The Toolbox: Offensive PPP
Last week we took a look at success rates, our efficiency measure of choice (offense, defense). Today, we move to the other side of the S&P coin, EqPts Per Play, the explosiveness measure of choice, the slugging percentage to success rates' on-base percentage.
First, we start with the official EqPts definition at Football Outsiders:
Equivalent Points (EqPts): Method used by our college football analyst Bill Connelly, giving each yard line a point value based on the average number of points a team can expect to score from that spot on the field. (This is similar to the method we use to measure NFL special teams.) From there, each gain or loss is given a point value based on the change in EqPts.
Here's what I said about the EqPts concept in my very first Varsity Numbers column at Football Outsiders way, way back in aught-eight:
I enjoyed having Jerome "2 carries, 3 yards, 2 TDs" Bettis on my fantasy team that last year of his career, but let's be honest: Just about anybody could have come in and plunged in from the 1. Getting the ball to the 1 was the much bigger accomplishment, no? In this way, touchdowns are basically the Runs Batted In of football -- get enough of them, and it's damn impressive, but you need quite a bit of help racking up a big number.
Case in point: November 10, College Park, Maryland. Tight end Jason Goode catches two touchdown passes (of ten and seven yards) from Chris Turner as Maryland upsets No. 8 Boston College, 42-35. Good for Mr. Goode. However, what contributed more to Maryland's touchdowns -- Goode's two receptions or the 43-yard catch by Darrius Hayward that set up the first score and the 45-yard catch by Isaiah Williams that set up the second? What if we could apply a point value to all four catches?
So that was the goal. I determined the points scored on every possession of every game and assigned those points to each play of the possession. From there I was able to assign a 'point value' to every yard line based on the average number of points you could expect to score from there. And with that I was able to assign an Equivalent Point Value (EqPt) to every play.
The EqPts concept is perhaps best described by the following graph:

This shows you, basically, the point value of every yard line on the college football field. Note the different slopes. A five-yard gain from your own one is worth fewer EqPts than a five-yard gain at the opponent's 30. And since you still aren't guaranteed points until the ball crosses the end zone, a touchdown is still worth much more than anything else (6.96 points, to be exact, since college kickers can be expected to make 96.3% of their PATs).
Baseball's slugging percentage calculates the number of bases you earned per at bat. EqPts Per Play (PPP), therefore, calculates the number of approximate points you earned with every play you ran. It is my favorite creation, honestly, both potentially elegant and powerful. Now let's see what it can do.
As we did last week with success rates, the best way to get a feel for the PPP measure is to first look at some anchors. And as with success rates, the single-game measures come only from plays run during non-garbage time.
Smallest Single-Game PPP Against a Non-FCS Opponent, 2005-10
1. Buffalo (2005, vs Miami-OH): -0.26
2. Mississippi State (2005, vs Arkansas): -0.21
3. Temple (2006, vs Minnesota): -0.15
4. Washington State (2009, vs UCLA): -0.13
5. Idaho (2010, vs Boise State): -0.12
6. New Mexico State (2005, vs UTEP): -0.11
7. Washington State (2009, vs Arizona): -0.11
8. Tulane (2010, vs Central Florida): -0.09
9. Western Kentucky (2009, vs Tennessee): -0.08
10. UTEP (2009, vs Texas): -0.08
Other Games of Note
12. Northwestern (2010, vs Wisconsin): -0.08
23. Boston College (2009, vs Virginia Tech): -0.05
25: Boise State (2005, vs Georgia): -0.05
34. Arizona (2009, vs Nebraska): -0.03
So on average, every time these teams ran a play under "close" circumstances, they lost ground. It's hard to win like that. And I almost hate to bring it up, but ... that 2009 Washington State team really was among the worst major conference teams of all-time. What you thought was reasonable improvement from Wazzu in 2010 was actually rather significant improvement.
