• 2013 NCAA Football Standings

    Updated September 23, 2013

     
    Rank Teams Record AP
    1 OREGON 3-0 2
    2 CLEMSON 3-0 3
    3 MISSOURI 3-0 35
    4 GEORGIA TECH 3-0 27
    5 GEORGIA 2-1 9
    6 WASHINGTON 3-0 16
    7 FLORIDA STATE 3-0 8
    8 ALABAMA 3-0 1
    9 FLORIDA 2-1 20
    10 OLE MISS 3-0 21
    11 UTAH 3-1 NR
    12 SO CAROLINA 2-1 12
    13 ARIZONA 3-0 32
    14 NORTHWESTERN 4-0 17
    15 UCLA 3-0 13
    16 NAVY 2-0 36
    17 MIAMI-FLORIDA 3-0 15
    18 USC 3-1 NR
    19 COLORADO 2-0 NR
    20 MARYLAND 4-0 28
    21 OREGON STATE 3-1 NR
    22 LOUISVILLE 4-0 7
    23 OHIO STATE 4-0 4
    24 STANFORD 3-0 5
    25 MINNESOTA 4-0 NR

    Full Rankings

    Cheers.

  • Back in March, several dozen websites, written by either professionals, bloggers, or, in some cases, professional bloggers, came out with predicted MLB win totals.

    A predicted win total represents the number of wins this website or individual predicted for each major league team. These numbers can be easily compared to the Las Vegas line for each team (I used the one set by the Hilton) to determine if these predictions are worth our time, and, in some cases, our money.

    Here are the sites I used:

    O/U: The Hilton’s over/under for each team

    BP: Baseball prospectus

    TR: Team Rankings (caveat on the linked page: the site stresses their MLB predictions are a work in progress)

    DP: Davenport

    Zips: ZIPS projection system (espn.com)

    PM: Prediction Machine

    TB: Trading Bases, an avid blogger and book-writer

    Here are my metrics

    MSE: Averaged squared error between the prediction and the win totals*

    MAE: Averaged absolute error between the prediction and the win totals*

    Corr: Correlation between the predicted and the win totals*

    *For win totals, I’m use each team’s estimated win totals from here (I’m too excited to wait until the end of the season!)

    Results

    O/U BP TR DP Zips PM TB
    MSE 68.59 62.50 84.56 70.47 75.37 79.76 61.04
    MAE 6.65 6.75 7.73 6.75 7.01 7.22 6.53
    Corr 0.68 0.71 0.59 0.67 0.66 0.61 0.72

    Baseball prospectus appears to offer the only clear advantage over the Las Vegas line, at least among these predictions, as judged by a higher correlation and a lower MSE between observed and predicted values. As for team rankings & prediction machine, their results were both disappointingly bad. (Note: Trading Bases came into the picture after the initial post, and also appears to be a clear winner). 

    TeamRankings does offer this disclaimer about their projections:

    A word of caution — while our preseason projections for other sports have proven to be useful indicators of where values may lie among the various full season futures bets, we’re not nearly as confident in our MLB preseason ratings. We’re publishing these in the interest of full disclosure, so that you know what the initial rating in our projection system was for each team. We’re most definitely not recommending that you use these ratings and forecasts to go place preseason bets.

    Here’s the table of predicted wins for each site.

