[-] About this table
Includes the
top 180 QBs by total plays
| Total <=0 | Percent of plays that are negative or no gain |
| Total >=10 | Percent of plays that gain 10 or more yards |
| Total >=25 | Percent of plays that gain 25 or more yards |
| 10 to 0 | Ratio of Total >=10 to Total <=0 |
Includes the
top 240 RBs by total plays
| Total <=0 | Percent of plays that are negative or no gain |
| Total >=10 | Percent of plays that gain 10 or more yards |
| Total >=25 | Percent of plays that gain 25 or more yards |
| 10 to 0 | Ratio of Total >=10 to Total <=0 |
Includes the
top 300 Receivers by total plays
| Total <=0 | Percent of plays that are negative or no gain |
| Total >=10 | Percent of plays that gain 10 or more yards |
| Total >=25 | Percent of plays that gain 25 or more yards |
| 10 to 0 | Ratio of Total >=10 to Total <=0 |
Includes
the
top 180 players by pass attempts)
| 3rdLComp% |
Completion % on 3rd and long (7+
yards) |
| SitComp% |
Standardized completion % for
down and distance. Completion % by down and distance are weighted by
the national average of pass plays by down and distance. |
| Pass <=0 | Percent of pass plays that are negative or no gain |
| Pass >=10 | Percent of pass plays that gain 10 or more yards |
| Pass >=25 | Percent of pass plays that gain 25 or more yards |
| 10 to 0 | Ratio of Pass >=10 to Pass<=0 |
| %Sacks |
Ratio of sacks to pass plays |
| Bad INTs |
Interceptions on 1st or 2nd down
early before the last minute of the half |
Includes the top 240 players by carries
| YPC1stD |
Yards per carry on 1st down |
| CPCs |
Conversions (1st down/TD) per
carry in short yardage situations - the team 3 or fewer yards for a 1st
down or touchdown |
| %Team Run |
Player's carries as a percent of team's carries |
| %Team RunS |
Player's carries as a percent of team's carries in short
yardage situations |
| Run <=0 |
Percent of running plays that
are negative or no gain |
| Run >=10 |
Percent of running plays that
gain 10 or more yards |
| Run >=25 | Percent of running plays that gain 25 or more yards |
| 10 to 0 | Ratio of Run >=10 to Run <=0 |
Includes the top 300 players by targets
| Conv/T 3rd | Conversions per target on 3rd Downs |
| Conv/T PZ | Touchdowns per target inside the 10 yardline |
| %Team PZ | Percent of team's targets inside the 10 yardline |
| Rec <=0 | Percent of targets that go for negative yards or no net gain |
| Rec >=10 | Percent of targets that go for 10+ yards |
| Rec >=25 | Percent of targets that go for 25+ yards |
| 10 to 0 | Ratio of Rec>=0 to Rec<=0 |
Includes the top 300 players by targets
| xxxx | xxxx |
...
Includes players with a significant number of attempts
| NEPA | "Net Expected Points Added": (expected points after play - expected points before play)-(opponent's expected points after play - opponent's expected points before play). Uses the expected points for the current possession and the opponent's next possession based on down, distance and spot |
| NEPA/PP | Average NEPA per play |
| Max/Min | Single game high and low |
Includes players with a significant number of attempts
| NEPA | "Net Expected Points Added": (expected points after play - expected points before play)-(opponent's expected points after play - opponent's expected points before play). Uses the expected points for the current possession and the opponent's next possession based on down, distance and spot |
| NEPA/PP | Average NEPA per play |
| Max/Min | Single game high and low |
| Adjusted | Reports the per game EPA adjusted for the strength of schedule. |
I know all picks are basically 100% stats, but does your model take into account home field advantage, night game, THU/FRI games, etc?
ReplyDeleteA great example is SCar @ LSU. All 7 of my inputs including yours have SCar winning but they're TERRIBLE on the road and are playing in one of the toughest places at night.
I think I should start by saying that it is my philosophy to use only statistics that I have found to be statistically relevant. My edge comes from ignoring the standard explanations and using what I find in the data.
DeleteI do include home field advantage based on venue (Death Valley is a tougher place to play than South Bend), distance (Hawaii has 2x the HFA of other teams), and conference affiliation. HFA typically ranges from 3-4 points in the continental US. -On a side note, only Hawaii (high HFA) and Navy (low HFA) are considerably different from everyone else. The other 122 teams are within a point and a half of one another. People often confuse good teams that attract big crowds for tough places to play.
I do not include day of the week or time of day because I haven't found a consistent statistical effect (I also haven't found a consistent effect for time of year). I might not have enough data for time of day, but I have 100 years of data on day of the week and I have not found a meaningful pattern.
As for South Carolina being terrible on the road: Are we talking about this season? As I see it, Vandy's tough and Shaw was losing body parts on the field, and Kentucky mixed some things up and SC made adjustments at half.
Even after losing last week, I still think LSU is clearly the most overrated team in the country. There is nothing elite about that team. They can win this game if they get a few breaks, but SC is undoubtedly the better team.
Not to blow smoke, but this is one of the best sites on the Web. I look forward to your analysis each week. Thanks!!
ReplyDeleteBlow away!
Delete