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Estimating the Relevance of First Offensive Shot Tactics in Table Tennis via Simulation Based on a Finite Markov Chain Model Cover

Estimating the Relevance of First Offensive Shot Tactics in Table Tennis via Simulation Based on a Finite Markov Chain Model

By: ,   and    
Open Access
|Mar 2025

Figures & Tables

Figure 1.

Flow chart of the state transition model exemplified on a rally starting with service for player A.

Figure 2.

Example of a simulated change of the transition probability (%) between FOSA-S – Point B (Error) as well as the resulting winning probabilities (%) from the bronze medal match Lin vs Ovtcharov.

Figure 3

Transition matrix for the men’s final of the Tokyo Olympics 2020 between Fan Zhendong and Ma Long (4–11, 12–10, 8–11, 9–11, 11–3, 7–11).

Table 1.

Descriptive statistics of the performance relevance per state transition.

State TransitionsMeanMedianMax.Min.Std.
mwmwmwmwmw
Serve-Def *0.320.130.270.082.121.59−1.08−1.340.600.58
Serve-FOS-S−0.22−0.06−0.18−0.051.561.61−2.12−1.540.650.57
Serve-P0.560.550.520.531.451.600.240.220.180.20
Serve-E−0.67−0.66−0.62−0.59−0.24−0.30−1.71−1.570.230.24
Def-Def *0.440.250.370.192.641.31−0.71−0.550.490.33
Def-FOS-D0.120.240.080.201.401.62−1.27−1.630.490.56
Def-P0.520.510.490.461.811.240.160.040.240.25
Def-E−0.91−0.87−0.84−0.80−0.12−0.04−2.17−2.180.390.46
FOS-S-FOS+10.820.850.770.882.272.72−0.31−0.350.540.54
FOS-S-P0.430.390.360.341.331.460.010.040.290.27
FOS-S-E−1.11−1.07−1.09−1.02−0.06−0.04−2.62−2.720.550.55
FOS-D-FOS+10.610.660.550.662.011.91−0.81−0.520.560.52
FOS-D-P0.540.460.520.411.301.200.060.060.320.28
FOS-D-E−1.07−1.01−1.02−1.02−0.09−0.12−2.45−2.010.490.50
FOS+1-FOS+21.531.621.481.583.173.69−0.240.150.720.73
FOS+1-P0.900.820.850.712.691.960.040.200.470.40
FOS+1-E−2.12−2.13−2.07−2.10−0.35−0.62−4.07−4.020.760.75
FOS+2-FOS+30.770.890.690.852.662.06−0.57−0.130.530.46
FOS+2-P0.460.450.430.381.551.300.040.030.270.29
FOS+2-E−1.07−1.15−1.03−1.12−0.04−0.16−2.87−2.490.500.53
FOS+3-Off0.500.580.480.551.561.48−0.44−0.290.370.41
FOS+3-P0.320.310.290.251.061.200.010.020.230.24
FOS+3-E−0.72−0.78−0.67−0.67−0.020.00−1.88−2.000.420.43
Fin-Fin *1.101.310.991.203.583.590.080.000.660.74
Fin-P0.660.650.600.522.071.780.030.000.430.48
Fin-E−1.51−1.66−1.31−1.58−0.270.00−4.05−4.240.780.97
Figure 4.

Performance relevancies of transitions to following shots as well as error from FOSs and subsequent shots as absolute mean values.

Language: English
Page range: 1 - 16
Published on: Mar 2, 2025
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services

© 2025 F. Rothe, R. Liu, M. Lames, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.