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November 6, 2009

Posted by Ananth501 at in ODIs

What's a reasonable winning score in ODIs?





Sachin Tendulkar's outstanding 175 against Australia in Hyderabad meant another huge total was almost chased down © Getty Images
I did an analysis on a winning target score in T20s and many subsequent matches showed how close the results of my analysis were. So I have embarked on doing a similar analysis for ODI matches. For ODIs there are a lot more matches available for analysis.

First some exclusions. For obvious reasons, I am going to exclude "Abandoned" matches, "No-result" matches (100 in all), matches which were decided on previous "revised score" rules (56 matches ), the more recent "Duckworth-Lewis" rules (101 matches) and a few incomplete innings. The reason is that the D/L and similar situations distort the scores quite a bit. If a team scores 300 and loses to another team which scores 150 in 20 overs, nothing can be inferred from the match. That leaves us 2659 matches for analysis.

I have taken the first innings scores, grouped these into run ranges and tabulated the results. Then I have derived some conclusions on winning target scores by inspecting and interpreting the results.

Let me say that this is a macro analysis. I would appreciate readers understanding this and avoid making comments such as target winning score depending on bowler quality, toss, day-night, team strength et al. All these have been considered in the past and will be considered in future. Let us give a break to these in this article.

The analysis has been done for the following sets of matches.

1. All matches.
2. Starting period matches.
3. Middle period matches.
4. Modern period matches.
5. Matches in Asian sub-continent.
6. Matches outside Asian sub-continent.

I tried analysing this for the countries, but did not get far since the number of matches played comes down and the number of matches in each run group becomes so small that it is impossible to derive any conclusions. In fact for a country such as New Zealand the % of wins for 240-249 is 81.2% and for 250-259 is 60.0%. Such inconsistencies make a country-level analysis a non-starter. Only for Australia, with 472 matches, could this be done with some level of confidence.

How does one define what is a winning score? I have worked on the basis that a score which gives the team a winning possibility of around 60% can be considered a winning target score. Anything lower will not give the team any edge in the long run and aiming for much higher than 60% might backfire on the team in that they might aim for 300 and end up with 220.

1. All matches

FBatScore  Matches   Wins  % wins AvgeWinMargin

Below 125     108      4     3.7     12.8
125 - 149     140     13     9.3     25.9
150 - 174     221     36    16.3     29.6
175 - 199     334     82    24.6     34.0
200 - 219     339    134    39.5     46.0
220 - 229     198     94    47.5     42.4
230 - 239     196    104    53.1     45.8
240 - 249     191    110    57.6     55.4
250 - 259     166    100    60.2     59.3
260 - 279     294    217    73.8     62.3
280 - 299     204    157    77.0     80.2
Above 300     268    243    90.7    101.5

Total        2659   1294    48.7     63.3
From a perusal of the above, it is a reasonable conclusion that a winning target score, based on the criteria already set, is around 250.

2. First period matches (1971-1989)

FBatScore  Matches   Wins  % wins AvgeWinMargin

Below 125      26      2     7.7      7.0
125 - 149      32      4    12.5     15.5
150 - 174      65     11    16.9     25.1
175 - 199      98     29    29.6     36.2
200 - 219      91     39    42.9     45.7
220 - 229      42     23    54.8     30.9
230 - 239      56     35    62.5     48.5
240 - 249      41     25    61.0     60.4
250 - 259      23     16    69.6     57.6
260 - 279      53     40    75.5     60.1
280 - 299      21     19    90.5     82.1
Above 300      16     16   100.0    122.7

Total         564    259    45.9     53.9
Things were tough for the batsmen during these early bowler-friendly times. Lower totals were defended more often than not. Hence the winning target score for this period was 235. Even this has been reached with the higher scores during late 1980s.

No team which scored 300+ runs finished on the losing side. The highest score successfully chased during this period was by New Zealand who overhauled England's score of 296 during 1983. India defended a total of 125 against Pakistan quite comfortably while Pakistan defended a total of 87 in 16 overs against India.

