Viv Richards News Topic

Sons of the Sun (Pt 2)

(A father and son team goes to bat in a three-part series on the great Lara vs. Richards debate).

Ever since the gladiatorial days of Ancient Rome, men have posed the eternal question: Who is the best; who is the greatest?

The idea of contest has always been at the very heart of sport. From the blood-soaked arena of Rome's Coliseum; to the sweat-drenched canvas of Madison Square Garden; to the teenaged tears on Wimbledon's Center Court; to the tension of that first morning of a Sabina Test, the contest has always been about 'mano y mano' in combat.

The image of the cricketer as gladiator, be he bowler or batsman, is implanted in the human imagination. Who can forget the sight of Marshall with his fractured hand, laying waste the English; or the fearsome assault of Greenidge, hobbling, grimacing in pain; or Walsh, the Tireless One, returning for yet one more spell?

It is the warrior spirit of these gladiator sportsmen that ignites their desire to be the best; it is this desire that fuels their unwillingness to yield; and it is the performance within this unwillingness that excites us, spectators. Like Maximus Decimus, the gladiator sportsman needs his audience. To win his battle, he must win the crowd. It is here we meet the divided world; it is here, the crowd faces its challenge as spectator and as judge.

To judge the obvious is easy. Rowe was a superior batsman to Gibbs; no problem there. Ambrose was a better bowler than Gomes; no problem there. But what of two warriors of near equal capabilities and output? It is the difficult comparison that becomes the important comparison. The real thrill lies in separating the best from the best. We consider the exercise neither futile nor boring.

In the heart of every man there lies preferences. Notwithstanding our collaboration, we too, had our individual preferences. We suppressed these preferences in favor of analytical reasoning and popular opinion (Popular opinion is oftentimes downright dangerous; perhaps, it is an ideological thing, perhaps, it could be a generational thing, but we discovered a lot of volatile folks out there).

The comparison between Richards and Lara is best conducted along two parallel lines - quantitative factors and qualitative terms. Some quantitative facts are well known; others are not. We extracted from the huge pool of statistical data the significant batting indices of the two men. The selected indices are by no means exhaustive. We are aware that the informed reader may wish to include additional indicators. However, we wish to point out that these indicators must pass the test of measurability.

The deepest and most profound truths lie beneath the surface of the odd and difficult questions. Creatively reassembling the pattern of data left behind often results in new and surprising insights. The achievement of John Cockcroft and Ernest Walton is instructive. Before them, physicists had convinced the world that the atom was indivisible.

Cockcroth and Walton's invention of the particle separator, used to split to the atom, was the result of methodical and painstaking application of data. Knowing what to measure and how to measure reduces the complicatedness and seeming futility of separating the ?unseparable?.

The separation of Richards as the best, from Lara as the best, is therefore an exercise in the innovative manipulation of data, be it quantitative or qualitative. Indeed, we discovered that beyond the boundary of all those runs scored (quantitative); that there lay a body of elements (qualitative) that conventional statistical presentations did not highlight. (We were tempted to call the discovery the 'swimsuit effect?, in that what the traditional statistics revealed was important, but what they concealed was vital!).

A final note on rationalization. Ultimately, everything is measurable, and although the standard methods of performance assessment employ traditional statistical indices such as: number of matches, number of innings, number of runs scored, average per innings, centuries and half centuries scored, these traditional indices are insufficient in settling arguments of comparison, prompting the need for new 'separators? such as: the Reliability Factor, the Home-Away Ratio, the Contributory Factor, the Domination Effect, the Run-Spread Factor and the Captaincy Effect.

We applied a weighting factor to the qualitative elements. The adoption of a value-weighted approach to qualitative factors is not novel. Scientific analyses have, in the past, examined such performance elements as the Halo Effect; the Peer Rating; and Personality Characteristics Distinctions. From the body of data available to us, we assembled additional blocks of qualitative constructs. These included: the Presence/Aura Effect, the Turnstile Factor, Style Comparison, Media Perception, Home Appeal, International Appeal, Pressure Handling Rating.

