MATHSPORT INTERNATIONAL 2019 CONFERENCE
---- Program ----
Crowne Plaza Hotel
Athens, 1-3 July 2019
Organized by AUEB Sports Analytics Group
Conference Sponsors
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SUNDAY 30 JUNE 2019 |
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19.30-21.30 |
Welcome Cocktail
at Crowne Plaza Athens Hotel |
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MONDAY 1 JULY 2019 |
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08:30-09:00 |
REGISTRATION |
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09:00-09:05 |
OPENING REMARKS |
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09:05-10:00 |
Plenary
Session #1 (Chair: D. Karlis) The
Ancient Olympics: Events, Technology, Superstars, Women, Lessons for Them and
for Us By Professor
Raymond Stefani, California State University, Long Beach, USA |
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10:00-11:40 |
Parallel Session
1A (Chair: S. Jenkings) Invited Session on
Sport Psychology Pre-Game
Speeches: Impact and Measurement Vargas, Tiffanye Coaching Athletes
with Hidden Disabilities: Collaborative research findings and measurement Beyer, Robbi
Madrigal, Leilani
Using
assessments to facilitate mental performance consulting Hunt, Madison and
Blevins, Anastasia |
Parallel Session
1B (Chair: D. Goossens) Design of
Tournaments Will
Groups of 3 Ruin the World Cup? Guyon,
Julien Fair-Fixture:
Minimizing Carry-Over Effects In Football Leagues Günneç, Dilek and Demir, Ezgi First-Class
Rugby in New Zealand Patel, Ankit;
Bracewell, Paul and McIvor, Jack Integrated
Break and Carryover Minimization Problem in Round Robin Tournaments Cavdaroglu, Burak and Atan, Tankut |
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12:10-13:25 |
Parallel Session
2A (Chair: S. Drikos) Player Performance
and Evaluation Maximizing
financial and on-field performances when composing teams in soccer Hvattum, Magnus Lars and Pantuso, Giovanni Econometric
approach to assess the transfer value of professional football players Besson, Roger; Poli, Raffaele and Ravenel, Loic Player
impact measures for scoring in ice hockey Sans Fuentes, Carles; Carlsson, Niklas and Lambrix, Patrick |
Parallel Session 2B
(Chair: D. Karlis) Inplay Analysis Move
it or lose it: Exploring the relation of defensive disruptiveness and team
success Kempe, Matthias
and Goes, Floris Hirotsu, Nobuyoshi and Komine, Ayako Predicting
possession outcomes using spatiotemporal data in Australian Rules football Spencer,
Bartholomew; Jackson, Karl and Robertson, Sam |
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13:30-14:30 |
LUNCH |
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14:30-16.10 |
Parallel Session
3A (Chair: N. Hirotsu) Ranking of Teams
and Athletes
Ranking
Elite Swimmers using Extreme Value Theory Spearing, Harry
and Tawn, Jonathan Objectively
Modelling the College Football Playoff Committee’s Selections Trono, John
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Parallel Session
3B (Chair: I. Ntzoufras) Sports Modelling
and Prediction Modelling
the outcomes of professional snooker matches Collingwood,
James; Wright, Michael and Brooks Roger Statistical
Models of Horse Racing Outcomes Using R Owen, Alun
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Ranking
of Japanese University Baseball Toriumi,
Takashi Talent detection
in sport: Machine Learning methods for performance prediction Leroy, Arthur
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Extreme
value prediction: an application to sport records Fonseca, Giovanni
and Giummolè,
Federica Modelling
Momentum in Football Ötting, Marius; Langrock, Roland and Maruotti,
Antonello |
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16:10-16:40 |
COFFEE BREAK |
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16.40-17.40 |
Plenary
Session #2 (Chair: P. Scarf) Availability-to-train
in elite sport By Dr. Ioannis Kosmidis, Reader in
Data Science, Department of Statistics, University of Warwick |
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17.40-19.45 |