3. Middle period matches (1990-1999)

FBatScore  Matches   Wins  % wins AvgeWinMargin

Below 125      21      1     4.8     14.0
125 - 149      42      5    11.9     18.4
150 - 174      73     15    20.5     35.8
175 - 199     115     30    26.1     32.1
200 - 219     131     56    42.7     38.5
220 - 229      77     42    54.5     44.4
230 - 239      66     36    54.5     40.2
240 - 249      66     43    65.2     45.8
250 - 259      59     34    57.6     44.6
260 - 279      91     70    76.9     67.4
280 - 299      54     41    75.9     73.6
Above 300      61     57    93.4     91.6

Total         856    430    50.2     54.7
Things improved for batsmen during this period. Consequently the winning target score increased to around 240.

4 300+ totals were chased successfully. Australia defended a total of 101 in 30 overs against West Indies.

4. Modern period matches (2000-2009)

FBatScore  Matches   Wins  % wins AvgeWinMargin

Below 125      61      1     1.6     23.0
125 - 149      66      4     6.1     45.8
150 - 174      83     10    12.0     25.2
175 - 199     121     23    19.0     33.8
200 - 219     117     39    33.3     57.1
220 - 229      79     29    36.7     48.6
230 - 239      74     33    44.6     49.1
240 - 249      84     42    50.0     62.1
250 - 259      84     50    59.5     69.9
260 - 279     150    107    71.3     59.8
280 - 299     129     97    75.2     82.6
Above 300     191    170    89.0    102.8

Total        1239    605    48.8     73.5
In the modern times, many more high totals were chased successfully. This effect percolated down and the winning target score could be pegged at 260.

300+ chases were commonplace with South Africa's overtaking Australian score of 434 being the highlight. West Indies defended a total of 124 in 30 overs against Bangladesh.

5. Asian sub-continent matches

FBatScore  Matches   Wins  % wins AvgeWinMargin

Below 125      31      2     6.5      7.0
125 - 149      52      1     1.9     38.0
150 - 174      81     17    21.0     26.9
175 - 199     121     31    25.6     41.5
200 - 219     123     54    43.9     41.8
220 - 229      74     31    41.9     47.7
230 - 239      80     43    53.8     48.3
240 - 249      72     38    52.8     52.8
250 - 259      58     39    67.2     39.5
260 - 279     118     90    76.3     61.5
280 - 299      91     67    73.6     80.6
Above 300     104     95    91.3     94.1

Total        1005    508    50.5     61.1
The winning target score for the Asian sub-continent is around 255. It is not easy to defend low totals on these batting-friendly pitches.

6. Outside Asian sub-continent matches

FBatScore  Matches   Wins  % wins AvgeWinMargin

Below 125      77      2     2.6     18.5
125 - 149      88     12    13.6     24.9
150 - 174     140     19    13.6     31.9
175 - 199     213     51    23.9     29.5
200 - 219     216     80    37.0     48.9
220 - 229     124     63    50.8     39.8
230 - 239     116     61    52.6     44.1
240 - 249     119     72    60.5     56.7
250 - 259     108     61    56.5     72.0
260 - 279     176    127    72.2     62.9
280 - 299     113     90    79.6     79.9
Above 300     164    148    90.2    106.2

Total        1654    786    47.5     64.8
Surprisingly the winning target score is the same as for Asian sub-continent. This has been caused by the way the New Zealand and English pitches have eased in recent times. The winning target score is around 250. Quite a few sub-150 totals have been defended.

Finally it can be seen that, barring the first period, the winning target score is either side of 250.

I started this article before the Hyderabad ODI between India and Australia, and fibnished it after the match. One more 300+ total (oh! a 350+ total) almost bit the dust. No score is safe, it looks like. However this match does not change this article a bit.

As requested by Khalil, I have done an analysis of the period 2005-09 and presenbted the table here.

