| Category | Injuries | LT 5 | 5-14 | 15-24 | 25-64 | 65+ |
|---|---|---|---|---|---|---|
| Basketball | 313924 | 1216 | 109696 | 143773 | 57413 | 1825 |
| Football | 265747 | 581 | 145499 | 100760 | 18527 | 381 |
| Soccer | 179284 | 1313 | 80540 | 68602 | 27997 | 832 |
| Baseball | 136874 | 2560 | 61336 | 39981 | 29232 | 3765 |
| Lacrosse | 66882 | 455 | 20252 | 20142 | 15334 | 10699 |
| Snow_Sports | 66633 | 173 | 12493 | 24298 | 26267 | 3402 |
| Golf | 60897 | 1729 | 9166 | 5080 | 21108 | 23815 |
| Volleyball | 50643 | 82 | 16923 | 25461 | 7151 | 1027 |
| Hockey | 37893 | 186 | 10967 | 16469 | 9494 | 778 |
| Boxing | 17445 | 63 | 2017 | 8545 | 6784 | 36 |
This is a summary table of the cleaned dataset. It displays injuries from 10 different sports across five different age groups. From this table you can see that basketball has the largest amount of injuries endured while boxing has the least amount.
Data Sources:
Sports Injuries by Number of Injuries, 2022
Additional Relevent Data: Epidemiology of Collegiate Injuries
This is a horizontal bar plot displaying the number of injuries endured in each sport for ages 5-14. Within this age group, you can see that football is the sport with the highest number of injuries, reaching almost 150,000 injuries in the year 2022. There is also a significant number of injuries in this age group within basketball and baseball. In the plot you can see that there have been over 100,000 basketball injuries endured within this younger age group. The sport with the smallest number of injuries endured by this age group is boxing. Volleyball, snow sports, lacrosse, hockey, golf, and boxing all have less than 25,000 recorded injuries within this age group.
This horizontal bar plot displays the number of injuries endured in each sport for ages 25 and older. Consistent to our bar plot displaying number of injuries endured in each sport for ages 5-14, basketball is the sport with the largest number of injuries. There are close to 60,000 basketball injuries endured by this age group. Following basketball, golf and baseball also have a significant amount of injuries endured by ages 25 and older. There are over 40,000 golf injuries and slightly over 30,000 baseball injuries. Boxing and volleyball are the sports with the least amount of injuries recorded within this age group, both falling below 10,000 injuries.
This series of pie charts displays the number of injuries endured in the four most injurious sports by each age group. Out of the ten sports we are analyzing within this data set, the four with the highest number of injuries across all age groups are basketball, football, socccer, and baseball. With this pie chart series, you can clearly see the distribution of injuries endured by the different age groups across these four sports. There are a significant amount of injuries across the four sports within the 5-14 year old age group, 15-24 year old age group, and 25-64 year old age group. The age group of 5-14 year olds have endured a significant amount of football injuries, making up 54.8% of the recorded football injuries for 2022. The 15-24 year old age group makes up a significant portion of basketball injuries, making up 45.8% of recorded injuries. The youngest age group of 0-4 year olds and the oldest age group of 65+ year olds make up the smallest proprtion of injuries for all four of these sports. For football, basketball, and soccer, the oldest and youngest age groups make up less than 1% of injuries. The 65+ age group makes up 2.8% of baseball injuries and the 0-4 year old age group makes up 1.9% of baseball injuries. Based off the distribution of injuries within this pie chart series, it is clear that ages 5-25 make up a significant portion of injuries within these top four most injurious sports of the dataset.
This plot is an interactive dygraph exploring the relationship between injuries causing players to miss games and the number of games won throughout the 2023 regular season for the Buffalo Bills. This graph will track if there is any relationship between the number of injuries and the overall success of the team.
Weeks 1 through 4 have a decreasing, stagnant, and increasing amount of injuries, but the Bills win all four of those games implying that the injuries are not impacting the overall success of the team. Week 5 has an increase of injuries resulting in a loss, while in Week 6 the amount of injuries remain constant and result in a win. Weeks 8 through 10 show an increase in injuries every week peaking at 12, and result in the longest period for the whole season that the Bills go without a win. When the number of injuries drop in Week 11 the Bills are able to get a win, and when the injuries increase back to 12 in Week 12 the Bills lose. Week 13 is a bye week resulting in a drop in the number of injuries and when they return in Week 14 they win. The Bills do not lose again for the rest of the season despite fluctuating numbers of injuries, however the number of injuries remains lower during this time frame than it did when they peaked at 12 injured players.
While there are some Weeks where the success of the team may not be able to be determined by the number of injuries, overall it does appear that there is potentially a relationship between the number of injuries and the overall success of the Buffalo Bills.
Data Sources:
2023 Season Results Buffalo Bills Injury Report
This plot is an interactive dygraph exploring the relationship between injuries causing players to miss games and the number of games won throughout the 2023 regular season for the New York Giants. This graph will track if there is any relationship between the number of injuries and the overall success of the team.
