UGA is officially ranked #22 to start the preseason (Coaches Preseason Poll), so I figured it would be a good idea to try to post something to get us ready for the Chick-Fil-A college kickoff against Boise State. Last fall, I read an article on Smart Football about Boise State and what makes their offense so potent. If you haven’t read it, be sure to put aside thirty minutes to check it out. It’s pretty good reading. Long story short, Boise coach Chris Petersen is a wizard at “maximizing personnel” and creating schematic advantages. I’m not telling you something you don’t already know, but just to put UGA fans on notice, Boise State lights up the scoreboard. Over the past ten years, this is a team that has consistently scored over forty points per game…and there is an upward trend on points scored.
I remember back in college setting up a college football dynasty on EA Sports NCAA Football
Looking at Phil Steele
(SKIP THIS NEXT SECTION IF YOU DON’T GIVE A CRAP ABOUT MATH)
I ran a regression to determine whether the number of returning starters will affect the number of wins that a team has had over the past two years. I removed MAC and Sun Belt Conferences from the data because those teams are perennial doormats for BCS conference teams. I left in Conference USA (UCF killed us in the bowl game, so they must be pretty legit). I also left in the WAC (Boise State) and Mountain West (TCU) – welcome to the big leagues, guys. Basically, I took the wins for every team in the NCAA from 2010 and 2009 and used the number of returning starters to try and determine whether the amount of returning starters will have an effect on the win totals. Most statisticians prefer to use a 95% confidence rating (alpha). I used 90% because it's tough to find much significance in football stats. Using 90% confidence rating, regression shows that the number of returning starters does affect the number of wins that a team has in a given season.
F | Significance F | |||
2.83989629 | 0.093549763 | |||
P-value | Lower 95% | Upper 95% | Lower 90.0% | Upper 90.0% |
2.27055E-05 | 2.771065183 | 7.384085081 | 3.144721721 | 7.010428543 |
0.093549763 | -0.022643683 | 0.288556395 | 0.002563654 | 0.263349059 |
Since the returning starter data is significant, we can determine the expected amount of wins from both UGA and Boise State – depending on the number of starters they return this year:
Regression Statistics | |
Multiple R | 0.11981034 |
R Square | 0.014354518 |
Adjusted R Square | 0.009299925 |
Standard Error | 3.000332951 |
Observations | 197 |
ANOVA | |
df | |
Regression | 1 |
Residual | 195 |
Total | 196 |
Coefficients | |
Intercept | 5.077575132 |
RET STRTERS | 0.132956356 |
(OK, YOU CAN START READING AGAIN NOW)
Here is the expected number of wins – depending on the number of starters returned in 2011, using information from every team in the NCAA’s returning starters over the past two seasons. This is the number of wins that a team can expect to have based on the number of starters returning on offense, defense, and special teams combined:
# Returning PREDICTED WINS
10 | 6.407138695 |
11 | 6.540095052 |
12 | 6.673051408 |
13 | 6.806007764 |
14 | 6.93896412 |
15 | 7.071920477 |
16 | 7.204876833 |
17 | 7.337833189 |
18 | 7.470789546 |
19 | 7.603745902 |
20 | 7.736702258 |
21 | 7.869658615 |
22 | 8.002614971 |
23 | 8.135571327 |
24 | 8.268527684 |
UGA returns 17 starters and Boise State returns 14, so we should win 0.4 more games than Boise State this year. This is with 90% confidence, and only relies on past data. Obviously, I don’t expect Boise to ONLY win almost 7 games this year because they play in the W(h)AC(k) conference. Boise will win ten games easy with that QB and those schemes…but the SEC isn’t quite as clear.
There is a legitimate chance that UGA only wins 7 games this year. We have unproven running backs, need someone to step up at WR, are thin on OL, and have many new faces on defense. Vanderbilt and Kentucky aside, it will be interesting to see how close these respective teams are with their end rankings at the end of the season.
There is a legitimate chance that UGA only wins 7 games this year. We have unproven running backs, need someone to step up at WR, are thin on OL, and have many new faces on defense. Vanderbilt and Kentucky aside, it will be interesting to see how close these respective teams are with their end rankings at the end of the season.
CONF | 2011 Team | # Returning Starters (Off/Def/ST) | Projected Wins |
SEC | Vanderbilt | 21 | 7.869659 |
SEC | Georgia | 17 | 7.337833 |
SEC | Kentucky | 17 | 7.337833 |
SEC | Alabama | 17 | 7.337833 |
SEC | Mississippi | 16 | 7.204877 |
SEC | Arkansas | 15 | 7.07192 |
SEC | Miss St | 15 | 7.07192 |
SEC | LSU | 15 | 7.07192 |
SEC | South Carolina | 13 | 6.806008 |
SEC | Florida | 13 | 6.806008 |
SEC | Tennessee | 13 | 6.806008 |
SEC | Auburn | 7 | 6.00827 |
Now, I’m not going to sit here and type that Vandy and Kentucky aren’t worth a damn, but this data doesn’t really include much information about strength of recruiting, coaches, or other factors that affect team wins (AJ GREEN, TERRENCE CODY, CAM NEWTON, et al). So it’s probably not likely that Florida will only win 6 games. Bear in mind that this data includes the entire NCAA FBS, which includes boring teams like anyone in the Big Ten or Big East. Most SEC teams pummel a few D-1A schools and have inflated win totals at the end of the year, but it will certainly be interesting to see if a team like South Carolina isn’t that great.
So what does this tell us? Teams are better when they return more starters. What else? Kickers, punters, and return men are an important part of a team’s win totals. When I ran the regression without special team starters coming back, the data wasn’t significant. So we can’t say with certainty that win total only comes from positional players returning. Special Teams helps teams win games, “significantly”. Hopefully, this works to our advantage comes labor day weekend in the Georgia Dome.
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