7. Recent matches (2005-2009)

FBatScore  Matches   Wins  % wins AvgeWinMargin

Below 125      27      0     0.0      0.0
125 - 149      33      2     6.1     49.0
150 - 174      39      6    15.4     27.3
175 - 199      52     10    19.2     33.8
200 - 219      62     20    32.3     62.3
220 - 229      34      9    26.5     49.9
230 - 239      48     22    45.8     47.9
240 - 249      40     17    42.5     69.1
250 - 259      42     24    57.1     67.0
260 - 279      67     45    67.2     54.2
280 - 299      62     46    74.2     84.2
ABove 300     125    111    88.8    103.2

Total         631    312    49.4     76.6
The winning par score could be pegged at 265, 5 runs above the 2000s value. Otherwise the numbers have stayed similar to the 2000s values.

Comments (26)

April 28, 2009

Posted by Ananth501 at in ODIs

From dire collapses to respectability





Kapil Dev scripted one of the greatest rescue acts in ODIs, in the 1983 World Cup against Zimbabwe © Getty Images
Recently a tri-nation ODI tournament was held in Bangladesh. The teams were Sri Lanka, Bangladesh and Zimbabwe. The normal script for such tournaments runs like this. Sri Lanka blasts away the other two teams. These two teams trade blows and one of them emerges winner on points. Then the final is played. Sri Lanka wins by over 100 runs or by quite a few wickets with overs to spare.

The script was thrown out right at the beginning. Bangladesh lost to Zimbabwe, Zimbabwe lost to Sri Lanka and, with their backs to the wall, Bangladesh defeated Sri Lanka and the two teams qualified for the final.

In the final, Sri Lanka dismissed Bangladesh for 152 and everyone must have thought, "Ok, we are back to norrmalcy". Sri Lanka would win comfortably with many overs to spare. But, 30 minutes later, the score was 6 for 5 (or the Australians would have called 5 for 6). Jayasuriya went first ball, then Tharanga, Jayawardene, Kapugedara and Thushara were dismissed by the 8th over for 6 runs. Were we going to see Sri Lanka dismissed for the lowest total ever or Bangladesh win by over 100 runs. Slowly but surely Sri Lanka stabilised, still slumped to 114 for 8 but won through Muralitharan's heroics by two wickets.

My mind went back 26 years, to Tunbridge Wells. Almost a similar situation but a match of far greater significance.

I thought it would be a nice idea to look at such ODI recoveries over the years. There is something romantic about such recoveries from totally disastrous situations since invariably the late order batsmen come into play. There is also a wonderful innings played in most of these recoveries.

Let us first look at the criteria for selection of matches. The fun in this exercise is in setting up of the criteria for selection, which is very different to what I normally do. I have worked on the following criteria. The criteria has been decided after a few trial-and-error steps. At this stage the result is immaterial and is not one of the selection criteria.

1. From <20 for 4 to 200+ or
2. From <25 for 5 to 200+ or 
3. From <30 for 6 to 150+ or 
4. From <50 for 7 to 150+ or
5. From <50 for 8 to 150+ or
The results are tabulated below. Quite an interesting collection of matches. There are overlapping situations in couple of matches which have been marked.
2005 2273 Ind 44 for 8 to 164 all out ( 4.21) vs Nzl Lost
                                      
2000 1612 Pak 49 for 7 to 153 all out ( 3.12) vs Saf Lost
          (Earlier 19 for 6, 18 for 5 and 13 for 4)
                                      
2009 2794 Slk  6 for 5 to 153 for  8  (25.50) vs Bng Won
                                      
1983 0216 Ind 17 for 5 to 266 for  8  (15.65) vs Zim Won
          (Earlier 9 for 4)
                                      