    Team O/U BP TR DP Zips PM TB Simulated Wins
    Diamondbacks 82.5 85 83 81 85 76.8 80 82.5
    Braves 86.5 83 85 85 91 86.6 82 95.8
    Orioles 78.5 75 81 75 82 79.2 76 86.2
    Red Sox 82.5 85 79 85 84 80.5 83 97.2
    Cubs 72.5 77 73 76 74 75.8 69 67.5
    White Sox 80.5 76 83 76 80 85 78 64.2
    Reds 90.5 92 84 86 90 91.1 84 92
    Indians 78.5 80 74 79 80 76.8 85 87.9
    Rockies 71.5 71 75 74 70 77.5 70 72.9
    Tigers 92.5 91 86 95 91 89.7 95 94.5
    Marlins 63.5 67 75 65 65 65.3 64 60.1
    Astros 58.5 63 67 72 57 62.5 66 54.9
    Royals 78.5 76 78 80 79 75 77 85.1
    Angels 91.5 91 86 91 93 93.3 88 79
    Dodgers 91.5 91 83 88 90 90.6 91 92.5
    Brewers 81.5 78 83 78 81 77.6 78 73.3
    Twins 68.5 65 74 69 66 70.9 66 69.6
    Mets 75.5 80 78 76 66 76.8 74 73
    Yankees 86.5 91 90 86 83 84.7 87 84.9
    Athletics 84.5 83 86 84 78 85.3 85 94.6
    Phillies 85.5 81 84 81 82 81 86 75.7
    Pirates 77.5 80 77 81 77 74.8 79 92.1
    Padres 73.5 76 78 76 73 72.7 81 76.1
    Giants 87.5 85 85 92 87 85.1 88 75.2
    Cardinals 82.5 85 86 83 85 85.1 90 94.6
    Rays 86.5 87 88 86 88 89.5 93 89.2
    Rangers 86.5 89 88 85 91 86.8 85 88.1
    Blue Jays 88.5 84 78 86 94 87.5 82 73.8
    Nationals 91.5 87 86 85 94 92.5 90 86.3
    Mariners 77.5 78 79 73 74 74 78 71.4
  • ESPN’s Jim Caple just posted an article about the win statistic. This seems to be a response to Brian Kenny’s all-out assault on the win. Kenny is attacking the old stat as a grossly misleading, if not useless, statistic in measuring how good a pitcher is. I don’t really care if Kenny’s “kill the win” campaign gains steam or not; frankly, I don’t really care about wins (outside of my fantasy leagues where they count). I do think it’s outdated and doesn’t tell us much of anything. Matt Harvey has nine measly wins while having (pre-injury, obviously) a rookie season for the ages. Harvey still ranks second in pitcher WAR on Fangraphs (as of September 18- Kershaw, at least, will eclipse him before season’s end). Of course, it’s not Harvey’s fault he plays for the Mets (I suppose he could have refused to sign, like Elway and Baltimore or Cushman and Denver) but poor Harvey was enjoying the 13th lowest run support of all NL starters.

    Caple admits to some shortcomings, but comes to the defense of the win:

    Perhaps stat-heads would appreciate the win more if it was something else, though, something much more complicated and mathematically challenging. Maybe they would like it more if it included complex calculations that account for run support, adjusted ERA, advanced fielding analytics, WAR, stadium factors and humidity and was called tWIN.

    I do love the idea that the win is simple and other sabermetric stats are, by definition, not. Caple talks about the “uncomplicated” win in an article that also discusses how on September 13, Cleveland starter Danny Salazar struck out 9 in 3.2 innings, but couldn’t get the win, because he didn’t go the required five innings. He talked about Drew Smyly vulturing Max Scherzer’s 20th win, after Smyly blew the lead. The rules on how wins are awards are full of inane loophools and requirements. Caple doesn’t even mention my favorite part of the win rule, which I’ll quote right out of the official MLB rules:

    Rule 10.17(b) Comment: It is the intent of Rule 10.17(b) that a relief pitcher pitch at least one complete inning or pitch when a crucial out is made, within the context of the game (including the score), in order to be credited as the winning pitcher. If the first relief pitcher pitches effectively, the official scorer should not presumptively credit that pitcher with the win, because the rule requires that the win be credited to the pitcher who was the most effective, and a subsequent relief pitcher may have been most effective. The official scorer, in determining which relief pitcher was the most effective, should consider the number of runs, earned runs and base runners given up by each relief pitcher and the context of the game at the time of each relief pitcher’s appearance. If two or more relief pitchers were similarly effective, the official scorer should give the presumption to the earlier pitcher as the winning pitcher. [emphasis added]

    The win isn’t a simple statistic just because it doesn’t have a mathematical formula. Like the RBI, there’s so many things that the player collecting it doesn’t control. That alone is why its value is so limited.