Parallel Session
4A (Chair: M. Hvattum) New Challenges in
Sports The
explosive growth of eSports and the potential for research opportunities Kee, Lyn; Huynh,
Minh; Meyer, Denny and Marshall, Kelly Overcoming
the incentive incompatibility of tournaments with multiple group stages Csato,
Laszlo Avoiding
combinatorial clashes for the Champions Hockey League Group Stage Draw Westphal, Stephan Favorite
longshot bias and betting margin: An insider’s perspective Maras, Kostas
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Parallel Session
4B (Chair: G. Hunter) Understanding the
Game The
Age Advantage in Youth Football Lawrence, Steve;
Jonker, Laura and Verbeek, Jan Scarf, Phil;
Baker, Rose and Parma, Rishikesh Comparison
between some European football leagues through related count data variables Cueva, Valentina;
Rodríguez-Avi, José and Olmo-Jiménez, María
José Contextual
information improves the accuracy of predicting the direction of serve in
professional tennis Yamamoto,
Hiroyuki; Kudo, Kazutoshi; Buszard,
Tim; Reid, Machar; Farrow, Damian and Kovalchik,
Stephanie Identifying
Technical Functions of Footballers using Hierarchical Cluster Analysis Unsoy, Orbay |
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19:45-24.00 |
Free evening |
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TUESDAY 2 JULY 2019 |
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09:05-10:00 |
Plenary
Session #3 (Chair: R. Stefani) Extensions
of the Elo Rating System for Margin of Victory By Dr Stephanie Kovalchik, Institute of Sport, Exercise and Active
Living, Victoria University, Melbourne, Australia |
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10:00-11:40 |
Parallel Session
5A (Chair: S. Kovalchik) Quantitative
Methods in Tennis Fame
and Fortune in Elite Tennis Revisited Meyer, Denny;
Huynh, Minh; Marshall, Kelly and Pollard, Geoff Random
Walks with Memory Applied to Grand Slam Tennis Matches Modeling Kouřim, Tomáš Serve
and Return Glicko: An approximate Bayesian model
for within-match win prediction Ingram,
Martin Using
a multi-camera tracking system to estimate ball spin in tennis Cant, Olivia; Kovalchik, Stephanie; Cross,
Rod and Reid, Machar |
Parallel Session
5B (Chair: A. Owen) Prediction in Football
(Soccer) Score-based
soccer match outcome modeling - an experimental review Hubáček, Ondřej; Šourek, Gustav
and Železný Filip
Modelling
the 2018 FIFA World Cup - Could we have "Beaten the Bookies" ? Hunter, Gordon; Jauvion, Benjamin; Rashid Ishan
and Sharif-Ali, Mohamed A
Bayesian dynamical bivariate Poisson state space model for predicting
football scores and results Ridall,
Peter Using
the Poisson-Log-Normal Regression Model with Varying Dispersion to analyze
soccer data Tzougas, George
and Karlis, Dimitris |
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11:40-12:10 |
COFFEE BREAK |
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12:10-13:25 |
Parallel Session
6A (Chair: G. Fonseca) Betting Sports
betting strategies: an experimental review Uhrín, Matej; Šourek, Gustav; Hubáček,
Ondřej and Železný, Filip A Modern Love
Story: Machine Learning and the Global Sports Betting Industry Danzig,
Lloyd Establishing a
performance edge in P2P betting Donovan, Carl; Caneco, Bruno and Bleak, Colin |
Parallel Session
6B (Chair: I. Kosmidis) Understanding the
game using inplay analysis Flexible
multivariate point processes with applications to modelling football matches Narayanan,
Santhosh; Kosmidis, Ioannis
and Dellaportas, Petros Alexander,
Jeremy; Spencer, Bartholomew; Sweeting, Alice;
Mara, Jocelyn amd Robertson, Sam Zafar, Abdullah
and Yousefian, Farzad |
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13:30-14:30 |
LUNCH |
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14:30-16.10 |
Parallel Session
7A (Chair: V. Manasis) Models and
Methods for Volleyball Modelling
volleyball data using a Bayesian approach Egidi, Leonardo and
Ntzoufras, Ioannis A
quantitative method for evaluating the skills of national volleyball teams Konaka, Eiji Bayesian
