THURSDAY 18th June 2009 |
0840-0850 |
Opening remarks |
0850-0930 |
Session Chair: Ruud Koning
Keynote
Jim Albert
Bowling Green State University, USA
Exploring Pitch F/X Data |
0930-1030 |
Session Chair: David Percy
Sports Methodologies |
Session Chair: Dries Goossens
Sports Scheduling 1 |
Anthony Kay
Loughborough University, UK
Orienteering route choice in hilly terrain: optimisation by calculus of variations |
Mike Wright
Lancaster University Management School, UK
Three types of cricket umpire scheduling |
Joanne Moffatt
University of Salford, UK
An analysis of strategy in the sprint race in track cycling |
Sebastián Urrutia
Universidade Federal de Minas Gerais, Brazil
Scheduling the Brazilian soccer tournament by integer programming maximising audience shares under fairness constraints |
|
Alireza Tajbakhsh
Sharif University of Technology, Iran
A hybrid PSO-SA Algorithm for the traveling tournament problem |
1030-1100 |
Refreshments |
1100-1220 |
Session Chair: Mike Wright
Sports Scheduling 2 |
Session Chair: Anthony Bedford
Analysing Sports Results |
Kimmo Nurmi
Satakunta University of Applied Sciences, Finland
Improving the schedule of the Finnish Major Ice Hockey League |
Gordon Hunter
Kingston University, UK
Can Markov models accurately simulate lawn tennis rallies? |
Markus Triska
Technische Universität Wien
Local search for group-changing single round robin tournaments
|
Sohail Akhtar
University of Salford, UK
An analysis of declaration strategy in the first three innings in test cricket |
Dries R. Goossens
K.U.Leuven, Belgium
On the existence of the carry-over effect |
Ian McHale
University of Salford, UK
Assessing the fairness of the golf handicapping system in the UK |
Bjorn Raupach
KaHo Sint-Lieven, Belgium
A coupled simulated annealing approach to the travelling tournament problem
|
Christoph Leitner
Wirtschaftsuniversitat Wien, Austria
Forecasting the winner of the UEFA Champions League 2008/09 |
1220-1320 |
Lunch |
1320-1400 |
Session Chair: Stephen Clarke
Keynote
Gerard Sierksma
University of Groningen, Netherlands
Talent Development and Computer Support in Soccer |
1400-1520 |
Session Chair: Paul Newton
Sports Modelling 1 |
Session Chair: Dimitris Karlis
Sports Strategies |
Anthony Bedford
RMIT University, Australia
Risk taking in badminton to optimise in-the-run performance |
Qingxia Kong
National University of Singapore
Benford's law and number selection in fixed-odds numbers games |
Petr Volf
Academy of Sciences of the Czech Republic
A stochastic model of process of athletic records |
James Reade
University of Oxford, UK
Prediction markets vs. econometric forecasting for sports: Evaluating and explaining performance |
Benoit Jottreau
University Paris-Est, France
How do markets play soccer? |
Nobuyoshi Hirotsu
Juntendo University, Japan
Reconsideration of the best batting order: Is the order that maximises the expected number of runs really the best? |
Stefan Kesenne
Universiteit Antwerpen
The optimal size of a sports league |
Tania Churchill
University of Canberra, Australia
Correlation of training load and heart rate variability indices in elite cyclists |
1520-1535 |
Refreshments |
1535-1655 |
Session Chair: Ray Setefani
Understanding Who Won |
Session Chair: Jim Albert
Sports Modelling 2 |
Liam J.A. Lenten
La Trobe University, Australia
Do unbalanced schedules cause distortions in sports league tables? |
Dimitris Karlis
Athens University of Economics, Greece
Robust fitting of soccer prediction models |
Niven Winchester
University of Otago, New Zealand
An Innovative Approach to National Football League Standings Using Optimal Bonus Points |
Sandrine Poupaux
Deutsche Sporthochschule Köln, Germany
Some reflections about how to predict the number of medals won by a country at the summer Olympic Games |
Jack Dowie
London School of Hygiene and Tropical Medicine, UK
The scoring of combined events infringes a key principle of sporting competitions |
