One of the most strongly correlated statistics with winning percentage in the NFL is the difference between a team's adjusted net yards per pass attempt (ANY/A) on offense and its adjusted net yards per pass attempt (ANY/A) on defense. Historically this difference in ANY/A has had a 0.84 correlation with win percentage in the NFL, which is extremely strong.
Here's an article that says more about ANY/A, including its relationship with Super Bowl teams over the years:
http://nflminds.blogspot.com/2011/06/adjusted-net-yards-per-passing-attempt_20.html
Here is the 2013 league data with regard to ANY/A:
As we can see above, the Dolphins' offensive ANY/A (4.8) through the first half of the season has been almost a standard deviation below the league average (5.89). Its defensive ANY/A (5.1) has been almost a standard deviation better than the league average (5.97), meaning of course that they have surrendered fewer ANY/A than the average team in the league. Its ANY/A differential (-0.3) is only slightly better than the league average (-0.08), which stands to reason given the strong correlation between ANY/A and win percentage. The average win percentage in the NFL is about .500, and the average ANY/A differential is about zero.
Let's take a look at how the Dolphins have fared so far this year in this regard:
Reading between the lines in the above data, I think we find there are two major ways that the Dolphins can turn their season around this year:
1) The league-wide correlation between pass attempts and ANY/A is nil (-0.02). However, the correlation between pass attempts and ANY/A for Ryan Tannehill is much greater (-0.40). What that means of course is that the fewer passes Ryan Tannehill throws, the better the Dolphins' offensive ANY/A, whereas for NFL quarterbacks league-wide, there is no such relationship between pass attempts and ANY/A.
This stands to reason, given that Ryan Tannehill is currently a developmental quarterback. Prior to the Cincinnati game, Ryan Tannehill attempted passes on more than 50% of the Dolphins' offensive plays. Finally, against Cincinnati last Thursday, as many people here had been suggesting, the Dolphins scaled back Tannehill's passing load, and he attempted passes on only 46% of the Dolphins' offensive plays. Instead, the run game was emphasized more than usual.
2) In the table above, notice the correlation between Cameron Wake's presence and the Dolphins' opponents' ANY/A. Wake was hurt during the Indy game, missed the following three games, played sparingly against Buffalo, and played increasingly more against New England and Cincinnati, culminating in the sack for a safety to win the Bengals game Thursday.
The correlation between the Dolphins' sacks of the opponent and their ANY/A in the games above is -0.61, meaning that the more sacks the Dolphins get, the lower their opponents' ANY/A. Likewise, the correlation between INTs thrown by the opponents above and their ANY/A is -0.75, meaning again that the more INTs the Dolphins get, the lower their opponents' ANY/A. Both of these figures (sacks and INTs) have been appreciably higher in the games this year in which Cameron Wake has not been sidelined or limited by injury, which of course stands to reason, given that Wake is one of the league's best at sacking the quarterback, and quarterback pressures often cause interceptions.
So, the take-home message here in my opinion is that the Dolphins have a recipe for winning the rest of the season, and it consists of:
1) Continuing to emphasize the running game on offense,
2) Continuing to limit Ryan Tannehill's overall passing load, and
3) Continuing to make plays defensively, spearheaded by Cameron Wake.
Here's an article that says more about ANY/A, including its relationship with Super Bowl teams over the years:
http://nflminds.blogspot.com/2011/06/adjusted-net-yards-per-passing-attempt_20.html
Here is the 2013 league data with regard to ANY/A:
TEAM | D ANY/A | O ANY/A | ANY/A DIFF | WIN % |
Houston Texans | 5.8 | 4.8 | -1 | 0.286 |
Pittsburgh Steelers | 5.5 | 5.6 | 0.1 | 0.286 |
Seattle Seahawks | 3.4 | 7 | 3.6 | 0.875 |
Tennessee Titans | 5.6 | 5.8 | 0.2 | 0.429 |
New Orleans Saints | 4.9 | 8.1 | 3.2 | 0.857 |
Carolina Panthers | 4.6 | 6.3 | 1.7 | 0.571 |
Indianapolis Colts | 5.5 | 6.5 | 1 | 0.714 |
Kansas City Chiefs | 4.2 | 5.4 | 1.2 | 1.000 |
Baltimore Ravens | 6.7 | 5.5 | -1.2 | 0.429 |
Oakland Raiders | 6.1 | 4.6 | -1.5 | 0.429 |
Tampa Bay Buccaneers | 6.4 | 4.5 | -1.9 | 0.000 |
New England Patriots | 4.6 | 4.8 | 0.2 | 0.750 |
