar S.M 1.31 45.83 (20.52 10.02 10.12 3.49 1.67)
6. Saf Kallis J.H 1.30 45.65 (19.92 10.56 10.23 3.43 1.51)
7. Win Richards I.V.A 1.28 44.97 (21.81 9.90 8.65 3.11 1.50)
8. Aus Border A.R 1.28 44.83 (18.38 10.07 11.16 3.79 1.44)
9. Aus Waugh S.R 1.27 44.52 (18.35 10.12 10.90 3.86 1.28)
10. Slk Sangakkara K.C 1.26 43.98 (22.20 10.33 6.73 3.12 1.61)
11. Slk Jayawardene D.P 1.25 43.81 (20.59 10.00 8.15 3.49 1.58)
12. Pak Javed Miandad 1.25 43.62 (19.53 10.42 8.83 3.24 1.61)
13. Aus Hayden M.L 1.24 43.49 (20.77 9.83 8.54 2.93 1.42)
14. Pak Mohammad Yousuf 1.24 43.35 (21.36 10.60 6.81 2.98 1.60)
15. Pak Inzamam-ul-Haq 1.23 43.05 (19.39 9.71 8.91 3.56 1.47)
16. Aus Chappell G.S 1.23 42.91 (20.21 10.54 7.01 3.57 1.58)
17. Saf Pollock R.G 1.18 41.37 (22.20 11.88 2.22 3.42 1.66)
18. Win Chanderpaul S 1.18 41.21 (18.59 9.55 8.56 3.04 1.48)
19. Eng Gooch G.A 1.17 41.02 (18.85 8.45 8.75 3.41 1.56)
20. Saf Smith G.C 1.17 40.78 (20.14 9.46 6.39 3.31 1.49)
Lara continues to stay in no.1 position but his lead over Tendulkar has been considerably reduced (only around 2%). Ponting is at third position at a similar distance from Tendulkar. In fourth and fifth place are Dravid and Gavaskar. Then we get Kallis, who can ever deny the contributions he has made without fuss. Now comes Richards, probably correctly placed in the Top-10. He could have been in the Top-5 with no complaints. Then we have the two great Australian batsmen, Border and Steve Waugh. The incomparable Sangakkara completes the top-10.
Jayawardene follows next and then the fighter-extraodinary, Javed Miandad. I am happy that three top-class Pakistani batsmen, Miandad, Mohd Yousuf and Inzamam occupy 3 of the next 4 places, Hayden occupying the 12th place. Greg Chappell, Greame Pollock and Chanderpaul are correctly placed in the Top-20 which is completed by Graham Gooch and Greame Smith.
Lara's ratio is 1.44, Sangakkara's 1.26 and Greame Smith's 1.17. It can be seen that the top-10 batsmen have a spread of only 12.5% and the spread between 11 and 20 is only 7%. The only way to treat these tables is to look at these players as "First 1/2/5/10/20 ... amongst equals".
To view the complete list, please click here
Given below is the support table. The data is self-explanatory. For the two Consistency index related columns, explanations have been given below.
The best Test batsmen ever: 1960-2009 - Support data
SNo. Cty Batsman Inns Rating Runs Bat ( Adj) Consistency %-TS
Pts Avge 1 2
1. Win Lara B.C 232 50.26 11953 52.15 (0.99) 26.9% 26.7% 19.0%
2. Ind Tendulkar S.R 261 49.24 12773 53.46 (0.98) 25.0% 23.8% 15.5%
3. Aus Ponting R.T 221 48.24 10956 54.26 (0.97) 26.9% 20.8% 14.4%
4. Ind Dravid R 233 45.98 10823 50.54 (0.96) 29.6% 21.9% 15.1%
5. Ind Gavaskar S.M 214 45.83 10122 50.10 (0.98) 20.0% 25.7% 16.7%
6. Saf Kallis J.H 221 45.65 10277 52.79 (0.97) 30.8% 20.4% 15.1%
7. Win Richards I.V.A 182 44.97 8540 49.52 (0.99) 29.2% 25.3% 15.0%
8. Aus Border A.R 265 44.83 11174 50.33 (1.00) 25.8% 24.2% 14.4%
9. Aus Waugh S.R 260 44.52 10927 50.58 (0.99) 21.9% 24.6% 12.8%
10. Slk Sangakkara K.C 132 43.98 6764 51.65 (0.94) 37.5% 18.9% 16.1%
11. Slk Jayawardene D.P 167 43.81 8254 50.02 (0.94) 20.0% 22.8% 15.8%
12. Pak Javed Miandad 189 43.62 8832 52.08 (0.99) 32.0% 20.1% 16.1%
13. Aus Hayden M.L 184 43.49 8626 49.17 (0.97) 42.9% 19.6% 14.2%
14. Pak Mohammad Yousuf 134 43.35 6770 53.00 (0.96) 37.5% 22.4% 16.0%
15. Pak Inzamam-ul-Haq 200 43.05 8830 48.56 (0.98) 16.7% 23.5% 14.7%
16. Aus Chappell G.S 151 42.91 7110 52.70 (0.98) 17.6% 22.5% 15.8%
17. Saf Pollock R.G 41 41.37 2256 59.38 (0.97) 20.0% 24.4% 16.6%
18. Win Chanderpaul S 206 41.21 8576 47.76 (0.97) 33.3% 25.2% 14.8%
19. Eng Gooch G.A 215 41.02 8900 42.27 (0.99) 25.0% 24.2% 15.6%
20. Saf Smith G.C 135 40.78 6343 47.28 (0.94) 26.7% 22.2% 14.9%
No of below-average 5-Test slices
Consistency 1 % = ---------------------------------
Total number of 5-Test slices
No of single digit dismissals
Consistency 2 % = -----------------------------
Total number of innings
To view the complete list, please click here
The best Test batsmen: 1877-1959
SNo. Cty Batsman Ratio Total Match Bat Runs Cons %-TS R-Factor
Pts Perf Avge Pts Idx Pts
1. Aus Bradman D.G 1.97 69.08 (36.62 19.35 6.91 3.70 2.50)
2. Eng Hobbs J.B 1.36 47.57 (23.93 12.34 5.49 3.99 1.82)
3. Win Sobers G.St.A 1.29 45.03 (20.67 11.48 8.03 3.28 1.58)
4. Eng Hutton L 1.27 44.37 (20.72 11.35 6.93 3.55 1.83)
5. Eng Barrington K.F 1.26 44.27 (20.97 11.71 6.81 3.08 1.70)
6. Win Headley G.A 1.25 43.86 (24.07 12.00 2.18 3.45 2.16)
7. Eng Sutcliffe H 1.25 43.62 (21.88 11.61 4.52 3.88 1.72)
8. Eng Hammond W.R 1.24 43.49 (19.78 11.27 7.31 3.43 1.70)
9. Win EdeC Weekes 1.22 42.69 (21.16 12.21 4.44 3.11 1.77)
10. Win Walcott C.L 1.16 40.67 (20.29 11.75 3.73 3.30 1.61)
11. Aus Harvey R.N 1.16 40.50 (19.22 9.92 6.18 3.56 1.62)
12. Win Kanhai R.B 1.13 39.44 (18.86 9.37 6.23 3.55 1.43)
13. Eng May P.B.H 1.12 39.14 (19.65 9.63 4.48 3.75 1.63)
14. Eng Cowdrey M.C 1.12 39.05 (18.00 8.75 7.65 3.22 1.43)
15. Eng Compton D.C.S 1.10 38.64 (17.88 10.06 5.70 3.43 1.57)
16. Saf Nourse A.D 1.08 37.94 (19.28 10.61 2.92 3.30 1.82)
17. Eng Dexter E.R 1.07 37.32 (18.15 9.45 4.51 3.75 1.46)
18. Aus Simpson R.B 1.06 37.12 (18.25 9.21 4.87 3.28 1.52)
19. Win Worrell F.M.M 1.06 37.10 (18.10 10.14 3.86 3.50 1.49)
20. Aus Morris A.R 1.03 36.10 (18.45 9.68 3.53 2.99 1.45)
Bradman is on top with a Rating value of 69.08 (and ratio of 1.97). He is followed, at a distance, by Hobbs and Sobers. Hutton and Barrington complete the top-5. The next 5 positions are monopolized by the West Indians, Headley, Weekes and Walcott and two great English batsmen, Sutcliffe and Hammond.