Arriving at our data terminus, we encountered some well-trodden fundamental facts:

Table 1- Standard Comparison

Richards Lara

Tests

Innings

Runs

Hundreds

Fifties

Average

Richards

121

182

8540

24

45

50.24

Lara

117

206

10818

30

46

54.09

Proceeding to less familiar territory we found ourselves confronted by our own constructs.

The Reliability Factor

Table 2(a) - Year-by-Year Performance

RICHARDS

Year

Matches

Innings

50s

100s

Highest Score

Runs

Average

1974

3

5

0

1

*192

261

65.25

1975

7

12

1

0

50

210

19.09

1976

11

19

5

7

291

1710

90.00

1977

5

9

2

0

92

257

28.56

1978

2

2

0

0

39

62

31.00

1979

2

2

1

1

140

236

118.00

1980

10

14

7

2

145

893

68.69

1981

5

7

0

2

*182

342

57.00

1982

2

4

1

0

50

158

39.50

1983

11

15

3

2

120

588

39.20

1984

15

21

3

3

208

862

45.37

1985

4

6

2

1

105

310

62.00

1986

8

11

3

1

*110

506

50.60

1987

6

8

1

1

*109

300

42.86

1988

11

17

6

2

146

867

51.00

1989

6

9

2

1

110

287

35.88

1990

3

5

1

0

70

141

28.20

1991

10

16

7

0

80

550

39.29

LARA

Year

Matches

Innings

50s

100s

Highest Score

Runs

Average

1990

1

2

0

0

44

49

24.50

1992

3

6

3

0

64

195

32.50

1993

7

10

3

1

277

586

58.60

1994

8

14

4

2

375

996

71.14

1995

12

20

6

4

179

1222

67.89

1996

5

9

1

0

74

226

25.11

1997

12

21

3

3

132

859

40.90

1998

9

15

5

0

93

608

43.43

1999

8

15

4

3

213

832

59.43

2000

9

17

1

2

182

497

29.24

2001

9

18

4

3

221

1151

63.94

2002

7

10

3

0

73

351

35.10

2003

10

19

5

5

209

1344

74.67

2004

12

21

4

3

*400

1178

58.90

2005

5

9

0

4

196

724

80.44

Table 2(b) - Success-Failure Ratio

RICHARDS

Successes- Failures

Innings

(%) of Career Innings

Not Outs

Total Runs Scored

Average

(%) of Career total runs.

Scores of 100 or more

24

13.2%

5

3536

186.11

41.4%

Scores of 50-99

45

24.7%

3

3073

73.17

36%

Scores of Less than 50

113

62.1%

4

1931

17.76

22.6%

LARA

Successes- Failures

Innings

(%) of Career Innings

Not Outs

Total Runs Scored

Average

(%) of Career total runs.

Scores of 100 or more

30

14.6%

2

5205

185.89

48.1%

Scores of 50-99

46

22.3%

1

3268

72.62

30.2%

Score of less than 50

130

63.1%

3

2345

18.46

21.7%

Table 3 - The Convertibility Factor

RICHARDS

Innings

Scores of 50 or more

Ratio (%)

182

69

37.91

LARA

Innings

Scores of 50 or more

Ratio (%)

