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NFL & College Football Betting Guide: Understanding Offensive Stats

Updated July 31, 2023 | 12:07 pm CDT by Isaiah Sirois

If you want to become a more profitable football gambler, you must have both a broad understanding of statistics and the ability to discern which numbers mean more than others. In this NFL and college football sports betting and strategy guide, I’ll lay out the roap for which numbers you should be following most closely. We won’t dive all the way into the nitty gritty, but if a specific metric catches your eye, deeper dives are coming (and will be linked within this post as they do). If you don’t want to do the dirty work yourself, subscribe to OddsShopper Insider Access and check out my NFL betting model. Let’s dig in!

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NFL & College Football Betting & Strategy Guide: Key Offensive Stats

NFL & College Football Betting & Strategy Guide Part 1. Offense

Let’s begin by talking about offense. Football is fundamentally a ing game; the best way to increase your odds of winning in almost all circumstances is by dropping back to . Despite what commentators may say about how teams who run a lot tend to win, it’s the ing offenses that build the lead allowing them to run the clock out that truly matter.

When evaluating a ing offense, you have three personnel groupings to consider. Obviously, you must pay careful attention to the quarterback. A change under center can often move NFL and college football betting lines by a significant margin. Skill-position players, especially wide receivers, matter a lot as well. So do offensive linemen. We’ll focus on the first and third in this column.

You should also pay the most attention to yards gained, not points scored or giveaways. While some quarterbacks and inherently more turnover-prone, they factor into most efficiency metrics at the position, so you’ll be able to dig them up there. Fumbles, especially fumble recoveries, are much more luck-based than skill-based, so fumbles are usually more noise than signal.

Evaluating Quarterback Play | Football Betting & Strategy Guide

Most quarterback stats factor in the play of their teammates. Completion percentage, for example, requires the quarterback’s target to actually catch the ball. Both total yards and yards per attempt (Y/PA) have this problem as well. But if you’re looking for the best metrics to evaluate a quarterback individually, dive into completion percentage over expected (OE) and expected points added (EPA) per play.

OE adjusts for the likelihood of a quarterback’s getting completed. A player who attempts many low-percentage throws and completes more of them than average is rewarded; a player who attempts many high-percentage throws and completes an average number of them is not. In 2022, every full-time starting quarterback with a OE of 2.0 or higher made the playoffs.

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EPA is a similar metric in that is also based on a quarterback’s contribution above the average. But instead of looking at a quarterback’s accuracy, EPA per play calculates how many more points than the average quarterback the player contributes on a per-play basis. Turnovers, especially pick-sixes, add points to the other team, thus subtracting points from the team (and quarterback) in question. Every full-time starting quarterback (plus Jimmy Garoppolo) with an EPA per play of 0.2 or higher made the playoffs.

Unfortunately, EPA and OE are not accessible statistics for those looking to handicap college games. So instead, I recommend that you use ing efficiency. That metric uses a formula that rewards quarterbacks for yards gained, touchdowns thrown and completions while punishing them for interceptions. In 2022, teams with a top-25 quarterback in ing efficiency all went to a bowl game. The top three Power 5 quarterbacks in the metric led their team to a New Year’s Six Bowl.

Evaluating Offensive Line Play | Football Betting & Strategy Guide

Quarterbacks are usually only as good as their offensive lines. While some guys like Russell Wilson and Lamar Jackson can compensate for poor -blocking with their athleticism — and others like Aaron Rodgers can compensate with their quick release — it’s difficult for a good quarterback to look good behind a bad offensive line. I use four easily accessed metrics to evaluate NFL offensive lines and one metric to evaluate college offensive lines.

In the NFL, it’s useful to consider Football Outsiders’ adjusted sack rate, Pro-Football-Reference’s pressure percentage and ESPN’s -block win rate to evaluate offensive lines as a group. I then use PFF’s player pages to evaluate individual offensive linemen, especially when one or two of the group are injured.

Adjusted sack rate is a fairly basic stat that calculates the number of sacks and intentional grounding penalties divided by the number of plays. The metric also adjusts for opponent quality and down and distance. However, even Football Outsiders acknowledges that quarterbacks are sometimes responsible for their own sacks and that the metric doesn’t adjust for this.

Pressure percentage is also insightful, but as with adjusted sack rate, it doesn’t fully address quarterbacks who cause their own sacks. Pressure percentage is the times a quarterback is sacked, hurried or hit divided by their total dropbacks minus scrambles. The metric rewards offensive lines that have mobile quarterbacks or who get rid of the ball quickly while punishing those who do not. In 2022, only one of the top-five quarterbacks in pocket time had a pressure percentage above 18%; each of the bottom-five quarterbacks in the metric did.

block win rate calculates how often an offensive lineman can sustain his block for 2.5 seconds or longer. ESPN tracks both individual and team performance. In 2022, the Kansas City Chiefs led the NFL in the metric by a whopping seven percentage points at 75%. The Indianapolis Colts and Jacksonville Jaguars were the only teams to win less than half of the time with block win rates of 49%.

College football is harder to evaluate, especially because the NCAA logs sacks as rushing attempts. Havoc rate allowed offers some insight into an offensive line’s play, but it isn’t a perfect metric. Havoc rate is the sum of the total number of tackles for loss, es defended and forced fumbles divided by total plays; havoc rate allowed is the sum of those plays allowed by an offense divided by the same number.

Evaluating the Offense as a Whole | Football Betting & Strategy Guide

We saved the most important part for last — let’s wrap up by talking about the numbers that I use to holistically evaluate an offense. A few of these metrics are related to the ones that we discussed earlier. For example, EPA per play isn’t just a quarterback statistic — you can calculate it for an entire offense as well. EPA per play is a foundational metric within my NFL betting model. All five of the regular-season leaders in EPA per play in 2022 made the playoffs and won at least one playoff game. No bottom-12 team in the metric made the playoffs.

I also love to use net yards per attempt (NY/A), which, while technically a quarterback stat, offers plenty of insight into the offense as a whole. NY/A takes a quarterback’s net yards, which are ing yards minus yards lost from sacks, and divides it by their total ing attempts. The metric expresses a quarterback’s efficiency, the efficiency of their skill-position players in generating yards after the catch and the protection the quarterback is receiving. Four of the top-five quarterbacks in NY/A played for teams that made the playoffs in 2022. No team with a bottom-five starter in the metric made the playoffs.

In college football, yards per play (Y/P) and yards per attempt (Y/PA) are useful substitutes for NY/A. Because sacks are tracked as negative rushing plays, Y/PA necessarily ignores blocking, but it still offers some insight into the quality of a quarterback’s receiving corps. Aside from the service academies, whose triple-option offenses make them outliers in the metric, the top four teams in Y/PA all made a New Year’s Six Bowl. Those programs also ranked one through four in overall Y/P.

Index

Part 1. Expected Points Added (EPA)
Part 3. Net Yards Per Attempt (NY/A)
Part 4. ing Efficiency
Part 5. NFL & College Football Betting & Strategy Guide: Defense 

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Isaiah Sirois

Author

Isaiah Sirois

Isaiah Sirois is a sports betting analyst at OddsShopper specializing in basketball, football and motorsports. Basketball is Isaiah’s favorite sport to handicap, and he has covered NBA, WNBA, NCAA and FIBA markets for OddsShopper and other sites. However, Isaiah’s favorite sport to follow is auto racing, and you can usually find him watching NASCAR or IndyCar on Sundays. He will be a fan of Team Penske and Ford Performance until the end of time. Isaiah graduated with a bachelor’s degree in history from Emory University and briefly attended Vanderbilt Law School before dropping out to work at OddsShopper.

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