David F. Percy
University of Salford, UK
Interactive Shrinkage Methods for Class Handicapping |
A. Larry Wright
Columbia University, USA
Detecting Streakiness in Sports |
Douglas Fearing
MIT, USA
How to Catch a Tiger: Understanding Golfer Performance on the PGA Tour |
1800 |
Departure for Conference Dinner |
FRIDAY 19th June 2009 |
0900-1020 |
Session Chair: Liam Lenten
Understanding How to Win |
Session Chair: João Carlos Soares de Mello
Performance Evaluation in Sports |
Raymond Stefani
California State University, Long Beach
The Case Against Ultimate Athletic Performance |
Eliane Goncalves Gomes
Brazilian Agricultural Research Corporation
Two Stage Models to Assess the Significance of Contextual Variables on the Efficiency of Olympic Games Winning Countries |
John Norman
Sheffield University Management School, UK
Variants of Naismith’s Rule |
João Carlos Soares de Mello
Federal Fluminense University, Brazil
2008 Beijing Olympic Games: Evaluation of Teams' Performance |
Stephen R. Clarke
Swinburne University of Technology, Australia
Using team doubles competition results to rate non-elite tennis players |
Lidia Angulo-Meza
Federal Fluminense University, Brazil
An approach for Ranking Countries based on Data Envelopment Analysis with multiple inputs and outputs: The Pan-American Games
|
Paul K. Newton
University of Southern California, USA
A stochastic approach to ranking tennis players |
João Carlos Soares de Mello
Universidade Federal Fluminense, Brazil
Classification of the teams in the 2008 Brazilian Soccer Championship
|
1020-1040 |
Refreshments |
1040-1200 |
Session Chair: Franc Klaassen
Tennis |
Session Chair: Douglas Fearing
Sports Modelling 3
|
| |
Jan R. Magnus
Tilburg University, Netherlands
Real-time forecasting of the winner of a tennis match |
Ester Gutiérrez & Sebastián Lozano
University of Seville, Spain
A Study of the Duration of Olympic Records using Survival Analysis of Recurrent Events |
Ruud H. Koning
University of Groningen, Netherlands
Home Advantage in Professional Tennis |
James Reade
University of Oxford, UK
Revisiting the Calciopoli Italian Soccer Corruption Scandal
|
Paul K. Newton
University of Southern California, USA
A Monte Carlo approach to simulating a tennis tournament |
Alun Owen
Coventry University, UK
Dynamic Bayesian Forecasting Models of Football Match Outcomes |
|
Ken Taylor
University College Dublin, Ireland
A statistical test to detect tampering with lottery results |
| 1200-1240 |
Session Chair: Phil Scarf
Keynote
Tony Lewis
Oxford Brookes University, UK
Experiences selling mathematics to the cricketing world: market penetration of the Duckworth-Lewis method
|
1240-1340 |
Lunch |
1340-1520 |
Session Chair: A. Larry Wright
Sports Modelling 4
|
Session Chair: Ian McHale
Sports Policymaking |
Leanne Streja
UCLA School of Public Health, USA
Models for Motorcycle Grand Prix Racing Times |
Tom De Schryver
Radboud Universiteit Nijmegan/Vrije Universiteit Amsterdam, Netherlands
The application of piecewise linear models to management turnover decisions in Dutch soccer clubs |
Phil Scarf
University of Salford, UK
Route choice in orienteering and Naismith's rule: age effects and isochronic hills |
Muhammad Mat Yusof
University of Salford, UK
Modelling the Effect of Seeding Policy in Tournament Design
|
Anthony Bedford
RMIT University, Australia
Exploiting in-the-run Betting Markets in Australian Rules Football using a Brownian Motion Model
|
Orest V. Iftime
University of Groningen, Netherlands
Team ranking in volleyball competitions |
Ron Dorsey
Hartpury College, University of the West of England, UK
The Relative Age Effect in English Test Cricket
|
F.H. Dadashov
National Academy of Aviation, Azerbaijan
To optimization of psychophysiological conditions of sportsman in a consulting program |
1520-1530 |
Closing Remarks |
1530-1545 |
Refreshments |
1545 |
Departure for optional tour of the FC Groningen stadium; 1600-1700 guided tour |