Largest Single-Game PPP Against a Non-FCS Opponent, 2005-10
1. Cincinnati (2010, vs Miami-OH): 1.46
2. Miami (2005, vs Temple): 1.44
3. LSU (2006, vs Mississippi State): 1.31
4. Minnesota (2006, vs Indiana): 1.25
5. California (2009, vs Washington State): 1.19
6. Iowa (2005, vs Minnesota): 1.17
7. Hawaii (2006, vs Utah State): 1.15
8. Louisville (2010, vs Memphis): 1.13
9. Northern Illinois (2009, vs Eastern Michigan): 1.12
10. Colorado State (2010, vs UNLV): 1.10
Other Games of Note
16. USC (2005, vs Arkansas): 1.06
19. Alabama (2010, vs Duke): 1.04
23. Texas (2005, vs Kansas): 0.98
31. Missouri (2008, vs Nevada): 0.96
PPP is a pure measure of explosiveness and, indirectly, athleticism. Teams with less athleticism than their opponents can outfox them into higher success rates ... but you really cannot fake explosiveness. You either have it or you don't. The teams on the above list bludgeoned their opponents with athleticism and big plays. (And I think there's a pretty good reason why some of the same teams that are on the "Smallest" list were also victimized on the "Largest" list.)
I put the 2008 Missouri-Nevada game on there, simply because I cannot imagine 30 offensive performances better than it. It was probably the most dominant offensive game I've witnessed in person. Ten yards per play. Touchdowns of 80, 59, 49, 32 and 27 yards. Chase Daniel, Jeremy Maclin, Derrick Washington (sigh), Chase Coffman, etc., were all at the top of their games. It was so bad that my best friend and I turned to each other in the second quarter and said "It's never going to get better than this, is it?" For that Missouri team, we were right -- it didn't.
Worst Single-Season PPP, 2005-10
1. Temple (2006): 0.11
2. Washington State (2009): 0.13
3. Temple (2005): 0.16
4. Florida International (2006): 0.16
5. New Mexico State (2009): 0.17
6. Stanford (2006): 0.17
7. Duke (2005): 0.17
8. Buffalo (2005): 0.17
9. Syracuse (2005): 0.17
10. North Texas (2006): 0.19
Other Teams of Note
14. Ole Miss (2005): 0.20
22. Notre Dame (2007): 0.21
28. Virginia (2009): 0.22
31. Washington (2008): 0.22
32. Kansas (2010): 0.23
At some point, I really need to dive into Notre Dame's 2007 collapse. It was so, so stark.
Best Single-Season PPP, 2005-10
1. Oklahoma (2008): 0.57
2. Hawaii (2006): 0.57
3. Florida (2007): 0.53
4. West Virginia (2006): 0.53
5. Boise State (2010): 0.52
6. Texas (2005): 0.51
7. USC (2005): 0.51
8. Tulsa (2008): 0.51
9. Hawaii (2007): 0.50
10. Hawaii (2010): 0.50
Other Teams of Note
11. Florida (2008): 0.50
12. Cincinnati (2009): 0.50
13. Auburn (2010): 0.49
14. Oklahoma State (2008): 0.49
15. Stanford (2010): 0.49
