![]() ![]() Obviously less pressure is good for a QB, but this is a stat that takes on a lot more meaning when compared to some of the stats listed below (TTT, aDOT, AA%). He was pressured on only 29.1% of his dropbacks, which is a lower Pressure Rate than what 24 other QBs experienced. Their Adjusted Rushing Success Rate ranked 18th, so 17 teams were better and 14 were worse. He passed on 51% of 1st and 2nd downs which gives an Early Down Passing rank of 16th.ĪRSR - The Jags had an average run game to compliment his passing. Opponent Passing Defense ranked 9th which means only 8 QBs faced tougher opponents, based on passing EPA given up by the opponent defenses over the season.ĮDP - He led a relatively balanced offense. OPD - He faced harder than average opponent defenses. For Lawrence, looking at the metrics from left to right I know that: time to throw).įrom this dashboard, I can tell a lot about a QB’s season. Some numbers have no inherent good or bad values in isolation, but gain their meaning when compared to other numbers (e.g. Sack rate, for example, is better when the number is below the mean. Values above the mean are not necessarily “good”. Therefore, they are displayed on the y-axis as percentile scores (2), ranging from 0 - 100 and given a ranking (out of 32 QBs) to provide a sense of the level of performance. Beneath each metric label is his season total in that metric, but unless you are familiar with what is a “high” or “low” number for that measure, the values themselves can be pretty meaningless. The x-axis contains 23 different metrics (use the mouse-over text above the graph to get a definition of each one). ![]() The dashboard below summarizes all of his 2022 regular season games. The first QB the Colts will face this season is the Jaguars’ Trevor Lawrence. This is a chart that shows a variety of different metrics and how the QB performed in those measures relative to other 31 team QBs (1). When I analyze a QB, the first thing I look at it is what I call my QB dashboard. However, I’m going to split this first one of the 2023 season into multiple parts, so that I can explain in detail how to read these charts and why the measures are important. ![]() Normally, I publish these the day before the game and I keep the commentary to a minimum. This will use a lot of charts and metrics to describe things like the QB’s style of play, how well he has performed and how he achieved that performance. Thanks to the nflFastR project and NFL NextGen Stats for the timely sources of data.Įach week this season, I will publish an analysis of the opposing QB for the upcoming Colts game. ![]()
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