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SMQ: Tiger Stadium Overrated

I love reading Sunday Morning QB when I've got about eight hours to kill reading sundry football material (it's engrossing, I tell you, but unfortunately I have a day job). Today, SMQ has a bone to pick with the result of Kyle's home-field advantage poll. He's run the numbers, and interestingly since 1998 it looks like Mississippi State has the best home vs road winning percentage differential among SEC teams (in conference games), ergo they technically should be considered to have the best home field advantage in the conference.

I think SMQ's real gripe is with the modern connotation of the phrase "home field advantage" which, as he admittedly notes in his post, does not equate to "toughest place to play." While in days of yore, HFA very well could have been taken to mean how much better a team plays at home than on the road, as long as I've known it the heart of the reference has really been that of "How difficult it is to play at stadium X."

My issue with his calculation: a pure home-road differential clearly exaggerates the poorest teams, who invariably play poorly on the road. For a perenially winning team like Tennessee (well, till 2005), whose winning percentage on the road is a whopping .714 over this span, the MAXIMUM home field advantage they could have exhibited per SMQ's calculations (i.e. had they won every single home game over that stretch) is 0.286, and in fact Florida's max would be 0.289, which both happen to be lower than the differential actually delivered by Arkansas or Mississippi State over that period. No question that given that the latter two are just so awful on the road (0.333 and 0.152 winning percentages, respectively), it's impressive that they managed to accomplish anything at home, but the bar is just that much lower than for a team like Florida, Georgia, Tennessee, or LSU. The simple fact that the very best teams are so constrained in this calculation by their excellent play on the road completely dilutes the statistical rigor of this method and thus renders it invalid, in my humble opinion.

I'm not sure what a better way to go about calculating this would be - I'll give it some thought - but certainly this is not the correct way (or if it's the correct way, it's not the correct calculation).

(One more note, it may be a bit of a stretch to consider the SEC Championship game - held annually in Atlanta - a Road/Neutral game for the Georgia Bulldogs, given that Athens is an hour away.)

One thought offhand: one can always adjust a few things here and there. Though it could be arguable, I'm going to adjust the SEC Championship games that Georgia has played in to make them home rather than road/neutral. Further, I don't think anyone (even LSU) plays up his team's Home Field Advantage during rough stretches in said team's history (ever hear about the Swamp pre-Spurrier?) - so note that in 98 and 99 (the beginning two years of SMQ's analysis), LSU was 4-7 and 3-8. Since we're working with percentages here rather than absolutes, and since I don't have the time to go aggregate the data for the 11 other schools, I'm going to drop LSU's SEC record from those two seasons (2-6 home, 1-7 road).

Now, as mentioned above if a team like Tennessee has an astounding 0.714 winning percentage on the road during this span, and their maximum improvement is already lower than what was exhibited by MSU and Arkansas, what's the best way to adjust for their real performance at home? One method would be to calculate the maximum improvement possible (in UT's case, 0.286), and divide into that the actual improvement exhibited by the team. For instance, if your maximum improvement is 0.250 (if you had a 0.750 road winning percentage), and your actual improvement is 0.050 (for an 0.800 home winning percentage), your "improvement" if you will is 0.050/0.250 = 20%. Making these adjustments only, the rankings fall out as follows:

  1. MSU 45%
  2. Ark 44%
  3. UGA 41%
  4. LSU 38%
  5. UF 26%
  6. Miss 21%
  7. Bama 16%
  8. SC 10%
  9. UK 8%
  10. Aub 2%
  11. Tenn 2%
  12. Vand (-4%)
Taking it further, the Home winning percentage required by Florida or Tennessee under this methodology in order to merely have an "equal" HFA to that of Mississippi State winds up being 0.840! Methinks this asks a lot of said teams, how about you? What's more, since memory doesn't serve me and I don't have the time to dig up my old stats book to figure out how to manually calculate a margin of error, I'd say given the small sample set of data (n= ~30-35) and that a t-distribution doesn't really approach the true normal distribution until around n=120, I wouldn't say it's unreasonable to assert that the margin of error here would be at least = +/-3%. Given that LSU falls within 6% of MSU, clearly the probability is nontrivial that using the data set above, the LSU Tigers do indeed have the biggest Home Field Advantage in the SEC.