    Caple boils down his argument to this with this:

    Could the win be better? Sure. But one of the reasons I like the win is its simplicity. Despite its clear limitations, the win is a long-established and fun statistic that quickly tells us something about a pitcher — how many bad pitchers win 18 games in a season or 200 games in a career? — though by no means everything. Nobody is saying the win is the ultimate arbiter of anything for a pitcher. It’s just one of many stats for your consideration.

    As I’ve already said, the win is not simple, and Caple makes the point himself. And he’s right, it’s one of many stats for you consideration, like paying $3 for a tin of Pringles on your next US Air flight is a food option; it’s not necessarily the best option for you to take.

    As for players who accumulate big single season win totals or lots of wins over a career- does this mean much? In the days of complete games, when pitchers would rarely be lifted, the win meant something though still less than it seems lots of folks want it to. These days, with increased specialization and pitch counts and so on, it means even less. Christy Mathewson, to pick a random old-timey pitcher with longevity, averaged 8.67 innings per start for his ENTIRE 552-start, 17-year-long career. Mike Mussina is the closest modern starter in terms of games started to Mathewson, as Moose started 536 games. For his career, Mussina averaged 6.67 innings per start. Mathewson would need one out from a reliever, but he still needed the run support. Moose needed two innings and an out plus run support. To turn this a different way, Curt Schilling and Mike Mussina were both terrific pitchers in a big offensive era. Both were regular starters from 1992 until 2007. Schilling started 569 games to Moose’s 536, but Moose threw almost exactly 300 more innings (Schilling averaged 5.7 innings per start.) Schilling ended up with 54 fewer wins. Why? Mussina played for the generally good 90s Orioles while Schilling was pitching for the generally bad 90s Phillies. Similar service time, huge difference in win totals. Incidentally, Mussina is at 83.0 in rWAR and 82.3 in fWAR, while Schilling is 79.9 and 83.5. What seems like the better comparison? Wins, where Schilling is only 80% the pitcher Mussina was or WAR where they were equally good?

    As for the specific win-totals Caple mentions, to counter that point I do need some fancy sabermetric, context-controlled stats, specifically FIP- and ERA- (each stat takes into account park factors and the league average numbers and compares them to other pitchers of that specific era;  100 is average, and the lower the number, the better. Someone who has an FIP- of 80 is 20% better than their peers) Lew Burdette was a solid pitcher from 1950 to 1967, mostly for the Braves. He collected 203 wins. He had a career ERA- of 101 and a career FIP- 103, both slightly below average. Denny McClain in 1966 won 20 games, and had an ERA 13% worse than the AL average and a FIP 23% worse. It’s actually not hard to find other examples of pitchers who were average or worse and managed to still win 18 or more games (here’s the custom search) but I suppose I can be discounted because I used ERA- and FIP-. Are any of these pitchers bad? No, none of them were Jose Lima for the Royals bad (incidentally, Lima had a 21 win season for the Astros in 1999. He was pretty good that year. I’m pretty sure there were a dozen or two pitchers in 1999 that weren’t named Jose Lima you’d have preferred on your team.)

    I understand a desire for a simple number that can be understood quickly and tells us who was a good pitcher and who wasn’t. What escapes my understanding is this luddite position that Caple and others like him take, where they run towards this an archaic stat. I suppose there’s a bit of “it’s always been there.” But it strikes me a bit like someone in 1920 saying “we can’t get rid of the guys making horseshoes.” Horseshoes might be interesting, and occasionally might be useful, but they’re not longer a critical part of our world.

    See more from this Tim guy at his blog or at Saturday Morning Deathgrip. 

  • statsbylopez's avatarStatsbyLopez

    Every Monday, Ph.D. students in the public health program at Brown gather to eat pizza, rearrange some unappetizing caesar salad around on our plates, and discuss a recent manuscript in different fields in an entertaining hour known as JournalClub. 