So that 2006 Hawaii squad ended up at or near the top of the list of best 2005-10 success rates and PPP. Proof that your best team doesn't always go the furthest. The 2007 Hawaii team got the BCS bid thanks to a much easier schedule and close wins, but the 2006 team was better, especially on offense.
So there's your background. Now here are your 2010 rankings. Once again, teams are ranked in order of schedule-adjusted PPP; we will discuss the schedule-adjustment soon enough.
| 2010 FBS Offenses, Ranked by PPP+ |
||||||||
| Rk | Offense | ClosePPP+ | Raw PPP | Rk | Rushing PPP | Rk | Passing PPP | Rk |
| 1 | Auburn | 174.6 | 0.49 | 3 | 0.40 | 8 | 0.65 | 1 |
| 2 | Arkansas | 160.4 | 0.45 | 9 | 0.34 | 34 | 0.53 | 7 |
| 3 | Michigan | 155.0 | 0.43 | 15 | 0.37 | 17 | 0.52 | 11 |
| 4 | Alabama | 153.1 | 0.47 | 5 | 0.42 | 4 | 0.52 | 10 |
| 5 | Stanford | 153.0 | 0.49 | 4 | 0.39 | 13 | 0.60 | 3 |
| 6 | Boise State | 149.5 | 0.52 | 1 | 0.42 | 5 | 0.61 | 2 |
| 7 | Florida State | 141.0 | 0.38 | 29 | 0.37 | 19 | 0.39 | 49 |
| 8 | Ohio State | 140.7 | 0.45 | 10 | 0.39 | 15 | 0.53 | 8 |
| 9 | Virginia Tech | 137.6 | 0.41 | 19 | 0.37 | 18 | 0.47 | 19 |
| 10 | Nevada | 136.1 | 0.46 | 8 | 0.44 | 2 | 0.49 | 15 |
| 11 | Michigan State | 135.6 | 0.43 | 17 | 0.39 | 12 | 0.46 | 21 |
| 12 | Oregon State | 133.1 | 0.35 | 57 | 0.34 | 36 | 0.35 | 72 |
| 13 | TCU | 133.1 | 0.47 | 6 | 0.40 | 9 | 0.55 | 5 |
| 14 | Oregon | 132.4 | 0.45 | 11 | 0.40 | 10 | 0.50 | 13 |
| 15 | Wisconsin | 132.2 | 0.44 | 12 | 0.43 | 3 | 0.45 | 24 |
| 16 | Washington | 132.0 | 0.36 | 47 | 0.33 | 42 | 0.39 | 51 |
| 17 | Oklahoma State | 130.7 | 0.44 | 14 | 0.39 | 14 | 0.48 | 18 |
| 18 | Utah | 130.6 | 0.39 | 26 | 0.30 | 65 | 0.46 | 23 |
| 19 | South Carolina | 130.1 | 0.39 | 23 | 0.34 | 33 | 0.45 | 25 |
| 20 | Hawaii | 129.5 | 0.50 | 2 | 0.49 | 1 | 0.51 | 12 |
| 21 | Oklahoma | 128.9 | 0.36 | 40 | 0.26 | 95 | 0.44 | 28 |
| 22 | Pittsburgh | 127.6 | 0.36 | 44 | 0.35 | 30 | 0.38 | 62 |
| 23 | Baylor | 127.1 | 0.42 | 18 | 0.34 | 31 | 0.48 | 17 |
| 24 | East Carolina | 126.0 | 0.39 | 22 | 0.36 | 23 | 0.41 | 36 |
| 25 | Cincinnati | 126.0 | 0.36 | 50 | 0.33 | 46 | 0.38 | 61 |
| 26 | Notre Dame | 125.6 | 0.35 | 55 | 0.28 | 82 | 0.40 | 45 |
| 27 | Georgia | 124.5 | 0.40 | 21 | 0.33 | 45 | 0.47 | 20 |
| 28 | San Diego State | 123.4 | 0.46 | 7 | 0.37 | 22 | 0.54 | 6 |
| 29 | Missouri | 122.8 | 0.36 | 39 | 0.40 | 11 | 0.34 | 82 |
| 30 | Kansas State | 120.4 | 0.37 | 33 | 0.36 | 25 | 0.39 | 48 |
| 31 | USC | 120.3 | 0.38 | 31 | 0.37 | 20 | 0.39 | 55 |
| 32 | Iowa | 119.4 | 0.39 | 24 | 0.30 | 69 | 0.49 | 14 |
| 33 | Miami-FL | 118.3 | 0.32 | 81 | 0.28 | 79 | 0.35 | 78 |
| 34 | Maryland | 117.2 | 0.35 | 53 | 0.28 | 78 | 0.42 | 35 |
| 35 | LSU | 115.8 | 0.33 | 66 | 0.33 | 43 | 0.34 | 81 |
| 36 | Kentucky | 115.6 | 0.37 | 34 | 0.33 | 47 | 0.41 | 37 |
| 37 | Nebraska | 115.2 | 0.37 | 35 | 0.38 | 16 | 0.35 | 75 |
