Lane Johnson and D.J. Fluker were selected high in the draft, but both have troubling flaws in pass protection according to Word of Muth.
26 Oct 2012
by Bill Connelly
I'm nothing if not habits-based. Now that projections have been phased out, the 2012 numbers are standing by themselves, and the opponent adjustments are at least somewhat viable (since everybody has played between six and eight games), it is once again time to revisit the concept of Adjusted Points and the story it can tell.
What are Adjusted Points? Each year I try to explain it well, and each year I find I didn't really do so. Here's what I originally said about it in 2010:
I have always loved the relatability of a lot of baseball stats. WAR (Wins Above Replacement) boils a complicated measure down to, basically, how many wins a player is worth. Measures like EqA (Equivalent Average) give you something more telling and accurate than, say, batting average. But since people know what a good or bad batting average is, they scale it to where it resembles batting average. Something like DIPS (Defense Independent Pitching Stats) takes figures more reflective of pitching quality and equates them to an ERA-type measure.
Clearly, FO readers have begun to figure out what good or bad DVOA, F/+, S&P+, etc., ratings look like, but the casual reader still might be a little thrown by it. As I was looking into ways to improve our F/+ performances against the spread, I began to wonder what S&P+ might look like in a different format. What would it tell us if we looked at a single-game S&P+ performance in terms of a point figure? This would give us an opponent-adjusted, tempo-adjusted (since S&P+ is a per-play measure) way to judge offenses, in a more recognizable form.
The idea is simple, really. Take a team's single-game performance in terms of Off. S&P+ and Def. S&P+ and boil it down to a score one might better understand, a number to which one can more easily relate. If you read Varsity Numbers regularly or pay reasonable attention to S&P+, then saying that Alabama's single-game S&P+ scores against Tennessee last Saturday were 133.7 on offense and 151.6 on defense might mean something to you. But saying that 133.7 Off. S&P+ equates to scoring about 40.9 points versus a perfectly average opponent, and that a 151.6 Def. S&P+ score is like allowing 15.7 points to a perfectly average opponent, makes the numbers more accessible by comparing them to the actual score.
In an era where so many teams run at mach speeds, adjusting for both pace and opponent becomes a necessity. It is easy to be wooed by the gaudy stats posted by offenses attempting 100 plays per game (and it can certainly be fun to watch), but if our goal is to truly figure out who is good and who is bad, these adjustments become a must. Take, for instance, West Virginia. The Mountaineers have dominated a good portion of the season's overall narrative, first for their scary offensive performances, then for their absolutely horrific defensive showing. Adj. Scores tell us a story similar to what actual scores tell us, but when you strip pace from the equation and you take into account the level of offenses and defenses West Virginia faces on a week-to-week basis, the extreme aspect of the narrative is removed a bit.
In recent weeks, our eyeballs have told us that West Virginia's offense has begun to press when faced with a) smarter defenses like Texas Tech and Kansas State and b) early deficits. The Adj. Score narrative backs that up but fills in another piece of the narrative, too: while the bottom has fallen out in the last two weeks, West Virginia has been getting progressively worse since the start of the season. Here is the Adj. Scoring Margin for each WVU game: plus-34.4, plus-18.6, plus-6.2, plus-9.5, plus-6.1, minus-4.2, and minus-15.0. The offense has gotten worse in all but one game, and the defense has been pretty poor since Week 3. The defense is indeed bad, but opponents have been slowly figuring out ways to slow down Dana Holgorsen's offense for a while.
In other words, it might be a pretty good time for a bye week in Morgantown.
There's one final note regarding Adj. Points and the story they tell, and I'll start with a quote from last year:
One concept I didn't explain very well the first time around is this: for every game that is played, it is not guaranteed that one team will end up with an Adj. Win and one with an Adj. Loss. Both teams' performances are being compared to the opponent's season averages, so if both teams play well, or if both teams play particularly poorly, then there could be two Adj. Wins in a given game or two Adj. Losses.
