Publication

Using tennis rankings to predict performance in upcoming tournaments

Kuper, G., Sierksma, G. & Spieksma, F., 2014, Groningen: University of Groningen, SOM research school, (SOM Research Report; vol. 14034-EEF).

Research output: Working paperAcademic

APA

Kuper, G., Sierksma, G., & Spieksma, F. (2014). Using tennis rankings to predict performance in upcoming tournaments. (SOM Research Report; Vol. 14034-EEF). Groningen: University of Groningen, SOM research school.

Author

Kuper, Gerard ; Sierksma, Gerardus ; Spieksma, Frits. / Using tennis rankings to predict performance in upcoming tournaments. Groningen : University of Groningen, SOM research school, 2014. (SOM Research Report).

Harvard

Kuper, G, Sierksma, G & Spieksma, F 2014 'Using tennis rankings to predict performance in upcoming tournaments' SOM Research Report, vol. 14034-EEF, University of Groningen, SOM research school, Groningen.

Standard

Using tennis rankings to predict performance in upcoming tournaments. / Kuper, Gerard; Sierksma, Gerardus; Spieksma, Frits.

Groningen : University of Groningen, SOM research school, 2014. (SOM Research Report; Vol. 14034-EEF).

Research output: Working paperAcademic

Vancouver

Kuper G, Sierksma G, Spieksma F. Using tennis rankings to predict performance in upcoming tournaments. Groningen: University of Groningen, SOM research school. 2014. (SOM Research Report).


BibTeX

@techreport{9c3cc2c35fb7409ab50def4c7115a0aa,
title = "Using tennis rankings to predict performance in upcoming tournaments",
abstract = "We show how to use ATP and WTA rankings to estimate the probability that a player with a certain ranking advances to a specific round (for instance, the quarterfinals) in an upcoming tournament. We use the results from Grand Slam and Olympic tournaments in the period 2004 – 2014. Pooling the data, which is justified according to our tests, allows us to compute probabilities with relatively small confidence intervals. For instance, the probability of a top 4 tennis player to reach the quarterfinals is 0.722 with a 95{\%} confidenceinterval of (0.669; 0.771). This study was motivated by a request from the Dutch Olympic Committee (NOC*NSF).Based on our results, NOC*NSF decides which Dutch single tennis players to invite to participate at the 2016 Olympic Games of Rio de Janeiro.",
keywords = "Predicting performance, Ranking, Selection, Probit regression, Tennis",
author = "Gerard Kuper and Gerardus Sierksma and Frits Spieksma",
year = "2014",
language = "English",
volume = "14034-EEF",
series = "SOM Research Report",
publisher = "University of Groningen, SOM research school",
type = "WorkingPaper",
institution = "University of Groningen, SOM research school",

}

RIS

TY - UNPB

T1 - Using tennis rankings to predict performance in upcoming tournaments

AU - Kuper, Gerard

AU - Sierksma, Gerardus

AU - Spieksma, Frits

PY - 2014

Y1 - 2014

N2 - We show how to use ATP and WTA rankings to estimate the probability that a player with a certain ranking advances to a specific round (for instance, the quarterfinals) in an upcoming tournament. We use the results from Grand Slam and Olympic tournaments in the period 2004 – 2014. Pooling the data, which is justified according to our tests, allows us to compute probabilities with relatively small confidence intervals. For instance, the probability of a top 4 tennis player to reach the quarterfinals is 0.722 with a 95% confidenceinterval of (0.669; 0.771). This study was motivated by a request from the Dutch Olympic Committee (NOC*NSF).Based on our results, NOC*NSF decides which Dutch single tennis players to invite to participate at the 2016 Olympic Games of Rio de Janeiro.

AB - We show how to use ATP and WTA rankings to estimate the probability that a player with a certain ranking advances to a specific round (for instance, the quarterfinals) in an upcoming tournament. We use the results from Grand Slam and Olympic tournaments in the period 2004 – 2014. Pooling the data, which is justified according to our tests, allows us to compute probabilities with relatively small confidence intervals. For instance, the probability of a top 4 tennis player to reach the quarterfinals is 0.722 with a 95% confidenceinterval of (0.669; 0.771). This study was motivated by a request from the Dutch Olympic Committee (NOC*NSF).Based on our results, NOC*NSF decides which Dutch single tennis players to invite to participate at the 2016 Olympic Games of Rio de Janeiro.

KW - Predicting performance

KW - Ranking

KW - Selection

KW - Probit regression

KW - Tennis

M3 - Working paper

VL - 14034-EEF

T3 - SOM Research Report

BT - Using tennis rankings to predict performance in upcoming tournaments

PB - University of Groningen, SOM research school

CY - Groningen

ER -

ID: 15633501