206

76

36.89

Table 4 - Batting Contribution to Team Result

RICHARDS

Match/Series Result

No. of Matches/Series

Runs

Highest Score

Average

100s

50s

(%)of Career total runs

Matches Won

63

4300

291

52.43

12

22

50.4%

Matches Drawn

39

3043

232

60.86

10

16

35.6%

Matches Lost

19

1197

177

31.50

2

7

14.0%

Series Won

21

6736

291

53.88

21

33

78.9%

Series Drawn

7

1378

123

40.52

2

10

16.1%

Series Lost

1

426

101

38.72

1

2

5%

LARA

Match/Series Result

No. of Matches/Series

Runs

Highest Score

Average

100s

50s

(%)of Career total runs

Matches Won

32

2929

213

61.02

8

16

27.1%

Matches Drawn

31

3235

400*

73.52

10

9

37.9%

Matches Lost

54

4654

221

43.09

12

21

35%

Series Won

13

3683

375

58.46

9

18

34%

Series Drawn

6

1907

213

68.10

8

6

17.6%

Series Lost

25

5228

400*

47.96

13

22

48.4%

Table 5 - Series Domination Regularity
RICHARDS

Type of Test Series

Number of series played (by matches)

No. of Series Dominated (100 runs per test match)

(%) of series dominated

2 Match Series

3

0

0%

3 Match Series

5

1

20%

4 Match Series

7

2

29%

5 Match Series*

12

0

0%

6 Match Series

2

0

0%

TOTAL

29

3

10.3%

LARA

Type of Test Series

Number of series played (by matches)

No. of Series Dominated (100 runs per test match)