I once again used the Adj. Scores concept in my 2012 team previews at SB Nation, mostly to look at full-season trends or the impact of a given injury. But I still got quite a few comments and questions regarding the fact that, in a given game, both Team A and Team B got an Adjusted Win or Loss, and how that must be a mistake. It is not. The idea behind Adj. Score is that, in every given week, we are all playing the same opponent. We compare Team A's performance against Team B to the expected performance of teams playing Team B, and we give them a score compared to this baseline. If both teams play particularly well or poorly, they both get an Adjusted Win or Loss.
Example 1. Michigan's 12-10 win over Michigan State on Saturday produced the following Adj. Scores:
Michigan 30.2, Average Opponent 28.4 (an Adj. Win)
Michigan State 27.9, Average Opponent 13.0 (an Adj. Win)
In averaging 5.3 yards per play, Michigan's offense played reasonably well against a strong Michigan State defense (compared to how teams typically move the ball against the Spartans), even if the score remained low because the Wolverines were settling for field goals. Meanwhile, the Michigan defense played about average against a pretty poor Michigan State offense. On the flipside, Michigan State's offense performed about average versus a solid Michigan defense and held the Michigan offense far more in-check than the normal defense does. Both teams played well enough to beat an average opponent, but only one team was actually allowed to win the game.
Example 2. Wake Forest's 16-10 win over Virginia on Saturday produced the following Adj. Scores:
Average Opponent 20.2, Wake Forest 15.1 (an Adj. Loss)
Average Opponent 20.8, Virginia 15.1 (an Adj. Loss)
Both Wake Forest and Virginia produced solid defensive performances, but for both teams, the negatives on offense outweighed the positives on defense.
Below is an enormous table showing you all of the Adj. Scoring averages for the 124 FBS teams. You will see per-game averages for Adj. Points (offense and defense) and scoring margin, along with a team's Adjusted and actual records. I am also including a small visit from Uncle Mo. The final three columns show you each team's weighted Adj. Scoring averages (where more recent games are given more weight), ranking, and "Momentum," which is in this case defined simply by subtracting the full-season averages from the weighted averages. With only six-to-eight data points, no team's weighted averages stray TOO far from full-season averages, but you can certainly see differences in teams like Wisconsin, Kansas State and Boise State (all improving), along with teams like UConn, West Virginia, Florida State and UCLA (all regressing).