Modelling of Volleyball Sets Palaskas, Vasileios;
Ntzoufras, Ioannis and Drikos, Sotiris Complex-1
in Male Volleyball as a Markov Chain Drikos, Sotiris
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Parallel Session
7B (Chair: F. Spieksma) Scheduling of
Sport Events Lessons
Learned in Scheduling the Finnish Major Ice Hockey League Nurmi, Kimmo; Kyngäs, Jari and Kyngäs, Nico On
the flexibility of Home-Away pattern sets Lambers, Roel; Goossens, Dries and Spieksma,
Frits Rest
Differences among Teams in European Football Leagues Atan, Tankut and Cavdaroglu, Burak Iterated
Local Search for Multi-league Scheduling Problems Repoussis, Panagiotis and Gisler, Walter
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16:10-16:40 |
COFFEE BREAK |
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16.40-17.40 |
Plenary
Session #4 (Chair: S. Drikos) Sports
Coaching: An Art and a Science By
Professor Simon Jenkins, Department of Sport, Exercise and Health,
University of Winchester |
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17.40-19.00 |
Free Time |
Free time |
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19:00-24.00 |
Departure for
Dinner at Karaiskaki Stadium |
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WEDNESDAY 3 JULY 2019 |
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09:05-10:00 |
Plenary
Session #5 (Chair: I. Ntzoufras) Winning
in Basketball with Data and Machine Learning By Dr
Konstantinos Pelechrinis , School of Computing and Information, University of
Pittsburgh |
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10:00-11:40 |
Parallel Session
8A (Chair: K. Pelechrinis) Prediction
in Basketball and Football Combining
the Four Factors with the Generalized PageRank (GeM)
model for NBA Basketball Twersky, Georgia; Lyman,
George and Pilkington, Anne New
Performance Measures for the NBA: An Indirect Evolutionary Game Theory
Approach Obrien, John and
Fichman, Mark A
hybrid random forest to predict soccer matches in international tournaments Van Eetvelde, Hans; Ley, Christophe; Groll, Andreas and Schauberger, Gunther Alternative
count regression models for modeling football outcomes Barbiero, Alessandro
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Parallel Session
8B (Chair: P. Repousis) Fairness and
Design Effect in Football (Soccer) Lambers, Roel and Spieksma Frits Perspectives
on Fairness in Sport Potts,
Chris An
evaluation of the three-point rule in football Koevoets,
Wim Champions
League or domestic league: a coach’s choice Goossens, Dries; Wang,
Chang and Vandebroek, Martina |
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11:40-12:10 |
COFFEE BREAK |
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12:10-13:50 |
Parallel Session
9A (Chair: S. Kechagias) Inplay Prediction Goes, Floris; Kempe,
Matthias and Lemmink, Koen Randomness
of Play Calling in College Football Curley, Brian; Hopkirk, Gretchen; Lokhorst, Ryan and Pilkington, Annette Survival
Modelling of Goal Arrival Times in Champions League Leriou, Ilias; Ntzoufras, Ioannis and Karlis, Dimitris Detection
of Playing Style of Football Teams and Players using Latent Dirichlet
Allocation Perdomo Meza, David
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Parallel Session 9B
(Chair: P. Ridall) Game Strategy
& Decision Making Rambau, Jörg and Richter, Rónán
Play-by-play
data analysis for team managing in basketball Grassetti, Luca; Bellio, Ruggero; Fonseca, Giovanni and Vidoni,
Paolo Passing
tactical relevance during soccer matches determined by machine learning Merlin, Murilo; Moura, Felipe; Torres, Ricardo; Principe, Vitor and Cunha, Sergio Augusto |
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13:50-14:00 |
CLOSING REMARKS |
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14:00-15:00 |
LUNCH |
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15.00-16.30 |
Free time |
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16.30-19.00 |
(Informal Walk in Panathinaic Stadium and the City Center) |
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