If we take Bradman's numbers away, the spread between 2 and 10 is a managable 14%.
I would appreciate if readers digest the tables before making the usual "xyz is better than abc" or "how can pqr be so low (or high)" or "". I will again repeat that intangible and non-measurable factors have no place in this analysis. This analysis has the heart of a cricket lover but the mind of a cricket analyst are behind it.
To view the complete list, please click here
Given below is the support table. The data is self-explanatory.
The best Test batsmen ever: 1877-1959 - Support data
SNo. Cty Batsman Inns Rating Runs Bat ( Adj) Consistency %-TS
Pts Avge 1 2
1. Aus Bradman D.G 80 69.08 6996 96.75 (0.97) 20.0% 17.5% 25.0%
2. Eng Hobbs J.B 102 47.57 5410 61.68 (1.08) 16.7% 12.7% 18.2%
3. Win Sobers G.St.A 160 45.03 8032 57.40 (0.99) 31.6% 19.4% 15.8%
4. Eng Hutton L 138 44.37 6971 56.73 (1.00) 25.0% 17.4% 18.3%
5. Eng Barrington K.F 131 44.27 6806 58.55 (1.00) 37.5% 19.8% 17.0%
6. Win Headley G.A 40 43.86 2190 60.02 (0.99) 25.0% 20.0% 21.6%
7. Eng Sutcliffe H 84 43.62 4555 58.04 (0.96) 18.2% 14.3% 17.2%
8. Eng Hammond W.R 140 43.49 7249 56.35 (0.96) 29.4% 17.1% 17.0%
9. Win EdeC Weekes 81 42.69 4455 61.06 (1.04) 30.0% 24.7% 17.7%
10. Win Walcott C.L 74 40.67 3798 58.75 (1.04) 33.3% 17.6% 16.1%
11. Aus Harvey R.N 137 40.50 6149 49.61 (1.02) 18.8% 21.9% 16.2%
12. Win Kanhai R.B 137 39.44 6227 46.84 (0.99) 25.0% 17.5% 14.3%
13. Eng May P.B.H 106 39.14 4537 48.14 (1.03) 7.7% 25.5% 16.3%
14. Eng Cowdrey M.C 188 39.05 7624 43.74 (0.99) 26.1% 25.0% 14.3%
15. Eng Compton D.C.S 131 38.64 5807 50.30 (1.00) 25.0% 20.6% 15.7%
16. Saf Nourse A.D 62 37.94 2960 53.07 (0.99) 28.6% 21.0% 18.2%
17. Eng Dexter E.R 102 37.32 4502 47.23 (0.99) 16.7% 18.6% 14.6%
18. Aus Simpson R.B 111 37.12 4869 46.04 (0.98) 25.0% 24.3% 15.2%
19. Win Worrell F.M.M 87 37.10 3860 50.71 (1.02) 10.0% 29.9% 14.9%
20. Aus Morris A.R 79 36.10 3533 48.42 (1.04) 33.3% 25.3% 14.5%
No of below-average 5-Test slices
Consistency 1 % = ---------------------------------
Total number of 5-Test slices
No of single digit dismissals
Consistency 2 % = -----------------------------
Total number of innings
To view the complete list, please click here
The significant changes to the tables are summarized below. Most of these should make the tables more acceptable to many readers.
1. All batsmen are treated across years uniformly with the same set of parameters.
2. Consistency amongst batsmen has been recognized well. Note the high consistency figures of Tendulkar, Border, Steve Waugh et al.
3. Performances of lower ranked teams have been recognized more.
4. The quality of bowling faced has a much sharper definition. I may very well do a separate article on this fascinating aspect.
5. The gap between Lara and Tendulkar has narrowed to 2%.
6. Richards has moved up significantly.
7. Steve Waugh and Alan Border have moved up.
8. The three top Pakistani batsmen are reasonably well placed.
9. There are no major changes in the first era other than the revised set of batsmen included in this set.
R-Factor:
The points for all the measures add up to 90. The balance of 10 points has been reserved for R-Factor, expanding to Reader-Factor. The readers have complained that many points have not been taken into account. These points range from ridiculous, silly, absurd, obscure to relevant, sensible, valid and crystal-clear. Of course no analysis can take care of all such factors, especially as these are mostly intangible and non-measurable. Hence I have invented the R-Factor. It is your tool to be used the way you want. Convert the tables to Excel sheets, plug in your own R-Factor values and do what you want. Frame your results, circulate amongst yourselves and in general, have a ball. My only request to all is, whatever you do, do not send anything you have done on this to me.
You may, of course, ignore it completely.
Some of the factors I have been informed as not having considered are outlined below.
- Playing in a good team.
- Playing in a poor team.
- Expectations of a billion people.
- Coming from an island of population of 7500.
- Lack of support.
- Short pitched bowling.
- Lack of helmets, thigh guards, chest support etc.
- Injuries.
- Selectors' foibles.
- Terrorizing bowlers.
- Too much cricket.
- Too little cricket.
et al.
Only comments which add value to the article and derived conclusions will be published. Comments which are repetitive, say the same things ad nauseum, which are with the theme of "abc is the best, not pqr" type, which say, in different forms, "if you take away this measure, xyz will be on top", "abc is better than pqr because his average against ... is higher" type of comments, "there is no change from the earlier table" after a cursory 2-minute perusal etc will not be published. I gave a lot of leeway last time in publishing of comments. This time I will weed out such comments from the beginning. They are coming in the way of serious readers from appreciating the article and the user responses.
I want to emphasize once again, whether your comment is published or not is in your hands. Another important point. Anonymous comments will not be published.
My sincere thanks to Arjun Hemnani's whose quality ideas were the foundation for a number of these changes. My thanks to others like Jack (Jagdeep Singh), Ashik, Shankar et al.
Comments (132)
June 22, 2009
ICC World Twenty20 - an analyst's view
Posted by Ananth Narayanan at
in Twenty20

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Umar Gul's 5 for 6 against New Zealand was by far the best bowling performance of the tournament
© Associated Press
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| The T20 World Cup has been covered extensively in the Cricinfo Records section and by Rajesh's review. This article looks at the areas not covered by these two excellent reviews. If there is an overlap, worse things have happened.
The first three tables relate to the best Batting and Bowling performances during the World Cup. These are based on the Ratings calculations. As I have already explained, these Ratings calculations are totally different to the Test/ODI Ratings. There I have adopted the bottom-up approach insofar as I determine base points based on runs scored or wickets captured and then apply various multiplicative indices on these base points.
In T20s, I have adopted a top-down approach. The Par Score is determined for each innings, be it the target-setting one or the chasing one. Then the team performance is worked out, to what extent the target score has been exceeded or fallen short, the extent of resources (runs and balls) used and the result. Afterwards, the batting and bowling function contributions are worked out and these allotted points further allotted amongst the batsmen and bowlers of each team. This is the basis for the Maruti-Cricinfo Ratings and more details are available there.
The advantage is that all Rating points are linked to the contribution to the team cause and scoring rates and bowling accuracy are incorporated to their high level of deservedness.
Top 20 Players during the T20 World Cup 2009
No Player Ctry M RtgPts Batting Bowling
1 Shahid Afridi Pak 7 841.36 302.43 + 538.93
2 Bravo D.J Win 6 619.62 260.67 + 358.96
3 Umar Gul Pak 7 585.95 33.92 + 552.02
4 Dilshan T.M Slk 7 540.99 536.56 + 4.43
5 Kallis J.H Saf 5 502.32 334.11 + 168.21
6 Mendis B.A.W Slk 7 500.90 12.10 + 488.80
7 Saeed Ajmal Pak 7 457.70 0.00 + 457.70
8 van der Merwe R.E Saf 6 455.27 7.43 + 447.85
9 Malinga S.L Slk 7 454.47 11.51 + 442.96
10 Gayle C.H Win 5 448.81 308.65 + 140.16
11 Jayasuriya S.T Slk 7 436.80 305.69 + 131.11
12 Simmons L.M.P Win 5 429.77 267.61 + 162.16
13 Muralitharan M Slk 7 418.76 6.02 + 412.74
14 Mathews A.D Slk 7 364.71 151.10 + 213.60
15 Parnell W.D Saf 6 364.09 0.00 + 364.09
16 Steyn D.W Saf 6 360.85 0.00 + 360.85
17 Abdul Razzaq Pak 4 336.75 46.26 + 290.50
18 Mohammad Aamer Pak 7 335.32 0.00 + 335.32
19 McCallan W.K Ire 5 331.66 23.37 + 308.28
20 Broad S.C.J Eng 5 312.40 71.48 + 240.92
These are based on the individual batting and bowling performances during the World Cup.