| 38 | Ole Miss | 115.0 | 0.38 | 32 | 0.37 | 21 | 0.39 | 52 |
| 39 | Texas A&M | 114.9 | 0.33 | 68 | 0.33 | 44 | 0.34 | 83 |
| 40 | Arizona | 114.8 | 0.35 | 56 | 0.30 | 66 | 0.38 | 60 |
| 41 | Florida | 114.3 | 0.32 | 79 | 0.33 | 37 | 0.30 | 101 |
| 42 | NC State | 114.2 | 0.32 | 76 | 0.26 | 97 | 0.37 | 66 |
| 43 | Tennessee | 114.2 | 0.36 | 46 | 0.27 | 88 | 0.43 | 31 |
| 44 | Northern Illinois | 114.0 | 0.44 | 12 | 0.41 | 6 | 0.48 | 16 |
| 45 | Navy | 112.8 | 0.40 | 20 | 0.36 | 24 | 0.56 | 4 |
| 46 | Texas Tech | 111.6 | 0.35 | 52 | 0.29 | 77 | 0.40 | 44 |
| 47 | Louisville | 111.5 | 0.36 | 45 | 0.32 | 53 | 0.40 | 39 |
| 48 | Minnesota | 110.1 | 0.31 | 83 | 0.25 | 101 | 0.38 | 59 |
| 49 | Arizona State | 109.2 | 0.36 | 42 | 0.31 | 59 | 0.40 | 40 |
| 50 | Tulsa | 108.1 | 0.43 | 16 | 0.40 | 7 | 0.45 | 26 |
| 51 | Clemson | 107.7 | 0.30 | 87 | 0.28 | 83 | 0.32 | 90 |
| 52 | Illinois | 107.2 | 0.36 | 49 | 0.34 | 35 | 0.39 | 46 |
| 53 | Air Force | 106.8 | 0.38 | 27 | 0.35 | 29 | 0.52 | 9 |
| 54 | Colorado | 106.1 | 0.34 | 63 | 0.27 | 91 | 0.42 | 34 |
| 55 | Florida International | 105.2 | 0.35 | 51 | 0.35 | 28 | 0.36 | 70 |
| 56 | Indiana | 105.1 | 0.34 | 59 | 0.24 | 103 | 0.40 | 42 |
| 57 | Penn State | 104.2 | 0.32 | 78 | 0.26 | 94 | 0.38 | 58 |
| 58 | Duke | 104.0 | 0.32 | 80 | 0.32 | 50 | 0.31 | 98 |
| 59 | North Carolina | 103.7 | 0.33 | 64 | 0.29 | 71 | 0.37 | 64 |
| 60 | Georgia Tech | 103.5 | 0.34 | 62 | 0.34 | 32 | 0.31 | 97 |
| 61 | Houston | 102.9 | 0.38 | 28 | 0.33 | 41 | 0.42 | 33 |
| 62 | Toledo | 102.8 | 0.34 | 58 | 0.29 | 72 | 0.41 | 38 |
| 63 | Troy | 101.9 | 0.38 | 30 | 0.30 | 63 | 0.44 | 29 |
| 64 | West Virginia | 101.8 | 0.31 | 84 | 0.24 | 107 | 0.39 | 54 |
| 65 | South Florida | 101.7 | 0.29 | 96 | 0.27 | 91 | 0.32 | 91 |
| 66 | Wake Forest | 101.1 | 0.30 | 91 | 0.31 | 57 | 0.27 | 107 |
| 67 | Fresno State | 101.0 | 0.36 | 43 | 0.31 | 60 | 0.43 | 30 |
| 68 | UAB | 99.8 | 0.36 | 38 | 0.30 | 68 | 0.42 | 32 |
| 69 | Central Florida | 99.8 | 0.39 | 25 | 0.35 | 26 | 0.46 | 22 |
| 70 | Virginia | 99.7 | 0.33 | 73 | 0.30 | 64 | 0.35 | 79 |
| 71 | Connecticut | 99.7 | 0.29 | 94 | 0.29 | 75 | 0.30 | 102 |
| 72 | Temple | 99.3 | 0.34 | 60 | 0.33 | 40 | 0.35 | 76 |
| 73 | Western Michigan | 98.8 | 0.36 | 41 | 0.32 | 49 | 0.39 | 56 |
| 74 | SMU | 97.3 | 0.36 | 47 | 0.31 | 58 | 0.39 | 50 |
| 75 | Wyoming | 97.1 | 0.31 | 82 | 0.31 | 62 | 0.32 | 92 |
| 76 | Mississippi State | 96.7 | 0.33 | 65 | 0.30 | 67 | 0.40 | 41 |
| 77 | Ohio | 96.5 | 0.37 | 36 | 0.32 | 54 | 0.44 | 27 |
| 78 | Eastern Michigan | 96.4 | 0.32 | 75 | 0.29 | 74 | 0.39 | 53 |
| 79 | Iowa State | 95.2 | 0.27 | 105 | 0.27 | 89 | 0.28 | 104 |
| 80 | Louisiana Tech | 94.9 | 0.33 | 67 | 0.32 | 51 | 0.34 | 80 |
| 81 | Southern Miss | 94.9 | 0.37 | 37 | 0.33 | 39 | 0.40 | 43 |
