I regularly post Strength of Schedule information on this page, pointing out which teams project to play the easiest and hardest schedules. Such postings often get a comment from a reader. Some feel such data is meaningless, while others seem to feel it’s a key component to a successful draft. So it’s appropriate, I think, to step in from time to time and attempt to answer that question.

When answering this kind of question, it’s best to look at a big set of data. That is, don’t look at just last year’s numbers. Findings become more relevant when you’re looking at more teams. The league went to 32 teams in 2002, so I will look at the numbers since that time. For each of those 13 seasons (416 overall) I have the expected scheduling numbers for each team – how it was EXPECTED to do – and I’ve got the numbers of how things actually turned out.

Sometimes I look at wins and losses on this kind of thing, but for today I’m going to look at points allowed. For each team, I’ve got the average number of points allowed by its 16 opponents. The more points allowed in games against other teams, the theory goes, the easier the schedule.

For starters, we can look at teams who entering seasons projected to play one of the four easiest schedules for that season. There are 52 of these teams – four for each of the 13 seasons.

With those numbers in front of me, I see that 10 of the 52 teams ended up in the reverse barometer class. That is, they were suppose to have easy schedules, but ended up having bottom-10 schedules (hard schedules). I’ve got those teams flagged with a black dot (•).

Just over half of the teams (28 of them), however, ended up having top-10 schedules. That is, they were supposed to have easy schedules, and they did. I’ve got those teams in bold. And the team remaining 14 teams (just over a quarter) had what I’ll call neutral schedules, ranking somewhere between 11th and 22nd. Not in the top 10, but not in the bottom 10 either. Those teams are in plain type.

TEAMS WITH TOP 4 "EASY" SCHEDULES
Teams were projected to play one of the 4 easiest schedules
How did it actually turn out?
YearTeamPointsActual rank
2002Jacksonville (1)21.2• 24th
2003Chicago (1)22.41st
2004Tampa Bay (1)22.92nd
2005Arizona (1)21.83rd
2006Pittsburgh (1)18.9• 31st
2007Carolina (1)21.815th
2008San Francisco (1)23.64th
2009Seattle (1)23.63rd
2010Washington (1)22.810th
2011Washington (1)22.912th
2012Atlanta (1)24.41st
2013Denver (1)23.216th
2014Indianapolis (1)22.815th
2002Pittsburgh (2)21.0• 27th
2003Seattle (2)21.84th
2004Denver (2)23.01st
2005Philadelphia (2)20.815th
2006Miami (2)20.0• 25th
2007Tampa Bay (2)22.74th
2008New England (2)23.09th
2009San Francisco (2)19.3• 31st
2010Dallas (2)22.413th
2011Tennessee (2)22.118th
2012New Orleans (2)22.1• 26th
2013Dallas (2)24.97th
2014Detroit (2)23.54th
2002Cincinnati (3)21.0• 26th
2003Oakland (3)21.69th
2004Tennessee (3)22.013th
2005St. Louis (3)21.82nd
2006Arizona (3)21.83rd
2007Atlanta (3)21.520th
2008Buffalo (3)23.45th
2009Arizona (3)20.3• 29th
2010San Francisco (3)22.812th
2011Miami (3)23.010th
2012Tampa Bay (3)23.39th
2013Kansas City (3)25.15th
2014Miami (3)21.6• 29th
2002Chicago (4)22.38th
2003St. Louis (4)22.13rd
2004Detroit (4)21.914th
2005Seattle (4)22.51st
2006Tennessee (4)19.7• 28th
2007Arizona (4)22.45th
2008Tampa Bay (4)23.91st
2009Minnesota (4)23.45th
2010Seattle (4)22.315th
2011NY Jets (4)22.416th
2012Carolina (4)23.012th
2013San Diego (4)24.310th
2014Houston (4)24.01st
AVG(52 teams)22.3

Now let’s flip it and look at the other end of the scale, looking at the teams that were suppose to have the hardest schedules. These are the four teams from each of those 13 seasons that were suppose to have the HARDEST schedules – 52 teams overall.

Of these 52 teams, only 9 ended up having top-10 schedules (easy schedules). That is, only 17 percent were able to turn the reverse barometer trick and flip from suppose to having a hard schedule and actually playing an easy schedule. Again the top-10 schedules are in bold.

In this 52-team group, 24 (almost half) ended up playing bottom-10 schedules. That is, they were supposed to play hard schedules, and that’s what they got. Hard schedules again come with the black dot.

The remaining 19 teams in this group, which is also a sizable chunk – about a third – ended up playing neutral, middle-of-the-pack schedules.