1997 1248 Pak  9 for 4 to 262 for  9  (29.11) vs Saf Lost
2002 1906 Zim 13 for 4 to 210 all out (16.15) vs Pak Lost
2006 2335 Nzl 13 for 4 to 204 for  7  (15.69) vs Win Won
1996 1082 Aus 15 for 4 to 207 for  8  (13.80) vs Win Won
1988 0487 Ind 15 for 4 to 205 all out (13.67) vs Win Lost
2008 2702 Bng 16 for 4 to 210 all out (13.12) vs Pak Lost
1999 1473 Ind 17 for 4 to 205 all out (12.06) vs Aus Lost
2000 1622 Saf 19 for 4 to 206 for  7  (10.84) vs Aus Won
In the first match, India were reeling at 44 for 8 while chasing a meagre total of 215 in Bulawayo. Then the unlikely pair of JP Yadav and Irfan Pathan stepped in and took the total to 162, raising visions of an impossible win. Then Bond came back and dismissed Pathan and India lost by 51 runs. Bond's opening spell was one of the greatest ever. He finished with 6 for 19.

In the second match, Pakistan slumped to 18 for 5, 19 for 6, 49 for 7 (and 98 for 9), Terbrugge doing most of the damage. Azhar amd Mushtaq took the total to 153. This total was overhauled comfortably by South Africa.

We have talked enough earlier about the third match. This and the following match should rank among the greatest of recoveries especially as the teams won.

Now we come to the match, which, if it had been scripted by a writer, would have been labelled impossible. India were reeling at 9 for 4 and then 17 for 5 against Zimbabwe at Tunbridge Wells. Then Kapil Dev played one of the greatest ODI innings ever of 175 not out and took India to 266 for 8. The rest was history. India defeated Zimbabwe and went on to win the World Cup, the greatest of India's cricket achievements. The importance of this recovery cannot be over-emphasised since a loss would have meant a possible exit from the World Cup.

Then come a host of recoveries from nothing-for-4 situations. The most important among these matches is match # 1082, which was the World Cup 1996 Semi Final. Australia were facing a still strong West Indies. Ambrose and Bishop reduced them to 15 for 4. Then Stuart Law, Bevan and Healy took them to a modest total of 207. West Indies, after being 165 for 2, were well and truly Warne'd, as he captured 4 for 36, and fell an agonizing 5 runs short. Australia reached the final, surprisingly lost but went on to win the next three World Cups and launch years of Australian domination.

My next article will be a long-awaited one, on Test batsmen across the ages.

Comments (10)

November 30, 2008

Posted by Ananth501 at in ODIs

An analysis of ODI matches





Ajantha Mendis' strike-rate of 16 has helped boost the overall strike-rate for spinners in recent years © AFP

This is a statistical summary of the 2784 matches which have been played over the past 36 years, somewhat similar to the Test analysis I had done earlier. Certain changes have been done to the analysis to bring out the nuances of ODIs. As I have indicated in earlier posts, these factors will be incorporated into the ODI batting and ODI bowling analysis which will be done henceforth.

I wanted to incorporate the Duckworth/Lewis (or its equivalent) calculations in ODI matches into the article. However I feel that it warrants a separate article in the light of the farce during the fourth ODI between India and England in Cuttack.

The six periods have been constructed taking into account the number of matches. It is possible minor adjustments will bring major rule changes in sync with the periods. However that would leave the number of matches unbalanced.

Let us get into the analysis of the tables. These tables are current upto ODI #2784, the fourth ODI between Zimbabwe and Sri Lanka.

1. Match analysis (Runs/Wkts per match, Rpo, Rpw)

Period    Mats  R/M  W/M  Rpo  Rpw|Mats   Balls    Runs   Wkts

1971-1983  230  386 14.1 4.17 27.4 | 230  127653   88731   3236
1984-1989  368  393 13.6 4.42 28.8 | 368  196071  144445   5017
1990-1995  429  400 13.8 4.43 29.0 | 429  232499  171613   5921
1996-2000  635  426 14.4 4.71 29.6 | 635  344424  270484   9147
2001-2005  647  426 14.1 4.85 30.1 | 647  340291  275350   9149
2006-2008  475  424 14.4 4.95 29.6 | 475  244589  201631   6820

All ODIs  2784  414 14.1 4.65 29.3 |2784 1485527 1152254  39290

The wickets per match has been reasonably steady over the years. There is a 10% increase over the past few years in the runs per match. However, the major change is in runs per over (rpo), which has shown an 18% increase over the years. The current rpo figure is about 10% over the all-time average. The runs per wicket has remained almost the same over the past 25 years.

