In the UK, you may be paying £100 or more to watch the England team play in a one day international (ODI). Based on the ODIs of recent years, you have around a one in ten chance of seeing a match with a tight, even thrilling climax. On the other hand, you are three times as likely to see one of the teams trot to a comfortable victory (margin of over 100 runs or with ten or more overs to spare).
The spectating experience depends on much more than whether the match delivers jeopardy to the very end. But the competitiveness of the format is topical and a feature that the game’s administrators appear to want to promote.
The evidence for my assertion that there is a one in ten chance of seeing a thrilling finish to an ODI can be reviewed in my post ‘Thrilling finishes and the 50 over game’. In this article, I extend that analysis by updating the sample to February 2019 and by reviewing the competitiveness of ODI series.
In the 12 months since my earlier post, there has been something of a revival of the tight ODI. Spectators in this period have had a one-in-five chance of seeing a game with a thrilling finale. The criteria I use for defining tight matches comprise: a tie; a victory batting first by fewer than 10 runs; if chasing, winning in the final over or with eight or nine wickets lost.
On the other hand, there has been no let-up in the incidence of crushing victories: 34% by margins of over 100 runs or with more than ten overs to spare.
One-sided or closely matched series?
This analysis is based on the 79 series of three or more ODIs played between two teams since the 2015 World Cup and completed by the end of January 2019 (note 1). It omits shorter bilateral encounters and tournaments involving three or more sides – all of which are included in the match analysis chart above.
The table below summarises the results by series duration. One-half of series remained undecided heading into the final match. Sample sizes are small, but shorter series (three matches) were more likely to deliver a final match with everything to play for.
The unwanted spawn of the uncompetitive series is the dead rubber. Matches that had no bearing on the series outcome occurred 44% of the time that they could potentially have happened. Of the 52 dead rubber matches that went ahead, eleven ended up as consolation victories for the series loser. Six of the games (11.5%) produced ‘tight’ finishes, but 22 (42.3%) were crushing victories. The value of these games, other than selling air-time and bringing international cricket to more towns and cities is questionable.
A useful benchmark of competitiveness can be found in Test cricket. In Test series in the same period, 55% of the 36 series with three or more matches were wrapped up before the final game was played, creating dead rubber games. ODI series, therefore, have recently been more competitive than the Test match equivalent. Moreover, the Test match draw raises the probability of teams playing that format reaching the last game of a series with the result undecided.
Looking more broadly – at pure probability – gives further evidence that ODI series are not particularly uncompetitive. A ‘best of three’ coin toss would produce a definitive result with the first two tosses one-half of the time; five percentage points higher than that seen in three match ODI series.
The five (or more) match series, presents a more mixed picture. A definitive series result was obtained from the first three games in over one-third (34%) of match-ups – compared to 25% in a ‘best of five’ coin toss. The seven clean sweeps (18%) is three times the likelihood of five coin tosses ending all heads or all tails. Yet, 45% progressed to a fifth match decider, exceeding the expected 37.5% in the coin toss scenario.
In conclusion, ODI series sustain interest to their conclusion relatively frequently. The problem the format faces perhaps isn’t uncompetitiveness, but inflexibility of scheduling. On the occasions that a series is decided early, the remaining fixtures have been booked with broadcasters and grounds, who have sold ad space and tickets. The show must go on, even if intensity and interest decline.
Note 1: 3 match series in which either the first or second scheduled match was abandoned or cancelled are excluded (ie considered as 2 match encounters). If the third match was a victim of the weather, the series is included in the analysis.
…Allan Donald standing, turning, dropping his bat, then running, but too, too late, as the celebrating Australians converge (Edgbaston, 1999)…
…Ajmal Shehzad clubs a first ball six as England’s 8th wicket pair gather 13 runs from the final over to tie the game on the final ball (Bengalaru, 2011)…
…Grant Elliot launches Dale Steyn over long-on, over the boundary from the penultimate ball of the 2015 semi-final… (Auckland, 2015)
These are the dramatic conclusions to One Day Internationals (ODIs) that come to my mind when I think of what makes the 50 over format so exciting. Matches that have run for hours but are decided by a pressure-forced error or a single audacious act. Games when all 22 players look back and can each reflect on just one thing had they done differently – pushed to turn a long single into a two; not bowled that wide; collected the ball cleanly on the boundary – that may have made all the difference.
Major tournaments are felt to be smouldering, not truly catching alight, until they feature at least one of these thrilling finishes. TV stations shelving the next scheduled programme so they can stay with the action until the very end. Pictures of fans chewing fingernails, or covering their eyes from the spectacle that both holds them rapt and that they cannot bear to watch.
Thrilling finishes seem to be the essence of one day, limited overs cricket. Yet how representative are they of the format? How often is the team batting second still chasing in the final over, or with their lower order batsmen stretching for the target? To approach an answer to these questions, I have analysed results and victory margins for ODIs since the last World Cup (March 2015 – January 2018). To provide some context for that analysis I have completed similar reviews of national, list A competitions and two non-full member 50 over tournaments from this year.
To be engaging, ODI cricket doesn’t have to culminate in a final over where all three results are possible. 100 overs gives plenty of opportunity for fortune to swing back and forth, with the final decisive swing happening deep into the second innings and producing a convincing margin of victory, rather than a nail-biting conclusion. An individual innings or bowling spell may blow away the opposition, yet provide adequate reward for the spectator or viewer. But still the sport yearns for the crazed uncertainty of a match that hinges on cricket’s high pressure equivalent of the duel.
