How to use contrarian betting strategy in NFL Week 1
David Solar
ESPN INSIDER
Always fade the public. It's Sports Insights' contrarian, yet highly profitable betting strategy. Whenever the public zigs, we zag.
In the sports betting marketplace, there are two types of bettors: "sharps" and "squares." Typically sharps are wise guys or betting syndicates who spread five- to six-figure bets across multiple sportsbooks. Widely respected, sharps are a smaller group who move lines across the market.
Most bettors can be classified as squares: recreational weekend warriors who place their wagers based on instinct, rather than data and analysis. These individuals overwhelmingly pound favorites and overs, which has historically created value on underdogs and unders.
Squares consistently overreact to recent results, such as teams coming off a blowout or on a prolonged streak. Oddsmakers can accurately anticipate the behavior of these bettors and shade their opening lines to force square bettors to take bad numbers when playing the popular side of a game. These shaded lines create additional value for contrarian bettors who go against the grain and take the underdog.
Every week in this column, we will examine some of the top historical betting trends, identify sharp money indicators and inform our readers about how to capitalize on public perception. We'll be your personal Jiminy Cricket, guiding bettors through the ins and outs of NFL betting.
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Last season our system picks combined to post a 31-25 (55.35 percent) against the spread (ATS) record, including a 26-21 ATS record during the regular season. This year we hope to continue those winning ways, and bring you inside the workings of the marketplace.
Our database includes valuable historical information such as NFL line data, public betting percentages, team and player stats, streaks, ATS stats, weather information and more. Using our Bet Labs data analysis software, users can apply hundreds of different filters to find historically profitable trends and quickly develop winning betting systems.
In our first analysis for the new season, we wanted to use this data to examine how bettors would overreact to the past season's results when placing their Week 1 bets. Although teams have made major moves from player personnel to coaching and strategy, bettors still overvalue high-performing teams -- specifically teams who made the playoffs in the previous season.
Since 2005, bettors would have gone 68-50 (57.6 percent) ATS by simply betting against every playoff team during Week 1. When their opponent missed the playoffs in the previous season, that record improves to 43-25 (63.2 percent) ATS.
While these results already provided a substantial edge, there was one more criterion to consider. Historically, underdogs have performed especially well in divisional matchups. The familiarity between teams levels the playing field and provides additional value on the team getting points.
This addition reduced our sample size substantially, but caused the return on investment (ROI) to nearly double. The table below summarizes the results of our analysis. (Units Won is the amount of money a betting system won or lost after factoring in juice. In the example below, a $100 bettor would have won $1,346 -- $100 x 13.46 units -- following the system.)
<aside class="inline inline-table" style="box-sizing: border-box; font-family: BentonSans, Arial, Helvetica, sans-serif; border: 0px; clear: both; margin: 6px 0px 18px; width: 570px; color: rgb(0, 0, 0); font-size: 16px; padding: 0px !important;">
David Solar
ESPN INSIDER
Always fade the public. It's Sports Insights' contrarian, yet highly profitable betting strategy. Whenever the public zigs, we zag.
In the sports betting marketplace, there are two types of bettors: "sharps" and "squares." Typically sharps are wise guys or betting syndicates who spread five- to six-figure bets across multiple sportsbooks. Widely respected, sharps are a smaller group who move lines across the market.
Most bettors can be classified as squares: recreational weekend warriors who place their wagers based on instinct, rather than data and analysis. These individuals overwhelmingly pound favorites and overs, which has historically created value on underdogs and unders.
Squares consistently overreact to recent results, such as teams coming off a blowout or on a prolonged streak. Oddsmakers can accurately anticipate the behavior of these bettors and shade their opening lines to force square bettors to take bad numbers when playing the popular side of a game. These shaded lines create additional value for contrarian bettors who go against the grain and take the underdog.
Every week in this column, we will examine some of the top historical betting trends, identify sharp money indicators and inform our readers about how to capitalize on public perception. We'll be your personal Jiminy Cricket, guiding bettors through the ins and outs of NFL betting.
<offer style="box-sizing: border-box;"></offer>
Last season our system picks combined to post a 31-25 (55.35 percent) against the spread (ATS) record, including a 26-21 ATS record during the regular season. This year we hope to continue those winning ways, and bring you inside the workings of the marketplace.
Our database includes valuable historical information such as NFL line data, public betting percentages, team and player stats, streaks, ATS stats, weather information and more. Using our Bet Labs data analysis software, users can apply hundreds of different filters to find historically profitable trends and quickly develop winning betting systems.
In our first analysis for the new season, we wanted to use this data to examine how bettors would overreact to the past season's results when placing their Week 1 bets. Although teams have made major moves from player personnel to coaching and strategy, bettors still overvalue high-performing teams -- specifically teams who made the playoffs in the previous season.
Since 2005, bettors would have gone 68-50 (57.6 percent) ATS by simply betting against every playoff team during Week 1. When their opponent missed the playoffs in the previous season, that record improves to 43-25 (63.2 percent) ATS.
While these results already provided a substantial edge, there was one more criterion to consider. Historically, underdogs have performed especially well in divisional matchups. The familiarity between teams levels the playing field and provides additional value on the team getting points.
This addition reduced our sample size substantially, but caused the return on investment (ROI) to nearly double. The table below summarizes the results of our analysis. (Units Won is the amount of money a betting system won or lost after factoring in juice. In the example below, a $100 bettor would have won $1,346 -- $100 x 13.46 units -- following the system.)
<aside class="inline inline-table" style="box-sizing: border-box; font-family: BentonSans, Arial, Helvetica, sans-serif; border: 0px; clear: both; margin: 6px 0px 18px; width: 570px; color: rgb(0, 0, 0); font-size: 16px; padding: 0px !important;">
CRITERIA | ATS RECORD | UNITS WON | ROI |
---|---|---|---|
Opponent made playoffs | 68-50 (57.6%) | +13.97 | +11.8% |
Team missed playoffs, opponent made | 42-25 (63.2%) | +15.02 | +22.1% |
Team missed, opponent made, divisional game | 21-6 (77.8%) | +13.46 | +49.8% |
* Closing lines from Pinnacle were used to determine records. |