| 82 | Washington State | 93.8 | 0.28 | 101 | 0.24 | 105 | 0.32 | 94 |
| 83 | UNLV | 93.1 | 0.27 | 109 | 0.22 | 113 | 0.32 | 96 |
| 84 | Northwestern | 92.1 | 0.33 | 72 | 0.28 | 84 | 0.38 | 57 |
| 85 | BYU | 91.5 | 0.31 | 85 | 0.28 | 81 | 0.33 | 85 |
| 86 | Arkansas State | 90.7 | 0.35 | 54 | 0.32 | 52 | 0.38 | 63 |
| 87 | California | 90.2 | 0.30 | 89 | 0.32 | 48 | 0.27 | 108 |
| 88 | Army | 89.7 | 0.32 | 74 | 0.32 | 55 | 0.36 | 69 |
| 89 | UCLA | 89.3 | 0.29 | 98 | 0.33 | 38 | 0.21 | 119 |
| 90 | Marshall | 88.9 | 0.29 | 95 | 0.20 | 116 | 0.37 | 66 |
| 91 | Syracuse | 88.6 | 0.28 | 100 | 0.26 | 98 | 0.31 | 99 |
| 92 | Rice | 88.6 | 0.33 | 70 | 0.28 | 80 | 0.39 | 47 |
| 93 | Colorado State | 87.4 | 0.28 | 99 | 0.26 | 96 | 0.30 | 100 |
| 94 | Rutgers | 85.7 | 0.27 | 108 | 0.21 | 115 | 0.32 | 95 |
| 95 | Miami-OH | 85.4 | 0.30 | 90 | 0.26 | 99 | 0.33 | 87 |
| 96 | Idaho | 84.6 | 0.33 | 71 | 0.27 | 93 | 0.37 | 66 |
| 97 | Boston College | 84.2 | 0.25 | 113 | 0.22 | 112 | 0.28 | 105 |
| 98 | North Texas | 84.0 | 0.33 | 69 | 0.32 | 56 | 0.35 | 74 |
| 99 | UL-Lafayette | 84.0 | 0.30 | 88 | 0.24 | 108 | 0.35 | 76 |
| 100 | San Jose State | 83.1 | 0.29 | 93 | 0.24 | 104 | 0.33 | 88 |
| 101 | Kent State | 80.9 | 0.28 | 102 | 0.29 | 72 | 0.27 | 106 |
| 102 | Texas | 80.8 | 0.26 | 112 | 0.27 | 90 | 0.25 | 111 |
| 103 | UTEP | 80.2 | 0.34 | 61 | 0.31 | 60 | 0.37 | 65 |
| 104 | Central Michigan | 80.0 | 0.30 | 86 | 0.27 | 86 | 0.32 | 93 |
| 105 | Purdue | 78.6 | 0.27 | 107 | 0.27 | 85 | 0.27 | 109 |
| 106 | Vanderbilt | 78.5 | 0.26 | 110 | 0.29 | 70 | 0.23 | 116 |
| 107 | Utah State | 78.1 | 0.27 | 106 | 0.29 | 76 | 0.25 | 115 |
| 108 | Tulane | 77.2 | 0.29 | 92 | 0.25 | 102 | 0.33 | 84 |
| 109 | Florida Atlantic | 76.4 | 0.27 | 104 | 0.19 | 117 | 0.35 | 71 |
| 110 | UL-Monroe | 74.5 | 0.29 | 97 | 0.23 | 110 | 0.35 | 73 |
| 111 | Ball State | 71.6 | 0.28 | 103 | 0.24 | 109 | 0.33 | 86 |
| 112 | Western Kentucky | 71.5 | 0.26 | 111 | 0.27 | 87 | 0.25 | 114 |
| 113 | Middle Tennessee | 70.1 | 0.32 | 77 | 0.35 | 27 | 0.28 | 103 |
| 114 | Bowling Green | 67.7 | 0.23 | 117 | 0.23 | 111 | 0.23 | 117 |
| 115 | Akron | 66.6 | 0.23 | 115 | 0.24 | 106 | 0.23 | 118 |
| 116 | Kansas | 65.9 | 0.23 | 118 | 0.26 | 100 | 0.19 | 120 |
| 117 | Memphis | 65.9 | 0.22 | 119 | 0.17 | 119 | 0.27 | 110 |
| 118 | New Mexico State | 64.0 | 0.23 | 116 | 0.22 | 114 | 0.25 | 113 |
| 119 | Buffalo | 63.5 | 0.24 | 114 | 0.15 | 120 | 0.33 | 89 |
| 120 | New Mexico | 60.9 | 0.21 | 120 | 0.18 | 118 | 0.25 | 112 |
I'd have been quite interested to see what Rich Rodriguez would have done in Ann Arbor in 2011 -- albeit with a different defensive coordinator. The Wolverines had a really, really strong offense in 2010, even though Denard Robinson predictably couldn't keep up his hilarious early pace.