The ODI sample I have assessed comprises 312 completed matches: 157 won by the side batting first; 153 by the side chasing; and two ties. The tied matches (0.6% of the total) qualify automatically as thrilling finishes.
Looking at the matches won by the side batting first, 13 (8.2%) were won by single figure margins (fewer than 10 runs) and so were likely to be in the balance going into the final over. Another 12 had victory margins of between 10 and 19 runs and so delivered some degree of jeopardy for players and fans deep into the game.
The chart below shows the distribution of victory margins for sides batting first (one decile is 10% of the matches in this sample). Not only are tight finishes relatively rare, but substantial wins are the norm: the median victory is by 70 runs and almost 30% of matches are won by 100 runs.
ODIs won by the team chasing were unresolved until the final over on 10 occasions (6.7% – excluding five matches decided by Duckworth Lewis when the side batting second was already ahead of the par figure when weather intervened). 27 (18.2%) reached the target in the penultimate over. Over half (14) of these had five wickets or more in hand, suggesting a well-calibrated chase rather than genuine uncertainty over the result.
The tactic of chasing teams to set a pace to their innings based on the target set, rather than the optimum score they might achieve, can make victory margins based on ball remaining in the innings misleading. Nonetheless, the chart below, showing the distribution of balls remaining in matches won by chasing teams, again shows that convincing victories are far more common that thrilling conclusions. The median margin is almost five overs and more than 30% of these games are won with 10 or more overs to spare.
A chasing side, of course, risks losing a game by being bowled out. There were eight (5.4%) instances where the game was won by one or two wickets. Five of these are already recognised as tight finishes as they finished in the last or penultimate over. At the other extreme, 35 games were won with the loss of three or fewer wickets.
Of the 312 completed matches in the sample, 28 (9.0%) appear to have delivered a truly tight game to the end, giving about a one in eleven chance of seeing a thrilling finish. Those do not seem unreasonable odds of a game staying alive until its very last passage of play.
More concerning is that 30% of the sample produced games that were not just comfortable victories but, achieved by margins of over 100 runs or with more than 10 overs to spare, were veritable blow-outs. Excluding matches involving non-Test playing nations made little difference to the incidence of crushing defeats/victories.
International sport has in-built inequalities with the population size and wealth of countries acting as constraints on their performance. The same is less true (although it remains a feature) of domestic sport where counties, states, provinces and clubs are able to recruit to strengthen sides and players migrate to where there are better opportunities to play. List A (i.e. top level domestic 50 over competitions) matches, therefore, provide something of a control sample to test whether the frequency of one-sided ODIs is a function of the match format or of international competition.
I drew my sample of domestic 50 over matches from the most recently completed List A competitions in Australia, South Africa, Pakistan (2017/18), England (2017), India, New Zealand and West Indies (2016/17). The results of 315 completed matches were analysed.
Using the same criteria for a thrilling finish (victory margin: batting first < 10 runs; chasing in last over or by 1 or 2 wickets; or a tie), there were 51 (16.2%) games that stayed alive until the very end. With odds of a little over one in six, List A matches produced tight finishes nearly twice as frequently as ODIs.
At the other extreme, trouncings were also rarer – but only slightly. 28.6% of the matches were won by 100 runs or more or with 10 or more overs to spare.
There were significant variations between the national competitions. England and New Zealand produced closer matches – shown below with the median margin of victory for each competition. The incidence of games curtailed by bad weather and decided on the Duckworth Lewis system may have played a part in creating closer finishes in those two countries.
Returning to international competition, two recent tournaments provided contrasting records for tightness of matches. At the 2018 under 19 World Cup, the median margins of victory were:
– batting first: 101 runs (ODI median: 70 runs)
– batting second: 63 balls, 7 wickets (ODI median: 29.5 balls, 6 wickets)
Only two of the 48 matches in the tournament (4%) met my criteria for a very close finish: batting first – victory by less than 10 runs; batting second – victory in final over or by two wickets or less.
Fans of thrilling finishes should pay attention to World Cricket League, Division 2. Six of the eighteen matches in the recent tournament qualified as very close finishes, with one team featuring in four of those games. On that basis, Nepal deserves to be the favourite team of every cricket fan who cherishes the tension of a 50 over game fulfilling its potential of going down to the wire.
As Karun Nair surged to a triple-hundred in his third Test innings, commentators dared the Indian selectors to drop the young batsmen for the next Test, when the three more senior players, whose injuries had opened the way for his debut, will have returned to fitness. That’s a recurring selection dilemma – form versus seniority; promise against proven ability. Nair’s situation raises another dilemma, one that I find even more interesting, but suspect selectors do not.
Measurement of the impact of fielders has become topical. It has found official recognition in Cricket Australia’s publication of a fielding index. To appreciate the broader scope of the subject and its potential there’s no better source than Jarrod Kimber’s ESPNCricinfo post, Why doesn’t cricket have proper metrics for fielding?
Now that fielding performance is being subjected to more intense analytical scrutiny, it follows that its impact on batting and bowling performance also needs to be understood. This post presents some options for adjusting batting statistics to take account of certain aspects of fielding performance, drawing on data collected from the India v England series and reported in the Declaration Game post, A series of missed opportunities.
The end of series batting tables showed the dominance of Virat Kohli, the impact of Nair’s mammoth innings and the continuing prolific run-scoring of Root, Pujara, Bairstow and Vijay. But in a series of 49 dropped catches and missed stumpings, how dependent were the batsmen on the competence of the fielders? I have assessed the impact of missed chances on the output of the 18 players who scored more than 100 runs across the series.