    Today’s article of choice was written in American Journal of Health Promotion, linked here, which promoted the idea that short bouts of moderate to vigorous exercise each day were successful in reductions of BMI. The article was titled “Moderate to Vigorous Physical Activity and Weight Outcomes: Does Every Minute Count?” 

    Methods, covariates, and study population limitations aside, what struck me as uncomfortable was how, despite the author’s self-admittance that this manuscript did not show causes and effects, the journal still placesets the following highlighted box. 

    Image

     

    In other words, “we can’t claim causation with our exercise exposure, but we urge you to change your lifestyle anyways.” Is that…

    View original post 93 more words

  • Updated: September 15, 2013

     
     Rank Teams Record
    1 OREGON 3-0
    2 ALABAMA 2-0
    3 WASHINGTON 2-0
    4 AUBURN 3-0
    5 UCLA 2-0
    6 FLORIDA STATE 2-0
    7 GEORGIA 1-1
    8 GEORGIA TECH 2-0
    9 CLEMSON 2-0
    10 OREGON STATE 2-1
    11 NAVY 2-0
    12 INDIANA 2-1
    13 USC 2-1
    14 LOUISVILLE 3-0
    15 OLE MISS 3-0
    16 MIAMI-FLORIDA 2-0
    17 ARIZONA 3-0
    18 TENNESSEE 2-1
    19 UTAH 2-1
    20 NORTHWESTERN 3-0
    21 ARIZONA STATE 2-0
    22 SO CAROLINA 2-1
    23 OHIO STATE 3-0
    24 VIRGINIA 1-1
    25 WASHINGTON ST 2-1

    Full Rankings

  • Overall Records

    SU: (10-6, 62.5%)

    ATS: (5-10-1, 34.38%)

    O/U: (7-9, 43.75%)

    Week 1 (10-6 SU, 5-10-1 ATS, 7-9 O/U)