| Team | Adj. Off. Pts |
Rk | Adj. Def. Pts |
Rk | Adj. Margin |
Rk | Adj. Record |
Actual Record |
Wtd. Margin |
Rk | Momentum |
| Alabama | 42.0 | 1 | 0.8 | 1 | +41.2 | 1 | 7-0 | 7-0 | +39.7 | 1 | -1.5 |
| Florida State | 40.0 | 5 | 10.5 | 3 | +29.5 | 2 | 8-0 | 7-1 | +27.4 | 2 | -2.1 |
| Florida | 34.9 | 24 | 10.4 | 2 | +24.5 | 3 | 7-0 | 7-0 | +25.6 | 3 | +1.1 |
| Oklahoma | 38.1 | 13 | 15.0 | 5 | +23.1 | 4 | 6-0 | 5-1 | +23.5 | 4 | +0.4 |
| Texas Tech | 39.0 | 9 | 17.0 | 8 | +22.0 | 5 | 7-0 | 6-1 | +21.6 | 5 | -0.4 |
| Oregon | 40.2 | 4 | 22.2 | 23 | +18.1 | 6 | 7-0 | 7-0 | +18.0 | 7 | -0.1 |
| Notre Dame | 35.5 | 21 | 19.0 | 12 | +16.5 | 7 | 7-0 | 7-0 | +17.0 | 8 | +0.6 |
| Kansas State | 41.3 | 3 | 24.9 | 39 | +16.3 | 8 | 6-1 | 7-0 | +18.1 | 6 | +1.8 |
| Oklahoma State | 39.2 | 7 | 24.2 | 33 | +15.0 | 9 | 5-1 | 4-2 | +13.8 | 13 | -1.2 |
| Nebraska | 38.1 | 14 | 23.2 | 26 | +14.9 | 10 | 5-2 | 5-2 | +14.8 | 9 | -0.1 |
| Stanford | 29.8 | 55 | 15.4 | 6 | +14.4 | 11 | 6-1 | 5-2 | +14.8 | 10 | +0.4 |
| Michigan | 36.2 | 18 | 21.9 | 22 | +14.3 | 12 | 7-0 | 5-2 | +14.6 | 11 | +0.3 |
| North Carolina | 33.5 | 31 | 19.4 | 14 | +14.1 | 13 | 5-3 | 5-3 | +12.9 | 15 | -1.2 |
| Texas A&M | 38.2 | 12 | 24.1 | 31 | +14.1 | 14 | 7-0 | 5-2 | +13.9 | 12 | -0.2 |
| LSU | 31.0 | 47 | 17.2 | 9 | +13.8 | 15 | 7-1 | 7-1 | +12.3 | 18 | -1.5 |
| BYU | 29.4 | 58 | 15.8 | 7 | +13.6 | 16 | 6-2 | 4-4 | +12.6 | 16 | -0.9 |
| Oregon State | 33.8 | 28 | 20.8 | 19 | +13.0 | 17 | 6-0 | 6-0 | +13.3 | 14 | +0.3 |
| Ohio State | 38.0 | 15 | 25.1 | 40 | +12.9 | 18 | 7-1 | 8-0 | +12.5 | 17 | -0.4 |
| South Carolina | 32.2 | 36 | 19.8 | 15 | +12.4 | 19 | 7-1 | 6-2 | +11.6 | 19 | -0.8 |
| Utah State | 32.2 | 37 | 20.4 | 17 | +11.8 | 20 | 7-1 | 6-2 | +11.4 | 21 | -0.4 |
| Team | Adj. Off. Pts |
Rk | Adj. Def. Pts |
Rk | Adj. Margin |
Rk | Adj. Record |
Actual Record |
Wtd. Margin |
Rk | Momentum |
| Arizona | 37.7 | 16 | 26.0 | 44 | +11.6 | 21 | 6-1 | 4-3 | +11.4 | 20 | -0.2 |
| Arizona State | 34.6 | 26 | 23.3 | 27 | +11.4 | 22 | 6-1 | 5-2 | +10.4 | 22 | -1.0 |
| Michigan State | 23.6 | 105 | 12.4 | 4 | +11.2 | 23 | 6-2 | 4-4 | +10.1 | 23 | -1.1 |
| Texas | 37.3 | 17 | 26.2 | 45 | +11.1 | 24 | 5-2 | 5-2 | +9.6 | 29 | -1.6 |
