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Doug Drinen wrote this article 11 years ago, and it serves as a good reminder to always look at offensive numbers in the context of a player’s team. Yesterday, I looked at tackle leaders as a percentage of team tackles.  Today we will do the same thing with yards from scrimmage.

Arizona running back David Johnson led the NFL in yards from scrimmage last year with 2,118 yards. The Cardinals as a team gained 6,157 yards of offense (before deducting for sack yards lost), which means Johnson gained 34.4% of his team’s total output. That also led the league. However, Steelers RB Le’Veon Bell missed three games due to suspension and sat out a meaningless week 17 game.  Bell averaged 157 yards per game last year, the third-most in NFL history. He was responsible for 30.7% of the Steelers total yards from scrimmage last year, but on a pro-rated basis (i.e., multiplying that by 16/12), that jumps to an insane (although not historically extraordinary) 40.9%.

That’s the column the table is sorted by below. Here’s how to read Bell’s line. He gained 1,884 yards for Pittsburgh, while the Steelers as a team had 6,137 total yards. Bell therefore was responsible for 30.7% of Pittsburgh’s yards, but he only played in 12 games. On a pro-rated basis, he ranks first at 40.9%. The table below shows the top 75 leaders in this metric, minimum 6 games played: [continue reading…]

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538: Le’Veon Bell’s Historic Performance

Breaking news: Le’Veon Bell is really, really good.  In terms of yards from scrimmage, he had a top-10 performance on Sunday, which has catapulted him to a top-2 season, and into a top-1 career. Today at 538:

Bell’s average of 161.6 yards from scrimmage isn’t remarkable for 2016 alone. If it were to stand through the end of the regular season, Bell’s 2016 performance would rank as the second-highest single-season average since 1932.

This may be Bell’s best season, but he has been a yards from scrimmage monster for much of his career. In 45 career games, Bell has 3,830 rushing yards (85.1 per game) and 1,952 receiving yards (43.4 per game). That translates to 128.5 yards from scrimmage per game for his career, which would be the highest career average since 1932.

You can read the full article here.

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Was Walter Payton the biggest workhorse in NFL history? In 1977, he gained 43.5% of Chicago’s total offensive yards. The next year, it was 39.5%, and the year after that, it was 39.1%. Payton also was responsible for 37.8% of the Bears output in ’76, 36.2% of the team’s yards in ’84, and 35.8% of Chicago’s offense in 1980.

But wait, there’s more! In ’82 and ’85, Payton was responsible for 33.1% and 33.5% of his team’s offense, and in ’81 and ’83, it was 32.7% and 32.8%. For ten seasons, Payton was responsible for at least thirty-three percent of his team’s offense! And in 1986, he gained 30.6% of all Chicago yards.

Yesterday, we looked at the single-season leaders in percentage of team yards. Today, the career list, using a 100-95-90 weighting method. What’s that? To avoid giving too much credit to compilers, I did not assign full credit to each season, and instead used the following methodology:

1) Calculate the total yards from scrimmage by each player in each season since 1932.

2) Calculate the total team yards (excluding sacks) by that player’s team. Players who played for multiple teams in a season were therefore prejudiced by this methodology.

3) Calculated the percentage of team yards gained by each player in each season since 1932. This was the basis of yesterday’s post.

4) Order each player’s career from best season (per step 3) to worst.

5) Give each player 100% credit during his best season, 95% credit during his second best season, 90% during his third best, and so on. So for Payton, we give him 100% of 43.5%, 95% of 39.5%, 90% of 39.1%, 85% of 37.8%, and so on.

6) Sum the values in step 5 for each player for each season to get a career grade.

That career grade doesn’t mean much in the abstract — Payton’s grade is 318% — but when we order the list, it does provide some limited insight as to which players have been the biggest workhorses in NFL history. This is far from a perfect formula, but I do think it’s interesting. Note that I also performed the same analysis using a 100-90-80 method — to give even less value to compilers — and not a single player moved up or down in the top 15. The table below shows the top 150 players by this metric: [continue reading…]

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