    September 12, 2013 – 8:30pm

    New York Jets at New England Patriots

    Prediction: Patriots win 34-19

    Pick: Patriots -12

    OU: Over 44

    September 15, 2013 – 1pm

    Carolina Panthers at Buffalo Bills

    Prediction: Panthers win 28-21

    Pick: Panthers -3

    OU: Over 44

    Cleveland Browns at Baltimore Ravens

    Prediction: Ravens win 26-19

    Pick: Ravens -7

    OU: Over 43.5

    Dallas Cowboys at Kansas City Chiefs

    Prediction: Cowboys win 26-19

    Pick: Cowboys -2.5

    OU: Under 47

    Miami Dolphins at Indianapolis Colts

    Prediction: Dolphins win 21-20

    Pick: Dolphins +3

    OU: Over 43

    Minnesota Vikings at Chicago Bears

    Prediction: Bears win 22-19

    Pick: Viking +6.5

    OU: Over 42

    San Diego Chargers at Philadelphia Eagles

    Prediction: Chargers win 24-20

    Pick: Chargers +9

    OU: Under 54.5

    Washington Redskins at Green Bay Packers

    Prediction: Packers win 27-26

    Pick: Redskins +7.5

    OU: Over 50

    St. Louis Rams at Atlanta Falcons

    Prediction: Falcons win 24-19

    Pick: Rams +7

    OU: Under 48

    Tennessee Titans at Houston Texans

    Prediction: Texans win 30-17

    Pick: Houston -9

    OU: Over 43

    September 15, 2013 – 4:05pm

    New Orleans Saints at Tampa Bay Buccaneers

    Prediction: Saints win 28-27

    Pick: Buccaneers +4

    OU: Over 48

    Detroit Lions at Arizona Cardinals

    Prediction: Lions win 24-21

    Pick: Lions -2.5

    OU: Under 48

    September 15, 2013 – 4:25pm

    Denver Broncos at New York Giants

    Prediction: Broncos win 24-23

    Pick: Giants +5.5

    OU: Under 56

    Jacksonville Jaguars at Oakland Raiders

    Prediction: Raiders win 24-23

    Pick: Jaguars +6

    OU: Over 40

    September 15, 2013 – 8:30pm

    San Francisco 49ers at Seattle Seahawks

    Prediction: 49ers win 21-20

    Pick: 49ers +2.5

    OU: Under 45

    September 16, 2013 – 10:20pm

    Pittsburgh Steelers at Cincinnati Bengals

    Prediction: Bengals win 20-19

    Pick: Steelers +7

    OU: Under 41

  • September 7, 2013

     
    Rank Team Record
    1 CLEMSON 2-0
    2 TENNESSEE 2-0
    3 OREGON 2-0
    4 AUBURN 2-0
    5 OKLAHOMA 2-0
    6 OKLAHOMA STATE 2-0
    7 NORTHWESTERN 2-0
    8 GEORGIA 1-1
    9 LSU 2-0
    10 MICHIGAN 2-0
    11 TROY 2-0
    12 ILLINOIS 2-0
    13 BOSTON COLLEGE 2-0
    14 UTAH 2-0
    15 MICHIGAN STATE 2-0
    16 BOWLING GREEN 2-0
    17 NEBRASKA 2-0
    18 ALABAMA 1-0
    19 TEXAS TECH 2-0
    20 PENN STATE 2-0
    21 OLE MISS 2-0
    22 MIAMI-FLORIDA 2-0
    23 SOUTH ALABAMA 1-1
    24 ARKANSAS 2-0
    25 WISCONSIN 2-0