There is no doubt that Shahid Afridi was the most influential player, by a few miles, during the World Cup. He is ahead of Dwayne Bravo by over 200 points. Umar Gul is third and Dilshan is fourth, followed by kallis. The award to Dilshan was probably a sympathy vote. It cannot be justified otherwise.
This table is a subsequent addition based on a reader comment and should have rightfully been there at the beginning itself.
1. Top 20 Bowling performances during the T20 World Cup 2009
No MtId Year Player Name For Vs <-Analysis-> RtgPts
1.0107 2009 Umar Gul Pak Nzl 3.0-0- 6-5 226.1 Won
2.0099 2009 van der Merwe R.E Saf Nzl 4.0-0-14-2 133.8 Won
3.0116 2009 Abdul Razzaq Pak Slk 3.0-0-20-3 133.6 Won
4.0114 2009 Shahid Afridi Pak Saf 4.0-0-16-2 130.0 Won
5.0103 2009 Parnell W.D Saf Eng 3.5-0-14-3 119.6 Won
6.0104 2009 Malinga S.L Slk Pak 4.0-0-17-3 118.9 Won
7.0107 2009 Abdul Razzaq Pak Nzl 3.3-1-17-2 118.8 Won
8.0112 2009 Mendis B.A.W Slk Nzl 3.0-0- 9-3 117.2 Won
9.0113 2009 Botha J Saf Ind 4.0-0-16-3 112.0 Won
10.0115 2009 Mendis B.A.W Slk Win 4.0-0- 9-2 109.3 Won
11.0098 2009 Shahid Afridi Pak Hol 4.0-0-11-4 108.5 Won
12.0101 2009 Khan Z Ind Ire 3.0-0-19-4 106.7 Won
13.0110 2009 Saeed Ajmal Pak Ire 4.0-0-19-4 106.2 Won
14.0105 2009 Bravo D.J Win Ind 4.0-0-38-4 105.0 Won
15.0102 2009 McCullum N.L Nzl Ire 3.0-0-15-3 104.4 Won
16.0096 2009 Johnston D.T Ire Bng 4.0-0-20-3 104.0 Won
17.0111 2009 Bravo D.J Win Eng 4.0-0-30-2 103.8 Won
18.0106 2009 Parnell W.D Saf Win 4.0-0-13-4 102.2 Won
19.0099 2009 Butler I.G Nzl Saf 4.0-0-13-2 102.0
20.0105 2009 Edwards F.H Win Ind 4.0-0-24-3 100.8 Won
Umar Gul's amazing 5 for 6 (possibly equivalent to Vaas' 8 for 19 in ODIs) leads by such a huge margin that it is very likely that this would remain the best T20 bowling performance for years to come. The quality of wickets and the bowling accuracy are unbelievable.
The MOM award to van dear Merwe's economical spell against New Zealand surprised me until I found out that this is rated as the second best bowling performance. The bowling economy was aided by the two key wickets, that too in a low-scoring game.
Pakistan, Sri Lanka and South Africa, who were the best bowling teams in the tournament, monopolize the top-10 positions. Zaheer Khan, McCullum, Bravo and Broad lead for their respective countries.
2. Top 20 batting performances during the T20 World Cup 2009
No MtId Year Player Name For Vs Runs Balls RtgPts
1.0092 2009 Gayle C.H Win Aus 88 50 182.8 Won
2.0115 2009 Dilshan T.M Slk Win 96 57 151.7 Won
3.0100 2009 Jayasuriya S.T Slk Win 81 47 151.4 Won
4.0106 2009 Simmons L.M.P Win Saf 77 50 137.0
5.0100 2009 Dilshan T.M Slk Win 74 47 132.0 Won
6.0105 2009 Bravo D.J Win Ind 66 36 128.8 Won
7.0116 2009 Sangakkara K.C Slk Pak 64 52 115.6
8.0092 2009 Fletcher A.D.S Win Aus 53 32 111.8 Won
9.0091 2009 Ryder J.D Nzl Sco 31 12 111.8 Won
10.0108 2009 Jayawardene D.P.M.D Slk Ire 78 53 111.5 Won
11.0094 2009 de Villiers A.B Saf Sco 79 34 109.5 Won
12.0102 2009 Redmond A.J Nzl Ire 63 30 106.4 Won
13.0116 2009 Shahid Afridi Pak Slk 54 40 105.0 Won
14.0105 2009 Yuvraj Singh Ind Win 67 43 100.8
15.0114 2009 Kallis J.H Saf Pak 64 54 97.2
16.0097 2009 Dilshan T.M Slk Aus 53 32 96.4 Won
17.0109 2009 Pietersen K.P Eng Ind 46 27 95.8 Won
18.0106 2009 Gibbs H.H Saf Win 55 35 92.8 Won
19.0114 2009 Shahid Afridi Pak Saf 51 34 91.2 Won
20.0095 2009 Pietersen K.P Eng Pak 58 38 90.2 Won
Readers might wonder why Gayle's innings is rated higher than Dilshan's semi-final classic. The reason is that it was a high-pressure chasing innings, the Australian bowling attack was, on paper, much stronger and the result was a much closer one. If Gayle had failed, West Indies would have lost. If Dilshan had scored 30 runs fewer, Sri Lanka might very well have won.
The Top-10 table has 9 entries from the Sri Lankan and West Indian batsmen, with Dilshan accounting for two. The other entry is the surprising cameo of Ryder. Ryder's inclusion is a vindication of the Ratings methodology in that a match-winning cameo's importance in a shortened match with a stiff run-chase has been recognised.
de Villiers' explosive 79, Yuvraj's innings against West Indies, Afridi's top-class 50 against Sri Lanka and Pietersen's cameo against India lead for their respective countries.
3. 10-over analysis: by second half progress
No.I MtId Team Score Vs Runs
1.1 0094 Saf 88/2 to 211/ 5 (20.0) vs Sco 123 Won
2.1 0092 Aus 63/3 to 169/ 7 (20.0) vs Win 106 Lost
3.1 0102 Nzl 94/2 to 198/ 5 (20.0) vs Ire 104 Won
4.1 0093 Ind 76/1 to 180/ 5 (20.0) vs Bng 104 Won
5.1 0105 Ind 54/3 to 153/ 7 (20.0) vs Win 99 Lost
6.1 0106 Saf 86/1 to 183/ 7 (20.0) vs Win 97 Won
7.2 0100 Win 81/4 to 177/ 5 (20.0) vs Slk 96 Lost
8.1 0095 Eng 90/2 to 185/ 5 (20.0) vs Pak 95 Won
9.2 0105 Win 61/2 to 156/ 3 (18.4) vs Ind 95 Won
10.1 0098 Pak 81/2 to 175/ 5 (20.0) vs Hol 94 Won
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47.2 0098 Hol 53/4 to 93/10 (17.3) vs Pak 40 Lost
48.2 0101 Ind 75/0 to 113/ 2 (15.3) vs Ire 38 Won
49.2 0112 Nzl 77/4 to 110/10 (17.0) vs Slk 33 Lost
50.2 0094 Sco 50/6 to 81/10 (15.4) vs Saf 31 Lost
51.2 0107 Pak 73/4 to 100/ 4 (13.1) vs Nzl 27 Won
South Africa leads the pack with an immense advance of 123 runs, albeit against Scotland. Australia advanced by over 100 runs against West Indies, but lost. New Zealand and India advanced by over 100 runs against weak teams. Note West Indies' progress against Sri Lanka for the loss of only one wicket.
4. 10-over analysis: by 10-over score
No.I MtId Team 10-over score
1.2 0092 Win 121/0 vs Aus Won
2.1 0100 Slk 105/0 vs Win Won
3.1 0102 Nzl 94/2 vs Ire Won
4.2 0090 Hol 91/3 vs Eng Won
5.1 0095 Eng 90/2 vs Pak Won
6.1 0090 Eng 89/0 vs Hol Lost
7.1 0094 Saf 88/2 vs Sco Won
8.2 0097 Slk 86/2 vs Aus Won
9.1 0106 Saf 86/1 vs Win Won
10.1 0104 Slk 86/1 vs Pak Won
...
