March 27, 2010

The amazing symmetry of Tests, ODIs, and Twenty20s

A stats analysis of the scoring rates in Tests, ODIs and Twenty20 internationals

Adam Gilchrist: quicker than the rest in all formats © AFP

Man cannot have deliberately designed three forms of the game of cricket with more symmetry in their relative run rates than he has done so.

With the first international Twenty20 match being played in February, 2005, the three forms of the game have co-existed together since then, challenging batsmen to adapt to the vastly different conditions that each brings to the contest.

Since that time, Test cricket, with no limit on the length of an innings, has produced runs at the rate of 3.34 runs per over, (compared with a run rate of 2.74 runs per over in all Tests to that point).

One-day internationals, played for the most part over 50 overs per innings, have an overall scoring rate of 5.01 runs per over since 2005, (compared to a rate of 4.57 runs per over in the first 34 years of their existence).

Twenty20 cricket, played over 20 overs per innings, has offered runs at the furious rate of 7.53 runs per over in the first 140 matches.

What is remarkably symmetrical about these run rates since 2005 is this: the run rate in ODIs has been almost exactly 50 per cent higher than the run rate in Tests. Not 49 percent, not 51 percent, but 50 percent.

As if this is not remarkable enough, when we do a similar calculation between the run rates of ODI and T20 matches, we find again that the run rate in T20 matches is almost exactly 50 percent higher than that for ODIs. 50.3 percent, to be precise.

This symmetry in the run rates between the three forms of the game is so perfect that is appears to have been deliberately engineered. We know, of course, that it wasn't.

These 50 percent increments can be used as a benchmark to track the adaptability of individual batsmen who have played the three forms of the game.

I then became interested in finding ways to measure how individual batsmen fared against these benchmarks. I looked at six Australians who played extensively in all three since 2005, Ricky Ponting, Mike Hussey, Adam Gilchrist, Andrew Symonds, Michael Clarke and Matthew Hayden.

The most adaptable of this group appears to be Mike Hussey, whose respective scoring rates in Tests, ODIs and T20s since 2005 have been 2.90, 5.30 and 8.32 runs per over. That gives him an overall increase from Tests to T20s of 287 percent, well above the 225 percent that would be achieved if he had just managed 50 percent increases up the line.

The lowest overall gain, 171 percent, was achieved by Adam Gilchrist (4.96, 6.16, 8.50), although he is somewhat penalised by his high Test run rate, where he tended to bat as though it was a limited overs match. The other player who has clearly had problems forcing the run rate is Michael Clarke (3.14, 4.55, 6.28). His figures show that he has only managed to double his Test run rate when playing T20 cricket, well below par.

Player Test run rate ODI run rate T20 run rate Overall increase (%)
Ricky Ponting 3.69 5.05 7.97 216
Michael Clarke 3.14 4.55 6.28 200
Michael Hussey 2.90 5.30 8.32 287
Adam Gilchrist 4.96 6.16 8.50 171
Andrew Symonds 3.96 5.67 10.16 257
Matthew Hayden 3.36 4.96 8.64 257

As an alternative, and to overcome the penalty suffered by Gilchrist in particular for scoring so quickly at Test level, I then calculated three ratios for each player, and then multiplied those ratios together. The three ratios were the degree each player exceeded, or failed to exceed, the overall scoring rate for each class of cricket.

Ponting, for example, had a ratio of 1.10 for Test cricket, 1.11 for ODIs and 1.06 for T20s. The product of those three ratios is 1.29.

Doing this for the six batsmen provides the following:

Ricky Ponting 1.29
Michael Clarke 0.78
Michael Hussey 1.11
Adam Gilchrist 2.26
Andrew Symonds 1.98
Matthew Hayden 1.25

This method confirms Gilchrist's position as a premier run-scoring batsman, and consigns Michael Clarke to where he should be.

I hope this initial foray into analysing scoring rates over different classes of cricket might lead to some more sophisticated and extensive work by others!

Comments have now been closed for this article

  • testli5504537 on April 6, 2010, 5:57 GMT

    Brilliant analysis! the 1.5 ratios are terrific... would love to see how they go each year...

  • testli5504537 on April 1, 2010, 4:41 GMT

    Pretty neat, Ric.

    I'd love to do a D-L type analysis at some point that takes into account the match situation when these players batted. Easier said than done, I know!

  • testli5504537 on March 30, 2010, 12:00 GMT

    @ Tommy P

    Based on the data that I pulled from Statsguru, Gayle is 8th on the list with a ratio of 1.43. Pietersen is 10th with 1.30

    The complete top 10 are

    Afridi Sehwag Gilchrist Symonds Jayasuriya Yuvraj Dilshan Gayle McCullum Pietersen

    Cook & Samaraweera don’t feature on my list of 42 as they haven’t played enough T20 matches to qualify.

    Other notable players who are “below average” in terms of SR are;

    Shoaib Malik 0.74 Kallis 0.76 Sarwam 0.80

    Hope this helps

  • testli5504537 on March 29, 2010, 12:39 GMT

    Interesting stuff Ric.

    I used StatsGuru to pull out the top run scorers in each of the 3 formats since Feb 2005 and I limited my analysis to only those players who appear in the top 100 run scorers in all 3 – this leaves 42 players in all.

    I seem to have slightly different numbers to you for the Aussies in my list (maybe because StatsGuru includes matches like the ICC vs Aus and other similar non-country v country matches? Maybe also some rounding?)

    That said, the top 5 players based on your combined ratio method are:

    Afridi 3.75 Sehwag 2.55 Gilchrist 2.06 Symonds 1.83 Jayasuriya 1.64

    The bottom 3 are:

    Chanderpaul 0.54 Salman Butt 0.56 Tamim Iqbal 0.69

    Gautam Gambhir seems to be the most consistently average player in terms of SR, his overall ratio is exactly 1 and each individual ratio is between 0.97 and 1.03.

  • testli5504537 on March 29, 2010, 3:19 GMT

    Nice analysis! Please extend it to some of the other top players - how do the likes of Sehwag, Gayle and Pietersen compare to Gilchrist? What about supposed go-slow merchants like Cook, Sameraweera et al?

  • testli5504537 on March 28, 2010, 20:19 GMT

    Great observation, Ric. Fact again turns out stranger than fiction!

  • testli5504537 on March 28, 2010, 18:29 GMT

    Insightful. Wondering if the same analysis could be done for bowlers. Guessing Murali to be at the top of the list.

  • testli5504537 on March 28, 2010, 17:35 GMT

    Amazing stuff!

    I actually thought ODI scoring rates would be closer to 6, but that may be because I am from india. Almost every match here has both teams crossing 300.

  • testli5504537 on March 28, 2010, 9:15 GMT

    This is great. It squarely highlights the scoring rate compared to the average player. However, please now multiply the ratios per form of the game with a ratio that focuses on their batting average per form of the game (against some average). This should provide (a.) a rate and (b) a result in order to get an effectiveness for each player. This should spread the results even more.

  • testli5504537 on March 28, 2010, 8:16 GMT

    Very interesting article indeed!

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