    Full Rankings

  • September 6, 2013

    Wake Forest at Boston College

    Prediction: Boston College 22-16

    September 7, 2013

    UAB at LSU

    Prediction: LSU 32-13

    Alcorn State at Mississippi State

    Prediction: Mississippi State 39-6

    Arizona at UNLV

    Prediction: Arizona 38-21

    Arkansas State at Auburn

    Prediction: Arkansas State 24-19

    Army at Ball State

    Prediction: Ball State 31-28

    Austin Peay at Vanderbilt

    Prediction: Vanderbilt 32-7

    Bowling Green at Kent State

    Prediction: Kent State 19-18

    Buffalo at Baylor

    Prediction: Baylor 40-24

    Cal Poly at Fresno State

    Prediction: Fresno State 31-20

    UC-Davis at Nevada

    Prediction: Nevada 44-17

    Central Arkansas at Colorado

    Prediction: Central Arkansas 27-24

    Central Florida at Florida International

    Prediction: Central Florida 25-14

    Chattanooga at Georgia State

    Prediction: Georgia State 23-20

    Cincinnati at Illinois

    Prediction: Cincinnati 24-13

    Colorado State at Tulsa

    Prediction: Tulsa 31-16

    Duke at Memphis

    Prediction: Duke 33-23

    Eastern Kentucky at Louisville

    Prediction: Louisville 33-12

    Eastern Michigan at Penn State

    Prediction: Penn State 35-10

    Florida Atlantic at East Carolina

    Prediction: East Carolina 26-22

    Gardner-Webb at Marshall

    Prediction: Marshall 38-20

    Grambling State at Louisiana-Monroe

    Prediction: Louisiana-Monroe 35-13

    Hawaii at Oregon State

    Prediction: Oregon State 31-12

    Houston at Temple

    Prediction: Temple 28-24

    Idaho at Wyoming

    Prediction: Wyoming 33-18

    Indiana State at Purdue

    Prediction: Purdue 23-13

    James Madison at Akron

    Prediction: James Madison 27-26

    Lamar at Louisiana Tech

    Prediction: Louisiana Tech 43-14

    Louisiana-Lafayette at Kansas State

    Prediction: Kansas State 28-20

    Maine at Massachusetts

    Prediction: Maine 22-21

    Middle Tennessee State at North Carolina

    Prediction: North Carolina 34-17

    Minnesota at New Mexico State

    Prediction: Minnesota 26-14

    Missouri State at Iowa

    Prediction: Iowa 28-12

    Navy at Indiana

    Prediction: Navy 31-27

    New Hampshire at Central Michigan

    Prediction: Central Michigan 27-20

    New Mexico at Texas-El Paso

    Prediction: New Mexico 26-23

    Nicholls State at Western Michigan

    Prediction: Western Michigan 30-16

    Norfolk State at Rutgers

    Prediction: Rutgers 27-9

    North Texas at Ohio

    Prediction: Ohio 28-20

    Notre Dame at Michigan

    Prediction: Notre Dame 22-14

    Oklahoma State at UTSA

    Prediction: Oklahoma State 37-17

    Old Dominion at Maryland

    Prediction: Old Dominion 20-18

    Oregon at Virginia

    Prediction: Oregon 36-16

    Portland State at California

    Prediction: California 36-14

    Richmond at North Carolina State

    Prediction: North Carolina State 28-14

    Sacramento State at Arizona State

    Prediction: Arizona State 34-14

    Sam Houston State at Texas A&M

    Prediction: Texas A&M 42-16

    Samford at Arkansas

    Prediction:  Arkansas 31-13

    San Diego State at Ohio State

    Prediction: Ohio State 27-17

    San Jose State at Stanford

    Prediction: Stanford 23-16

    Savannah State at Troy

    Prediction: Troy 39-13

    South Alabama at Tulane

    Prediction: South Alabama 26-20

    South Carolina at Georgia

    Prediction: Georgia 20-17

    South Carolina State at Clemson

    Prediction: Clemson 45-7

    South Dakota at Kansas

    Prediction: Kansas 27-20

    South Florida at Michigan State

    Prediction: Michigan State 17-13

    Southeast Missouri at Mississippi

    Prediction: Mississippi 40-12

    Southeastern Louisiana at TCU

    Prediction: TCU 37-6

    Southern Mississippi at Nebraska

    Prediction: Nebraska 34-13

    Stephen F. Austin at Texas Tech

    Prediction: Texas Tech 41-21

    Syracuse at Northwestern

    Prediction: Northwestern 26-23

    Tennessee Tech at Wisconsin

    Prediction: Wisconsin 35-7

    Tennessee-Martin at Boise State

    Prediction: Boise State 34-12

    Texas at BYU

    Prediction: BYU 19-18

    Toledo at Missouri

    Prediction: Missouri 28-21

    Utah State at Air Force

    Prediction: Utah 27-20

    Washington State at USC

    Prediction: USC 31-14

    Weber State at Utah

    Prediction: Utah 30-14

    West Virginia at Oklahoma

    Prediction: Oklahoma 31-24

    Western Carolina at Virginia Tech

    Prediction: Virginia Tech 28-9

    Western Kentucky at Tennessee

    Prediction: Tennessee 30-23

     

     

  • Overall Records

    SU: (1-0)

    ATS: (0-1)

    O/U: (1-0)

    Week 1 (1-0 SU, 0-1 ATS, 1-0 O/U)