| Tennessee | 38.6 | 11 | 28.4 | 65 | +10.2 | 25 | 6-1 | 3-4 | +10.0 | 24 | -0.2 |
| Georgia | 39.5 | 6 | 29.4 | 72 | +10.1 | 26 | 4-3 | 6-1 | +9.2 | 31 | -0.9 |
| Fresno State | 30.5 | 52 | 20.5 | 18 | +10.1 | 27 | 6-2 | 5-3 | +9.6 | 28 | -0.5 |
| Virginia Tech | 30.0 | 53 | 20.0 | 16 | +10.0 | 28 | 5-3 | 4-4 | +9.7 | 27 | -0.3 |
| USC | 36.2 | 19 | 26.7 | 49 | +9.5 | 29 | 5-2 | 6-1 | +9.9 | 25 | +0.4 |
| Ole Miss | 34.8 | 25 | 26.2 | 46 | +8.6 | 30 | 6-1 | 4-3 | +9.0 | 33 | +0.3 |
| TCU | 29.3 | 59 | 21.2 | 21 | +8.1 | 31 | 5-2 | 5-2 | +7.8 | 38 | -0.4 |
| Clemson | 36.1 | 20 | 28.0 | 63 | +8.0 | 32 | 6-1 | 6-1 | +8.4 | 35 | +0.4 |
| West Virginia | 39.1 | 8 | 31.2 | 90 | +7.9 | 33 | 5-2 | 5-2 | +5.3 | 42 | -2.6 |
| Wisconsin | 32.7 | 34 | 24.8 | 37 | +7.9 | 34 | 7-1 | 6-2 | +9.9 | 26 | +2.0 |
| Baylor | 41.6 | 2 | 34.2 | 115 | +7.5 | 35 | 5-1 | 3-3 | +6.8 | 40 | -0.7 |
| Syracuse | 35.0 | 23 | 27.6 | 59 | +7.4 | 36 | 6-1 | 3-4 | +8.7 | 34 | +1.2 |
| Boise State | 28.3 | 68 | 20.9 | 20 | +7.4 | 37 | 5-2 | 6-1 | +9.1 | 32 | +1.7 |
| San Jose State | 33.5 | 30 | 26.4 | 48 | +7.1 | 38 | 7-0 | 5-2 | +7.7 | 39 | +0.7 |
| Penn State | 31.6 | 43 | 24.8 | 36 | +6.8 | 39 | 5-2 | 5-2 | +8.0 | 36 | +1.2 |
| Mississippi State | 32.0 | 41 | 25.3 | 41 | +6.7 | 40 | 3-4 | 7-0 | +7.8 | 37 | +1.1 |
| Team | Adj. Off. Pts |
Rk | Adj. Def. Pts |
Rk | Adj. Margin |
Rk | Adj. Record |
Actual Record |
Wtd. Margin |
Rk | Momentum |
| Iowa State | 25.4 | 89 | 19.2 | 13 | +6.1 | 41 | 5-2 | 4-3 | +5.3 | 43 | -0.8 |
| Bowling Green | 24.0 | 103 | 17.9 | 11 | +6.1 | 42 | 5-3 | 5-3 | +9.5 | 30 | +3.5 |
| UCLA | 31.6 | 44 | 25.9 | 43 | +5.7 | 43 | 4-3 | 5-2 | +3.6 | 48 | -2.1 |
| Louisiana Tech | 38.9 | 10 | 33.4 | 111 | +5.5 | 44 | 6-1 | 6-1 | +5.8 | 41 | +0.2 |
| Georgia Tech | 35.3 | 22 | 30.3 | 82 | +5.1 | 45 | 3-4 | 3-4 | +4.1 | 47 | -1.0 |
| Arkansas State | 33.6 | 29 | 29.0 | 69 | +4.7 | 46 | 5-2 | 4-3 | +4.7 | 44 | +0.0 |
| South Florida | 31.8 | 42 | 27.4 | 56 | +4.5 | 47 | 4-3 | 2-5 | +3.4 | 50 | -1.0 |
| Connecticut | 21.3 | 114 | 17.7 | 10 | +3.5 | 48 | 3-5 | 3-5 | +0.7 | 64 | -2.8 |
| Vanderbilt | 26.0 | 81 | 22.8 | 24 | +3.1 | 49 | 2-5 | 3-4 | +2.5 | 52 | -0.6 |
| Arkansas | 33.4 | 32 | 30.5 | 85 | +2.9 | 50 | 4-3 | 3-4 | +4.3 | 46 | +1.4 |
| Pittsburgh | 30.9 | 49 | 28.2 | 64 | +2.7 | 51 | 4-3 | 3-4 | +2.5 | 55 | -0.2 |
| Northern Illinois | 28.9 | 65 | 26.3 | 47 | +2.6 | 52 | 5-3 | 7-1 | +4.6 | 45 | +2.0 |