...
...
47.2 0098 Hol 53/4 vs Pak Lost
48.2 0094 Sco 50/6 vs Saf Lost
49.2 0103 Saf 50/1 vs Eng Won
50.1 0101 Ire 48/5 vs Ind Lost
51.1 0103 Eng 47/3 vs Saf Lost
Only two teams crossed 100 runs in 10 overs, surprisingly both against top teams, and both without losing a wicket. For me the most amazing entry here is England's 89 for no loss against Holland, looking likely to score 200, adding only 73 in the next 10 overs and losing.
5. Table of 20-run overs
No MtId I For Bowler Name Vs O Runs % Scr Max
1.0092 2 Aus Lee B Win 5 27 15.7% 15
2.0091 2 Sco Stander J.H Nzl 6 22 24.4% 6
3.0094 1 Sco Watson R.R Saf 17 22 10.4% 20
4.0094 1 Sco Stander J.H Saf 5 21 10.0% 20
5.0095 1 Pak Yasir Arafat Eng 5 21 11.4% 20
6.0097 1 Slk Muralitharan M Aus 16 21 13.2% 20
7.0096 1 Ire Cusack A.R Bng 20 20 14.6% 20
8.0091 2 Sco Wright C.M Nzl 3 20 22.2% 6
9.0100 1 Win Edwards F.H Slk 10 20 10.4% 20
10.0110 1 Ire Johnston D.T Pak 4 20 12.6% 20
11.0112 2 Slk Jayasuriya S.T Nzl 2 20 18.2% 17
Brett Lee's disastrous over against West Indies, signalling the slide of Australia, was the most expensive of the World Cup. Stander is the only bowler to have delivered two 20-plus overs. Muralitharan is the surprise bowler in this list.
6. Great finishes: by runs scored during last 5 overs
No I MtNo Team Max Runs
1. 1 0094 Saf 128 to 211 (20.0) 83 vs Sco Won
2. 1 0093 Ind 113 to 180 (20.0) 67 vs Bng Won
3. 1 0097 Aus 94 to 159 (20.0) 65 vs Slk Lost
4. 1 0098 Pak 115 to 175 (20.0) 60 vs Hol Won
5. 1 0115 Slk 98 to 158 (20.0) 60 vs Win Won
6. 1 0116 Slk 79 to 138 (20.0) 59 vs Pak Lost
7. 1 0102 Nzl 140 to 198 (20.0) 58 vs Ire Won
8. 1 0092 Aus 111 to 169 (20.0) 58 vs Win Lost
9. 1 0105 Ind 97 to 153 (20.0) 56 vs Win Lost
10. 2 0109 Ind 94 to 150 (20.0) 56 vs Eng Lost
The top two last 5-over blitzes are by the top teams against weak teams. The real move came in the Australia match against Sri Lanka, although they lost the match. Sri Lanka had a similar spurt against West Indies, and won. India had two great finishes but lost both matches. Note also that West Indies has conceded 55-plus runs three times during the last 5 overs. The first 9 finishes are in the first innings.
Note entries 5 and 6. Sri Lanka had two great finishes. The first took them to the final but the second was not enough to win the final.
7. The slow innings (Minimum 20 balls)
No MtId Player Name For Runs Balls S/R Vs
1.0105 Dhoni M.S Ind 11 23 47.8 Win
2.0115 Jayasuriya S.T Slk 24 37 64.9 Win Won
3.0096 Raqibul Hasan Bng 13 20 65.0 Ire
4.0099 Taylor R.L Nzl 22 31 71.0 Saf
5.0109 Jadeja R.A Ind 25 35 71.4 Eng
6.0098 Kervezee A.N Hol 21 29 72.4 Pak
7.0104 2009 Misbah-ul-Haq Pak 21 28 75.0 Slk
8.0094 2009 Haq R.M Sco 15 20 75.0 Saf
9.0107 2009 Styris S.B Nzl 22 29 75.9 Pak
10.0096 2009 Tamim Iqbal Bng 22 28 78.6 Ire
Dhoni's lacklustre effort against West Indies, leading this pack of forgettable innings, was one of the reasons for that loss and is indicative of his loss of form and confidence. Despite the WC 2007 win it is obvious that India in general and Dhoni in particular have not mastered the T20 game. Dhoni himself plays the T20 matches often like an ODI matches. Incidentally Dhoni's is the only innings with a 1970s Test match strike rate of below 50.
In hindsight, Jayasuriya's slow innings, which looked bad when watched live, looks like a far better innings than to seemed because of the excellent opening partnership and it allowed Dilshan to play the way he played. This is also the only match which was won.
Enough has been written about Jadeja's incomprehensible innings. The mistake was not his, he was unfortunately put in that situation.
8. Great all-round displays (>20 runs and 1+ wicket(s)
No MtId Year Player Name For Vs Runs <-Analysis->
1.0105 2009 Bravo D.J Win Ind 66 (36) 4.0-0-38-4 Won
2.0100 2009 Simmons L.M.P Win Slk 29 (19) 3.0-0-19-4
3.0103 2009 Kallis J.H Saf Eng 57 (49) 3.0-0-20-2 Won
4.0114 2009 Shahid Afridi Pak Saf 51 (34) 4.0-0-16-2 Won
5.0116 2009 Shahid Afridi Pak Slk 54 (40) 4.0-0-20-1 Won
6.0096 2009 Mashrafe Mortaza Bng Ire 33 (16) 4.0-0-30-2
7.0093 2009 Naeem Islam Bng Ind 28 (17) 3.0-0-32-2
8.0109 2009 Jadeja R.A Ind Eng 25 (35) 4.0-0-26-2
9.0094 2009 Morkel J.A Saf Sco 24 (11) 1.4-0-15-2 Won
10.0090 2009 ten Doeschate R.N Hol Eng 22 (17) 4.0-0-35-2 Won
11.0102 2009 Cusack A.R Ire Nzl 20 (12) 4.0-0-43-2
12.0107 2009 Shahid Afridi Pak Nzl 29 (18) 4.0-0-17-1 Won
13.0099 2009 Kallis J.H Saf Nzl 24 (23) 3.0-0-17-1 Won
Bravo's all-round excellence against India is unmatched and the best in T20 history. A furious 50 and 4 wickets, unbelievable. Lendl Simmons' wonderful performance, unfortunately, was not enough to win. Note also that Shahid Afridi has three all-round displays. It is interesting to note that many of these all-round performances have finished on the losing side. Also of interest is that Jadeja, barring the 15 dot balls, had a pretty good match against England.
9. Team performance summary
Irrespective of the Final result, we should consider the two finalists as the two top teams. The winner, Pakistan, the best T-20 team in the world, should be the first amongst these two equals.
Similarly the four teams which exited after the preliminary league should be dumped at the end, with Netherlands, with an excellent win over England, being the first amongst these four teams.
The other six teams are led by South Africa and followed by West Indies, England, New Zealand, Ireland and India in that order based on their performances.
The exit of India, no doubt causing huge losses to the Indian corporates and Indian players, however, rejuvenated the tournament since it enabled the emphasis to return to the game, brought to the forefront less-fancied but gifted teams and a level of media tranquility. The two finalists epitomised what is right with the game. They richly deserved their places and Pakistan, a single hit away from winning the 2007 final, were most deserving winners.
My next posting will be the follow-up article to the Test Batsmen one.
Comments (28)
June 9, 2009
In search of the balanced allrounder
Posted by Ric Finlay at
in Allrounders

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Ian Botham: as close as you can get to the most balanced allrounder
© Getty Images
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| The beauty of cricket lies in the variety of different roles players can assume when they play the game. I contend there exists a continuum, with specialist bowlers at one end, specialist batsmen at the other, and a range of different types of allrounder in between. The terms “bowling allrounder” and “batting allrounder” are often used in reference to particular players, and it follows that in between these two categories, there must be a group of players whose allround capabilities are perfectly balanced; that is, they bat equally well as they bowl.
If my continuum does exist, then it should be possible to quantify each player’s position along this line, and to determine who the “perfectly balanced” allrounders have been in the game’s history.