Green Bay Packers | 6.9 | 8.3 | 1.4 | 0.714 |
Cleveland Browns | 5.1 | 4.8 | -0.3 | 0.375 |
Atlanta Falcons | 7.4 | 6.5 | -0.9 | 0.286 |
San Francisco 49ers | 5.1 | 6.9 | 1.8 | 0.750 |
St. Louis Rams | 7.2 | 5.5 | -1.7 | 0.375 |
Jacksonville Jaguars | 8 | 3.9 | -4.1 | 0.000 |
New York Jets | 6.4 | 4.3 | -2.1 | 0.500 |
San Diego Chargers | 7.5 | 8.2 | 0.7 | 0.571 |
Washington Redskins | 7.2 | 5.3 | -1.9 | 0.286 |
Chicago Bears | 7.1 | 6.8 | -0.3 | 0.571 |
New York Giants | 5.7 | 4.7 | -1 | 0.250 |
Cincinnati Bengals | 5.2 | 6.6 | 1.4 | 0.667 |
Minnesota Vikings | 6.8 | 4.4 | -2.4 | 0.143 |
Miami Dolphins | 5.1 | 4.8 | -0.3 | 0.500 |
Arizona Cardinals | 5.2 | 4.4 | -0.8 | 0.500 |
Buffalo Bills | 5.9 | 4.8 | -1.1 | 0.375 |
Detroit Lions | 6.3 | 7.5 | 1.2 | 0.625 |
Denver Broncos | 6 | 9.2 | 3.2 | 0.875 |
Philadelphia Eagles | 6.4 | 6.3 | -0.1 | 0.375 |
Dallas Cowboys | 7.2 | 6.3 | -0.9 | 0.500 |
AVERAGE | 5.97 | 5.89 | -0.08 | 0.50 |
STANDARD DEVIATION | 1.08 | 1.36 | 1.74 | 0.25 |
DOLPHINS Z-SCORE | -0.81 | -0.80 | -0.13 | 0.02 |
CORRELATION WIN % | -0.57 | 0.64 | 0.85 |
As we can see above, the Dolphins' offensive ANY/A (4.8) through the first half of the season has been almost a standard deviation below the league average (5.89). Its defensive ANY/A (5.1) has been almost a standard deviation better than the league average (5.97), meaning of course that they have surrendered fewer ANY/A than the average team in the league. Its ANY/A differential (-0.3) is only slightly better than the league average (-0.08), which stands to reason given the strong correlation between ANY/A and win percentage. The average win percentage in the NFL is about .500, and the average ANY/A differential is about zero.
Let's take a look at how the Dolphins have fared so far this year in this regard:
DOLPHINS ANY/A | OPPONENT ANY/A | ANY/A DIFF | W/L | |
BROWNS | 5.48 | 2.19 | 3.29 | W |
COLTS | 8.56 | 6.30 | 2.26 | W |
FALCONS | 4.75 | 5.95 | -1.20 | W |
SAINTS | 2.59 | 11.63 | -9.04 | L |
RAVENS | 6.35 | 6.06 | 0.29 | L |
BILLS | 4.15 | 3.69 | 0.46 | L |
PATRIOTS | 1.98 | 3.00 | -1.02 | L |
BENGALS | 6.06 | 2.88 | 3.18 | W |
Reading between the lines in the above data, I think we find there are two major ways that the Dolphins can turn their season around this year:
1) The league-wide correlation between pass attempts and ANY/A is nil (-0.02). However, the correlation between pass attempts and ANY/A for Ryan Tannehill is much greater (-0.40). What that means of course is that the fewer passes Ryan Tannehill throws, the better the Dolphins' offensive ANY/A, whereas for NFL quarterbacks league-wide, there is no such relationship between pass attempts and ANY/A.
This stands to reason, given that Ryan Tannehill is currently a developmental quarterback. Prior to the Cincinnati game, Ryan Tannehill attempted passes on more than 50% of the Dolphins' offensive plays. Finally, against Cincinnati last Thursday, as many people here had been suggesting, the Dolphins scaled back Tannehill's passing load, and he attempted passes on only 46% of the Dolphins' offensive plays. Instead, the run game was emphasized more than usual.
2) In the table above, notice the correlation between Cameron Wake's presence and the Dolphins' opponents' ANY/A. Wake was hurt during the Indy game, missed the following three games, played sparingly against Buffalo, and played increasingly more against New England and Cincinnati, culminating in the sack for a safety to win the Bengals game Thursday.
The correlation between the Dolphins' sacks of the opponent and their ANY/A in the games above is -0.61, meaning that the more sacks the Dolphins get, the lower their opponents' ANY/A. Likewise, the correlation between INTs thrown by the opponents above and their ANY/A is -0.75, meaning again that the more INTs the Dolphins get, the lower their opponents' ANY/A. Both of these figures (sacks and INTs) have been appreciably higher in the games this year in which Cameron Wake has not been sidelined or limited by injury, which of course stands to reason, given that Wake is one of the league's best at sacking the quarterback, and quarterback pressures often cause interceptions.
So, the take-home message here in my opinion is that the Dolphins have a recipe for winning the rest of the season, and it consists of:
1) Continuing to emphasize the running game on offense,
2) Continuing to limit Ryan Tannehill's overall passing load, and
3) Continuing to make plays defensively, spearheaded by Cameron Wake.