Description Usage Format See Also
This dataset has lagging-leading differences in player statistics and renames descriptions of the game in terms of lagging and leading player as opposed to player1 and player2.
1 |
A data frame with 17680 rows and 107 variables; only variables not in tennis
are explained below. Note that differences were calculated by subtracting leading numbers from lagging numbers.
tennis
1 if lagging player serves, 0 otherwise
1 if leading player serves, 0 otherwise
points scored by lagging player in the game
points scored by leading player in the game
1 if lagging player wins game, 0 otherwise
1 if leading player wins game, 0 otherwise
number of games won by the lagging player in the given set thus far
number of games won by the leading player in the given set thus far
number of games won by the lagging player in entire match thus far
number of games won by the leading player in entire match thus far
1 if lagging player wins set, 0 otherwise
1 if leading player wins set, 0 otherwise
number of sets won by the lagging player thus far
number of sets won by the leading player thus far
1 if lagging player wins match
1 if leading player wins match
match-wise game deficit
match-wise set deficit
1 if lagging player is right-hand dominant, 0 otherwise
1 if leading player is right-hand dominant, 0 otherwise
1 if players are dominant in different hands, 0 otherwise
difference in the players' ranks
difference in the service games won
difference in return games won
age of lagging player
age of leading player
difference in the players' ages
tennis_cleaned
for a player1/player2-defined dataset; tennis_data
for child set
Other final files: tennis_data
,
tennis
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