| San Diego State | 32.5 | 35 | 30.1 | 80 | +2.3 | 53 | 6-2 | 5-3 | +2.5 | 53 | +0.2 |
| Western Kentucky | 29.5 | 57 | 27.2 | 52 | +2.3 | 54 | 4-3 | 5-2 | +2.5 | 54 | +0.2 |
| Troy | 30.8 | 50 | 28.5 | 66 | +2.3 | 55 | 5-2 | 4-3 | +1.6 | 62 | -0.7 |
| Washington | 26.3 | 78 | 24.1 | 30 | +2.2 | 56 | 5-2 | 3-4 | +2.1 | 56 | -0.1 |
| Rutgers | 25.2 | 92 | 23.0 | 25 | +2.2 | 57 | 3-4 | 7-0 | +3.6 | 49 | +1.4 |
| Northwestern | 29.7 | 56 | 27.7 | 60 | +2.0 | 58 | 6-2 | 6-2 | +1.7 | 60 | -0.3 |
| California | 29.1 | 63 | 27.0 | 50 | +2.0 | 59 | 5-3 | 3-5 | +1.8 | 59 | -0.2 |
| N.C. State | 29.1 | 62 | 27.3 | 53 | +1.8 | 60 | 3-4 | 5-2 | +2.7 | 51 | +0.9 |
| Team | Adj. Off. Pts |
Rk | Adj. Def. Pts |
Rk | Adj. Margin |
Rk | Adj. Record |
Actual Record |
Wtd. Margin |
Rk | Momentum |
| Nevada | 33.9 | 27 | 32.1 | 98 | +1.8 | 61 | 5-3 | 6-2 | +2.0 | 58 | +0.1 |
| Central Florida | 31.0 | 48 | 29.4 | 74 | +1.6 | 62 | 3-4 | 5-2 | +1.0 | 63 | -0.6 |
| Louisville | 33.4 | 33 | 32.3 | 100 | +1.2 | 63 | 3-4 | 7-0 | +2.1 | 57 | +0.9 |
| Purdue | 25.4 | 88 | 24.5 | 34 | +0.9 | 64 | 4-3 | 3-4 | -0.8 | 70 | -1.6 |
| UL-Monroe | 28.5 | 67 | 27.8 | 61 | +0.7 | 65 | 2-5 | 5-2 | +1.7 | 61 | +1.0 |
| UL-Lafayette | 27.6 | 71 | 27.4 | 57 | +0.2 | 66 | 4-2 | 4-2 | 0.0 | 68 | -0.2 |
| Iowa | 24.7 | 96 | 24.6 | 35 | +0.1 | 67 | 2-5 | 4-3 | -1.1 | 73 | -1.2 |
| Toledo | 32.0 | 40 | 32.0 | 96 | +0.0 | 68 | 3-5 | 7-1 | +0.5 | 65 | +0.5 |
| Cincinnati | 28.9 | 66 | 29.4 | 75 | -0.6 | 69 | 4-2 | 5-1 | -0.8 | 71 | -0.2 |
| Indiana | 32.1 | 39 | 32.9 | 108 | -0.8 | 70 | 2-5 | 2-5 | -0.2 | 69 | +0.6 |
| Miami | 30.0 | 54 | 31.0 | 89 | -1.0 | 71 | 4-4 | 4-4 | +0.0 | 67 | +1.1 |
| Tulsa | 27.7 | 70 | 28.9 | 68 | -1.2 | 72 | 3-5 | 7-1 | -1.3 | 75 | -0.1 |
| Minnesota | 26.1 | 80 | 27.3 | 55 | -1.3 | 73 | 4-3 | 4-3 | -2.5 | 80 | -1.2 |
| Missouri | 24.2 | 102 | 25.5 | 42 | -1.3 | 74 | 3-4 | 3-4 | -2.6 | 81 | -1.3 |
| Ball State | 31.0 | 46 | 32.4 | 102 | -1.4 | 75 | 4-4 | 5-3 | -1.0 | 72 | +0.3 |
| Marshall | 31.2 | 45 | 32.7 | 105 | -1.5 | 76 | 4-3 | 3-4 | +0.2 | 66 | +1.7 |
| Utah | 23.1 | 107 | 24.9 | 38 | -1.7 | 77 | 2-5 | 2-5 | -2.9 | 82 | -1.2 |
| Kansas | 26.9 | 75 | 28.7 | 67 | -1.9 | 78 | 2-5 | 1-6 | -1.6 | 77 | +0.3 |
| UAB | 27.3 | 73 | 29.6 | 77 | -2.3 | 79 | 2-5 | 1-6 | -1.2 | 74 | +1.0 |
| Virginia | 24.9 | 93 | 27.3 | 54 | -2.4 | 80 | 3-5 | 2-6 | -2.0 | 78 | +0.4 |
| Team | Adj. Off. Pts |
Rk | Adj. Def. Pts |
Rk | Adj. Margin |
Rk | Adj. Record |
Actual Record |
Wtd. Margin |
Rk | Momentum |