Concerning myself with just Test cricket, I started with two extremes: the “purest” batsman was surely Brian Lara, who scored 11,953 runs in 131 Tests, but failed to take a wicket, the only scorer of 10,000 runs to do so. At the other end of the scale, we have South Africa’s Mfuneko Ngam, who was only trusted with the bat once in his three Tests, scoring 0 not out, but was good enough as a bowler to take 11 wickets.
Of the 2551 Test players at the time of writing, 1085 failed either to score a run or take a wicket, and these may be regarded as our specialist players (either batsmen or bowlers), leaving 1467 players who can theoretically be regarded to some degree as allrounders. Readers may not be convinced of the allround credentials of Rahul Dravid, who has one wicket to go along with his 10,823 runs, and so we need to weed out these genuine batting specialists who by some freakish circumstance, have ended up with a small number of wickets.
Similarly, at the other end, we cannot seriously regard the likes of England’s Bill Bowes (68 wickets) as a bowling allrounder, even though he scored 28 runs in 15 Tests, so from that end, we also need to establish a point beyond which a player can be regarded as a bowling specialist only, even though he may have scored the odd run here and there.
It will probably be obvious by now that the simplest (and perhaps most effective) way of establishing our continuum is to divide the number of runs a player has scored by the wickets he has taken. Using our two extremes, Dravid comes out with an allround index of 10823, while Bowes’ is 0.41. The index for true allrounders, of course, lies within a much a narrower range, and with absolutely no theoretical basis for my conclusion, other than matching the results with my observations of players over many years, it seems that the figure of 14 is the point of equilibrium, where a player’s batting is perfectly balanced with his bowling.
In fact no-one with 20 Tests under their belt has an index of exactly 14, but some come near. Of the megastars in the game’s history, Ian Botham (13.58) comes the closest, while Jack Gregory (13.48), Ray Illingworth (15.05) and Chris Cairns (15.23) also seem to be extraordinarily balanced in their contributions with both bat and ball, the latter two obviously having a slight bias in favour of their batting. The closest with a 20-Test minimum is the little remembered nineteeth-century allrounder from England, William Barnes (14.22). The following table lists those whose indices lie in between 13 and 15:
Index player M runs wkts
13.02 Mankad, MH 44 2109 162
13.12 Boje, N 43 1312 100
13.39 Hirst, GH 24 790 59
13.48 Gregory, JM 24 1146 85
13.58 Botham, IT 102 5200 383
14.22 Barnes, W 21 725 51
14.37 Nasim-ul-Ghani 29 747 52
14.41 Ratnayeke, JR 22 807 56
14.68 Madan Lal, S 39 1042 71
How far can we deviate from this balanced centre before we can no longer call the player an allrounder? At the bowling end, the figure appears to be around 7. Wasim Akram comes in on exactly that figure, while Dominic Cork (6.60) and Ray Lindwall (6.59) just had too much fire-power with the ball compared to their output as batsmen to be considered genuine allrounders. Alan Davidson (7.14) and Richard Hadlee (7.46) are rightly included, as is the rapidly-improving Mitchell Johnson (7.38).
Index player M runs wkts
6.53 Wickramasinghe 40 555 85
6.59 Lindwall, RR 61 1502 228
6.60 Cork, DG 37 864 131
6.67 DeFreitas, PAJ 44 934 140
6.80 Schwarz, RO 20 374 55
6.91 Briggs, J 33 815 118
7.00 Wasim Akram 104 2898 414
7.00 Edmonds, PH 51 875 125
7.14 Cairns, BL 43 928 130
7.14 Davidson, AK 44 1328 186
7.25 Hadlee, RJ 86 3124 431
7.38 Johnson, MG 21 694 94
7.46 Hadlee, DR 26 530 71
At the other end, we probably need to wander much further from our centre to capture all those who we might consider batting allrounders. Extending the index from 14 to 100 allows the inclusion of Jeremy Coney (98.81), but excludes Doug Walters (109.33), which might be considered fair enough. Wally Hammond (87.34), Scott Styris (86.37) and Chris Gayle (77.49) are also included.
Index player M runs wkts
71.15 Jayasuriya, ST 110 6973 98
74.94 Hathurusingha 26 1274 17
75.47 Shoaib Malik 23 1132 15
76.33 McCabe, SJ 39 2748 36
77.49 Gayle, CH 82 5502 71
79.30 Styris, SB 29 1586 20
82.00 Ryder, J 20 1394 17
86.37 Cronje, WJ 68 3714 43
87.34 Hammond, WR 85 7249 83
92.20 Astle, NJ 81 4702 51
98.81 Coney, JV 52 2668 27
102.17 Wyatt, RES 40 1839 18
103.74 Umrigar, PR 59 3631 35
109.33 Walters, KD 74 5357 49
109.60 Hazare, VS 30 2192 20
Finally, there happen to be exactly 50 players whose indices fall in between 10 and 20 – these are the players who I consider to be closest to being perfectly balanced in their allround contributions.
Index player M runs wkts
10.52 Imran Khan 88 3807 362
10.59 Mohd Rafique 33 1059 100
10.67 Tapash Baisya 21 384 36
10.95 Boyce, KD 21 657 60
10.99 Vettori, DL 92 3220 293
11.05 Pathan, IK 29 1105 100
11.60 Knight, BR 29 812 70
11.63 Harper, RA 25 535 46
11.63 MacGibbon, AR 26 814 70
11.65 Emburey, JE 64 1713 147
11.88 Lewis, CC 32 1105 93
11.94 Intikhab Alam 47 1493 125
11.99 Strang, PA 24 839 70
12.02 Giffen, G 31 1238 103
12.09 Kapil Dev, N 131 5248 434
12.15 O'Keeffe, KJ 24 644 53
12.58 Dharmasena 31 868 69
13.02 Mankad, MH 44 2109 162
13.12 Boje, N 43 1312 100
13.39 Hirst, GH 24 790 59
13.48 Gregory, JM 24 1146 85
13.58 Botham, IT 102 5200 383
14.22 Barnes, W 21 725 51
14.37 Nasim-ul-Ghani 29 747 52
14.41 Ratnayeke, JR 22 807 56
14.68 Madan Lal, S 39 1042 71
15.05 Illingworth, R 61 1836 122
15.06 Holford, DAJ 24 768 51
15.23 Cairns, CL 62 3320 218
16.00 Patel, DN 37 1200 75
16.03 Durani, SA 29 1202 75
16.07 Nadkarni, RG 41 1414 88
16.31 Brown, FR 22 734 45
16.50 Noble, MA 42 1997 121
16.67 Prabhakar, M 39 1600 96
16.72 Flintoff, A 75 3645 218
16.89 Hall, AJ 21 760 45
16.97 Sinclair, JH 25 1069 63
17.32 Julien, BD 24 866 50
17.35 Bailey, TE 61 2290 132
17.40 Miller, KR 55 2958 170
17.66 Binny, RMH 27 830 47
17.83 White, C 30 1052 59
18.31 Rhodes, W 58 2325 127
18.98 Ulyett, G 25 949 50
19.46 Abdul Razzaq 46 1946 100
19.51 Amarnath, L 24 878 45
19.58 Hopkins, AJY 20 509 26
19.62 Atkinson, DStE 22 922 47
19.82 Phadkar, DG 31 1229 62
So there we have it: a classification of players into five groups, Bowlers (Indices 0 to 7), Bowling Allrounders (7 to 10), Balanced Allrounders (10 to 20), Batting Allrounders (20 to 100) and Batsmen (above 100). These boundaries are purely subjective, and will no doubt promote some comment – but don’t forget, this is NOT an analysis of who the BEST allrounders are!
Click here for the full list.
Comments (85)
June 4, 2009
T20 Internationals - an analytical review
Posted by Ananth Narayanan at
in Twenty20

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Brendon McCullum: The leading run-scorer in Twenty20 internationals
© Getty Images
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| 1. Potpourri of T20 information
Given below are some interesting facts. Detailed tables for these can be viewed using Cricinfo's Statistics section.
1. McCullum is the leading run-scorer with 582 runs.
2. Symonds has the highest strike rate amongst batsman who have scored 100 runs. He has a strike rate of 169.35 while scoring 337 runs.
