Determinants of success in English domestic Twenty20 cricket

Najdan, J. Michael; Robins, Tristan; Glazier, S. Paul

doi:10.1080/24748668.2014.11868721

Cited by 12 publications

(17 citation statements)

References 42 publications

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“…Fifty plus run batting partnerships have been found to distinguish winning and losing teams in Twenty20 cricket (Petersen, et al, 2008b;Douglas and Tam, 2010;Najdan, 2014). Such partnerships are also important in one day cricket.…”

Section: Discussionmentioning

confidence: 99%

Wicket loss and risk taking during the 2011 and 2015 Cricket World Cups

O’Donoghue

2016

International Journal of Performance Analysis in Sport

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The purpose of the current investigation was to determine whether there is an optimal strategy in one-day international cricket and whether there is an even distribution of wickets during a 50 over innings. The investigation included 92 matches from the 2011 and 2015 Cricket World Cups. An initial study used required run rate at the start of overs within second innings as an indication of strategy required to reach the target number of runs. This suggested that teams played optimally when 8 to 10 runs were required per over. The second study revealed that batting teams within the both innings lost fewer wickets and scored fewer runs during the first half of innings than during the second half. Despite winning teams within matches losing wickets significantly later than losing teams, this pattern of an increasing run rate and an increasing rate of wicket loss was observed for both winning and losing teams. Teams are not awarded any additional runs for having wickets remaining at the end of the 50 overs. International teams may be more successful if they are prepared to risk losing more wickets in the first half of innings in an attempt to score runs.

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Section: Discussionmentioning

confidence: 99%

Wicket loss and risk taking during the 2011 and 2015 Cricket World Cups

O’Donoghue

2016

International Journal of Performance Analysis in Sport

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“…The continuous performance analysis hardware and software improvements also increased coaches' demand for data and information (Lyons, 2005, Groom et al, 2011. The use of improved available data is still in its infancy, but increasing at a brisk progress especially within the sport of cricket (Najdan et al, 2014). In this regard, elite coaches direct the data collection process and obtain specific information related to their own identified key performance indicators (Wright et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

The Variance of Information Management by South African Sport Coaches Within Different Competitive Levels

Berg¹

2019

Proceedings of the 52nd International Academic Conference, Barcelona

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Information management of sport coaches is a crucial factor that contributes to their competitive success. In current sport competitions, it is not a matter of if coaches are collecting and using information, but how it is being managed to provide an advantage. In this respect, National Federations as sport governing bodies, should support and develop the information management skills and activities of coaches. Therefore, it is important to gain insight into how coaches from various competitive levels currently utilise the available information for enhanced competitiveness. This research followed a qualitative design with data collection performed through semi-structured interviews with high-level cricket coaches and their support staff. Deductive codes of person collecting data, skills of the person collecting, methods used (which includes technology), sources utilised, finances and value assigned derived from the first stage of the competitive intelligence 4Cs process model by Weiss (2002) were used to code the interview data. The inter-and intra-rater coding procedure was substantiated by strong Cohen's Kappa values of 0.80 and 0.78 for intra and inter-rater reliability. The findings indicated clear differences between coaches' data collection management within the various competitive levels. This sheds light on previously hidden practices of coaches, and adds to the current knowledge pool. Likewise, the findings highlight the contrast of extremely professional data collection management at the highest cricket competitive level, compared to situational, unprofessional, irregular and, in some instances, complete lack of data collection management at the lower competitive levels. The findings could guide the National Federations to develop coach educational programmes to enhance the information management process of cricket coaches across the various competitive levels.

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“…6 Other researchers applied similar methods of quantifying the influence of the KPIs in the ICC World Twenty20 Cup tournament in 2009 7 and in the English domestic Twenty20 competition. 8,9 More recent notational analysis has included pitchlevel analysis data, including the line and length of wickets taken and boundaries scored. [8][9][10] A major limitation of these data is the number of variables that should be coded, such as the handedness of the bowler and batter, the side of the wicket the ball is delivered from, the type of bowler (pace), and the number of distinct lines and lengths classified.…”

Section: Introductionmentioning

confidence: 99%

“…8,9 More recent notational analysis has included pitchlevel analysis data, including the line and length of wickets taken and boundaries scored. [8][9][10] A major limitation of these data is the number of variables that should be coded, such as the handedness of the bowler and batter, the side of the wicket the ball is delivered from, the type of bowler (pace), and the number of distinct lines and lengths classified. Moore et al 8 investigating seven matches of English domestic Twenty20 from the 2010 season found that the pitchlevel analyses were in-conclusive with no clear trends in boundary destination or the line and length of where boundaries are hit from.…”

Section: Introductionmentioning

confidence: 99%

“…12 All of these pitch-level analyses give a greater depth of understanding to the game statistics but they do rely on the subjective coding of an observer, and it has been recommended that future studies make use, where possible, of Hawkeye (Hawkeye Innovations, Winchester, UK) or similar automated technology to achieve improved objectivity and reliability. 9 Notational analysis allows coaches to objectively assess the success of particular strategies and tactics employed within a match. A good example of this is the coin toss decision depending on the type of game; day/night versus day games.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of performance at the 2007 and 2015 Cricket World Cups

Petersen

2017

International Journal of Sports Science & Coaching

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To assess tactical changes, we compared team performance indicators between the 2015 and 2007 Cricket World Cup Tournaments. Specifically, we determined magnitudes of differences between winning and losing teams and compared round robin and the knockout or Super 8 phases. Magnitude of difference between teams was established with a standardised (Cohen's) effect size with 90% confidence limits. Taking wickets and having a high batting run rate consistently had large to very large effect sizes across both rounds of both tournaments. A higher percentage of runs in singles had a small to moderate negative correlation with winning across both tournaments (ranging from effect size ¼ À0.28 AE 0.07 to À1.18 AE 0.79 90% CL). The main contribution of this paper is that across eight years and across different geographical locations, key performance indicators had similar magnitudes in 50-over World Cup Cricket. Coaches can be confident in the relevant importance of different performance indicators.

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Determinants of success in English domestic Twenty20 cricket

Cited by 12 publications

References 42 publications

Wicket loss and risk taking during the 2011 and 2015 Cricket World Cups

Wicket loss and risk taking during the 2011 and 2015 Cricket World Cups

The Variance of Information Management by South African Sport Coaches Within Different Competitive Levels

Comparison of performance at the 2007 and 2015 Cricket World Cups

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