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"I urge readers to read and understand the reasoning behind the analysis. It is NOT to determine the best ODI team across years or teams. Rather it is to determine the best team that walked on to the field, as 11 players. Many comments have been made ignoring this fact. So much so, no comment which lists the readers' favourite team will be published. Let me add that over 50 comments have gone unpublished because of this."
For my next post, I wanted to stay away from Test cricket, on which most of the recent It Figures posts have been. At the other extreme we have Twenty20, which has had an all-pervading presence on almost all the channels on television, and the web and print media as well. That leaves the often-ridiculed form of cricket, one-day internationals. I never thought I would say this, but I have already started longing for ODI cricket.
This time I have taken for analysis a topic which I had looked at for Tests, and am now adapting to ODIs: how strong is an ODI team and how do the teams compare over the 37 years of ODI cricket? Where does the 2007 Australian team stand when compared to the West Indian teams of early 1980s, or for that matter the Australian teams of the late 1990s? It has turned out to be a fascinating study.
The one significant advantage we have when comparing ODI teams is that even the 1975 West Indies team had players most of us [barring those below 30, who would anyhow be familiar with them] have seen. It is not very difficult to identify with Viv Richards, Ian Chappell, Clive Lloyd, Michael Holding etc. unlike in Test cricket, where George Lohmann, with a Test bowliing average of 10.76, was born nearly 143 years ago. It isn't easy to relate to either fact.
A team is as strong as its batsmen, bowlers and fielders are. If we consider fielding as part of the bowling, these two main areas have to be given equal weightage. ODI laws might be tilted towards the batsmen, but the role of bowlers can never be underestimated. This happens even in the Twenty20 game.
Hence I have given a weightage of 50 for batting and 50 for bowling (further split as 45 for bowling and 5 for fielding). Because there is no quantified data for fielding per se, the weightage for fielding is in reality for catching/stumping. This also explains the low weightage.
The one thing I want to ensure is that this analysis will comprise only of measurable, objective parameters. The other areas such as captaincy, recent form, home advantage etc. are intangibles and subjective. A captain is only as good as his team is. Recent form has more relevance in Test matches. Home advantage is a mirage. The non-Australian strokemakers would love to play on the bouncy Australian pitches and the non-New Zealand seam/swing bowlers would love to bowl in Auckland or Hamilton.
Readers might be tempted to send the usual comments that these are obvious and why should there be a need to do analysis. Let me remind such readers that their conclusions would be based on error-prone subjective inferences and also not indicate how much a team is better than another. My results are based on objective analysis and indicate the quantitative differentials between teams.
ODI batting consists of two distinctly measurable and independent factors: how many runs are scored and how fast they are scored. In other words, the batting average and the strike-rate. No one can question the decision to treat these two parameters equally.
The average is taken rather than the lesser known and acceptable runs per innings or my own development, the extended batting average. The average is a widely accepted measure and presents the best method of measuring runs scored. Only two batsmen in ODI history, Michael Bevan and Michael Hussey, have averages higher than 50 (among those with a minimum of 20 innings), mainly because of their number of not-outs. However this is partly rectified by limiting the average to 50.0 for these two batsmen.
There is no problem with strike-rate. That is available as a straight computation of runs scored / balls faced. The averages and strike-rates of the top seven batsmen in the team's batting order are summed. The averages and strike-rates for batsmen nos. 8 to 11 are given a 25% weightage each. The arrived total is divided by eight and the Team Batting Average and Team Strike-Rate are arrived at.
The batting average index points are determined by dividing the team batting average by two. The maximum value for this is 25.0.
The strike-rate index points are determined by multiplying the team strike-rate (runs per ball) by 25.0. The maximum value for this is just over 25.0. Only one batsman in ODI history, Shahid Afridi, has a career strike rate of over 1.00.
Care is taken that these full values are applied only for career aggregates of 1000 runs and above. Otherwise Arvind Kandappah of Canada and Alex Obanda of Kenya will single-handedly make their team's batting averages huge. These two have Bradmanesque career batting averages of 97.0, although scoring only 97 and 194 runs respectively.