3. Jayasuriya has secured 5 MOM awards.
4. Umar Gul has captured the maximum wickets, 24 in all.
5. Ray Price (Zimbabwe) has the best economy rates among bowlers who have bowled 10 overs. His economy rate is 3.25.
6. Gayle is the only batsman to have scored a century. His score was 117.
7. Yuvraj's innings of 58 in 16 balls is the fastest in T20s.
8. Gillespie (New Zealand) has the best bowling figures, 2.5-0-7-4.
9. Cusack (Ireland) has the most accurate bowling analysis in T20s, 3.0-1-3-2.
10. Anderson (England) has the most expensive bowling T20 bowling spell ever, 4-0-64-1.
11. Sri Lanka has scored the highest total in T20s, 260 against Kenya.
12. Kenya, in addition to above, also has the lowest innings total against Ireland, a paltry 67.
13. South Africa chased a total of 205 made by West Indies.
14. Ireland defended a total of 43 (9 overs) against Bermuda.
For the 2007 World Cup, the significant top performers are listed below.
1. The maximum runs were scored by Hayden with 265.
2. The best Runs per Innings figure was Hayden's 44.17 in 6 innings, including 4 x 50s.
3. The best strike rate was Yuvraj Singh's 1.947 (148 runs in 76 balls).
4. Umar Gul captured the maximum wickets, having accounted for 13 dismissals.
5. The best bowling average was achieved by Chigumbura of Zimbabwe who captured 7 wickets at 7.29.
6. Vettori bowled most economically with a RPO figure of 5.33 in 24 overs.
2. A re-look at the Par Score
Sometime back I had a look at the Par Score for T20s in which I had suggested a Par Score as 165. I had increased this to 170+ for the sub-continent. I have looked at this again, only for the 25 matches of the World Cup. Looking at the 12 teams which scored 160 and above, 8 teams won defending such totals while 4 totals were chased successfully. This gives a very reasonable 66.7% winning chance and 160 can very well be taken as a Par Score for this World Cup, which will be played in England. On the other hand, increasing the Par Score to 165 gives the teams a chance to win in 7 out of 8 (87.5%). So I would say that the Par Score should be between 160-165. 160 should be sufficient, the few extra runs increase the chances of winning significantly.
3. T20-Intls: Analysis of 20-over runs conceded and wickets captured
Ov Num Runs Max Avge SD SEM Wkts Avge SD SEM
# Overs
1 174.0 1004 19 5.77 3.47 0.26 40 0.23 0.46 0.03
2 174.0 1199 25 6.89 4.69 0.36 42 0.24 0.49 0.04
3 174.0 1333 18 7.66 4.52 0.34 57 0.33 0.56 0.04
4 174.0 1319 20 7.58 4.82 0.37 54 0.31 0.51 0.04
5 174.0 1466 22 8.43 4.86 0.37 37 0.21 0.46 0.04
6 173.5 1376 21 7.92 4.83 0.37 67 0.39 0.58 0.04
7 173.0 1137 22 6.57 3.94 0.30 47 0.27 0.48 0.04
8 172.4 1163 24 6.74 3.95 0.30 49 0.28 0.50 0.04
9 172.0 1077 19 6.26 3.61 0.28 49 0.28 0.52 0.04
10 169.0 1157 20 6.85 3.92 0.30 45 0.27 0.52 0.04
11 166.5 1090 19 6.53 3.65 0.28 60 0.36 0.54 0.04
12 163.5 1191 18 7.27 4.28 0.33 48 0.29 0.49 0.04
13 163.0 1234 25 7.57 4.64 0.36 52 0.32 0.53 0.04
14 161.5 1099 21 6.79 4.07 0.32 63 0.39 0.57 0.04
15 157.2 1181 24 7.51 4.45 0.35 63 0.40 0.53 0.04
16 155.5 1253 26 8.04 5.32 0.43 58 0.37 0.59 0.05
17 152.1 1280 21 8.41 5.04 0.41 71 0.47 0.66 0.05
18 147.0 1145 24 7.79 4.92 0.40 70 0.48 0.57 0.05
19 132.0 1184 36 8.97 6.08 0.52 76 0.58 0.71 0.06
20 109.3 1052 21 9.61 4.96 0.45 105 0.96 0.84 0.08
A new statistical measure, suggested by Aneesh Kulkarni, the Standard Error of the Mean (SEM) has been taken. This measure is a function of the Standard Deviation and the number of samples, in this case the number of overs. The SD and SEM are related measures. The SD refers to the actual values (could range from 0 to 36) while the SEM refers to the expected variation of the mean values. Readers can contribute, if they want, on this measure.
a. There is a spurt in the second over, indicating that the first over was used to get the bearings. There is marked spurt in the 5th over, possibly because the batsmen take couple of overs to familiarize themselves and cut loose in anticipation of the removal of the fielding restrictions.
b. There seems to be no significant change between the 10th and 11th over since there is no artificial commercial break after the 10th over.
c. There seems to be a steady move in the later overs. However the 14th over shows an unexpected dip. Why, I cannot tell.
d. There is a major move in wickets lost between 5th and 6th overs, a clear case of batsmen chancing their arms. The significant increase in the 20th over is again understandable.
4. T20-Intls: Comparison of 20-over figures between First and Second inns
Ovr First Innings Second Innings First Inns Second Inns
# Runs Runs Wkts Wkts
1 (87.0 525) 6.03 5.51 (87.0 479) 20 0.23 20 0.23
2 (87.0 545) 6.26 7.52 (87.0 654) 26 0.30 16 0.18
3 (87.0 688) 7.91 7.41 (87.0 645) 24 0.28 33 0.38
4 (87.0 675) 7.76 7.40 (87.0 644) 29 0.33 25 0.29
5 (87.0 685) 7.87 8.98 (87.0 781) 19 0.22 18 0.21
6 (87.0 673) 7.74 8.10 (86.5 703) 31 0.36 36 0.41
7 (87.0 542) 6.23 6.92 (86.0 595) 26 0.30 21 0.24
8 (87.0 608) 6.99 6.48 (85.4 555) 28 0.32 21 0.25
9 (87.0 568) 6.53 5.99 (85.0 509) 24 0.28 25 0.29
10 (86.0 606) 7.05 6.64 (83.0 551) 29 0.34 16 0.19
11 (86.0 608) 7.07 5.96 (80.5 482) 32 0.37 28 0.35
12 (85.0 644) 7.58 6.94 (78.5 547) 23 0.27 25 0.32
13 (85.0 647) 7.61 7.53 (78.0 587) 24 0.28 28 0.36
14 (84.0 578) 6.88 6.69 (77.5 521) 36 0.43 27 0.35
15 (83.0 597) 7.19 7.86 (74.2 584) 36 0.43 27 0.36
16 (83.0 729) 8.78 7.19 (72.5 524) 31 0.37 27 0.37
17 (82.5 673) 8.12 8.75 (69.2 607) 45 0.54 26 0.38
18 (79.5 625) 7.83 7.74 (67.1 520) 42 0.53 28 0.42
19 (78.0 736) 9.44 8.30 (54.0 448) 53 0.68 23 0.43
20 (73.2 706) 9.63 9.57 (36.1 346) 71 0.97 34 0.94
Total 7.50 7.29 0.38 0.33
The first innings average for both runs per over and wickets per over are slightly higher for obvious reasons, the absence of a specific target. In the second innings the target is known and only the required runs are scored and unnecessary risks not taken.
a. The first real difference comes in the 2nd over. For some strange reason the chasing teams have averaged 25% more than the first batting teams. Why, I cannot put my fingers on one reason.
b. Similar in the 5th over where contrary to what I would have expected, the chasing teams have outscored the first batting teams. Possibly the uncertainty of the first innings caused this. For the first 6 overs, the chasing team has an additional 2 runs (45+ against 43+). No great difference.
c. The rest of the stats show usual fluctuations other than the 19th over where the first batting team is over a run ahead of the chasing team. Yuvraj Singh's 36-run over has contributed 0.3 of this run.
d. There is no great difference in average wickets other than the over 3 (chasing team 30% more), over 10 (first batting team nearly double of chasing team) and over 19 (first batting team 35% more). The later is explainable what with the batsmen throwing their bats around in the first innings and slowing down nearing the target in the second. In addition, it is also possible that the matches are won or lost by the 19th over.
