# A Deep Learning and Computer Vision Based Multi-Player Tracker for Squash
## 3 Results
\begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Game**} & \multicolumn{2}{c}{**Distance Traveled**} & \multicolumn{2}{c}{**Average Radial**} & \multicolumn{2}{c}{**\% Left of T \%**} & \multicolumn{2}{c}{**\% Behind T \%**} \\  & \multicolumn{2}{c}{**\% Error (\%)**} & \multicolumn{2}{c}{**Distance to T \%**} & \multicolumn{2}{c}{**Error 1 (\%)**} & \multicolumn{2}{c}{**Error 1 (\%)**} & \multicolumn{2}{c}{**Error 1 (\%)**} \\ \hline  & **UNF** & **FIL** & **UNF** & **FIL** & **UNF** & **FIL** & **UNF** & **FIL** \\ \hline \multicolumn{10}{c}{**EL SHORBAGY**} \\ \hline
1 & 22.13 & 3.51 & \(-\)8.11 & \(-\)7.41 & \(-\)0.026 & \(-\)0.028 & \(-\)0.024 & \(-\)0.025 \\
2 & 20.28 & 1.38 & \(-\)14.29 & \(-\)8.74 & \(-\)0.082 & \(-\)0.080 & \(-\)0.043 & \(-\)0.044 \\
3 & 0.43 & \(-\)7.29 & \(-\)13.61 & \(-\)6.21 & \(-\)0.012 & \(-\)0.015 & \(-\)0.070 & \(-\)0.070 \\
4 & 25.13 & \(-\)0.26 & \(-\)7.19 & \(-\)7.39 & \(-\)0.054 & \(-\)0.058 & \(-\)0.082 & \(-\)0.086 \\
5 & 29.38 & 11.72 & \(-\)20.00 & \(-\)10.06 & \(-\)0.054 & \(-\)0.054 & \(-\)0.087 & \(-\)0.085 \\ \hline \multicolumn{10}{c}{**MUSTONEN**} \\ \hline
1 & 18.85 & \(-\)0.10 & \(-\)7.37 & \(-\)7.74 & \(-\)0.061 & \(-\)0.055 & \(-\)0.009 & \(-\)0.009 \\
2 & 29.78 & 3.90 & \(-\)10.81 & \(-\)7.78 & \(-\)0.054 & \(-\)0.054 & \(-\)0.023 & \(-\)0.021 \\
3 & 6.98 & \(-\)4.34 & \(-\)12.04 & \(-\)7.07 & \(-\)0.048 & \(-\)0.046 & \(-\)0.022 & \(-\)0.020 \\
4 & 24.29 & 2.59 & \(-\)5.56 & \(-\)6.06 & \(-\)0.061 & \(-\)0.058 & \(-\)0.016 & \(-\)0.013 \\
5 & 21.26 & 2.23 & \(-  
\begin{table}
\begin{tabular}{c c c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Game**} & \multicolumn{4}{c}{**Average Speed**} & \multicolumn{4}{c}{**Average Speed excluding \(>\)9 m/s \% Error 1 (\%)**} & \multicolumn{4}{c}{**Average Speed excluding \(>\)9 m/s \% Error 1 (\%)**} \\ \hline  & \multicolumn{4}{c}{**EN**} & \multicolumn{4}{c}{**FIL**} & \multicolumn{4}{c}{**UNF**} & \multicolumn{4}{c}{**FIL**} & \multicolumn{4}{c}{**REF**} & \multicolumn{4}{c}{**UNF**} & \multicolumn{4}{c}{**FIL**} & \multicolumn{4}{c}{**REF**} & \multicolumn{4}{c}{**UNF**} & \multicolumn{4}{c}{**FIL**} \\ \hline  & **UNF** & **FIL** & **REF** & **UNF** & **FIL** & **REF** & **UNF** & **FIL** & **REF** & **UNF** & **FIL** & **REF** \\ \hline  & \multicolumn{10}{c}{**EL SHORBAGY**} \\ \hline
1 & 2.11 & 1.77 & 1.73 & 2.19 & 1.03 & 0.33 & 2.83 & 2.36 & 2.40 & 32.1 & 33.3 & 34.1 \\ \hline
2 & 2.33 & 1.97 & 1.93 & 3.58 & 1.52 & 0.51 & 2.98 & 2.47 & 2.50 & 28.8 & 27.5 & 28.7 \\ \hline
3 & 2.09 & 1.83 & 1.77 & 1.75 & 1.35 & 0.11 & 2.83 & 2.41 & 2.38 & 32.3 & 32.2 & 31.5 \\ \hline
4 & 2.36 & 1.88 & 1.79 & 2.89 & 1.02 & 0.43 & 3.00 & 2.42 & 2.41 & 27.5 & 30.0 & 32.0 \\ \hline
5 & 2.22 & 1.99 & 1.88 & 3.39 & 1.63 & 0.27 & 3.02 & 2.52 & 2.52 & 32.7 & 28.6 & 31.0 \\ \hline
**Average** & **2.22** & **1.89** & **1.82** & **2.76** & **1.31** & **0.33** & **2.93** & **2.44** & **2.44** & **30.7** & **30.3** & **31.5** \\ \hline  & \multicolumn{10}{c}{**MUSTONEN**} \\ \hline
1 & 2.13 & 1.81 & 1.82 & 2.17 & 1.24 & 0.23 & 2.88 & 2.34 & 2.41 & 32.1 & 30.6 & 30.8 \\ \hline
2 & 2.35 & 1.91 & 1.93 & 3.67 & 1.01 & 0.36 & 3.01 & 2.46 & 2.50 & 28.4 & 29.8 & 31.7 \\ \hline
3 & 2.22 & 1.93 & 1.85 & 2.96 & 1.62 & 0.