| Duke | 29.0 | 64 | 31.5 | 93 | -2.4 | 81 | 3-5 | 6-2 | -1.5 | 76 | +0.9 |
| Illinois | 21.5 | 112 | 24.0 | 29 | -2.4 | 82 | 2-5 | 2-5 | -4.4 | 91 | -2.0 |
| Wake Forest | 24.4 | 100 | 27.2 | 51 | -2.8 | 83 | 3-4 | 4-3 | -3.0 | 83 | -0.2 |
| North Texas | 26.8 | 76 | 29.8 | 78 | -2.9 | 84 | 3-4 | 3-4 | -2.4 | 79 | +0.5 |
| Ohio | 27.1 | 74 | 30.2 | 81 | -3.1 | 85 | 2-5 | 7-0 | -4.4 | 92 | -1.3 |
| Florida International | 27.8 | 69 | 30.9 | 87 | -3.2 | 86 | 2-6 | 1-7 | -3.1 | 85 | +0.1 |
| Houston | 25.8 | 82 | 29.4 | 76 | -3.6 | 87 | 2-5 | 3-4 | -3.1 | 84 | +0.5 |
| SMU | 20.1 | 116 | 24.0 | 28 | -3.9 | 88 | 3-4 | 3-4 | -3.3 | 86 | +0.7 |
| Air Force | 32.2 | 38 | 36.5 | 122 | -4.4 | 89 | 1-6 | 4-3 | -4.0 | 89 | +0.4 |
| Boston College | 24.6 | 97 | 29.1 | 70 | -4.5 | 90 | 1-6 | 1-6 | -4.7 | 94 | -0.3 |
| East Carolina | 25.6 | 84 | 30.3 | 83 | -4.7 | 91 | 3-5 | 5-3 | -3.6 | 87 | +1.1 |
| Texas State | 26.2 | 79 | 31.0 | 88 | -4.7 | 92 | 2-4 | 3-3 | -5.3 | 96 | -0.5 |
| Middle Tennessee | 30.5 | 51 | 35.4 | 118 | -4.9 | 93 | 3-4 | 5-2 | -4.8 | 95 | +0.1 |
| Kent State | 24.5 | 99 | 29.4 | 73 | -4.9 | 94 | 2-5 | 6-1 | -3.8 | 88 | +1.1 |
| Western Michigan | 26.5 | 77 | 31.5 | 94 | -5.0 | 95 | 1-7 | 3-5 | -4.5 | 93 | +0.5 |
| New Mexico | 27.4 | 72 | 32.7 | 107 | -5.4 | 96 | 2-6 | 4-4 | -4.0 | 90 | +1.4 |
| Auburn | 22.2 | 110 | 28.0 | 62 | -5.8 | 97 | 2-5 | 1-6 | -6.1 | 99 | -0.3 |
| Southern Miss | 25.4 | 87 | 31.3 | 91 | -5.9 | 98 | 1-6 | 0-7 | -5.9 | 98 | 0.0 |
| Maryland | 18.2 | 120 | 24.2 | 32 | -6.1 | 99 | 1-6 | 4-3 | -5.6 | 97 | +0.5 |
| Kentucky | 25.4 | 86 | 31.5 | 95 | -6.1 | 100 | 2-6 | 1-7 | -7.4 | 107 | -1.3 |
| Team | Adj. Off. Pts |
Rk | Adj. Def. Pts |
Rk | Adj. Margin |
Rk | Adj. Record |
Actual Record |
Wtd. Margin |
Rk | Momentum |
| Buffalo | 24.9 | 94 | 31.3 | 92 | -6.4 | 101 | 1-6 | 1-6 | -6.6 | 101 | -0.1 |
| Central Michigan | 29.1 | 61 | 36.0 | 121 | -6.9 | 102 | 1-6 | 2-5 | -6.4 | 100 | +0.5 |
| Wyoming | 23.3 | 106 | 30.4 | 84 | -7.1 | 103 | 1-6 | 1-6 | -7.0 | 103 | +0.1 |
| Navy | 25.7 | 83 | 32.9 | 109 | -7.3 | 104 | 0-7 | 4-3 | -6.9 | 102 | +0.4 |
| Akron | 24.7 | 95 | 32.0 | 97 | -7.3 | 105 | 2-6 | 1-7 | -7.0 | 104 | +0.3 |
| Temple | 25.3 | 91 | 32.7 | 106 | -7.5 | 106 | 1-5 | 3-3 | -7.4 | 105 | +0.1 |
| Rice | 24.3 | 101 | 32.6 | 103 | -8.2 | 107 | 1-7 | 2-6 | -7.4 | 106 | +0.8 |
| South Alabama | 19.1 | 119 | 27.5 | 58 | -8.3 | 108 | 1-6 | 2-5 | -9.3 | 112 | -1.0 |
| Army | 29.1 | 60 | 37.7 | 124 | -8.6 | 109 | 1-6 | 1-6 | -8.7 | 110 | -0.1 |