42 missed chances were distributed across these 18 batsmen. No distinction is made between chances of different levels of difficulty. All chances that went to hand (or body), or flew between fielders stationed close together are counted, but not those that looped just out of reach or through areas where one might have expected captains to have placed fielders. Also excluded are missed run outs and missed opportunities relating to umpiring decisions or to the operation of the Decision Review System.
The bar to the far right of the chart represents Alastair Cook who benefited from the highest number of misses: six; Ben Stokes is one place to his left.
More interesting than a count of drops is how the missed chances impacted on batting performance. A measure of this is the number of runs scored, had each of the innings ended when the batsman gave their first chance. The full height of the column in the graph below shows the total number of runs scored by the player in the series. The filled blue part of the column shows the number of ‘chanceless’ runs accumulated by each batsman; runs scored after a missed chance are depicted by an unfilled (white) area.
On this measure, Root supplants Kohli as the most prolific batsman in the series, with the Indian captain falling to third place behind Pujara. Nair and Jennings have the highest proportion of their runs bitten off by this metric. At the other extreme, Rahul and Patel were unaffected having not benefited from any missed chances.
With four comfortable victories, India’s batsmen had fewer innings than England’s. Standardisation can be achieved by converting the measure into a batting average – the ‘chanceless’ average – by dividing by the number of dismissals.
Patel, Kohli and Rahul are the three players who maintain ‘chanceless’ averages (orange columns) above 50. Kohli’s average when only chanceless runs are counted falls 43%. But it is Nair with the steepest drop from a conventional average of 160 to just 17.
By including only the runs scored before giving the first chance of an innings, this measure has the drawback of giving no credit for runs that played a part in the match result. I have calculated a second alternative measure of batting performance: the batting average per chance (orange columns). Total runs scored are divided by dismissals plus missed chances.
Kohli, the dominant figure of the series with the bat, returns to the top of the list, followed by Patel. Nair, showing how he made England pay for their errors in the 5th Test, rises to third-place. Cook is near the bottom of the list, having managed just 23 runs per chance.
Adjusting measures of batting performance in this way offers some insights: it shows how certain players’ success relied upon the opposition making fielding errors, while others enjoyed no good fortune of that kind at all, and some failed to capitalise on the good luck that came their way. In this series, there is also a pronounced levelling out of individual batting performance when chances given are taken into account. The range for batting average of the players in this sample fell from a factor of 11 separating top from bottom with conventional batting average, to eight using the chanceless batting average. This type of analysis may, with a far larger sample, start to factor out elements of luck in batting performance measures.
A single Test match series does provide far too small a sample for drawing statistically robust conclusions. Yet, it is exactly the sample most pressing on the attentions of international team selectors, particularly when assessing the contribution of players new to the Test arena. My contention is that selectors and other observers are better served by a batting measure that attempts to control for the varied dose of luck experienced by players than the conventional and crude batting average.
In the Test match in Mumbai, there was a lot said about the fact we played four seamers and two spinners… [but] if we’d caught our catches, we wouldn’t have been talking about our combination; we’d have been talking about how we probably had a chance of winning a game of Test cricket. But consistently, we’ve missed chances – and you can’t afford to do that against the best teams in their home conditions.”
Paul Farbrace – Assistant Coach (speaking after 5th Test at Chennai)
The focus on England’s dropped catches in the series in India is understandable given that, in four of the five Tests, one or more of India’s first innings century makers was dropped early in their innings. Vijay, Kohli (twice), Jayant Yadav, Karun Nair accumulated a combined 649 runs from five innings after an initial escape. England committed seven drops in those five innings and a further eleven across the whole series. Understandable but, in the round, is it justified?
Using ESPNcricinfo’s ball-by-ball commentary, I have recorded each chance of a catch given during the series. I have included any chances that went to hand (or body) and those described as passing between two adjacent fielders. Excluded are balls that looped out of reach, or fell short of, fielders making reasonable attempts, as well as those that passed where one might have expected there to be a fielder, but there was not.
The raw results are shown in the table below. India committed 26 drops compared to England’s 18 and converted a lower proportion of chances into catches.
In October 2016, Charles Davis published in The Cricket Monthly a summary of the results of his analysis of almost 15 years of fielding errors in Tests – Tracking the Misses. Courtesy of Davis, it is possible to put into context the numbers from the India v England series (NB Davis included stumpings in his data, which I have not).
Davis found around 25% of opportunities were missed in the field – an average of seven per Test match. In this series, 31% were missed – 8.8 per Test. Both sides under-performed their recent record: England 24.8%; India 27.2%. This comparison does support the view that fielding errors were a feature of the series. But is it simply losers’ regret that has the England team pointing at missed opportunities? They did, after all out-perform India in terms of the proportion of catches taken.
England, as hinted at above with the roll call of India’s century makers who were dropped, bore a higher average cost for the chances they missed. The mean number of runs scored by an Indian batsman after a drop was 44 (median 22). The equivalent figure for England was 28 (median 21) [footnote 1].
The contrast is most acute when looking at the two captains. Cook was dropped six times (the most of any player) but only added 134 runs. Kohli made 282 runs after the three misses he benefited from.
The two captains were also the most frequent offenders. Cook shelled four of his seven chances; Kohli could not hang onto five of his ten catches.
This analysis supports the conclusion that England, had they taken their opportunities, would have shifted somewhat the balance of the series. However, I believe there are associated conclusions that are probably more profound about the cricket England and India played.