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Rich Rod
Had it going at WVU, and looked to be turning it around at Meeechigan. I thought it was a mistake to fire him. Perhaps if they came out and did the same thing in 2011, but some schools don’t seem to have the patience.
Just found this blog
via OTE. I love what I’ve read so far, and am posting so that SBN will let me make this a favorite blog.
One more thing to prevent me from doing actual work.
Brunettes not fighter jets
Seeing Iowa make the "Largest" list made me do a double-take.
Going back and reviewing the box score was shocking. TDs of 46, 71, 26 & 38 are almost unheard of in Iowa City, to see them all in one game is pretty spectacular.
So I understand the concept of EPP,
but what Im semi curious of is does it take into account what down the play was on. Because given a scenario like FSU vs UF 2003, PK Sam’s bomb of a catch was great and was what scored the winning touchdown, but the 4th down conversion the play before made those points possible. So essentially what I mean is that the 24 yards Dominic Robinson got should count just as much as the 52 yard bomb that PK Sam caught. I understand it wasn’t as explosive, but without the conversion on 4th, the 52 yards bomb never happens.
So what I’m really wondering is how would you be able to combine the success rate into the epp and generate an importance per play of a drive.
Once upon a time...
…I looked at 2nd-level PPP (which took down into account) and 3rd-level PPP (down and distance), and what I quickly found was that their correlations to actual quality were not as good as with PPP itself. 2nd-level PPP has some value (five best 2ndPPP from the last six years, all from 2008: Oklahoma, Texas Tech, Tulsa, Texas, Rice), but 3rd is crazy (two best 3rdPPP: 2007 Ball State, 2007 Rice). It appears to be a tool that might fill in some gaps here and there, but it’s crazy enough that I haven’t figured out what to do with it yet.
Not that I know for sure
but I’m pretty sure it doesn’t account for what down the play was on.
That would be an interesting measurement to try and figure out. I think the difference is in what a play is worth vs. how important was the play… Yes, the bomb doesn’t happen without the conversion. But without the bomb, the conversion is worthless.
Lot’s of variables to figure out the importance per play.
The perspective I am looking at is
that the bomb doesn’t happen without the conversion, but I disargee without the bomb the conversion is useless. Because there were 3 more tries to get 10 yards. So thats essentially the success rate. But what I was semi interested in, was more of a clutch explosive rating. We needed a good chunk of yards in that game, and were boom or bust on that drive. 4 yard run, 6 yard sack, incomplete pass, 24 yards on 4th and 14 and then 52 yard bomb.
I dont know how non-trival it is but it could give some insight. A plausible reasoning could be that teams with higher 3rdPPP tend to be in worse situations so they need more yards to get conversions. It may just be that teams with high 3rdPPP could be inversely related to Success rated, like I said I dont know.
The only reason I really brought this up is because of when you posted above
However, what contributed more to Maryland’s touchdownsand it got me to thinking that about the fact the touchdown isn’t always possible without the preceding events barring 1 play drives. Ie first downs penalties etc. Therefore the play that scores the touchdown has to reflect the preceding events depending on the preceding events. In the Maryland case, yes the TD’s were not at all possible without the bomb that got them there, but was the bomb on first down leaving 3 downs left?
It would seem that the larger down it is the more important the bomb would become. A bomb on first down isn’t as demeaning as a bomb on 3rd down because the result of the play from a bomb on first down is the same as before it. 3 more downs to get a defense off the field. i.e. it was 1st and 10 before the bomb and its 1st and 10 after the bomb the only difference is field position. Whereas a bomb on 3rd down results in a 1st down so you essentially had two wasted plays as a defense so you lose field position at the chance to get off the field barring a turnover. I hope you understand what I mean by that because I know its not necessarily worded so eloquently.
I was at
the Cincinnati v Miami (OH) game on top of the single game chart and it was a pretty breathtaking performance on offense. The difference in terms of athleticism was so, so stark. The Bearcats had 21 plays of 10 or more yards, and 5 plays of 40 or more, and that was just in the first half. The starters sat at the start of the third.

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