Proceedings of Mathsport international 2017 conference

Proceedings of MathSport International 2017 Conference, held in the Botanical Garden of the University of Padua, June 26-28, 2017. MathSport International organizes biennial conferences dedicated to all topics where mathematics and sport meet. Topics include: performance measures, optimization of sports performance, statistics and probability models, mathematical and physical models in sports, competitive strategies, statistics and probability match outcome models, optimal tournament design and scheduling, decision support systems, analysis of rules and adjudication, econometrics in sport, analysis of sporting technologies, financial valuation in sport, e-sports (gaming), betting and sports

A Statistical Investigation into Factors Affecting Results of One Day International Cricket Matches

The effect of playing “home” or “away” and many other factors, such as batting first or second, winning or losing the toss, have been hypothesised as influencing the outcome of major cricket matches. Anecdotally, it has often been noted that Subcontinental sides (India, Pakistan, Sri Lanka and Bangladesh) tend to perform much better on the Subcontinent than away from it, whilst England do better in Australia during cooler, damper Australian Summers than during hotter, drier ones. In this paper, focusing on results of men’s One Day International (ODI) matches involving England, we investigate the extent to which a number of factors – including playing home or away (or the continent of the venue), batting or fielding first, winning or losing the toss, the weather conditions during the game, the condition of the pitch, and the strength of each team’s top batting and bowling resources – influence the outcome of matches. By employing a variety of Statistical techniques, we find that the continent of the venue does appear to be a major factor affecting the result, but winning the toss does not. We then use the factors identified as significant in an attempt to build a Binary Logistic Regression Model that will estimate the probability of England winning at various stages of a game. Finally, we use this model to predict the results of some England ODI games not used in training the model

Vista: April 22, 1999

https://digital.sandiego.edu/vista/1220/thumbnail.jp

Probabilistic match importance in professional sports

Quantifying the importance of a match in professional sports can be beneficial in a variety of circumstances, including in the statistical modelling of match outcomes and attendance figures. Current literature on probabilistic match importance measures have overlooked key information, including the significance of a draw outcome in football (soccer), and the multiple end-of-season outcomes that a team can achieve in a season. The aim of this research was to develop a probabilistic measure of match importance that accounts for different end-of-season outcomes and is adaptable to both a two-result (win/loss) and a three-result (win/draw/loss) sport. By first furthering an existing probabilistic measure of match importance, a new model was developed that calculates the importance of achieving in different end-of-season outcomes using a Markov Chain model for both NBA basketball and Bundesliga football. Furthermore, the new model allows for the significance of a draw outcome to be quantified in the latter; which has not been fully achieved in past literature. The new model was compared to a complete Monte Carlo simulation model, where it was observed that the results between the two modelling techniques were similar. The results from the new model were then applied to an Elo ratings system and a stepwise regression model, where an effect on each model’s predictive performance was observed when matches were classified by their level of importance to the competing teams. The completion of this research helps further the knowledge on calculating and applying match importance within sports modelling

Bowdoin Orient v.123, no.1-22 (1992-1993)

https://digitalcommons.bowdoin.edu/bowdoinorient-1990s/1004/thumbnail.jp

Bowdoin Orient v.130, no.1-22 (1998-1999)

https://digitalcommons.bowdoin.edu/bowdoinorient-1990s/1011/thumbnail.jp

Made in Brasil : placing the football industry in the Brazilizn environment

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Bowdoin Orient v.81, no.1-26 (1951-1952)

https://digitalcommons.bowdoin.edu/bowdoinorient-1950s/1002/thumbnail.jp

Bowdoin Orient v.104, no.1-24 (1974-1975)

https://digitalcommons.bowdoin.edu/bowdoinorient-1970s/1005/thumbnail.jp

Improving the existing project manager-to-project practice of a specific organization (organization A) in Botswana

Empirical studies on the project manager-to-project (PM2P) practice in multi-project environments (MPEs) are limited. Little has been done to study existing PM2P practices in Botswana (a new context), despite evidence of the negative impact of existing practices on organizational performance. Approaches to improve PM2P allocation decisions and get them right first time have become necessary to complement intuition, in making effective decisions (Patanakul et al., 2007) that save costs and lost time in rectifying mismatches between project managers and projects (Skabelund, 2005). Researchers have proposed approaches to improve the PM2P practice (Choothian et al., 2009; Patanakul et al., 2007). These approaches, whilst demonstrating the value to be derived from improving the PM2P practice in MPEs, have limitations such as: predominant focus on USA context, lack of comprehensiveness in consideration and modelling of influencing factors, and lack of user-friendliness. This thesis builds on existing best practice and proposes a new approach to improve the existing PM2P practice of a specific organization (organization A) in Botswana, to potentially optimize performance. A mixed methods study involving 109 interviews and questionnaires with practitioners in Botswana was conducted over three fieldwork stages, leading to development of a comprehensive new approach. This new approach was verified and validated to improve organization A’s existing PM2P practice. The new approach combines concepts from four disciplines. It complements intuition and enables practitioners to use it directly for the first time, in improving their existing PM2P allocation decisions. The results from a study of existing PM2P practices in Botswana revealed lack of accountability in decision making, and reliance on intuition. A conceptual framework for understanding effective PM2P practices in MPEs was developed and used to elucidate organization A’s existing PM2P practice. The results showed a lack of consideration of a comprehensive list of factors influencing PM2P allocation decisions, including mismatches between project managers and projects. Validation of the proposed new approach revealed evidence of its value to improve organization A’s existing PM2P practice, in comparison with the status quo. The new approach facilitates a more effective PM2P practice, leading to potential reductions in: mismatches between project managers and projects, time, cost and hence increased organizational performance. Future work is needed to extend the scope to accommodate flexibility of the proposed new approach to different applications and contexts