India’s ability to limit the damage of their fielding errors was a great strength: their bowlers were able to continue to create opportunities. England’s bowlers, on the other hand, lacked the penetration to keep their opponents under the kind of pressure that would, sooner rather than later, lead to another wicket-taking opportunity. Moreover, England were significantly more reliant on their fielders for taking wickets. 72% of the wickets taken by England in the series were catches. India’s equivalent figure was almost twenty percentage points lower (53%). Ashwin and Jadeja, in particular, threatened the England batsmen’s stumps to an extent unmatched by the England attack.
The argument that England’s fortunes were hampered by their inability to take the catching chances that came their way obscures the greater insight that England were over-reliant on snatching any opportunities falling to their fielders because they were unable to trouble India’s batsmen often enough and in a sufficient variety of ways.
Footnote 1 – in calculating the number of runs scored by a batsman after a drop, I have subtracted the score when dropped from either their innings end score, or in the case of batsmen dropped more than once in a single innings, from the their score when they were dropped again.
Jonathan Trott and Ian Bell wore down the Indian bowling in a partnership lasting nearly 80 overs on days four and five of the final Test at Nagpur in December 2012. The Warwickshire pair’s efforts were instrumental in defending England’s 2-1 series lead, recognised at the time as a great achievement and one that has not diminished since. Not only was it the last time India have lost a home series, but the Nagpur Test was the last time India have failed to win a home Test (other than a match reduced to less than two days play).
Since England’s visit, India have won 12 of the 13 Tests they have hosted. During this time, India have:
- never conceded a first innings deficit. India’s average first innings lead has been 157.
- won five games in less than three days play. Matches have lasted an average of 316 overs.
- won four matches while losing ten or fewer wickets. On average India have lost 14 wickets per victory.
- dismissed the opposition for under 200 thirteen times. They have conceded 300 or more only twice.
- recorded 14 individual hundreds and conceded just one (Michael Clarke).
- taken 19 individual innings hauls of five or more wickets and been on the other end of seven.
Home advantage has rarely been as telling in Test cricket as in the 2010s. But none of the other highly ranked Test nations have a home record as compelling as India’s since 2013:
- Australia: won 12, drawn 4, lost 0
- England: won 16, drawn 5, lost 7
- South Africa: won 11, drawn 4, lost 4
- Pakistan (in UAE): won 9, drawn 3, lost 4
- Sri Lanka: won 10, drawn 2, lost 5
India’s record as a host is even stronger than those of the West Indies in the 1980s and Australia in the 2000s – albeit over a shorter period than the peaks of these two dominant sides of recent years.
The source of that supremacy is rapidly apparent from a tabulation of aggregate bowling figures. India’s spin bowlers have taken almost twice the wickets at less than half the average and more than one run per over more economically than their opposition. The home team’s pace bowlers are also more effective.
Five spinners have played for India in these series, but two players dominate: Ravi Ashwin (99 wickets at 16.56) and Ravindra Jadeja (61 wickets at 16.47).
Looked at from the perspective of the batting (top 7 in the order) this picture, of course, persists: almost twice the batting average at a scoring rate faster by 25%. Che Pujara (1124 at 62.44), Murali Vijay (895 at 42.61) and Virat Kohli (853 at 44.89) are the heaviest scorers. Ashwin and Jadeja have each contributed over 300 runs as well.
|Batting (top 7)||Runs||Average||Strike rate||100s||50s|
To understand the causes of this run of home dominance it needs first to be acknowledged that it has come at the expense of four countries for whom the sub-continent conditions are particularly challenging: West Indies, Australia, South Africa and New Zealand. It is seven years since India hosted any of its neighbouring Asian nations for a Test series – Sri Lanka in 2009/10. Pakistan last visited nine years ago and Bangladesh, of course, have not yet had the honour.
Yet, India is no longer an exotic final frontier for the cricketers of non-Asian countries. There is now an annual migration in April. The format (T20) is different, but the climate, the pitches and the players are all made familiar. It has not, though, carried through into Test performances in the country. AB de Villiers (258 at 36.85), David Warner (195 at 24.37), Kane Williamson (135 at 33.75), Shane Watson (99 at 16) and Chris Gayle (100 at 25) are some of the highest profile IPL contract-holders who have under-achieved at batsmen in Tests in India since 2012.
India’s method of success, more often than not in this period, has been to choke their visitors on dry, dusty pitches favourable to spin bowlers. Slow bowling, the country’s traditional strength, has brought it unprecedented home success recently. To appreciate the change that has occurred, it is helpful to revisit where this post began – at Nagpur in December 2012. There, on a slow, dead pitch that grew gradually more worn over the five days, England secured a draw and the series victory. Three years later, South Africa played on the same ground. The match was over on the third day; 33 of the 40 wickets to fall were to spinners. India bowled only 17 overs of pace, without picking up a wicket.
The majority of pitches prepared for Tests in the period under review have been amenable to spin from the first day. In the case of Nagpur, a hot and dry location, this has produced far more compelling Test cricket than the alternative, were the pitch allowed to develop its flat, unyielding and slow character that England batted on for longer than the 2015 South Africa Test lasted. (Note 1)
Looking ahead to the England series, the local climate can be expected to deliver arid conditions for the first, third and fourth Tests (although October was wetter than normal in Gujarat, the state hosting the first Test). The visitors may prefer the option of a dead pitch on which they can dig in and force a draw, particularly for the first Test. It would be understandable and preferable from the neutral’s standpoint if the pitch preparation led to Ashwin taking the new ball and igniting puffs of dust early in the game. Rajkot, Mohali and Mumbai all appear to have the dry and hot weather that readily creates pitches on which this Indian team has been impregnable.
