Mark D. Smith-USA TODAY Sports. Pictured: Kyler Murray
- College football statistics have come a long way in the last decade.
- You can use advanced metrics when betting games.
- We dive into the most important stats and how to interpret them.
You’ve seen us reference them in many of our stories. And you might be a little thrown off by the language and numbers. But don’t fret. Advanced stats in college football aren’t as complicated as they seem.
Four weeks into the season, some of the advanced metrics have a large enough sample size to use when handicapping games.
Oddsmakers already factor these statistics into point spreads and over/unders for the most part. But to stay sharp and keep up with them, here are the advanced stats bettors should know.
I can’t list every stat, but this should serve as a guide on how to interpret them on your own.
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Interpreting Conventional Stats in a Different Way
Some of the “advanced” stats college football bettors use aren’t all that advanced. They’re just a different interpretation of stats we’ve been using forever.
Yards Per Play
Yards per game is influenced by game flow, team philosophy and so much more. Look at yards per play on offense and defense instead.
Oklahoma gained only 355 yards against Army on Saturday. But the Sooners had eight possessions and ran 40 plays because Army controlled the ball with its triple option. That’s an indictment of Oklahoma’s defense, sure, but not of the offense’s ability to move the ball. Its 8.88 yards per play on offense is an excellent number.
Liberty put up 417 total yards against Army in 60 plays to Oklahoma’s 355. Liberty does not have a better offense than Oklahoma.
Once enough games have been played, use a team’s yards per play differential from offense and defense to determine its all-around strength.
The median FBS offense (Utah State) gained 5.62 yards per play last season, so anything better than that is above average. Oklahoma led FBS at 8.29 on offense, while Alabama was tops on defense at 3.99.
Turnovers are based on luck, to a certain extent. Over a large sample size, each FBS team will recover about 50% of fumbles. And the FBS average for passes defended that turn into interceptions is just over 20%.
But how an oblong ball bounces after a fumble, or where it flies after a tipped pass, is random on a given play or in a given game.
How havoc influences turnovers: Havoc is defined as plays in which a defense records a tackle for loss, forces a fumble or defends a pass. Our Collin Wilson loves betting on teams that create havoc, and there are certain defensive coordinators who coach it best. If you’re constantly causing havoc, you’ll force more turnovers.
But don’t blindly look at turnovers in a small sample size and assume it was a product of that team’s coaching or ability. If a team has an unusually positive turnover margin one year, it often comes crashing down the next year.
Like yards per play, most college football statistics should be viewed as rates and not raw numbers. The differences in styles can skew raw numbers drastically.
Sack rate, for example: If your defense has four sacks, that’s pretty good, right? But if it had four sacks when the other quarterback dropped back to pass 100 times, that’s not as good.
Same goes for your offense. Army gave up one sack last season because it never throws. Washington State gave up the fifth-most in FBS because all it does is throw.
Where to Find Advanced Stats
Bill Connelly is the gatekeeper for a lot of college football’s best advanced metrics. He’s got a database of play-by-play data over the last decade and a half to reference.
This year, he’s put his team profiles into a Google Doc that I highly recommend. It’s got every metric you need to bet college football.
FO pioneered many advanced NFL metrics, and did the same for college. A lot of their college stats aren’t available until Week 6.
Do your own analysis! SportsSource Analytics has play-by-play data dating back to 2005 available for purchase, if you want to create your own metrics.
Key Advanced Stats for Betting College Football
Connelly has boiled down the success of a football team into five factors.
- Field Position
- Finishing Drives
These factors come together to make S&P+, which rates FBS teams from 1-130 based on play-by-play performance and not wins and losses. The S&P+ numbers are usually very close to point spreads. There are also specific S&P+ ratings for offense, defense and special teams, available in that Google Doc.
Success Rate (efficiency): Created by Football Outsiders, it’s defined as gaining 50% of necessary yardage on first down, 70% on second down and 100% on third and fourth down.
Essentially, how often do you put yourself in a good position to move the chains? Success Rate has the highest correlation to winning games.
Explosiveness: Coaches talk about it all the time now. If you can move the ball in large chunks, and prevent your opponent from doing so, you’re going to win a lot of games.
Connelly keeps the best explosiveness measure because it’s relative to field position. A 35-yard touchdown pass is incredibly valuable because it covers all the yards remaining to score. There was no way that team could have gained more than 35 yards on that play.
CFBStats.com also has raw big play numbers, like total plays of 10-plus yards, all the way to 90-plus yards.
Points per trip inside the 40 (finishing drives): The “red zone” being defined at the 20-yard line is kind of arbitrary. The 40-yard line is a better measure, because it’s when a team could conceivably score points.
Field Position: Special teams is obviously a huge part of this, but the offenses and defenses feed off each other here. Alabama’s offense always has good field position because the defense never lets its opponents move the ball downfield.
I can’t list them all because there are too many. But you can use certain advanced statistics to find matchups where one team excels and one team struggles and make a bet in part based on that. Some examples can be found here.
Opportunity Rate vs. Stuff Rate: Opportunity rate is the percentage of carries that the running back gains five yards. Gaining those first five yards are thought to be a product of offensive line play. Stuff rate is how often a defense tackles a player at or behind the line of scrimmage.
So if you have an offensive line that ranks low in opportunity rate and a defense that’s great in stuff rate, you have a mismatch in favor of the defense.
Explosiveness vs. Explosiveness: An offense that makes big plays against a defense susceptible to them.
Adjusted Sack Rate vs. Adjusted Sack Rate: Offensive line stats aren’t perfect, but this is a good way to find a defensive line that might dominate.
What About Over/Unders?
I’m a much bigger fan of betting unders in college football — just recondition yourself to love great punts, three consecutive running plays that go for 11 yards and turnovers in the red zone, and you will too.
There are ways to find value on overs and unders using pace metrics.
Plays per minute: How quickly are teams getting to the line to snap the ball? More plays, more possessions, more points. CFBAnalytics has some other good tempo measures, like possessions per game and plays per possession.
Adjusted Pace: How fast a team plays, adjusted for how often it runs or passes. Naturally, if you throw a lot, you’ll run more plays since the clock will stop on incompletions. You can find this in Connelly’s Google Doc.
Standard Down run rate: When betting unders, I like teams that run the ball when you’d expect them to. It keeps the clock moving.
Conversely, there are certain defenses that teams like to pass against on first down. For whatever reason, teams never run on Michigan State on standard downs (130 of 130 FBS teams). Teams love to run against Bowling Green, however (first of 130).
In Conclusion …
College football advanced stats aren’t as far along as the NFL’s. And nowhere near MLB.
But there’s a wealth of information out there for bettors to use, and I encourage you to take advantage by learning more.