In Week 1 the Giants had 13 injuries and were unable to win their season opening game. Week 2 the number of injuries drops to just 7 players and this translated to a Gaints’ win. Weeks 3 to 6 have a fluctuating number of injuries and the Giants’ do not win a single game, which could imply that the number of injuries do not have a correlation to the success of the team. However, Weeks 7 to 10 have a large increase in the number of injuries peaking at 16 injuries and translating to zero wins for the Giants. Weeks 11 and 12 have a decrease in injuries from Week 10 and result in back to back wins. Week 13 is a bye week for the Giants, which decreases the number of injuries all the way to Week 14 resulting in a win after their bye week. Weeks 14 through 17 once again have a fluctuating amount of injuries and the Giants once again do not win a single game in that time frame. Lastly, Week 18 has an increase in injuries, but the Giants win their last game of the season, implying that the increase in injuries did not have an imapct on the success of the team for that specific game.
Throughout the season, it sometimes appears as though the number of injuries impacts the success of the team, while in other weeks the number of injuries seem to make no difference.
Data Sources: 2023 Season Results New York Giants Injury Report
This plot is an interactive dygraph exploring the relationship between injuries causing players to miss games and the number of games won throughout the 2023 regular season for the New York Jets. This graph will track if there is any relationship between the number of injuries and the overall success of the team.
The Jets started out their season with a win in Week 1, but lose Weeks 2 through 4 despite having a lower amount of injuries as they did in Week 1. There was a decrease in injuries in Week 5 resulting in a win, but there was an increase injuries in Week 6 which the Jets also won. Week 7 was their bye week resulting in a decrease in injuries and the Jets were able to win after returning in Week 8. Weeks 9 through 11 there was an increase in injuries and the Jets did not win any games, but Weeks 12 and 13 had a decrease in injuries and the Jets still did not win. Week 13 had an increase in injuries but the Jets were able to win, and Week 14 also had an increase in injuries but the Jets lost. Week 16 the number of injuries remained constant and the Jets won, and in Week 17 the number of injuries increased resulting in a loss. Lastly, in Week 18 the number of injuries increased and peaked with the highest amount of the season at 19, but the Jets were able to win.
The correlation between the number of injuries and the success of the New York Jets does not appear to be strong.The correlation between the number of injuries and the overall success of a team appears to be the strongest in the Buffalo Bills, but this goes to prove that the amount of injuries and success can differ from team to team. However, in each team it is interesting to note that the number of injuries decreased during their bye weeks and the returning game after that week every team won, implying that the week off in some way benefited the team. The charts and data do not explain the players who are injured along with their contributions and roles within a team which can play a major role on the impact it will have on the team if they are injured. For example, a back up offensive lineman being injured would likely not have the same impact on a game as the starting quarterback being injured. Overall, while there may be some relationship between the number of injuries and success, there are many more variables (player, position, etc.) that need to be considered when evaluating injuries and the impacts it has on team success.
Data Sources: 2023 Season Results New York Jets Injury Report
The following data came from ESPN, a cable sports channel, and CHRON, a daily news source based in Houston. I used the data to produce a grouped bar plot consisting of four different plots. The plots are listed in order from most to least difficult sport based off of four sports of my interest. Ten different metrics came into play when analyzing which sport is more difficult than another. The metrics are presented in the legend on the right side of the bar plot. The “values” of the metrics were measured on a ten point scale, as seen in the ESPN database, so I made the y-axis in intervals of 2.5. After analyzing the sports difficulty’s I took a look into their average salaries using the CHRON database. This grouped bar plot also allows you see how the different metrics effect the outcome of a sports difficulty ranking.
After some thorough investigating, I surprisingly concluded that there isn’t a correlation between the difficulty of a sport and the sports average salary. The bar plot shows that the most difficult sport ice hockey has the lowest average salary, the second most difficult sport football has the second lowest average salary, the third most difficult sport Basketball has the highest average salary, and Baseball, the easiest of the four sports, has the second highest average salary for their athletes.
The data used for these plots was found on ESPN, and its composed of 60 different sports, 10 skills or attributes of a sport, and the level of difficulty of the sport which is represented by total in each of the graphs. The skill with the highest correlation is Durability, which has a correlation of 0.85. This means that if your sport requires a high amount of Durability, than you can expect a higher level of difficulty within your sport. Another skill with a high correlation is Agility, with a correlation of 0.82. On the other hand, the skill with the lowest correlation is Hand Eye Coordination, with a correlation of 0.35. This means that if your sport requires a high amount of Hand Eye Coordination, that doesn’t necessarily mean your sport is going to be more difficult. Other skills with low correlations include Nerve and Analytic Aptitude with correlations of 0.47 and 0.48 respectively. This is important because people in the sports industry, or people in general, can argue whether or not a sport is more difficult than another sport. These plots don’t necessarily show that, but if you look at the original data set, you can see some surprising rankings. If you look at the correlations of the skills and level of difficulty of the sport above, you can depict which sports are going to be more difficult. The consensus is that if your sport is more physically demanding, the level of difficulty of your sport is going to be more difficult.
Data Sources: ESPN Skills