## 2 Materials and Methods
### Variables
\begin{table}
\begin{tabular}{l l l l} \hline \hline
**Category** & **Expression** & **Parameter** & **Part Game** \\ \hline \multirow{3}{*}{Shot-related} & \multirow{3}{*}{Number (n)} & - Shots, shots on target, shots not on target & \multirow{3}{*}{Full Game} \\  & & - Shots/shots on target/shots not on target inside attacking penalty box & \\  & & - Expected Goals & \\  & & - Shots resulting from 8 playing styles \({}^{\text{A}}\) & \\ \hline Defense & Number (n) & - Duels won, possession won/loss & Full Game \\ \hline \multirow{3}{*}{Technical} & \multirow{3}{*}{Number (n)} & - Total/forward/sideways/backward passes, successful passes & \multirow{3}{*}{\
\begin{tabular}{} \end{tabular} } \\  & & - Total/forward/sideways/backward passes to attacking half/third & \\  & & - Dribless, successful dribbles & \\  & & - Ball touches in attacking penalty box & \\  & & - Passes \textless{} 10 m, Passes \textless{} 25 m, Passes \textgreater{} 25 m & Full Game \\  & & - Possession in 8 playing styles \({}^{\text{A}}\) & \\ \cline{2-4}  & Percentage (\%) & - Total ball possession & \\  & & - Ball possession on defensive half/attacking half/attacking third/attacking penalty box & \\ \hline \multirow{3}{*}{Physical} & \multirow{3}{*}{Distance (m)} & - Total distance & \multirow{3}{*}{First/Second Half} \\  & & - Distance between 0–6 km/h, 6–15 km/h, 15–20 km/h, 20–25 km/h, \textgreater{}25 km/h & \\  & & - Distance at accelerations/decelerations \textgreater{}23 ms\({}^{2}\)/\textgreater{}3 ms\({}^{2}\) & \\ \cline{2-4}  & Number (n) & - Actions at speed \textgreater{}15 km/h/\textgreater{}25 km/h & \\  & & - Accelerations/decelerations \textgreater{}23 ms\({}^{2}\)/\textgreater{}3 ms\({}^{2}\) & \\ \hline Disciplinal & Number (n) & - Fouis, fouls at attacking half, yellow cards, red cards, offside & Full Game \\ \hline Set-Pieces & Number (n) & - Comers, penalties, free kick/throw-in on attacking third & Full Game \\ \hline \multirow{3}{*}{Contextual} & \multirow{3}{*}{Currency (€)} & - Line-up/bench current estimated total transfer value & \multirow{3}{*}{
\begin{tabular}{} \end{tabular} } \\  & & - Line-up/bench estimated paid total transfer value & \\ \cline{1-1} \cline{2-4}  & Age (years) & - Line-up/bench average age & \\ \cline{1-1} \cline{2-4}  & Arbitrary Units (AU) & - ELO-ratings, Form & \\ \cline{1-1} \cline{2-4}  & Number (n) & - Days between games & \\ \cline{1-1} \cline{2-4}  & Match location & - Home/Away & \\ \hline \hline \end{tabular}
\end{table} 
Table 1: An overview on the 100 included variables. \({}^{\text{A}}\) Playing styles: Maintenance, Build-Up, Sustained Threat, Fast Tempo, Direct Play, Counter Attack, Crossing, High Press. games, to consider the possible effect of additional games for one team compared to the other on winning or losing. Differences between the two teams competing during each game were calculated and used as input variable in this study, with the exception of match location. During games, there are interactions between the two competing teams [1], and these interactions will result in different performance statistics for both teams. The difference of each performance statistic between the two teams may provide insights into the difference in performance by the two teams on the pitch, and therefore be more informative to the model than the separate performance statistics of both the teams. Moreover, by not including the performance statistics of both teams into the model, the dimensionality of the model can be limited.