Homefield advantage exists. This much we know. What we don’t know is what exactly is homefield advantage and how can we quantify it? Determining what homefield advantage is and the voluminous variables that go into it would require a great undertaking. Unfortunately, I am lazy and impatient, so I will only make an attempt to quantify it, at least to a small degree. In order to quantify homefield advantage (at least as it exists in college football), I looked at every college football conference game since 2005 (nine seasons) that was played at a non-neutral site and compiled each school’s record in both home and away conference games. Neutral site games, such as the annual Florida/Georgia showdown in Jacksonville were not included. I made judgment calls about a few teams, primarily Arkansas but some other teams as well, and considered their games in Little Rock to be home games. I then looked at the difference between each teams’ winning percentage at home versus their winning percentage on the road. But what is the best way to examine the ‘difference’ in winning percentage? The simplest way would be to subtract the road winning percentage from the home winning percentage. But is this the best way? Consider this thought experiment (I will use a sample size of ten so the percentages are easy to calculate): Suppose Team A is a juggernaut in their conference and wins nine of their ten home games in our sample. On the road, though they do suffer an occasional defeat, they are still a force to be reckoned with, winning six of their ten contests. In the same conference, Team B is a perennial loser. However, they are reasonably tough at home, winning four of their ten games. On the road, they merely serve as punching bags or cannon fodder, winning just once in ten games. If we use the difference in their home and road winning percentage, both teams come out with a difference of .300. That would be .900 minus .600 for Team A and .400 minus .100 for Team B. However, I would make the argument that in fact, Team B has the greater homefield advantage (receives the greatest boost from playing at home). If we use the ratio of the winning percentages (home win percentage divided by road winning percentage), we obtain a much different result. Team A has a ratio of 1.5 (.900 divided by .600), while Team B was a ratio of 4 (.400 divided by .100). While Team A is nearly unbeatable at home, they are also solid on the road. Team B on the other hand, is a lost cause on the road, but when they play in the friendly confines, they are almost average. Finally, in an attempt to get the best of both worlds, let’s multiply the difference by the ratio to get our final rating. Let’s call this rating the Composite Homefield Advantage, or CHA for short. For Team A, their CHA would be .450 (.300 multiplied by 1.5). For Team B, their CHA would be 1.2 (.300 multiplied by 4).
Alright, let’s stop dealing in theoretical though experiments like an 18th century philosopher and look at some real data. Which teams have the largest difference between their home winning percentage and road winning percentage? The results will probably be a little shocking. Neophytes Georgia State, South Alabama, Texas-San Antonio, and Texas State were not included in this table (if they qualified) because they have been playing conference games for at most two seasons.
Now let’s take a look at which teams had the largest ratios when dividing their home winning percentage by their road winning percentage. Neophytes not included.
Now if we use the CHA method mentioned above, these are the top homefield advantage teams. Once again, neophytes not included.
Jim Donnan and then Bob Pruett, but that success was long ago and on a different plane of football. However, being non-traditional powers does not seem to be a likely reason for their homefield advantage. What else do they have in common? Most could potentially present weather and environmental challenges to their conference opponents. During their run in the Big East, Connecticut had the opportunity to host South Florida and Louisville, two teams that play in warmer climates, as well as a dome team in Syracuse. Las Vegas is a desert and can be extremely unforgiving early in the season and is over 2000 feet above sea level. El Paso is another desert city that can be extremely hot early in the season or bitterly cold late in the year with an even higher elevation than Las Vegas (over 3000 feet above sea level). Huntington does not appear to confer any significant weather related advantages to the Thundering Herd, but it does share another trait in common with the other three in that it is relatively isolated from its conference brethren. When Conference USA was in its twelve team format (2005-2012), Marshall was within 500 miles of only one league opponent (East Carolina). UTEP, another Conference USA staple, was not within 500 miles of any conference foe, with SMU being the closest at 650 miles away. During their time in the Big East (2005-2012), Connecticut was close to two conference opponents (Rutgers and Syracuse), with the Knights only 185 and the Orange 270 miles away. Every other league member was at least 500 miles away. UNLV was not closer than 300 miles to any conference mate during the majority of the Mountain West’s makeup, with San Diego State (330 miles) and BYU (375 miles) being the closest. Being geographically isolated can have a positive impact on home performance and a negative impact on road performance, so that is a likely reason all four of these teams have such divergent home and road winning percentages.
With that being said, it does bear mentioning that the most geographically isolated team in college football did not see a significant difference in their home and road play from 2005 to 2013. Hawaii won more often at home (21-14) than they did on the road (17-19), but during these nine years they tended to be either very good at home and on the road (see 2006, 2007, and 2010) or equally inept in any locale (see 2012 and 2013).
One final thought on geography before I leave you. While West Virginia has not enjoyed any significant advantage in Morgantown since joining the Big 12 (3-6 at home and on the road), I think they will see a significant disparity in their home and road splits (assuming the conference affiliation stays as it is) since they are so far removed from the rest of their Big 12 opponents. Stay tuned for the next post where I’ll examine how homefield advantage manifests itself in overtime games.