SNo. Year MtNo I Team vs AvIdx SRIdx BatNote: Out of the 2703 matches considered, two matches were abandoned without even the team information being available.
1. 2005 2257 2 AUS (vs Bng) 19.89 20.99 40.87 (Gilchrist, Hayden, Ponting, Martyn, Clarke M,
Symonds, Hussey). 2. 2005 2261 2 AUS (vs Eng) 19.91 20.90 40.81 3. 2005 2259 1 AUS (vs Eng) 19.67 20.78 40.45
Next 105 teams are Australian, followed by
109. 2005 2282 2 ICC (vs Aus) 18.15 20.47 38.62 (Sangakkara, Sehwag, Kallis, Lara, Dravid, Pietersen, Flintoff, Afridi)
Next 16 teams are Australian, then
126. 2004 2202 1 IND (vs Bng) 18.06 20.43 38.49 (Sehwag, Tendulkar, Ganguly, Dravid, Kaif, Yuvraj Singh, Dhoni).
Then another 5273 teams
5400. 2004 2172 1 USA (vs Aus) 3.27 9.73 13.00 5401. 1979 0067 1 CAN (vs Eng) 5.05 7.85 12.91 5402. 1979 0070 1 CAN (vs Aus) 4.76 6.98 11.74
The first 108 teams in the batting list are Australian. These 108 matches have come over a nine-year period, from 1999 to 2008, a period of total Australian domination, punctuated by three World Cup wins. The three batsmen who have been part of almost all these matches are Adam Gilchrist, Ricky Ponting and Andrew Symonds.
Like batting, bowling also has two components, the bowling strike-rate and accuracy. However, unlike batting, the bowling average is a fantastic measure since it encompasses both these key measures in a single value. Consider the following.
Runs Conceded Bowling Average = ------------- Wickets TakenThere is no need to measure these two factors independently. It is sufficient to take the single composite measure, bowling average and work on it.
Rewriting this as
Runs Conceded Balls Bowled Bowling Average = ------------- x ------------- Balls Bowled Wickets Taken
This can be written as
Bowling Average = Bowling Accuracy x Bowling Strike-Rate.
Unlike the batting computation, the bowling averages of the best five bowlers is taken and divided by five. This is because it is expected the team would use their best five bowlers. Even if Jacques Kallis bats at No. 3, he is likely to be used as a bowler if he is one of the best five. Whether he bowls in the concerned match or not is outside the scope of this analysis since this study only measures how strong a team potentially is, not how strong the team actually was.
Here also care is taken that bowlers with less than 50 wickets have their figures scaled down suiitably. Otherwise Gary Gilmour, with 16 career wickets at 10.31, will completely tilt the figures of the late-1970s Australian teams.
The bowling index is determined by subtracting the Team Bowling Average from 60.0. Since the best bowling average for qualifying bowlers [minimum 50 wickets] is 18.85 by Garner, the highest value will not exceed the maximum weightage given to bowlers, of 45.
For both batting and bowling, I have also taken the full career figures rather than the career-to-date figures in view of the complexity of calculation and the fact that we are averaging and the minor differences tend to get ironed out.
Only catches and stumpings are considered. The values for all 11 players are added, divided by 11, and multiplied by two to get a team fielding average. The highest value is 1.95 and the maximum index value is 3.90. It is obvious that this figure will be strongly influenced by the wicketkeeper's figures. A per match average rather than catches/stumpings aggregate is taken to be fair to weaker teams.
SNo. Year MtNo I Team vs Fld Bow TotThe first 24 teams in the batting list are West Indian teams. These 24 matches have come over a six-year period, from 1981 to 1987. The two bowlers who have been part of almost all these matches are Holding and Garner.
1. 1981 0116 2 WIN (vs Eng) 1.55 38.65 40.20 (Roberts, Holding, Croft, Garner) 2. 1982 0134 2 WIN (vs Pak) 2.25 37.79 40.03 3. 1982 0135 2 WIN (vs Aus) 2.25 37.79 40.03
Next 21 teams are West Indian, then
25. 2001 1670 2 AUS (vs Win) 2.44 35.95 38.38
Then another 5374 teams
5400. 1979 0070 1 CAN (vs Aus) 0.17 10.00 10.17 5401. 1979 0067 1 CAN (vs Eng) 0.17 10.00 10.17 5402. 1979 0064 1 CAN (vs Pak) 0.17 10.00 10.17
Final Team Strength
This arrived by adding the batting, bowling and fielding indices. The maximum is 100, making it easier to see things in perspective.