5. T20-Intls: Comparison of 20-over figures between T20s and IPL
Ov T20-Interntionals IPL-2009 matches T20-Intls IPL-2009
# Runs Runs Wkts Wkts
1 (174.0 1004) 5.77 5.55 (114.0 633) 40 0.23 38 0.33
2 (174.0 1199) 6.89 6.73 (114.0 767) 42 0.24 33 0.29
3 (174.0 1333) 7.66 7.20 (114.0 821) 57 0.33 26 0.23
4 (174.0 1319) 7.58 7.73 (114.0 881) 54 0.31 26 0.23
5 (174.0 1466) 8.43 8.10 (113.5 922) 37 0.21 31 0.27
6 (173.5 1376) 7.92 7.98 (113.0 902) 67 0.39 33 0.29
7 (173.0 1137) 6.57 5.66 (113.0 640) 47 0.27 30 0.27
8 (172.4 1163) 6.74 6.65 (113.0 752) 49 0.28 17 0.15
9 (172.0 1077) 6.26 6.88 (113.0 778) 49 0.28 27 0.24
10 (169.0 1157) 6.85 6.10 (112.2 685) 45 0.27 33 0.29
11 (166.5 1090) 6.53 6.51 (112.0 729) 60 0.36 30 0.27
12 (163.5 1191) 7.27 7.31 (112.0 819) 48 0.29 26 0.23
13 (163.0 1234) 7.57 7.23 (111.0 802) 52 0.32 27 0.24
14 (161.5 1099) 6.79 7.46 (110.1 822) 63 0.39 30 0.27
15 (157.2 1181) 7.51 7.94 (109.4 871) 63 0.40 36 0.33
16 (155.5 1253) 8.04 8.17 (105.5 865) 58 0.37 45 0.43
17 (152.1 1280) 8.41 9.15 (104.2 955) 71 0.47 43 0.41
18 (147.0 1145) 7.79 9.60 (102.2 982) 70 0.48 47 0.46
19 (132.0 1184) 8.97 8.98 ( 96.2 865) 76 0.58 44 0.46
20 (109.3 1052) 9.61 10.01 ( 82.5 829) 105 0.96 77 0.93
Total 7.39 7.49 0.36 0.32
It must be remembered that the T20s have had matches played across the world, between many different levels of teams and do not have the 10th over long commercial break.
a. The IPL matches have a slightly higher run-rate as well as slightly lower wickets per over also. Possibly the better quality of players?
b. Not so surprisingly the T20 and IPL have almost similar values barring one over, the 18th. IPL rate is ahead by 20%. Over 10, which had a greater significance for IPL than T20s, there is no variance at all.
c. The two opening overs have shown a much higher quantum of wickets being captured. Understandable since IPL was played in South Africa while the T20s have been played in batsmen-friendly pitches across the world. There seems to be a greater number of wickets in the 6th over in T20s than IPL indicating that in the T20s teams have opted for steadier starts but have tried to speed up just before the fielding restrictions end.
6. T20-Intls: 10 over scores - runs scored
SNo. I MtId Year Team 10Overs Final score vs %adv Rns Rslt
1. 1 0013 2007 Aus 117/2 to 221/ 5 (20.0) Eng 1.89 104 Won
2. 1 0020 2007 Win 109/0 to 205/ 6 (20.0) Saf 1.88 96 Lost
3. 2 0014 2007 Saf 107/0 to 132/ 0 (11.3) Pak 1.23 25 Won
4. 2 0020 2007 Saf 106/2 to 208/ 2 (17.4) Win 1.96 102 Won
5. 1 0079 2008 Nzl 106/0 to 191/ 9 (20.0) Win 1.80 85 Won
6. 2 0057 2008 Win 102/3 to 102/ 3 ( 9.1) Aus 1.00 0 Won
7. 1 0027 2007 Slk 101/2 to 260/ 6 (20.0) Ken 2.57 159 Won
8. 1 0080 2009 Aus 101/2 to 182/ 9 (20.0) Saf 1.80 81 Won
9. 1 0011 2006 Nzl 101/2 to 162/ 8 (20.0) Slk 1.60 61 Lost
10. 2 0047 2007 Ind 101/1 to 167/ 3 (18.1) Aus 1.65 66 Won
11. 2 0024 2007 Bng 100/2 to 165/ 4 (18.0) Win 1.65 65 Won
...
...
...
168. 1 0021 2007 Ken 38/5 to 73/10 (16.5) Nzl 1.92 35 Lost
169. 2 0064 2008 Ire 34/2 to 72/ 6 (19.1) Ken 2.12 38 Won
170. 1 0067 2008 Ber 33/5 to 70/10 (20.0) Can 2.12 37 Lost
171. 1 0050 2007 Saf 28/7 to 58/ 8 (13.0) Win 2.07 30 Lost
172. 2 0075 2008 Can 27/4 to 75/10 (19.2) Zim 2.78 48 Lost
Even though the 10-over mark is not significant in T20 International matches, there being no Commercial(-cum-strategic) break, I have determined the 10-over scores to do a similar analysis as IPL. After all 10 overs represents the mid point and is an ideal point for taking stock.
a. There have been quite a few instances of teams having reached 100 runs during the first 10 overs, 11 to be precise. This has been distributed over a number of teams, Pakistan and England excepted.
b. Not all teams have taken advantage of this great start. Australia and Sri Lanka have capitalized on the start very well. Couple of teams who crossed 100 in 10 overs have also lost.
c. A few teams have scored fewer than 40 runs in the first 10 overs and have lost. The only exception is the Ireland which, however, was chasing only a paltry total of 67 by Kenya.
7. T20-Intls: 10 over scores - % of runs advanced in second 10 overs
SNo. I MtId Year Team 10Overs Final score vs %adv Rns Rslt
1. 1 0045 2007 Ind 60/2 to 188/ 5 (20.0) Aus 3.13 128 Won
2. 2 0081 2009 Aus 56/2 to 161/ 4 (18.5) Saf 2.88 105 Won
3. 2 0075 2008 Can 27/4 to 75/10 (19.2) Zim 2.78 48 Lost
4. 1 0036 2007 Nzl 60/4 to 164/ 9 (20.0) Eng 2.73 104 Won
5. 1 0035 2007 Pak 69/3 to 189/ 6 (20.0) Slk 2.74 120 Won
6. 1 0051 2008 Win 48/3 to 131/ 7 (20.0) Saf 2.73 83 Lost
7. 1 0023 2007 Aus 51/4 to 138/ 9 (20.0) Zim 2.71 87 Lost
8. 2 0049 2007 Nzl 49/6 to 132/10 (18.3) Aus 2.69 83 Lost
9. 1 0043 2007 Ind 57/3 to 153/ 5 (20.0) Saf 2.68 96 Won
10. 2 0029 2007 Pak 53/4 to 141/ 7 (20.0) Ind 2.66 88 Lost
11. 1 0081 2009 Saf 59/3 to 157/ 5 (20.0) Aus 2.66 98 Lost
12. 1 0027 2007 Slk 101/2 to 260/ 6 (20.0) Ken 2.57 159 Won
13. 1 0038 2007 Slk 57/3 to 147/ 5 (20.0) Bng 2.58 90 Won
14. 1 0022 2007 Pak 67/3 to 171/ 9 (20.0) Sco 2.55 104 Won
15. 1 0049 2007 Aus 73/3 to 186/ 6 (20.0) Nzl 2.55 113 Won
16. 2 0059 2008 Ire 47/2 to 118/ 6 (19.5) Sco 2.51 71 Won
17. 2 0039 2007 Saf 63/3 to 158/ 4 (19.1) Nzl 2.51 95 Won
18. 1 0032 2007 Nzl 77/2 to 190/10 (20.0) Ind 2.47 113 Won
19. 2 0071 2008 Zim 55/4 to 135/ 9 (20.0) Can 2.45 80 Lost
20. 1 0008 2006 Eng 59/4 to 144/ 7 (20.0) Pak 2.44 85 Lost
a. India tripled their score at the 10-over mark, and won. They also added 128 runs against the quality Australian attack. Sri Lanka have scored the maximum number of runs during the second 10 overs, battering the hapless Kenyans to the tune of 159 runs (yes, a rate of 15.9 rpo).