(%) of series dominated

2 Match Series

9

2

22%

3 Match Series

5

2

40%

4 Match Series*

6

4

67%

5 Match Series

9

1

11%

6 Match Series

2

1

50%

TOTAL

31

10

32.3%

Table 6 - The Adaptability Factor
RICHARDS

Position

Innings

50s

100s

Highest Score

Runs

Average

Opening

4

2

1

101

279

69.75

No. 3

59

14

12

291

3508

61.54

No. 4

41

9

4

*182

1566

41.21

No. 5

63

18

6

208

2720

47.72

No. 6

10

2

1

105

390

39.00

No. 7

2

0

0

23

35

17.50

No. 8

3

0

0

33

42

21.00

LARA

Position

Innings

50s

100s

Highest Score

Runs

Average

Opening

2

1

0

91

111

55.50

No. 3

59

12

7

*400

3244

58.98

No. 4

131

30

22

277

6927

53.28

No. 5

12

3

1

*153

514

46.73

No. 6

1

0

0

8

8

8.00

No. 7

--

--

--

--

--

--

No. 8

1

0

0

14

14

14.00

Table 7 - Run Spread Factor

RICHARDS

Opponent

Matches

Innings

50s

100s

Highest Score

Average

Runs

(%) of Total Career Innings Played

(%) of Total Career Runs Scored

34

54

14

5

208

44.43

2266

29.7

26.5

36

50

15

8

291

62.37

2869

27.5

33.6

28

41

7

8

*192

50.71

1927

22.5

22.7

7

10

2

1

105

43.00

387

5.5

4.5

16

27

7

2

123

41.96

1091

14.8

12.7

LARA

Opponent

Matches

Innings

50s

100s

Highest Score

Average

Runs

(%) of Total Career Innings Played

(%) of Total Career Runs Scored

27

50

11

8

277

51.46

2470

24.3

22.8

2

2

1

1

120

86.50

173

0.9

1.6

30

51

11

7

*400

62.15

2983

24.8

27.6

13

21

6

1

103

37.67

791

10.2

7.3

8

12

4

1

147

51.17

614

5.8

5.7

9

17

2

2

153

42.65

725

8.3

6.7

18

35

9

4

202

49.00

1715

17.0

15.9

8

14

2

5

221

86.54

1125

6.8

10.4

2

4

0

1

191

55.50

222

1.9

2.0

Table 8 - Away-Home Balance Ratio

RICHARDS

Venue

Matches

Innings

50s

100s

Highest Score

Runs

Average

Ratio

Away- Home Balance

Away

73

115

31

13

291

5404

50.50

64%

1.78

Home

48

67

14

11

*182

3136

49.78

36%

LARA

Venue

Matches

Innings

50s

100s

Highest Score

Runs

Average

Ratio

Away- Home Balance

Away

61

103

26

16

277

6006

61.29

44%

0.80

Home

56

103

20

14

*400

4812

47.18

56%

Table 9 - The Captaincy Effect
RICHARDS

Captain

Not-Captain

Matches

50

71

Innings

74

112

Runs

3068

5472

Average

45.12

53.64

100s

6

18

50s

23

22

% of Team Total

12.9%

15.7%

LARA

Captain

Not-Captain

Matches

40

77

Innings

72

134

Runs

4026

6792

Average

59.21

51.45

100s

11

19

50s

18

28

% of Team Total

20.4%

17.8%

Rationalization & Results

Table 2(a) - Reliability Factor - Year-by-Year Performance

We have used as our benchmark a minimum aggregate of 500 runs per year. Table 2(a) shows Lara achieving this standard 66% of the years he has played, whereas Richards achieves the minimum milestone 39% of the years he played. Further, Lara's performance troughs are not as deep as Richards?, suggesting a greater year-to-year reliability.

Table 2(b) - Reliability Factor - Success /Failure Ratio

Table 2(b) depicts the frequency of batting successes and failures. Elsewhere, we have shown the rate of successful innings conversions called the Convertibility Factor (Table 3). Table 2(b), however is intended to measure the frequency of batting failures on which the two batsmen are also being judged. In this respect, Richards? failure of (62.1%) is marginally less than Lara's (63.1%).

Table 3 - Convertibility Factor

Table 3 presents data that are used to determine the rate at which the two batsmen converted an innings into a score of 50 and over. This follows logically from the results of Table 2(b) that measured the rate of failure. The distinction however is not redundant, in that it is possible for one batsman to achieve a higher success aggregate by virtue of bigger scores. Lara's scores of 100 and over were larger and more consistent than Richards?, but Richards? intermediate scores of 50 to 99 were more frequent.

Table 4 - Batting Contribution to team

Table 4 highlights the relative contributions to the team's match and series results. The emphasis is on batting averages of course, in that aggregate runs is simply a reflection of total matches played, whether they be victories, draws or losses. While Richards would have played in nearly twice as many victorious matches and series than Lara, Lara averages more per innings than Richards in his matches and series with victorious results. By the same token Lara averages more per innings in match and series than Richards.

Table 5 - Series Domination Regularity

For the purposes of this comparison, a series is defined by the number of matches played by the two batsmen, e.g.: Richards in 1976 played *four out of the five tests in the tour to . Similarly, on 's 2005 tour to the , Lara played in *three of the four tests. The numbers indicate that Lara's domination of various series he has played, being heavier than Richards?.

Table 6 - Adaptability Factor

It would not be harmful to the comparison exercise if we were to select a cluster of those batting positions that the two batsmen occupied most often. These positions would naturally be 3, 4 and 5. Overall, Richards? performances in these positions demonstrate a somewhat higher degree of adaptability.

Table 7 - Run Spread Factor

The benchmark here is the attainment of a minimum career average of 50 against the opposing country. The numbers show Lara prevailing with a batting average of over 50 against six out of the nine test countries he has played against. Richards played against fewer countries- five- and achieved the minimum against two of those countries.

Table 8 - Away-Home Balance Ratio

Presents data on the away-home balance ratio. The away-home balance ratio is the percentage differential between the runs scored overseas (expressed as a percentage of overall career runs scored) and runs scored at home (also expressed as a percentage of overall career runs scored). A higher weighting is given to away performances. Richards, with a positive away differential of 28%, surpasses Lara's negative away differential (-) 12%.

Table 9 - The Captaincy Effect

The statistical level reveals a higher level of performance as captain by Lara: a higher percentage contribution to team; a higher batting average; and although he batted two innings less as captain than Richards, his batting aggregate is nearly a 1000 runs more.

Results

The foregone quantitative analysis places Lara ahead. In Part 3 we will examine, with judicious reference to James, the qualitative factors. Our findings with will be tempered by a sampling of popular opinion, before arriving at the final verdict.

(To be continued).