Dear all,
we are glad to announce the following seminar by Dr. *Vincenzo Candila*
(University of Salerno) on Wednesday March 29th 2023 starting from 4:30
p.m. in room 2062 at the Department of Statistics and Quantitative Methods,
University of Milano-Bicocca (Milan).
*On the tennis winner forecasting methods: from the Weighted Elo rates to
the network-based indicators*
*Vincenzo **Candila*
Department of Economics and Statistics
University of Salerno
*Abstract:*
Statistical methods for predicting the winner in tennis matches have
increased in popularity over the last two decades. Currently, several
techniques are available, such as the regression-based, point-based, and
paired-comparison approaches. Within this latter class, the Elo rating is
one of the most popular methods to predict the probability of winning
tennis matches. Even with its widely recognized merits in terms of good
performance, the Elo method only partially considers each player's current
form and recent performances. To overcome this drawback, we have proposed a
new version of the Elo rating method, labeled Weighted Elo (WElo), where
the standard Elo rates are weighted according to the scoreline of the
players’ last match. More recently, we have further enlarged the
paired-comparison class of models, introducing the network-based indicators
for the first time to allow the ratings of the whole set of players to vary
every time there is a new match. This work aims to illustrate the main
characteristics of the WElo and network-based rates. In the empirical
applications, we show the statistically meaningful benefits of using the
proposed approaches with respect to many popular competing specifications.
*March 29th, 2023 at 4:30 p.m.*
*Department of Statistics and Quantitative Methods*
*Room **2062* * - Building U7 (Second floor)*
*Bicocca degli Arcimboldi street, 8 – 20126 Milan*
For further information, please write to rosanna.grassi(a)unimib.it