8. T20-Intls: T20 Batting Index (Min 5 batting innings)
No Batsman Ctry Inns Runs R/Inns StRt BatIdx
1 Gayle C.H Win 7 261 37.29 161.1 60.07
2 Warner D.A Aus 5 177 35.40 155.3 54.96
3 Symonds A Aus 11 337 30.64 169.3 51.88
4 Masakadza H Zim 7 258 36.86 135.8 50.05
5 Hayden M.L Aus 9 308 34.22 143.9 49.25
6 Yuvraj Singh Ind 9 262 29.11 164.8 47.97
7 Jayasuriya S.T Slk 11 341 31.00 154.3 47.83
8 McMillan C.D Nzl 7 187 26.71 159.8 42.70
9 Smith D.S Win 5 166 33.20 123.9 41.13
10 Samuels M.N Win 6 131 21.83 177.0 38.65
11 Smith G.C Saf 12 364 30.33 127.3 38.61
12 Oram J.D.P Nzl 12 293 24.42 156.7 38.26
13 Gambhir G Ind 11 328 29.82 126.6 37.76
14 Duminy J.P Saf 10 279 27.90 133.5 37.24
15 Misbah-ul-Haq Pak 14 422 30.14 122.7 36.98
16 Kemp J.M Saf 7 203 29.00 126.9 36.79
17 Hussey D.J Aus 7 181 25.86 141.4 36.56
18 Pietersen K.P Eng 15 375 25.00 144.2 36.06
19 Ponting R.T Aus 14 376 26.86 131.5 35.31
20 McCullum B.B Nzl 21 582 27.71 125.4 34.76
This is a measure which encompasses in a single number the two significant characteristics of T20 batting, (viz), the runs scored and the strike rate. In order to take away the effects of not outs, in any case Batting average in T20 is a non-starter, only Runs per Innings is used. A minimum of 5 batting innings are used to select batsmen.
The measure is a product of the Runs/Innings figure by Strike Rate. This is an excellent measure to determine the batsman's contribution. Longevity does not come into the picture at all.
Gayle, with a Runs/Inns figure of 37.29 and strike rate of 1.611 has an excellent Bat index value of 60.07 and leads by a good margin against the new sensation from Australia, David warner, who has figures of 35.4 and 1.553 leading to 54.96. Third is the incomparable Andrew Symonds, with figures of 34.10 and 1.543, getting a Bat index of 52.62.
The unheralded Masakadza, playing for an unfancied team is the surprising presence at no.4, with an excellent Bat index value of over 50. Yuvraj Singh is the leading Indian and Misbah-ul-Haq, the leading Pakistani batsmen.
9. T20-Intls: % of boundaries in an innings (innings minimum - 50 runs)
No MtId Year Player Name For Runs Balls S/R 4-6s % vs
1.0040 2007 Yuvraj Singh Ind 58 16 362.5 54 93.1% Eng
2.0011 2006 Jayasuriya S.T Slk 51 23 221.7 46 90.2% Nzl
3.0049 2007 Oram J.D.P Nzl 66 31 212.9 56 84.8% Aus
4.0014 2007 Smith G.C Saf 71 40 177.5 60 84.5% Pak
5.0079 2008 McCullum B.B Nzl 59 34 173.5 48 81.4% Win
6.0043 2007 Sharma R.G Ind 50 40 125.0 40 80.0% Saf
7.0027 2007 Jayasuriya S.T Slk 88 44 200.0 68 77.3% Ken
8.0018 2007 Nazimuddin Bng 81 50 162.0 62 76.5% Pak
9.0074 2008 Rizwan Cheema Can 68 43 158.1 52 76.5% Slk
10.0020 2007 Gibbs H.H Saf 90 55 163.6 68 75.6% Win
...
14.0020 2007 Gayle C.H Win 117 57 205.3 88 75.2% Saf
Yuvraj Singh is on top, because of his 6-sixes over off Broad. An astounding 93% of his runs were scored in 4s and 6s. Jayasuriya's 90% follows next and then comes Oram's 85%.
The maximum runs in boundaries in an innings is by Gayle who scored 88 runs off his score of 117 in boundaries. Unfortunately West Indies lost the match.
10. T20-Intls: Overs in which 20 or more runs were conceded
No MtId Year I Bowler Name For Vs O % of Tot Max
1.0040 2007 1 Broad S.C.J Eng Ind 19 36 runs 16.5% 20
2.0001 2005 1 Tuffey D.R Nzl Aus 19 30 runs 14.0% 20
3.0027 2007 1 Onyango L.N Ken Slk 19 29 runs 11.2% 20
4.0053 2008 1 Patel J.S Nzl Eng 16 26 runs 14.1% 20
5.0027 2007 1 Tikolo S.O Ken Slk 13 25 runs 9.6% 20
6.0032 2007 1 Yuvraj Singh Ind Nzl 16 25 runs 13.2% 20
7.0057 2008 2 Johnson M.G Aus Win 2 25 runs 24.5% 9
8.0049 2007 2 Symonds A Aus Nzl 18 24 runs 18.2% 19
9.0039 2007 1 Morkel J.A Saf Nzl 15 24 runs 15.7% 20
10.0024 2007 1 Mohammad Ashraful Bng Win 19 24 runs 14.6% 20
11.0079 2008 1 Edwards F.H Win Nzl 8 24 runs 12.6% 20
12.0006 2006 1 Hogg G.B Aus Saf 16 23 runs 11.4% 20
13.0022 2007 1 Haq R.M Sco Pak 13 23 runs 13.5% 20
14.0088 2009 1 Bracken N.W Aus Saf 16 23 runs 14.7% 20
15.0025 2007 1 Dabengwa K.M Zim Eng 13 22 runs 11.7% 20
16.0054 2008 1 Hitchcock P.A Nzl Eng 5 22 runs 11.4% 20
17.0008 2006 2 Mahmood S.I Eng Pak 5 22 runs 14.9% 17
18.0047 2007 1 Sreesanth S Ind Aus 18 22 runs 13.3% 20
19.0035 2007 2 Mohammad Asif Pak Slk 7 22 runs 14.1% 20
& 12 others who have conceded 21 runs in an over,
& 18 others who have conceded 20 runs in an over.
a. There are 30 instances in the first innings and only 19 in the second innings. Clearly a case of the uncertainty prevailing in the first innings when the target is unclear while in the second innings the target is clear and there is no need to go for risky run-scoring efforts.
b. New Zealand batsmen have done this 9 times, followed by South Africa 7 times and Australia, Sri Lanka, Pakistan and India 6 times each.
c. Australia and New Zealand bowlers have conceded 20 or more runs 8 times while England bowlers 6 times.
d. The Indian batting and England bowling stints converged in the 36-run over essayed by Yuvraj Singh against Broad during the T20 World Cup 2007. The irony is that Yuvraj himself was hit for 25 runs by Oram/McMillan.
e. Hopes, Ashraful, Shahadat Hossain and Sreesanth have conceded 20 or more runs twice in T20 matches.
f. Johnson's 25 run constituted 24.5% of the opposing team total. However this was while a low Australian total was being chased by West Indies, in less than 10 overs. In a complete 19-20 over match, the highest % of runs conceded was in the Symonds over to New Zealand (24 out of 132, but Australia won) and the amazing 36 over bowled by Broad (36 out of 218).
11. T20-Intls: Analysis of maidens bowled
No Bowler Ctry Mat Overs Mdns % Mdns M/M
1 Price R.W Zim 4 16.0 3 18.75 0.75
2 Nel J.D Sco 6 19.0 3 15.79 0.50
3 Gillespie M.R Nzl 11 35.0 3 8.57 0.27
4 Fernando C.R.D Slk 13 46.0 3 6.52 0.23
5 Shahid Afridi Pak 16 61.3 3 4.88 0.19
6 Syed Rasel Bng 8 29.0 2 6.90 0.25
7 Sreesanth S Ind 9 34.0 2 5.88 0.22
8 Bracken N.W Aus 17 56.5 2 3.52 0.12
& 29 others who have bowled a single maiden in their career.
a. There are 8 instances of bowlers exceeding or reaching 3 maidens. Three bowlers have bowled 2 maidens each.
b. Ray Price of Zimbabwe has the best record of maiden frequency with 18.75%, followed by J.D.Nel of Scotland (15.8%) and Gillespie of New Zealand with 8.5%.
c. The highest number of runs conceded in the 20th over is 21 while the highest number of runs conceded in the first over is 19.
c. In T20s a total of 50 maidens were bowled out of 3238 overs making the frequency at one every 65 matches. Contrast this with the IPL figures of 21 maidens out of 2179 overs, working out to a much lower frequency of a maiden every 104 matches. Possibly due to the higher quality of batsmen present.
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