| UTSA | 25.3 | 90 | 34.0 | 113 | -8.6 | 110 | 1-4 | 3-2 | -8.7 | 109 | 0.0 |
| UNLV | 23.6 | 104 | 32.4 | 101 | -8.7 | 111 | 1-7 | 1-7 | -8.4 | 108 | +0.3 |
| Colorado State | 21.8 | 111 | 30.9 | 86 | -9.1 | 112 | 1-6 | 1-6 | -8.9 | 111 | +0.2 |
| UTEP | 22.6 | 109 | 32.6 | 104 | -10.0 | 113 | 1-7 | 2-6 | -10.5 | 113 | -0.5 |
| New Mexico State | 24.5 | 98 | 35.3 | 117 | -10.7 | 114 | 1-6 | 1-6 | -10.9 | 114 | -0.2 |
| Memphis | 18.1 | 121 | 29.3 | 71 | -11.2 | 115 | 1-6 | 1-6 | -10.9 | 115 | +0.3 |
| Miami (Ohio) | 25.4 | 85 | 37.1 | 123 | -11.7 | 116 | 0-7 | 3-4 | -11.4 | 117 | +0.3 |
| Hawaii | 17.9 | 122 | 29.9 | 79 | -12.0 | 117 | 1-5 | 1-5 | -12.8 | 120 | -0.8 |
| Florida Atlantic | 19.9 | 117 | 32.2 | 99 | -12.3 | 118 | 0-7 | 1-6 | -11.4 | 116 | +0.9 |
| Washington State | 20.5 | 115 | 33.1 | 110 | -12.6 | 119 | 1-6 | 2-5 | -12.4 | 119 | +0.2 |
| Eastern Michigan | 22.7 | 108 | 35.4 | 119 | -12.7 | 120 | 1-6 | 1-6 | -11.7 | 118 | +1.1 |
| Team | Adj. Off. Pts |
Rk | Adj. Def. Pts |
Rk | Adj. Margin |
Rk | Adj. Record |
Actual Record |
Wtd. Margin |
Rk | Momentum |
| Colorado | 21.4 | 113 | 35.8 | 120 | -14.5 | 121 | 0-7 | 1-6 | -14.6 | 121 | -0.1 |
| Idaho | 19.2 | 118 | 34.2 | 116 | -15.1 | 122 | 1-7 | 1-7 | -15.4 | 122 | -0.3 |
| Tulane | 16.5 | 123 | 33.8 | 112 | -17.4 | 123 | 0-7 | 1-6 | -16.7 | 123 | +0.7 |
| Massachusetts | 15.0 | 124 | 34.0 | 114 | -19.0 | 124 | 1-6 | 0-7 | -18.4 | 124 | +0.6 |
8 comments, Last at 30 Oct 2012, 8:50pm by EaglesFan
Comments
Re: VN: Adjusted Points Revisited
Under the adjusted scores, Oregon is undefeated, Oregon State is undefeated, and Arizona is 6-1. Given that Arizona played both Oregon and Oregon State, how does this happen?
Re: VN: Adjusted Points Revisited
I once again used the Adj. Scores concept in my 2012 team previews at SB Nation, mostly to look at full-season trends or the impact of a given injury. But I still got quite a few comments and questions regarding the fact that, in a given game, both Team A and Team B got an Adjusted Win or Loss, and how that must be a mistake. It is not. The idea behind Adj. Score is that, in every given week, we are all playing the same opponent. We compare Team A's performance against Team B to the expected performance of teams playing Team B, and we give them a score compared to this baseline. If both teams play particularly well or poorly, they both get an Adjusted Win or Loss.
Re: VN: Adjusted Points Revisited