TEAMS WITH BOTTOM 4 "DIFFICULT" SCHEDULES
Teams were projected to play one of the 4 hardest schedules
How did it actually turn out?
YearTeamPointsActual Rank
2002St. Louis (32)21.517th
2003New Orleans (32)20.820th
2004Cincinnati (32)19.3• 31st
2005New Orleans (32)20.3• 23rd
2006Detroit (32)20.519th
2007Buffalo (32)22.19th
2008Detroit (32)20.6• 26th
2009Miami (32)22.317th
2010Cincinnati (32)19.8• 32nd
2011Detroit (32)23.19th
2012Cincinnati (32)22.814th
2013St. Louis (32)21.6• 29th
2014Denver (32)20.9• 31st
2002San Francisco (31)22.015th
2003Washington (31)19.4• 30th
2004Miami (31)20.4• 28th
2005Kansas City (31)20.716th
2006Tampa Bay (31)20.520th
2007NY Jets (31)21.716th
2008Cincinnati (31)19.2• 32nd
2009NY Jets (31)21.422nd
2010Cleveland (31)20.7• 28th
2011Minnesota (31)23.74th
2012Baltimore (31)22.2• 25th
2013New Orleans (31)22.0• 28th
2014Oakland (31)20.8• 32nd
2002Seattle (30)22.112th
2003Atlanta (30)20.222nd
2004Pittsburgh (30)20.2• 30th
2005NY Giants (30)21.26th
2006Oakland (30)21.111th
2007Miami (30)21.617th
2008Indianapolis (30)21.3• 24th
2009Denver (30)22.615th
2010Miami (30)20.8• 27th
2011Denver (30)23.47th
2012Buffalo (30)22.3• 23rd
2013Baltimore (30)24.59th
2014St. Louis (30)21.8• 27th
2002Kansas City (29)21.2• 23rd
2003Carolina (29)21.75th
2004Buffalo (29)20.4• 29th
2005NY Jets (29)20.519th
2006Baltimore (29)20.518th
2007Pittsburgh (29)23.12nd
2008Cleveland (29)19.3• 31st
2009New England (29)20.4• 28th
2010Pittsburgh (29)20.9• 24th
2011Carolina (29)23.28th
2012NY Giants (29)22.718th
2013Indianapolis (29)22.820th
2014Arizona (29)22.1• 25th
AVG(52 teams)21.4

Note that overall, the 52 teams that were suppose to play easy schedules ended up playing opponents that allowed 22.3 points per game in their games against other teams. That’s just short of 1 point more than the 52 teams that were suppose to play the hardest schedules, who finished at 21.4.

Those numbers are pretty firm, because they come from lots of data. There are 52 teams in each group, and for each one, the average comes from 16 teams playing in 240 other games. So it’s 12,480 easy-schedule opponents against 12,480 hard-schedule opponents.

There is a difference, it’s just not a big difference.

Entering a season, if you emphasize taking players from teams with easy schedules (top-4 schedules), you should come out about 1 point ahead of those who select only players from teams with bottom-4 schedules. But only a half point (per game) over teams built from average-schedule teams.

When drafting for strength of schedule, you’re never guaranteed a result. You can never enter a season knowing that a team will have an easy schedule, and that your team will benefit. But as you look at more teams and more years, it TENDS to play out that way.

Here are all 416 teams in the study, divided into 32 groups of 13 teams each. In this one, the teams that were supposed to have top-10 schedules are in bold. The teams that were supposed to have bottom-10 schedules come with the black dots. There is some separation, with more of the bolder teams appearing near the chart.

The “Difference” shows the average relative the overall scoring average of the 13 years. In a ballpark sense, it looks like if you try to latch onto an easy schedule, you can expect a payoff of about 2 percent. If you ignore schedule and select a bunch of guys on teams with hard schedules, it’s going to cost you about 2 percent in NFL points.

BEST SCHEDULING POSITIONS
ExpectedPointsAvg RkDiff
No. 422.69.2103.6%
No. 922.510.6103.2%
No. 622.511.2103.0%
No. 122.510.5102.9%
No. 322.213.2101.8%
No. 722.214.3101.7%
No. 2122.113.6101.4%
No. 522.114.1101.2%
No. 1322.113.8101.2%
No. 222.114.2101.0%
• No. 2522.014.7100.9%
No. 1821.916.7100.4%
No. 821.914.2100.2%
No. 1921.916.8100.1%
No. 1021.917.5100.1%
• No. 2821.816.899.8%
No. 1621.816.599.8%
• No. 3021.817.799.7%
No. 1421.817.199.6%
• No. 2621.718.599.5%
No. 1121.718.299.4%
No. 2021.618.699.0%
No. 1721.618.599.0%
No. 1521.617.899.0%
No. 1221.618.298.9%
• No. 2721.519.298.4%
No. 2221.518.898.4%
• No. 2921.419.298.2%
• No. 2321.321.297.7%
• No. 3221.221.397.1%
• No. 3121.122.896.7%
• No. 2421.122.996.7%