There must be very little doubt the rpo has shown an increase primarily due to the change in the treatment of the opening overs and Powerplays.

2. Match/Inns Analysis (Low & High inns scores)

Period    %I<100  %I>300 %M>300x2 |Inns  I<100  I>300  M>300x2

1971-1983   7.41    2.86    0.00  | 455    10     13      0
1984-1989   5.49    0.55    0.00  | 729     9      4      0
1990-1995   4.44    2.23    0.47  | 853    10     19      2
1996-2000   1.98    5.48    1.73  |1259     8     69     11
2001-2005   5.77    7.72    2.01  |1283    24     99     13
2006-2008   6.47   10.87    3.58  | 938    20    102     17

All ODIs    4.90    5.55    1.54  |5517    81    306     43

The percentage of (all out) innings below 100 follows a peculiar pattern. It’s very high during the two end periods and very low during one particular period (1996-2000). Frankly, I cannot explain the sub-2% figure.

The 300-plus total, after being virtually non-existent during the 1980s, has now moved to over 10%. In other words, more than one in every 10 innings is a 300-plus innings. The batsmen never had it so good. Spare a thought for the bowlers, shackled in every which way.

I am intrigued when I look at the last few years. There is a high percentage of totals below 100 and an extraordinarily high number of totals above 300. Maybe it indicates a number of weak teams and a few strong teams.

The first match in which both teams exceeded 300 runs occurred in 1992 between Zimbabwe and Sri Lanka in New Plymouth. Since then it has happened quite frequently, with high number of occurrences in recent years.

3. Opening partnerships analysis

Period    Open OP100+ OPSub10   |OpPShps 100+ Sub10  Runs

1971-1983 34.9   7.0%   25.5%   |   455   32   116  15863 
1984-1989 34.9   6.3%   27.0%   |   729   46   197  25461 
1990-1995 35.8   7.3%   26.7%   |   853   62   228  30507 
1996-2000 35.3   6.8%   26.9%   |  1259   85   339  44462 
2001-2005 34.5   8.1%   30.6%   |  1283  104   392  44226 
2006-2008 33.7   7.0%   32.4%   |   938   66   304  31621 

All ODIs  34.8   7.2%   28.6%   |  5517  395  1576 192140 

The opening partnerships have averaged around 35 over the years with very little variations. Similarly there has been a 7% occurrence of 100-plus opening partnerships through the different periods. It is only in the failed opening partnerships that there has been a significant 20-25% increase during the current decade. This may again be a reflection of more weaker teams.

4. Extras Analysis - per 300 balls (Extras/Byes/Leg-byes/No-balls/Wides)

Period    E/3b B/3b L/3b N/3b W/3b|Extras Byes Leg-byes No-balls 
Wides

1971-1983 15.1  1.8  8.0  2.7  2.6|  6446  780   3419   1137   
1110
1984-1989 16.9  1.8  8.4  2.5  4.2| 11031 1161   5520   1605  
2745
1990-1995 16.9  1.1  7.2  2.7  6.0| 13060  834   5547   2063   
4616
1996-2000 17.7  1.0  6.0  3.1  7.6| 20325 1153   6901   3547   
8724
2001-2005 17.9  1.0  5.4  3.4  8.1| 20278 1142   6071   3879   
9171
2006-2008 17.4  1.0  5.1  2.4  8.9| 14172  800   4143   1970   
7244

All ODIs  17.2  1.2  6.4  2.9  6.8| 85312 5870  31601  14201  
33610

This time I have computed the extras per 300 balls, as it constitutes being a normal completed innings. The extras per 300 balls has remained fairly static over the years. Byes have dropped significantly after the first two periods and then remained static. This has occurred despite the wicketkeeper standing up to a number of medium-pacers. Similarly, the leg-byes per match was quite high during the first two periods and then dropped off. One possible reason could be the deployment of more spinners after the initial two periods.