|Average monthly rainfall|
|Test||City||Date||Oct rain||Oct days of rain||Nov rain||Nov days of rain||Dec rain||Dec days of rain|
|1||Rajkot||9-13 Nov||19 mm||1||6 mm||1|
|2||Visak’nam||17-21 Nov||258 mm||8||115 mm||3|
|4||Mumbai||8-12 Dec||56 mm||3||17 mm||1||5 mm||1|
|5||Chennai||16-20 Dec||279 mm||11||407 mm||12||191 mm||6|
But the Indian sub-continent encompasses a wide range of climatic types. Average monthly rainfall in Visakhapatnam (2nd Test) and Chennai (5th Test) in the build-up to, and during their matches, is significantly greater than the summer rainfall in the damp north-west of England. The pitches, barring sustained and significant effort from the ground staff, will inevitably be moister and more friendly to seam bowling at those grounds (assuming the weather is in line with norms). We will get a feel for the extent to which the groundsmen in the country are willing, or required, to bend nature to the demands of India’s continued impregnability when the series reaches these two centres.
Test cricket benefits from a strong and interested Indian Test team. The sport also gains from fast-moving, exciting matches. I hope, though, that the pitches played on in this and future series reflect the diversity of India’s environment. And, even if England cannot breach India’s impregnability, stiffer challenges may come in the next 15 months with planned visits from Bangladesh, Pakistan and Sri Lanka.
Note 1: Thank you to Nakul Pande for this observation, via Twitter, about Nagpur 2012 v Nagpur 2015.
Sarfaraz Khan, Gidron Pope, Alzarri Joseph, Avesh Khan, Jack Burnham. Names that have earned recognition for performances at the Under 19 World Cup this month. But will they, and their peers at this tournament, be the successors to Brendon McCullum, Mitch Johnson, MS Dhoni and Kumar Sangakkara in the wider consciousness of world cricket?
An analysis of previous Under 19 World Cup participants will not tell us specifically whether, say, Keemo Paul will become better known for his exploits as a senior than junior international cricketer. It will, though, cast some light on the development of international cricketers.
For every member of a full nation squad at the Under 19 World Cups of 2000, 2002, 2004 and 2006, I have recorded the highest level of senior cricket attained in their career. The ten year elapse since the most recent tournament reviewed makes it unlikely that any of the 555 players will reach a new peak. Unlikely, but not impossible: Stephen Cook, graduate of the 2002 tournament, made his Test debut this year.
Four levels of senior cricket have been identified, in ascending order: i) professional limited overs (List A or national T20 tournament), ii) first class, iii) international limited overs (ODI or T20) and iv) Test. With very few exceptions, this grading represents progress in a player’s career – ie he will have played the form of cricket considered lower than the level I have taken to be the highest level he attained.
Within each level, there is a broad range of attainment, measured by appearances. For example, from the 2000 tournament, grouped together at the first class level are Mark Wallace (England) with 249 appearances and Gareth Irwin (New Zealand) who played a single first class match in 2002/03. (Irwin is one of the exceptions to my hierarchy, as he did not appear in professional limited overs fixtures.) It might be fairer, therefore, to think of each group as containing players who have passed a common threshold, rather than attaining the same level.
The summary analysis of the 555 players shows that 45% have gone on to play international cricket (not all with the nation they represented at the Under 19 age group). 5% have not played any professional senior cricket.
I would have hypothesised that the conversion rate of under 19 internationals to senior internationals would have increased over this period; this being a reflection of the more structured approach taken towards the development of youth cricketers. The results don’t support that hypothesis: the proportion of under 19 players going on to play international cricket has varied: 2000 – 48%; 2002 – 40%; 2004 – 46%; 2006 – 42%.
There are some stark country-by-country differences. The youngsters of Bangladesh and Zimbabwe have had a higher likelihood of becoming full internationals, two-thirds in the latter case – perhaps reflecting that selection in those countries is from a smaller pool of players. On the other hand, barely one-quarter of those who have appeared at under 19 World Cups for England have played for the senior team. Unsurprisingly, England, with its 18 first class counties has had no players fail to reach the senior professional game – nor did Pakistan, South Africa and India.
I also looked at whether performance at the under 19 World Cup was a good predictor of future prospects by narrowing the analysis to the top run scorer and wicket taker for each of the ten nations at the four tournaments. 50 of the 81 players in this sample (64%) have played senior international cricket, compared to 55% of the total population, which is less of an increase than I would have expected. The outlier is New Zealand’s Jonathan McNamee, who was their top scorer at the 2000 tournament, but has no senior professional record.
At the team level, success in the under 19 tournament has not been associated with having teams choc full of future international cricketers. Looking at the eight finalists in these four tournaments, 43% (Test: 31%; Limited over: 12%) of their squad members went on to play senior international cricket, compared with 45% (35%; 10%) of the total.
I was also interested in understanding the proportion of players who reach Test level who have been participants at the junior World Cup. My method provides an estimate, not a precise figure. I extracted the number of Test debutants for each nation in the period 2002-2012. The chart below shows the number of players in the four under 19 World Cups who went on to play Test cricket and the proportion they are of the total debutants in the eleven year period. It provides a rough, rather than definitive, picture as some participants in those four tournaments had debuts before and after the eleven year period; and some players from the 2008 and 2010 tournaments probably had debuts during the period.
Approximate though this analysis is, it does show that England and Zimbabwe are outliers. Around half the Test debutants from the other eight nations had played in the four under 19 World Cups. For England, that figure was below one-quarter. At the other extreme, those players accounted for over 90% of Zimbabwe’s Test debutants.