Again, no question that Mississippi State has been remarkably better at home than on the road; that said, in my opinion this is far from the conventional (and intended) definition of the term "Home Field Advantage."

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Figuring out home-field advantage
Assuming homefield advantage is real (and, more and more, I'm believing that its effect only exists when weather is involved), I think there are too many year-to-year variables that alter things to just use blanket numbers. For example, in a given year a team may play all the weak teams in a conference at home and all the strong ones on the road, artificially altering their strength or weakness at home or on the road. And maybe in such year, they had a particularly strong team while in a different year, they didn't. Or perhaps in a given year, some team was surprisingly good that altered the schedule, like Ole Miss in 2003 or South Carolina in Holtz's second year when they went 10-2 (2000?).

(Re-reading that paragraph, I'm not sure it makes any sense but it's 12:45 am and I need to go to bed so I'm just going to hope you can decipher what I was trying to say.)

The way I would calculate it is to take a fairly large sample size (10 years?) and only calculate how a team did at home and on the road against good teams; say, teams that had a winning record. That way, you wipe out all the games against 2003 Mississippi State or any game against Vandy, which artificially enhances how "good" a team is at both home and on the road because the reason they won probably had nothing to do with being at home but rather that the opponent was terrible.

If you only measure how they do against good teams, it probably would give you a truer indication of how great homefield advantage is. It doesn't strike me as particularly impressive that some SEC team has a slightly higher winning percentage either at home or on the road because they were able to beat Jackie Sherrill's last Mississippi State team by 40.

by Cola on Aug 25, 2006 2:46 AM CDT   0 recs

The Vegas Way
Here's another way you could calculate it...

In determining odds, Vegas gives a team three points for being at home. So if a home team is considered 12 points worse than a road team on a neutral field, the home team would be a nine-point 'dog.

Throw out all the losing teams because there are too many invariables involved there (not wanting to run up the score, garbage time, backups playing a lot) and only look at games against teams that had a winning record.

Then pick a large sample size of games and see how teams scored relative to their three-point advantage or disadvantage.

For example, let's say that over a 10-year span, LSU played 23 of these games at home and 19 on the road. Let's go step by step...

  1. LSU's home advantage is +3 per game. So multiple 3 by 23 games played, giving you the total number of points homefield advantage is supposed to provide them--in this case, +69 points.
  2. Let's say that in those 23 games, LSU actually outscored their opponents by 151 points. Subtract 69 from 151 and you get 82, the number over the homefield advantage mark LSU scored.
  3. Divide 82 points by 23 games played (to account for the different number of games at home versus on the road) to give you an average of 3.56 points over the homefield advantage line per game.
  4. LSU's road disadvantage is -3 per game. So multiple -3 by 19 games played, giving you the total number of points road disadvantage is supposed to provide them--in this case, -57 points.
  5. Let's say that in those 19 games, LSU actually was outscored by their opponents by 74 points, meaning they were oustscored 17 points more than the road disadvantage.
  6. Divide the -17 by 19 games to get per game loss over the three point road disadvange, which in this case is -0.89.
  7. The margin between the points over the homefield advantage (3.56) and road team disadvantage (-.89) is 4.45 points. Now compare that to every other team in the conferece. Whoever has the largest margin has the greatest homefield advantage, assuming such a thing exists.
Having just concocted this formula and typed it all out, I'm not sure if there's any logic or basis to it at all. But I spent the time typing it so I'm posting it anyway.

by Cola on Aug 25, 2006 3:04 AM CDT   0 recs

Re: disagreement
Matt, thanks for the response and the clarity. That said, if you were trying to measure something different, I think saying that Tiger Stadium is overrated is coming back to its reputation based on MY argument regarding home field advantage - Tiger Stadium's reputation isn't really that we have a much better winning percentage there than on the road; rather, it's that Tiger Stadium is a notoriously difficult environment in which to play, and even more so at night: 0.765 winning percentage at night since 1960 versus 0.453 during the day.

So my point is, your analysis is at least invalid in concluding that Death Valley's overrated, because that's not the real reputation Death Valley has, though I will retrace my steps and concede that it is indeed perfectly valid for the larger point you were attempting to make.

Thanks again for the post.

by GeauxTigers on Aug 26, 2006 1:19 PM CDT   0 recs

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