The number of wides per 300 balls has increased drastically over the years, certainly because of very strict interpretation of wides by the umpires. It is true the number of off-side wides has increased significantly over the past few years. Also, virtually no allowance is given for any leg-side deviation.

Now we come to no-balls. Very interesting indeed. The last three years has seen a drastic drop in no-balls per match. This is not because the bowlers have suddenly become more attentive about where to land their feet. The reduction has been primarily caused by the free-hit rule, which penalises bowlers to a great extent. While not accepting that this is necessarily a correct law change - it penalises an already-beleagured bowler more - there is no denying the bowlers are now a lot more careful about overstepping.

The recent rule changes also mean that there are more transgressions covered for declaring no-balls, such as short deliveries and deliberate high full tosses. This would also contribute to the increase in no-balls.

5. Results Analysis - (Results/HomeWins/AwayWins/NoRes)

Period    FbtW SbtW OthW NoRes |Mats  FbtW  SbtW  OthW  NoRes

1971-1983 47.8 48.3  0.4  3.5  | 230   110   111     1     8
1984-1989 42.9 53.0  0.5  3.5  | 368   158   195     2    13
1990-1995 51.0 44.5  0.0  4.4  | 429   219   191     0    19
1996-2000 46.5 49.1  0.2  4.3  | 635   295   312     1    27
2001-2005 49.3 46.2  0.2  4.3  | 647   319   299     1    28
2006-2008 46.1 49.1  0.0  4.8  | 475   219   233     0    23

First a summary of the "Other wins" matches.

ODI # 56: Conceded by India against Pakistan as a gesture of protest.
ODI # 435: India defeated Pakistan on the basis of losing fewer wickets.
ODI # 522: Pakistan defeated Australia on the basis of losing fewer wickets.
ODI # 1081: Sri Lanka won by default against India because of Calcutta
crowd disturbances.
ODI # 1724: Conceded by England against Pakistan as a sporting gesture.

During two of the periods (early 1990s and early 2000s), the teams batting first won more matches than teams chasing. During the other four periods, more teams have won chasing than defending. Overall also there seems to be an edge for the team batting second. This difference seems to be more pronounced during the past few years. The number of "No results" has also increased significantly, probably caused by the obsession to play matches during all 12 months, irrespective of weather conditions.

1. Batting analysis (Right & Left)

Period    R-Avg L-Avg T-Avg|R-Inns R-Runs|L-Inns L-Runs|T-Inns 
T-Runs

1971-1983 25.00 27.21 25.48| 3125   63208|  847   19077| 3972   
82285
1984-1989 26.99 24.89 26.60| 5174  110394| 1110   23020| 6284  
133414
1990-1995 26.20 28.50 26.80| 5514  114697| 1844   43856| 7358  
158553
1996-2000 25.59 31.74 27.39| 7980  165169| 3211   84990|11191 
 250159
2001-2005 26.64 30.95 27.90| 8068  172554| 3184   82518|11252  
255072
2006-2008 26.53 30.20 27.51| 6145  132316| 2189   55143| 8334  
187459

All ODIs  26.23 29.86 27.18|36006  758338|12385  308604|48391 
1066942

Barring the first period, the batting average seems to have settled around a value of 27.

As in Test matches, the left-handers have a higher average (by a margin of 15%). Most of the reader comments on this topic will be applicable. Note the very high average for left-handers during the most recent period.