    September 5, 2013 – 8:30pm

    Baltimore Ravens at Denver Broncos

    Prediction: Broncos win 24-23

    Pick: Ravens +8.5

    OU: Over 47.5

    September 8, 2013 – 1pm

    New England Patriots at Buffalo Bills

    Prediction: Patriots win 38-21

    Pick: Patriots -7

    OU: Over 51

    Tennessee Titans at Pittsburgh Steelers

    Prediction: Steelers win 25-17

    Pick: Steelers -7

    OU: Over 42

    Atlanta Falcons at New Orleans Saints

    Prediction: Falcons win 30-24

    Pick: Falcons +3

    OU: Over 53.5

    Tampa Bay Buccaneers at New York Jets

    Prediction: Buccaneers win 24-20

    Pick: Buccaneers -2.5

    OU: Over 40.5

    Kansas City Chiefs at Jacksonville Jaguars

    Prediction: Chiefs win 23-20

    Pick: Jaguars +3.5

    OU: Over 41

    Cincinnati Bengals at Chicago Bears

    Prediction: Bears win 21-17

    Pick: Bengals +3.5

    OU: Under 43.5

    Miami Dolphins at Cleveland Browns

    Prediction: Dolphins 20-19

    Pick: Browns +1.5

    OU: Under 41

    Seattle Seahawks at Carolina Panthers

    Prediction: Seahawks win 26-17

    Pick: Seahawks -2.5

    OU: Under 45.5

    Minnesota Vikings at Detroit Lions

    Prediction: Vikings win 27-24

    Pick: Vikings +3.5

    OU: Over 46

    Oakland Raiders at Indianapolis Colts

    Prediction: Colts win 27-22

    Pick: Raiders +7

    OU: over 47.5

    September 8, 2013 – 4:25pm

    St. Louis Rams at Arizona Cardinals

    Rams win 21-16

    Pick: Cardinals +6

    OU: Under 41.5

    Green Bay Packers at San Francisco 49ers

    Prediction: 49ers win 26-20

    Pick: 49ers -4

    OU: Under 48

    September 8, 2013 – 8:30pm

    New York Giants at Dallas Cowboys

    Prediction: Giants win 27-21

    Pick: Giants +2.5

    OU: Over 47.5

    September 9, 2013 – 7:10pm

    Philadelphia Eagles at Washington Redskins

    Prediction: Redskins win 31-21

    Pick: Redskins -4.5

    OU: Over 47.5

    September 9, 2013 – 10:20pm

    Houston Texans at San Diego Chargers

    Prediction: Texans win 25-19

    Pick: Texans -3

    OU: Over 44.5

  • Projected Record

    Team – (Median wins) expected wins

    AFC East

    New England – (11-5) 10.588

    Miami – (8-8) 7.57

    NY Jets (7-9) 6.843

    Buffalo – (7-9) 6.634

    AFC North

    Baltimore (9-7) 8.816

    Cincinnati – (8-8) 8.179

    Pittsburgh – (8-8) 8.135

    Cleveland – (7-9) 7.282

    AFC South

    Houston (9-7) 9.448

    Indianapolis – (8-8) 7.698

    Tennessee (6-10) 6.226

    Jacksonville (6-10) 5.814

    AFC West

    Denver – (10-6) 10.082

    San Diego – (8-8) 7.864

    Kansas City – (7-9) 6.655

    Oakland – (6-10) 6.33

    NFC East

    NY Giants (9-7) 9.238

    Washington (9-7) 8.772

    Dallas (8-8) 7.771

    Philadelphia (6-10) 6.367

    NFC North

    Chicago (9-7) 8.978

    Green Bay (8-8) 8.439

    Minnesota (8-8) 8.078

    Detroit (7-9) 7.365

    NFC South

    Atlanta (9-7) 9.205

    Carolina (8-8) 7.820

    New Orleans (8-8) 7.677

    Tampa Bay (7-9) 7.516

    NFC West

    San Francisco (10-6) 10.150

    Seattle (10-6) 10.071

    St. Louis (8-8) 7.735

    Arizona (7-9) 6.612

    Projected Playoffs

    AFC

    1. New England

    2. Denver

    3. Houston

    4. Baltimore

    5. Cincinnati

    6. Pittsburgh

    NFC

    1. San Francisco

    2. NY Giants

    3. Atlanta

    4. Chicago

    5. Seattle

    6. Washington

    Projected Wild Card Round

    AFC

    Houston beats Pittsburgh 23-19

    Baltimore beats Cincinnati 23-20

    NFC

    Atlanta beats Washington 27-24

    Seattle beats Chicago 21-17

    Projected Divisional Round

    AFC

    New England beats Baltimore 31-26

    Denver beats Houston 24-23

    NFC

    San Francisco beats Seattle 21-20

    Atlanta beats NY Giants 24-22

    Projected Conference Round

    AFC

    New England beats Denver 30-26

    NFC

    San Francisco beats Atlanta 24-21

    Super Bowl

    AFC

    New England beats San Francisco 28-27