The TPE tracker has been down today, and I'm feeling a little antsy, so I decided to make a visualization around passing stats instead!
S22 - NSFL/DSFL Passing Statistics
Hopefully the graphs are pretty intuitive, but if not, here's a basic explanation--
![[Image: wBhNrRK.png]](https://i.imgur.com/wBhNrRK.png)
In the above example, TD is chosen as the 'Passing Measure', so the graph gives a basic scatterplot of team wins on the y-axis versus passing touchdowns on the x-axis. Any passing statistic listed in the index (and a few others that are easily derived) can be chosen from the dropdown menu. The graph also fits a regression line to the data, so it's easy to tell at a glance which predictors are likely to be statistically significant. Some early observations from the data--
S22 - NSFL/DSFL Passing Statistics
Hopefully the graphs are pretty intuitive, but if not, here's a basic explanation--
In the above example, TD is chosen as the 'Passing Measure', so the graph gives a basic scatterplot of team wins on the y-axis versus passing touchdowns on the x-axis. Any passing statistic listed in the index (and a few others that are easily derived) can be chosen from the dropdown menu. The graph also fits a regression line to the data, so it's easy to tell at a glance which predictors are likely to be statistically significant. Some early observations from the data--
- Perhaps unsurprisingly, touchdowns were a massive predictor of success in the NSFL last season. League records can be neatly divided by touchdown totals; the six teams with the best regular season records are also the teams that threw the most touchdown passes in S22. However, it is not clear that the same statement is true for the DSFL, where passing touchdowns do not appear to have a significant impact on wins. Though there is a slight positive correlation, all but one of the DSFL teams were clustered around the 5 to 8 win range, making prediction more difficult.
- One fact that surprised me in the NSFL was that despite the relative importance of touchdowns, interceptions do not appear to have a significant impact on a team's performance. In fact, every team (except for Chicago [19] and Sarasota [12]) threw between 7 and 9 interceptions, regardless of their passing volume. This is beneficial to high-volume passing teams like the Outlaws and detrimental to more run-heavy teams like the Hahalua and can be seen more clearly when viewing Int%.
![[Image: Maglubiyet.gif]](https://sig.grumpybumpers.com/host/Maglubiyet.gif)
![[Image: Untitled-1.png]](https://cdn.discordapp.com/attachments/648139102855888899/948346452843839508/Untitled-1.png)
![[Image: Award_Card_Template_-_S26_DPOY.png]](https://cdn.discordapp.com/attachments/721761354846961716/815756424684503110/Award_Card_Template_-_S26_DPOY.png)