There are positive and negative connotations to these two extremes. England’s position could be evidence that it performs poorly at identifying future talent, or that its junior cricketers mature at a later age. It could be a strength that international selection remains open to players emerging from outside of the elite juniors. England may have the resources to invest in a broader base of juniors, making precise selection at 19 difficult. Experience of international cricket as a teenager may be a poor one, having a negative impact on English juniors, or their development is interrupted by injury. The opposite to each of these arguments can be made for Zimbabwe. The data cannot help us with this key point. I would be interested in the views of readers.
In conclusion, the data analysis shows:
- Unless from England or India, an Under 19 World Cup participant has close to, or better than, an evens chance of senior international cricket.
- The first class game should definitely be within reach – if not already attained.
- Having a strong tournament (relative to your teammates), desirable in its own right, boosts by a modest amount a player’s likelihood of moving onto senior international cricket.
- At Test level, there is a heavy dependence on Under 19 World Cup graduates, with around one-half of the debutants in the years following tournaments having participated in the junior World Cup.
- England and Zimbabwe are, respectively, less and more likely to choose Test debutants from Under 19 World Cup players.
It seems uncontroversial to state that batsmen are more likely to be dismissed immediately after an interval, than when they have settled back into the new session. But similarly well-worn aphorisms – the nervous nineties and batsmen tending to fall quickly after sharing a sizeable partnership – have shown not to stand up to statistical scrutiny. This post, therefore, attempts to apply numerical analysis to the received wisdom that in Test matches batsmen are more vulnerable immediately after resuming play.
Before introducing the numbers, it’s worth reflecting why this common understanding is so readily accepted by cricket followers. I think there are two mutually reinforcing factors at play, each of which could be supported by associated statistical evidence.
The first factor is that batsmen are at their most vulnerable early in an innings. Owen Benton, in his post ‘When is a batsman ‘in’?‘ demonstrated that the likelihood of a Test opening or middle order batsman falling before scoring another five runs is at its highest when on a score below five. It can be argued that this early-innings fallibility revisits the batsman in the analogical position of re-starting an innings after a break in play.
The second factor is that it is accepted good tactical practice for the fielding side to start the session with its most potent bowlers. While there are no statistics to hand to demonstrate that this tactic is actually applied regularly, nor that those bowlers are more threatening immediately after a break, it would be straightforward to compare the career strike rates of the bowlers opening after the resumption against other bowlers used in that innings.
To test the proposition that wickets fall more frequently after a break in play, I selected a random sample of Test matches played since May 2006 (the date from which cricinfo.com scorecards recorded the score at every break in play). Details on the sampling method are provided at the foot of this post.
From the sample of 20 Tests, I noted the incidence of wickets falling in the three overs following (and prior to) 436 breaks in innings, including lunch, tea, drinks breaks, close of play and weather interruptions. Excluded from this figure are any breaks which coincided with the start of a team’s innings.
All results are strike rates expressed as wickets per over. In the period 2006-2015, wickets fell on average in Test cricket at 0.08 per over. As the chart below depicts, there was a 50% increase in the strike rate in the first over after a break in play (0.125). This effect wore off rapidly, so that the second over after the resumption saw a strike rate (0.090) that was barely above the period average and equivalent to the sample average (0.091).
The result for the 1st over after a break in play is statistically significant. The sample size doesn’t enable the analysis by type of break in play to be anything other than indicative, but is presented below for interest – based upon the first three overs of the restart.
Weather breaks appear to be the most damaging to a batsman’s prospects, but the 20 Test sample only featured 11 weather breaks. There does not appear to be any relationship to the duration of the break. For example, the overnight break was associated with a lower strike rate than the brief evening drinks break.
The sample results do seem to bear out the received wisdom that batsmen are vulnerable immediately following a break in play. However, the brevity of the impact – a single over – doesn’t strongly support the two explanations offered above.
If batsmen find a new session is like starting a new innings, then the effect would be visible in the second over, as six deliveries is unlikely to be sufficient for both batsmen to pass this phase.
If the phenomenon is caused by the more potent (and refreshed) bowlers, it too would be discernible in the second over (bowled by the other fresh strike bowler) and third overs of the new session.
There remains an explanation and it’s a prosaic one, which will often be used by commentators seeing a batsman fall soon after a break. It may simply be that the batsman’s concentration has been interrupted and not sufficiently refocused for that first over of the restart. There’s a message here for players – prepare psychologically for the new session – and spectators – don’t dither, get back to your seat for the restart.
383 Test matches were played in the period from May 2006. Based on an estimated 9,000 breaks in play with an expected strike rate per 18 deliveries of 0.3, 478 breaks in play were needed to give a result with confidence interval of 0.04 at a 95% confidence level. Excel’s random integer function was used to pick numbers between the Test match references of the first (1802) and last (2181) in the sample period. It is worth noting that the random sample was based on Test matches, not breaks in play.
Using the number of relevant breaks in play from the 20 Test sample, a lower total number of breaks of play in the population was calculated for the population of Tests: 8,600. The adjusted sample size was 417, which is lower than the sample on which data was collected.
This is the fourth annual Declaration Game selection of cricket blog posts. For the second year, to the basic qualification of being unpaid on-line writing, I have added the criterion that the writer should not have featured in one of the previous annual selections.
Blogging is a disposable activity: posts disappear in the vastness of the web, days or even hours after surfacing. It’s easy to miss what’s new and interesting, so the purpose of this post, as in previous years, is to breathe a little life again into some of the articles I have most enjoyed reading.
I have also applied the criterion of including only a single piece for any one blogger. Given that most of the individuals have produced highly readable, independently minded material all year, my other hope is that I can tempt readers to peruse their wider body of work.