In real life games, the results must produce one team getting one win and one team getting one loss; there is not other possible win-loss distribution.
This metric is designed to see how teams would have done against an AVERAGE team in any given game. As explained in the article, the record listed in the table is how each team would have done (Win or Loss) against an AVERAGE team that week, NOT against the team they actually played.
Therefore, it is possible, in any given game, that both teams would have lost against and average team, or that both teams would have won against an average team. But, because they actually played each other in real life that week, the real life game had to result in one win for one team and one loss for the other team.
For example, if Alabama and Oregon played, we would expect both teams to play at a level where they would beat an average team even though only one can get a win in the actual standings.
I appreciate this effort. I have tried to get the college metrics here into a real world score before, and this is a good shot at it.
Re: VN: Adjusted Points Revisited
Speaking of Oregon - how is it that their adjusted defensive points are so high? I would have thought that they would be significantly lower given how good they are in S+P currently; compare to Alabama's, which is .1. How was that figured?
Re: VN: Adjusted Points Revisited
I can't remember when/where I talked about this, but I ended up making the decision to use FULL-GAME S&P+ (including garbage time) for Adj. Points. With the number of garbage-time points Oregon has allowed, that would explain most of the difference.
Re: VN: Adjusted Points Revisited
Heh. Yeah, that would do it this season; I think Oregon's given up something like 90 points in garbage time this year. Natural when garbage time starts in the second quarter, but yikes. I wonder what Oregon's differential would look like without that adjustment.
Re: Varsity Numbers: Adjusted Points Revisited
Great work Bill. Will these figures be posted each week? Hopefully yes.
Thanks.
Re: Varsity Numbers: Adjusted Points Revisited
I think I remember seeing this a while back, but if you look at the S&P+ of two opponenets, how would that equate to an expected point differential? For example, the S&P+ of Ohio is 170.5 and Eastern Michigan is 160.4 So the delta is 10.4. Do you divide by something like 3 (plus home field adv.) to get an anticipated spread? How about FEI and F/+?
Post new comment