Each week, this column will take a critical look at key statistical trends to highlight pass rushing and tackle matchups to exploit and avoid. We'll be heavily relying on another great feature at FBG this season, the IDP Matchup Spreadsheet that will be generated by Aaron Rudnicki. That spreadsheet will contain a number of weekly and weekly average statistical measures to help identify those defensive teams who are facing the best and worst opportunity as the season progresses. While this column will include two large tables of tackle and pass rush opportunity and matchup data, it's only a fraction of the data available in the spreadsheet. We hope that the Matchup Spreadsheet and this column will join John Norton's weekly IDP projections, Doug Drinen's Matchup Analyzer Tool and our customizable MyFBG function as useful tools to assist in making weekly line-up and waiver wire decisions.
Before we get to the hard data and matchup analysis, a quick explanation of the metrics we're using will probably be helpful. This column will be broken up into two primary sections - pass rushing matchups to exploit/avoid and tackle matchups to exploit/avoid. Each text section is followed by a table listing the relevant statistics and metrics driving our matchup decisions.
The pass rushing matchup table will include weekly averages of sacks, adjusted averages of sacks and quarterback hits and pass attempts faced. It will also have a column titled Pressure Applied, a metric we're introducing to show how often a team defense is generating pressure on the opposing quarterback. We'll be calculating Pressure Applied by dividing each team defense's sacks and quarterback hits by its total pass attempts faced. The same set of data will be provided and Pressure Allowed calculated for each team offense, to show which offenses are allowing pressure on their quarterback most often.
The tackle matchup table will include weekly averages of both rush and pass attempts faced, total offensive snaps faced and the percentage of rush vs pass attempts faced. It will also have a column titled Tackle Opportunity, a metric we introduced in mid-2007 to show how many plays a defense faced that could have ended in a solo tackle. We'll be calculating each team's Tackle Opportunity by adding all rush attempts, pass completions and sacks - the three plays that can end in a solo tackle outside of special teams and turnover plays. The same set of data will be provided and Tackle Opportunity calculated for each team's offense, to show which offenses are allowing the most tackle opportunity to opposing defenses.
We'll be highlighting the Pressure Applied/Allowed and Tackle Opportunity metrics with color codes showing the best and worst pass rush and tackle matchups. Expect to see lots of “good” and “bad” matchups early, as a relatively low sample size will show a lot of teams outside the historical standard deviations we'll be using to focus on the key matchups. While sample size will be a confounding issue during the early weeks, we'll still make every effort to show where the data looks meaningful. Without getting into a long discussion of statistics, we recognize that these metrics and tables will not be as predictive and reliable early in the season. We also acknowledge the noise within a set of unofficial statistics like solo tackles and quarterback hits. As the season progresses and the standard deviations of the data fall in line with prior seasonal averages, we expect that the data tables will be increasingly more reliable and useful.