In rough calendar order, here are the Declaration Game Select XI blog posts for 2015.
Published in the first week of the year, Srinath wrote about visiting the Bombay Gymkhana. It is shortly after Philip Hughes’ death and this famous field, hosting multiple cricket matches, makes Srinath anxious:
Mid off from one game would stand next to third man from another, square leg umpires would stand with their unprotected necks, yes, the Hughes region, facing the lashing pull shot that could come their way any time in the day.
Bat on, regardless is a reminder that cricket in many places did carry on as before, even though we might prefer and caution that it should not.
Cricketmanwales was a new and very welcome figure in 2015. Practising a cascading, informal, Gonzo-journalism style of writing, he enthused equally about thrilling top-level cricket and bringing the enjoyment of the game to youngsters in his day job as a cricket development officer. In Which cricket? (April) he celebrated the vitality of the recently completed World Cup:
Though we knew it was coming, this was the moment the dirt was wistfully then swiftly dribbled in over the coffin of yaknow… Richard Hadlee; Ian Botham; the Chappells – cricketing icons that played a patently different game. The gaudy, incremental hikes through T20 Blasts and IPL Extravagorgies seem done; now the World Cup is carnage of a uniquely modern or post-modern sort. It’s official; things have changed.
He finds links between that tournament’s success and his task of energising “the Youff of Today [who] are turned off by stillness and quiet seduction,” before questioning whether the official goal to grow cricket shouldn’t wait until we know ‘which cricket?’
June was the most fertile month. Dr Ayelet Lushkov, classical scholar, was first to show with the most memorable and extended metaphor of the year: an appreciation of Stuart Broad and streaky bacon.
It’s greasy, and crisps up in the pan, and it’s more than a bit American, which is fine, and, more importantly, wholly addictive. Once streaky bacon gets going, there’s no having just one strip, or even one pound. No, streaky bacon takes 7-44 on an afternoon, or 6-24, or scores a 165 at Lord’s. And struts around while doing it.
The month also featured a taxi ride with a West Indian fast bowler – the driver – taken by the Wandering Cricketer. The passenger, an American of South African background, has a project: to record cricket fans from across the world in their colour and their own words. The outcome is a highly distinctive blog, with luscious visuals and floating half-volleys of questions that bring out the best in the people he meets.
In this conversation, the driver says that the US cricket team asked him to play, but he refused because of the money. How much were you offered, asks the Wandering Cricketer:
“You don’t even want to know man…these guys sent me a letter. I still have it at home. They want to give me $400 a match. I make more driving! I like cricket, but I couldn’t go just because of the name, and what name do you make playing cricket in America?”
I hope one day soon that question will feel antiquated.
A more conventional, but no less compelling blog, was the third to yield a gem in June (as it did throughout the year). My Life in Cricket Scorecards is written by Peter Hoare, once of Kent and now living in New Zealand. It’s a receptacle for fond, well-articulated recollections of the incidents and the people Hoare has watched play cricket during his life. The relish with which he wrote about New Zealand’s World Cup campaign shows there’s much more than nostalgia here.
In June, Derek Underwood turned 70. My Life in Cricket Scorecards gave context to his appreciation of Underwood:
For years Playfair persisted in describing him as LM rather than SLA, which was true but missed the point, just as foie gras might be accurately described as meat paste. Underwood took the spinner’s role, to bowl long, constricting spells on good pitches and to attack when the ball turned. No commonplace spinner though, being quicker, Swiss-clock accurate and, at least early in his career, bowling cutters as much as conventional spin.
then adorned the description with a series of stories of Underwood’s specific achievements and their meaning for the author.
It was around that time in the summer of 2015 that Fantasy Bob published his 1,000th blog post. Admirable as that is, you don’t receive Select XI recognition for quantity. Fantasy Bob, Edinburgh club cricketer, sees cricket or its shadow everywhere: at the theatre, on holiday in Italy, in his record collection, in discussion with his wife. In August, the post titled, Grumpy, concerned a spousal conversation. His wife knew many of the cricket-related matters that could upset Fantasy Bob, but not the one that almost drew tears. Brief, profound and really funny.
Another post about club cricket was the next on this chronological list. Dennis Freedman is a digital phenomenon: unremitting; one minute he’s teller of truth to power; the next, utterer of puerile provocations; a moment later, creating an internet meme.
Dennis is normally puncturing the pomposity of international players, coaches, umpires or administrators. October 2015, however, saw him return to club cricket for the first time in 21 years. He was understandably eager to fit in with his new teammates:
The skipper wins the toss and bats. I can’t remember his name, but he is a friendly gentle soul who gives us a pep talk prior to the openers heading out.
I can’t recall what he said. I was too busy concentrating on whether I should tuck or untuck my shirt. After a quick count, I decide to remain tucked. Eight of us dress properly. I am still cool.
And cool he was after a fine comeback, culminating in debut use of the team hashtag #bloodscricket.
The second outstanding new cricket blog of the year was statistics based and with its title – We need to look at the data – challenged those who, in impugning Peter Moores, dismissed a numerical approach to the sport as shallow. Blogger Owen Benton cut and sliced numbers to inform questions that are usually addressed only anecdotally. But in his October post, investigating how long it takes for a batsman’s average to fairly reflect his ability, he used a computer simulation, rather than actual match data. The method and findings, as in all his posts, are presented with clarity and are accessible to anyone searching for insight beyond the familiar cliches of the sport.