SNo. Year MtNo I Team vs Bat Bow Fld TeamThe first 145 teams in the list are Australian. These 145 matches have come over a nine-year period, from 1999 to 2008, a period of total Australian domination, punctuated by three World Cup wins. The five players who have been part of almost all these matches are Gilchrist, Ponting, Symonds, Brett Lee and Glenn McGrath.
1. 2001 1670 2 AUS (vs Win) 38.95 35.95 2.44 77.34 (Gilchrist, Waugh M, Ponting, Bevan, Lehmann, Symonds, Martyn, Warne, Lee, Bracken, McGrath). 2. 2004 2180 1 AUS (vs Eng) 39.28 35.39 2.56 77.23 (Gilchrist, Hayden, Ponting, Martyn, Lehmann, Clarke M, Symonds, Lee, Gillespie, Kasprowicz, McGrath). 3. 2004 2172 2 AUS (vs Usa) 39.28 35.39 2.56 77.23 (Same as previous team) 4. 2004 2131 2 AUS (vs Zim) 39.10 35.30 2.69 77.09 5. 2003 1951 2 AUS (vs Ind) 39.47 35.02 2.43 76.91
Next 140 teams are Australian, then
146. 1982 0139 2 WIN (vs Aus) 33.82 37.79 2.25 73.86 (Greenidge, Haynes, Richards, Gomes, Lloyd, Bachhus, Dujon, Roberts, Holding, Clarke ST, Garner).
Next 19 teams are Australian/West Indian, then
166. 2005 2282 2 ICC (vs Aus) 38.62 32.75 2.28 73.65 (Sangakkara, Sehwag, Kallis, Lara, Dravid, Pietersen, Flintoff, Shahid Afridi, Pollock S, Vettori, Shoaib Akhtar, Muralitharan).
Then another 5233 teams
5400. 1975 0024 1 EAF (vs Ind) 13.06 10.00 0.52 23.58 5401. 1979 0067 1 CAN (vs Eng) 12.91 10.00 0.17 23.07 5402. 1979 0070 1 CAN (vs Aus) 11.74 10.00 0.17 21.91
Finally I have done another "fourth dimension" formation. Australia have had the best batting teams ever and West Indies, the best bowling teams ever. Let us combine the two into one all-time great ODI team. Take the first seven players from the Australian 2005 team [Match no. 2257] and add to it the best four bowlers from the 1981 West Indies side [Match no. 116]. Given below is the final squad.
Just to round up the analysis, this all-time great team has an index value of 77.05, which is lower than the Australia 2005 figure. This has been caused no doubt by the loss of batting and fielding points of the Australian team (Watson/Lee/Gillespie/Kasprowicz are much better batsmen and fielders than the West Indian bowling quartet). However, the team listed below is an outstanding one with a superb bowling attack.
Adam Gilchrist Matthew Hayden Ricky Ponting Damien Martyn Michael Clarke Andrew Symonds Michael Hussey Andy Roberts Michael Holding Colin Croft Joel Garner.Readers should not forget that this not necessarily the best ODI Team of all time, It has been formed by merely taking the first 7 players from the best ever Batting line-up and adding the 4 bowlers from the best ever Bowling line-up.
Theoretically this team can be further improved by taking in Tendulkar, Richards, Dhoni, Wasim Akram, Shane Warne et al. That is a different day and different motivation. For the present let us enjoy the combination of two different eras.
If we tamper with this team, the charm would be lost. The Australia-West Indies combination would be missing. After all, these two countries have dominated the ODI scene during these 37 years, West Indies during the first ten years and Australia, the last 20.
Anantha Narayanan has written for ESPNcricinfo and CastrolCricket and worked with a number of companies on their cricket performance ratings-related systemsFeeds: Anantha Narayanan
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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.