2. Batting analysis 2 (Batting strike-rate - Left & Right)

Period    R-SR L-SR T-SR|R-Runs R-Balls|L-Runs LBalls| T-Runs 
T-Balls

1971-1983 63.6 64.5 63.8| 63208   99457| 19077  29586|  82285  
129043
1984-1989 68.0 64.0 67.2|110394  162407| 23020  35986| 133414  
198393
1990-1995 67.1 68.0 67.3|114697  170985| 43856  64480| 158553  
235465
1996-2000 70.8 73.8 71.8|165169  233336| 84990 115219| 250159  
348555
2001-2005 73.4 75.9 74.2|172554  235245| 82518 108727| 255072  
343972
2006-2008 76.3 75.7 76.1|132316  173455| 55143  72877| 187459  
246332

All ODIs  70.6 72.3 71.0|758338 1074885|308604 426875|1066942
1501760

The scoring-rate was quite low during the first three periods and has now picked up to be around the 76-mark. There is a significant variation of around 20% over the years. Barring one period, the left-handers seem to be scoring slightly faster than right-handers.

3. Bowling analysis 1 (Bowling average - Pace & Spin)

Period    P-Avg S-Avg T-Avg|PWkts  PRuns|SWkts  SRuns| TWkts  
TRuns

1971-1983 27.49 34.51 28.64| 2402  66042|  471  16254| 2873  
 82296
1984-1989 30.50 34.86 31.63| 3227  98432| 1124  39185| 4351  
137617
1990-1995 30.84 36.13 32.25| 3754 115771| 1369  49460| 5123  
165231
1996-2000 31.69 34.93 32.76| 5357 169762| 2653  92665| 8010  
262427
2001-2005 31.20 35.88 32.50| 5896 183949| 2277  81697| 8173  
265646
2006-2008 31.24 33.56 31.77| 4734 147904| 1386  46509| 6120  
194413

All ODIs  30.82 35.10 31.97|25370 781860| 9280 325770|34650 
1107630

The bowling average follows the same pattern as batting strike-rate. Quite low during the first period and then plateauing around 31 during the next five periods.

As expected the averages for pace bowlers are lower - only over 10% - when compared to spinners. The last period, however, has seen a narrowing of this gap. The trend of depending on spinners has also picked up as evidenced by the recently concluded Zimbabwe-Sri Lanka series, where both teams had two fast bowlers and an assortment of four to five spinners.

4. Bowling analysis 2 (Bowling strike-rate - Pace & Spin)

Period    P-SR S-SR T-SR|PWkts  PBalls|SWkts SBalls| TWkts
TBalls

1971-1983 43.2 50.7 44.4| 2402  103758|  471  23895| 2873 
127653
1984-1989 43.7 48.9 45.1| 3227  141092| 1124  54979| 4351  
196071
1990-1995 43.8 49.8 45.4| 3754  164280| 1369  68219| 5123  
232499
1996-2000 41.5 46.0 43.0| 5357  222455| 2653 121969| 8010  
344424
2001-2005 39.2 46.7 41.3| 5896  230917| 2277 106387| 8173 
337304
2006-2008 38.3 43.8 39.5| 4734  181269| 1386  60668| 6120  
241937

All ODIs  41.1 47.0 42.7|25370 1043771| 9280 436117|34650 
1479888

Surprisingly, there seems to be a distinct improvement of bowler strike-rates during the past few years. Again, one cannot but point to the number of weak teams playing one-day cricket.

The strike-rate for pace bowlers are 15% better those for spinners. Recently, spinners seem to be striking better, no doubt aided by Ajantha Mendis, who has taken 48 wickets in his first 17 matches at a strike-rate of a wicket every 16 balls. (Yes, you read it right, 16.)

5. Bowling analysis 3 (Bowling rpo - Pace & Spin)

Period    PRpo SRpo TRpo| PRuns  PBalls| SRuns SBalls|  TRuns 
TBalls

1971-1983 3.82 4.08 3.87| 66042  103758| 16254  23895|  82296  
127653
1984-1989 4.19 4.28 4.21| 98432  141092| 39185  54979| 137617  
196071
1990-1995 4.23 4.35 4.26|115771  164280| 49460  68219| 165231  
232499
1996-2000 4.58 4.56 4.57|169762  222455| 92665 121969| 262427  
344424
2001-2005 4.78 4.61 4.73|183949  230917| 81697 106387| 265646  
337304
2006-2008 4.90 4.60 4.82|147904  181269| 46509  60668| 194413  
241937

All ODIs  4.49 4.48 4.49|781860 1043771|325770 436117|1107630 
1479888

The rpo seems to have increased by about 5% during recent years - not a very big change. The surprise is that the all-matches rpo figure for pace bowlers and spinners is almost the same.