In November, I was drawn to a site with a name unlikely to feature cricket blog posts: Growth Mindset. Its author, Richard Jones is an educationalist and active junior coach. He has applied his professional expertise to an issue that usually goes unacknowledged in the grassroots game:
Junior cricket, particularly at club level is a constant mismatch between players who have clocked up hundreds if not thousands of hours of practice against those who have maybe clocked up less than 20 hours in some cases.
Jones exposes how, instead of acknowledging this truth, we talk about the juniors with the hours behind them as ‘naturals’ and allow those at the outset of their experience to think of themselves as ‘no good at the game’. In Cricket, Falling Junior Participation and the Fixed Mindset, Jones diagnoses the problem, its longer term significance and then ventures a solution, which he plans to implement in 2016 at his club. I am fascinated to hear how his bold plan fares.
Many English cricket bloggers spent 2014 at daggers with the cricket establishment. Changes to the ECB regime reduced, by a notch or two, the intensity of that antagonism in 2015, although it was the focus of a lot of strong writing. Perhaps the best of the lot came in December, from Tregaskis: Caesar’s Wife and Sports Journalism: When is Close too Close?
In a wide-ranging piece, showing a mastery of sources beyond the reach of most professional journalists, Tregaskis takes to task the ethics of cricket writers and produces a measured, subtle polemic.
The burden of proof is shifting. Journalists now need to earn trust through their record of impartiality. Drinks, dinner and games of golf with sources may be trifles but they do not shift the burden of proof. ‘We’re just doing our job’ is a mantra that offers old solutions to newer, more complex challenges. We need assurances that working relationships are just that. We need assurances that the journalist is not always the last one to see when the tipping point is reached.
The final place in this Select XI goes to the piece of writing that I have thought about most often this year. And in the fine tradition of cricket selection, it’s a ringer: read in 2015, but written in 2009.
Deep, backward, and square no longer publishes, but did leave us, almost accidentally, with Going downhill quickly. It’s a Test cricket stats piece about wagging tails that discovered something unexpected:
The lesson is clear: what happens in the first half of an innings tells us nothing about what we can expect in the second half. For example, on average throughout test history, whenever the fifth wicket has fallen at a score between 50 and 99, the remaining batsmen have added a further 95.7; whenever the first five partnerships have realised between 400 and 449, the last five wickets have typically amassed… 95.3.
It’s not just the fifth wicket: “At any stage of a test innings, what has happened up until the fall of a given wicket is a useless predictor of what’s going to happen afterwards.”
This is not merely a statistical quirk. It strikes at the way we talk about and analyse the game, which so often employs projection forward from what we’ve observed so far: the wicket’s (not) playing well; the bowlers/batsmen are on top, etc. But it’s not just us, on the sidelines, who think like this. The players do as well. All of us expecting to see more of the same, when, beneath our eyes, the numbers show a different reality.
I am grateful to all these bloggers, as well as the Blognoscenti listed to the right (or below, if reading on a mobile device) for the pleasure provided by their work this year. I would really welcome readers’ contributions by proposing your own favourite blog posts of 2015.
Six opening partners tried and rejected in three years – a turnover of one opening batsman per Test match season. The inability to find a player to rise to the challenge of opening the innings alongside Alastair Cook is the most prominent of the selection problems besetting England. This post does not venture a solution (although I have provided a mathematical response), it looks at the impact on those six selected, then rejected batsmen.
The impact of playing with Cook and then being dropped is assessed in a narrow, statistical fashion. The first graph shows the ten innings batting average in first class matches before and after each player’s brief career as a Test opener. (NB Adam Lyth’s post-Cook average is based on the six first-class innings he has played to date)
Across the group, there is a reduction in batting average of 40 runs per completed innings (56%). Joe Root has the sharpest reduction. He and Trott are the only members of the group who played Test cricket before opening with Cook; and Root is the only member of the group who played Test cricket after opening with Cook.
Three of the players (Compton, Root, Robson) may have harboured hopes that their Test opening careers would continue when they returned to first class cricket. Compton, for example, played four innings (including a century and a fifty) before his supplanting by Joe Root was made clear by the selection of an England side for a warm-up match. Selecting ten innings from his return to the Somerset side or from his official relegation from the England side makes little difference to this ten innings average (48.2 v 47.6).
We should not be surprised that players’ first class averages drop after a tough period as rookie Test match openers. They had been picked as form players – all six had short-term averages exceeding their career average when brought into the team – and their strong form had been interrupted by the stiffer challenge of Test cricket. In Trott’s case, his return to first-class cricket involved more than just re-finding form with the bat, but psychological health, too. The fall away in their performance, however, is noteworthy for its abruptness and consistency across the group.
To test whether it is a short-term effect, I have also compared their batting average for the last full season of first-class cricket before their selection as Cook’s partner and the first full season of first-class cricket following their demotion from the captain’s sidekick. In all cases except Root’s, the seasons assessed were England county seasons.
In this analysis the average fall in batting performance is less severe and is less consistent across the group. Root, the only player to remain in the Test team, maintained his pre-selection season average and Carberry’s varied downwards by fewer than five runs per completed innings.
All of the six players struggled for most of the innings they opened alongside their captain in Tests matches. Once out of the team (or in Root’s case, batting lower in the order), they were unable to regain their earlier productivity.
Alex Hales is strongly favoured to be Cook’s next opening partner. His current 10 innings first-class batting average is 36.0 – lower than all of his predecessors (although Hales may have further innings in the County Championship and in the UAE to improve on this before the Tests against Pakistan). Hales will, of course, be aiming to repel the curse of Cook that leaves batsmen under-performing when dropping back into county cricket. The surest way of doing this is by scoring so many runs for England that he stays in the team, opening alongside the captain.