"791 points scored in Week 1 are most ever on Kickoff Weekend & 2nd-most for any week in NFL history (837, Week 12, 2008)" [recovered from Twitter; https://twitter.com/NFLfootballinfo/status/245488836669501441]

Certainly interesting, and those numbers are correct. It is a fact that there were 791 points scored this week, and it is a fact that 791 is the greatest number of points scored in an opening week. While these are undisputable facts, I come away from them with two major questions:

1) A league with more teams means more games per week and (all other things equal) more points per week. The number of teams has changed over time, and the NFL is about as large as it has ever been. Weeks later in the season also have teams on bye week, which means fewer games played per week. How would things look if we controlled for the number of teams in the league and number of games played by instead looking at the average points per game?

2) Is this week's increased scoring a high - but still normal - data point, attributable to normal fluctuations in score, or is this week's increased scoring far enough from the norm that we can justifiably speculate on differences in the league that might be driving that higher scoring?

Thinking about these things drove me to Google to try to find some data on historic scoring, and I luckily found a site where I could pull down some data. That site is Pro Football Reference:

http://www.pro-football-reference.com/

And it is AMAZING. It has pro football data back to the early days of the sport, and I could spend hours going through the site looking through all sorts of statistics. By the way, did you know that on December 8th, 1940, the Chicago Bears beat the Washington Redskins in that year's final championship with a score of 73-0, the largest blowout AND largest shutout in pro football history? Today I'm interested in scoring.

The Signora statistic above mentions that this week's 791 point total is the highest first week score in the history of the NFL. While the NFL does stretch back farther I'm going to look at things back to the start of the modern NFL (after the merger with the AFL in 1970). For now I also only want to look at regular season, so that we can get all the teams in there.

The first thing we can look at is a trend of average point production per game, by year. Keeping in mind that we only have one week for 2012 that gives us a graph that looks like this:

Hmm. Okay, that looks pretty steady. There are some dips here and there, notably one in the late 70s and one in the early 90s, but it looks like the average production for most games is right around 40 points. This week's average was just shy of 50 points (49.44).

Remember, though, that our data point for 2012 is just one week of games, and each of the other data points contains an entire year. We can use those years that contain a number of weeks (all but 2012) to calculate confidence intervals for those years, allowing us to see if this past week is a week that could reasonably occur in any given year. Putting those 95% confidence intervals on our above graph gives us another graph:

Okay, this is starting to get interesting. My initial inclination was that this past week wouldn't stand this far outside the norm, but you can see that this past week's average total score of 49.44 rests outside the 95% confidence intervals of every year since the start of the modern NFL. This would seem to give a bit more solid footing to those speculating on what might be driving this above average scoring.

Still, it's also the case that we can make this more specific than the above graphs. We know that this past week was week one of the season. The above charts compare last week to the average of all weeks in every given year, which is increasing the confidence in the annual mean (and thus reducing the size of the confidence intervals). What does last week look like when compared annually only with other week one games? Well, it looks like this:

The confidence intervals are now quite a bit larger because we are now averaging across individual games instead of across individual weeks. Regardless, now we're getting somewhere. The big spike there about a decade ago actually is a decade ago - in 2002 the average game score in week one was 49.25 (remember, this year was 49.44). The total number of points scored that week was 788 - only 3 points away from the scores of this week. In all there are a number of years that show up on that higher end, fairly close to this last week.

This raises a flag for me: week one scores in isolation look much more comparable to this past week's scores. Sure, this past week is on the higher end of those scores, but in general the scores are much more clustered together. A simple boxplot reveals that not only is the past week not an outlier in terms of weekly score, but also that only one year has been - and it's on the low end:

That point at the bottom is 1977, when the average total game score for week one was only 27.43 points. Five of the fourteen games were shutouts, and of the remaining, two losing teams made only a single field goal. That means the lowest scoring quarter of the teams that week (half of the teams in half of the games) put up a combined score of 6 points. Now THAT is an out of the ordinary week. This past week?

It looks like the bottom line on this one is that while this week is out of the ordinary in terms of all weeks in any given season, it's not that out of the ordinary when compared just to other first week scores. What would be really telling is if this trend continued. If we get the same kind of numbers for week two we might be looking at a trend. If we don't, we're likely to just be looking at the high end of normality. Hopefully I'll revisit it sometime later in the season.

There's something else that I hadn't thought about which occurred to me after seeing how the data was broken down on Pro Football Reference. That is: how does the overall trend of average scores per game by year hold up if you look at the points scored by the winning teams and losing teams separately? It could be that this week had a much larger number of blowouts (higher scores by winning teams), or a lot more close games (higher scores by losing teams), or somewhere in the middle (higher scores by both).

We can skip right to the graph complete with 95% confidence intervals:

Maybe I'll talk about that one a little later in the season as well. Consider the above a teaser.

Interesting breakdown. I think about this kind of stuff all the time when watching football, baseball, etc. It seems like the analysts (if you can call them that) are always focused on totals and almost never on averages. One place this has come up recently was with passing yards per season. The magical number for this seems to be 5,000. Before last year, there were two players who hit the mark - Marino and Brees. Last year three players eclipsed it IN ONE SEASON. People took this as good evidence that the recent rule changes have made it easier for quarterbacks (the same argument is being made in baseball for pitchers after the "steroid era"). With passing yards this doesn't make sense. We know that the length of NFL seasons has changed at different points in history. Wouldn't averages be a better metric? I don't doubt that you will still find very few people who average 312 yards a game, but I wonder if the number will be larger than people who have made the 5,000 yard mark. The real test will be whether anyone even gets close to the 5,000 yard mark this year. As you data suggests, few data points do not a trend make.

ReplyDeleteYeah, I see that a lot too - people are always focused on totals and never think of averages. Your example is a good one, and it would be fun to look at that in a future post.

DeleteThink about if, for example, the MLB added 20 extra games in each team's season. People would probably still be making a big fuss when someone hit 74 home runs.

Isn't it interesting that the winning and losing teams' scores in the last graph seem to trend together year-to-year (i.e., there appears to a be a correlation between winning and losing team average score)? What might that mean?

ReplyDeleteGood point - that's something interesting to check out for another week. It seems could almost be a little bit like rubber-band AI.

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