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NFC futures betting: Using season win-total markets to build your ratings

Michael Zagaris / Getty Images Sport / Getty

If your head is spinning from the NFL news cycle, you're not alone. The dust has settled and we have more insight into the 2022 season, but are we really dying to get down on a win total priced at -110 that won't be paid out until January 2023?

We're still waiting to see where impact players will be drafted and what the schedule will look like, but that hasn't stopped oddsmakers from posting season win totals for almost every team.

NFL season win totals

TEAM WIN TOTAL OVER PRICE
Bills 11.5 -150
Buccaneers 11.5 +108
Packers 11 -114
Chiefs 10.5 -167
Cowboys 10.5 -104
Rams 10.5 +101
49ers 10 -134
Chargers 10 -114
Broncos 10 -114
Bengals 10 +111
Cardinals 9.5 -162
Ravens 9.5 -143
Colts 9.5 -125
Titans 9.5 -114
Vikings 9 -114
Dolphins 9 +104
Patriots 9 +116
Eagles 8.5 -134
Raiders 8.5 -114
Saints 8 +116
Steelers 7.5 -121
Commanders 7.5 +104
Giants 7 -134
Bears 7 -104
Jaguars 6.5 -114
Seahawks 6 -130
Panthers 6 -114
Lions 6 -104
Falcons 5.5 +101
Jets 5.5 +111
Texans 4.5 -114

(The Browns aren't listed due to the uncertainty around a potential suspension for Deshaun Watson.)

How to create initial ratings from win totals

In the AFC edition, we translated these win totals into point spreads and moneylines between the Bills at the top, the midlevel Raiders, and the cellar-dwelling Texans.

Now we'll take the numbers in the chart above and turn them into a rating-system starter kit with projected win percentages for the NFC teams.

TEAM WIN TOTAL PROJ. WIN%
Buccaneers 11.5 .664
Packers 11 .653
Cowboys 10.5 .617
Rams 10.5 .611
49ers 10 .603
Cardinals 9.5 .588
Vikings 9 .535
Eagles 8.5 .517
Saints 8 .482
Commanders 7.5 .436
Giants 7 .434
Bears 7 .411
Seahawks 6 .370
Panthers 6 .355
Lions 6 .353
Falcons 5.5 .323

As we know from the AFC edition, a projected win percentage of 60.3% indicates how likely the 49ers are to beat an average team, but what about an opponent above that 50% mark? That's where things get trickier. Let's project a San Francisco matchup with the division-rival Cardinals.

There's a 1.5% difference between the two teams, meaning that the 49ers have a 50.75% win probability to the Cardinals' 49.25%.

Here's the formula to determine the 49ers' 50.75% win probability:

  • (1- (49ers' rating - Cardinals' rating) / 2) + (49ers' rating - Cardinals' rating)
  • (1-(.603-.588) / 2 ) + (0.015)
  • .4925 + .015 = .5075

The coin-flip nature of this hypothetical neutral-site game produces a true moneyline split of SF -103 / ARI +103. Here's how the odds for that game might look after a sportsbook accounts for the straddle:

GAME SPREAD PRICE
49ers PK -113
Cardinals PK  -107

That's a relatively simple example - the 49ers and Cardinals are both wild-card teams that would have been widely rated as near equals.

Let's use another divisional rivalry, this time between a good team and a team that's presumably bad - the Cowboys and the Giants.

According to the win-total markets, the difference between Dallas and New York is 18.3% of win probability. Applying our formula, the Cowboys would win a neutral-site game 59.2% of the time this season.

That would suggest a true moneyline split of DAL -145/ NYG +145. Here's how the odds for that game might look after a sportsbook accounts for the straddle:

GAME MONEYLINE SPREAD
Cowboys -160 -3.5
Giants +140 +3.5

Whether you look at the win total or how the teams are depicted in a matchup, these two clubs are rated as closely as they have been in a few years, likely because of the Giants' coaching change and the Cowboys' salary-cap crunch.

This is a great example of how this exercise can let you work backward to illuminate how you feel about a team. If you like the Cardinals to win a coin-flip game with San Francisco, that's a clue that you might want to bet the over on their season win total. If you think the Giants are getting too much credit this offseason, you can fade their win total now or wait to bet against them during the season.

Matt Russell is a betting writer for theScore. If there's a bad beat to be had, Matt will find it. Find him on Twitter @mrussauthentic.

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