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The First Wager of this Season Explained

The system has made it's first wager recommendation for this season. Let's look into some of it's reasoning ...

The First Wager of this Season Explained

Last season, the system evaluated 285 games over the course of the 2025 regular season and playoffs. It identified 156 wagering opportunities (roughly 55% of all games). The results were 95 wins, 59 losses and 2 ties (pushes). All of these opportunities and subsequent wager recommendations were the result of three steps in our process:

  • Spread Prediction : The system considers a large number of factors to come up with its own predicted spread. Any time this predicted spread differs significantly from a spread offered by one of the sportsbooks, we look to make a wager.
  • Wager Sizing : This is also known as "Dynamic Stake Optimization". This is where we use data from multiple machine learning models trained on NFL data going back to the 2000 season to adjust the size of the wager.
  • Wager Timing : The system has several rules not just for what to bet on, how much to bet, but also when to bet. A general rule of thumb is that the system prefers to bet on favorites early, while waiting on underdog bets till as long as possible before kickoff.

    The first wagering recommendation happens to be for the first game of the year, which features a rematch of the two teams from February's Superbowl, the Seattle Seahawks and the New England Patriots. This seems like a situation that could become more of a trend in the future, but looking back, there has only been 2 other occasions where the teams in the previous Superbowl have faced each other in the opening game of week 1 the following season:

  • 1970: Kansas City Chiefs vs. Minnesota Vikings (following Super Bowl IV)
  • 2016: Denver Broncos vs. Carolina Panthers (following Super Bowl 50)
  • 2026: Seattle Seahawks vs. New England Patriots (following Super Bowl LX)

    And in terms of a Superbowl rematch taking place in the following regular season, there have been 10 times in the past:

  • 1970 (Week 1): Minnesota Vikings 27, Kansas City Chiefs 10 (Vikings revenge)
  • 1977 (Week 14): Oakland Raiders 35, Minnesota Vikings 13 (Raiders repeat)
  • 1993 (Week 2): Buffalo Bills 13, Dallas Cowboys 10 (Bills revenge)
  • 1997 (Week 10): Green Bay Packers 15, New England Patriots 10 (Packers repeat)
  • 2014 (Week 3): Seattle Seahawks 26, Denver Broncos 20 (OT) (Seahawks repeat)
  • 2016 (Week 1): Denver Broncos 21, Carolina Panthers 20 (Broncos repeat)
  • 2017 (Week 7): New England Patriots 23, Atlanta Falcons 7 (Patriots repeat)
  • 2021 (Week 4): Tampa Bay Buccaneers 19, Kansas City Chiefs 17 (Buccaneers repeat)
  • 2023 (Week 11): Philadelphia Eagles 21, Kansas City Chiefs 17 (Eagles revenge)
  • 2024 (Week 7): Kansas City Chiefs 28, San Francisco 49ers 18 (Chiefs repeat)
  • 2026 (Week 1): New England Patriots @ Seattle Seahawks (?)

    So, the previous Superbowl winner is 7-3 in these regular season rematches.

    When it comes to evaluating the predicted spread, our system uses a large number of situational factors (see "Game Factors " section for this game. In addition to things like the teams' power ratings, injuries and home field advantage, our system has also identified these factors:

  • NE : Same turf type (outdoor) : 0.2
  • SEA : Different conferences : 0.2
  • SEA : Super Bowl winner first game : 0.8
  • SEA : Super Bowl loser first game : 0.8
  • SEA : 2000+ mile travel (2483 miles) : 0.2
  • SEA : Night game penalizes Eastern teams : 1.2

    The system does have a bias for previous Superbowl winners and a bias against previous Superbowl losers. In this game, these two compound. We can see NE getting a small advantage for playing an away game on the same turf as its own home stadium. However, NE also suffers some penalties for travelling over 2,000 miles as well as playing a night game across the country. As a result of all of the factors the system looks at, it has arrived at a predicted spread of SEA -8.3. This greatly differs from what we are seeing the majority of the sportsbooks at right now, which is SEA -3.5. Given that difference, the "Opportunity Rating" for this game is 3 stars (out of 3). In terms of bet sizing, we take the Opportunity Rating and adjust it up or down by the patterns we identify in our machine learning models (see "Probabilities / Simulations" section of this game). Given the models see a better than 70% chance for SEA to cover (71%) and a chance for a SEA blowout over 30% (36%), the "Wager Rating" was incremented from a 3.0 to a 4.0. This means, we recommend a wager of 4% of your total bankroll (4 units).

    As mentioned earlier, the system has a number of timing rules in place that have to do with underdogs, favorites as well as uncertainty around injury designations. For this game, there were no injury uncertainties for any major players to delay a wager on a favorite. At the time the wager was placed, the moneyline bet was slightly more attractive in terms of odds / juice than the spread bet. So the system's wager is on the SEA moneyline for this game.

    It's worth noting that the betting analysis process continues to run for all games right up until kickoff and that factors can change the predicted spread and sportsbooks will continue to adjust their lines. So at present, the "Our Recommendation" section is recommending the spread bet of SEA -3.5. What this means is that from an odds standpoint, these two wagers are close. Whether you choose spread or moneyline has to do with your own personal risk aversion.

    We hope this was helpful in explaining some of the inner workings of how the system evaluates opportunities and recommends wagers. We need to keep a few things in mind here. This is just one game. Wagering over the course of the season is more akin to a marathon that a sprint. Also, week 1 every year is notoriously difficult to predict and full of surprises that are often just part of week 1 and not a larger trend.

    Hope you have a great time watching this game!