Team statistics for NCAA Division 1 Men’s and Women’s Lacrosse

correlation
indicator variables
linear regression
side-by-side boxplots
These data sets contain team statistics for NCAA Division I women’s and men’s lacrosse in the 2022 and 2023 seasons.
Author

Jack Fay, A.J. Dykstra, and Ivan Ramler

Published

July 24, 2023

Motivation

Over the years, lacrosse has experienced remarkable growth, with increased popularity and participation propelling the sport to new heights. This surge has led to a rise in skilled athletes competing in high-level leagues, notably NCAA Division I Men’s Lacrosse. Within this heightened competition, faceoffs are known to be a vital aspect of the game. Due to their important impact, players train to specifically specialize in them, as winning a faceoff often grants their teams crucial opportunities for offensive possession which can profoundly impact the course of the game.

Data

There are three data sets: 2022-2023 statistics for Men’s teams, 2022-2023 statsitics for Women’s teams, and a dataset combining the Men’s and Women’s statisitcs (that only includes the variables available in each of the other two).

lacrosse_men_ncaa_div1_2022_2023.csv

This data set contains 72 rows and 22 columns. Each row represents a men’s lacrosse team at the NCAA Division 1 level from the 2022-2023 season.

lacrosse_women_ncaa_div1_2022_2023.csv
Variable Description
Team college of the team
avg_assists average assists to goals per game
avg_caused_turnovers average turnovers forced by the team per game
clearing_pctg percentage of successful attempts to earn an offensive opportunity after gaining the ball in the teams own half
total_faceoffs total faceoffs taken by a team for the season
faceoff_wins total faceoff wins by a team for the season
faceoff_win_pct proportion of total faceoff wins out of total faceoffs. Equivalent to the draw percentage in women’s lacrosse.
avg_goals average goals per game
avg_goals_allowed average goals allowed by the team per game
avg_ground_balls average loose balls picked up by the team per game
man_down_defense_pctg proportion of times a team stops the opponent from scoring while man down due to a penalty
man_up_offense_pctg proportion of times the offense scores out of total opportunities while man up
avg_scoring_margin average margin of goals per game
opp_clear_pctg opponents clearing percentage averaged by game
avg_points average team points per game
avg_saves average saves per game
shot_pctg proportion of shots that go in out of total shots
avg_turnovers average turnovers that are directly the fault of a player per game
W total wins by the team
L total losses by the team
win_loss_pctg proportion of games won out of total games

This data set contains 120 rows and 18 columns. Each row represents a women’s lacrosse team at the NCAA Division 1 level from the 2022-2023 season.

Variable Name Description
Team The name of the women’s NCAA lacrosse team.
draw_pctg Draw percentage, the proportion of draw controls won by the team in a game. Equivalent to the Faceoff percentage in Men’s lacrosse.
turnovers_per_game Average number of turnovers committed by the team per game.
sog_per_game Shots on goal (SOG) per game, the average number of shots on goal taken by the team.
assists_per_game Average number of assists made by the team per game.
caused_turnovers_per_game The average number of caused turnovers by the team per game.
clearing_pctg Clearing percentage, the rate at which the team successfully clears the ball from defense to offense.
draw_controls_per_game The average number of draw controls won by the team per game.
fouls_per_game Average number of fouls committed by the team per game.
free_position_pctg Free position percentage, the rate of successful free position shots taken by the team.
ground_balls_per_game The average number of ground balls scooped by the team per game.
points_per_game Average number of total points (goals + assists) scored by the team per game.
save_pctg Save percentage, the proportion of shots on goal saved by the team’s goalkeeper.
goals_allowed_per_game Average number of goals allowed by the team’s defense per game.
goals_per_game Average number of goals scored by the team per game.
shots_per_game Average number of total shots (on goal + off target) taken by the team per game.
shot_pctg Shooting percentage, the proportion of shots on goal that result in a goal.
win_pctg The team’s winning percentage, calculated as the number of wins divided by total games played.
Note: The table provides a brief description of each variable, but more context and understanding might be required to interpret and analyze these statistics effectively in the context of women’s NCAA lacrosse.

lacrosse_men_and_women_ncaa_div1_2022_2023.csv

This data set contains 192 rows and 6 columns. Each row represents a lacrosse team at the NCAA Division 1 level from the 2022-2023 season. Teams come from both the men’s and womens division.

Variable Description
Team college of the team
faceoff_win_pct the proportion of faceoffs win out of total faceoffs taken
shots_per_game average amount of shots per game
shot_pctg proportion of shots that are goals out of total shots
win_loss_percentage amount of wins out of total games played
Division the division the team is in (Mens or Womens)

Questions

Using either Women’s or Men’s

  • Which teams have better faceoff win proportions than the average?

  • Which teams have worse faceoff win proportions than the average?

  • What sort of impact does faceoff percentage have on the success of the team?

Using the data with both Women’s and Men’s

  • In terms of a team’s win percentage, are faceoffs more important for men or women?

  • What factors could make faceoffs more important for men or women?

  • How does faceoff win percentage affect winning percentage?

References

NCAA Website: Women’s and Men’s Lacrosse Division I

http://stats.ncaa.org/rankings/change_sport_year_div