6. Dismissals analysis

a. Bowled - (% and per match)

Period   Bowled  Wkts  % of Tot Bow/Mtch

1971-1983   813  2873     28.3     3.5 
1984-1989  1177  4351     27.1     3.2 
1990-1995  1201  5123     23.4     2.8 
1996-2000  1771  8010     22.1     2.8 
2001-2005  1762  8173     21.6     2.7 
2006-2008  1251  6120     20.4     2.6 

All ODIs   7975 34650     23.0     2.9 

b. Lbw - (% and per match)

Period   Lbw    Wkts  % of Tot Lbw/Mtch

1971-1983   289  2873     10.1     1.3 
1984-1989   382  4351      8.8     1.0 
1990-1995   497  5123      9.7     1.2 
1996-2000   820  8010     10.2     1.3 
2001-2005   932  8173     11.4     1.4 
2006-2008   752  6120     12.3     1.6 

All ODIs   3672 34650     10.6     1.3 

c. Caught - (% and per match)

Period   Ct Others Wkts  % of Tot COt/Mtch

1971-1983  1234  2873     43.0     5.4 
1984-1989  1944  4351     44.7     5.3 
1990-1995  2336  5123     45.6     5.4 
1996-2000  3800  8010     47.4     6.0 
2001-2005  3843  8173     47.0     5.9 
2006-2008  2856  6120     46.7     6.0 

All ODIs  16013 34650     46.2     5.8 

d. Stumped - (% and per match)

Period   Stumped  Wkts  % of Tot Bow/Mtch

1971-1983    54  2873      1.9     0.2 
1984-1989   141  4351      3.2     0.4 
1990-1995   183  5123      3.6     0.4 
1996-2000   317  8010      4.0     0.5 
2001-2005   222  8173      2.7     0.3 
2006-2008   194  6120      3.2     0.4 

All ODIs   1111 34650      3.2     0.4 

e. Ct by Wk - (% and per match)

Period   Ct by Wk  Wkts  % of Tot CWk/Mtch

1971-1983   443  2873     15.4     1.9 
1984-1989   648  4351     14.9     1.8 
1990-1995   838  5123     16.4     2.0 
1996-2000  1183  8010     14.8     1.9 
2001-2005  1386  8173     17.0     2.1 
2006-2008  1016  6120     16.6     2.1 

All ODIs   5514 34650     15.9     2.0 

f. Runouts - (% and per match)

Period   Runouts   Wkts  % of Tot  RO/Mtch

1971-1983   356  2873     12.4     1.5 
1984-1989   661  4351     15.2     1.8 
1990-1995   793  5123     15.5     1.8 
1996-2000  1121  8010     14.0     1.8 
2001-2005   887  8173     10.9     1.4 
2006-2008   637  6120     10.4     1.3 

All ODIs   4455 34650     12.9     1.6 
Summarised comments on dismissals

1. While the drop is not as pronounced as Test matches, the percentage of batsmen bowled, which had been high during the first two periods, has fallen to around 20% now.

2. There has been a slight increase in the lbw percentage over the years - possibly reverse-swing coming into play.

3. As expected, the percentage of catches is quite high and has remained around 45% over the years.

4. The percentage of stumpings was quite high at 4% during the late 1990s but has slipped since then. Even now an attacking spinner like Mendis, with 48 wickets in 17 matches, seems to depend more on direct dismissals such as bowled and leg-before wicket.

5. Wicketkeeper catches have only varied slightly and are now a bit higher than the all-matches average percentage.

6. Run-outs peaked to over 15% during the decade 1985-1995 but have dropped off since then. Possibly the introduction of the third umpire seems to favour the batsmen in border-line decisions.

A separate article on Duckworth/Lewis will follow during the coming weeks.

Comments (16)

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