2018 NFL Regular Season Win Report from Sports Data Query Group

2018 NFL Regular Season Win Report

• Last SEVEN Years RSW Lines and Results
• Divisional Rankings
• Divisional Match-Ups
• Complete Difficulty of Schedule Analysis
• RSW Selections from Past Seasons

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2018 Regular Season Win Report
  1. The Future Lines

Below are the consensus 2018 Regular Season Win (RSW) lines in the NFL on July 1st, 2018. These lines are what we used to perform the analysis in this report.

  1. 2018 Match-Up Analysis

In this section, we’ll examine each team’s schedule based on the level of their opponents.  We’ll look at both the divisional assignments and the wild card assignments.

  1. 2018 Schedule Analysis

It is no secret that the quality of a team’s opponents will be a big factor in determining the number of regular season wins they will get over a season.

  1. NFL RSW Results 2011-2017

As usual, we like to look at RSW results from previous seasons. The tables in this section on give the regular season win results from 2011 through 2017. The tables are ranked by RSW margin. That is, they are ranked by the difference between their RSW line and their actual regular season wins.  Teams that went over their RSW line are in the top section of the table and teams that are in bottom section of the table stayed under the total.  We’ll go over the seasons one at a time and then present a seven-season summary at the end.

NFL Betting Tips – NFL Betting Advice – NFL Sports Betting (Sports Betting Tips)

NFL Betting Tips, NFL Betting Advice and an overall look at NFL Sports Betting is the topic on this episode of Sports Betting Tips from the WagerTalk TV Studios in Las Vegas. WagerTalk.com TV host Kelly Stewart talks betting early season NFL football with Vegas handicapping experts Dave Cokin, Tony Finn, Teddy Covers and Marco D’Angelo. The WagerTalk panel share some NFL football betting tips for the recreational bettor that can be used to help have a more profitable football season.


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2018 NFL Regular Season Win Report

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Sports Data Query Group

We also investigate the technical circumstances of each team and game, searching for meaningful historical trends utilizing the SDQL. How teams have performed under certain conditions in the past, such as; after a loss in which their star was no the high scorer, after a game in which their star point guard committed five-plus turnovers or after two straight games in which 60%-plus of their baskets were assisted, can portend future outcomes. In addition to selectively using these established, simple single-team and single-factor angles, we have discovered and continue to develop our own unique and complex team and league-wide sports handicapping systems for employment in our arsenal. SDQL Guru’s SYSTEMS are the most POWERFUL technical handicapping tools in the industry.

Sports Data Query Group has 31 posts and counting. See all posts by Sports Data Query Group

Sports Data Query Group

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