[h=1]NFL betting value in Week 12[/h][h=3]Playing underdogs with against-the-spread win rates of 25 percent or less[/h]
By [FONT=Helvetica, Arial, sans-serif]PJ Walsh[/FONT] | Sports Insights
ESPN INSIDER
Last week, we returned to a staple of our contrarian betting strategy, the 80/20 betting system, and took advantage of the value created by one-sided public betting. Despite an ugly result regarding our Philadelphia-Green Bay play, the other two matchups -- St. Louis (plus-9.5) vs. Denver and Tennessee (plus-5.5) vs. Pittsburgh -- covered, putting us at 2-1 against the spread for the week while improving our 2014 season record to 19-13 ATS for a 59.4 percent win rate.
Looking ahead to Week 12, we'll continue to focus on contrarian betting by backing teams that have performed poorly ATS through the first half of the season. Our working theory is that as a season progresses, fans and analysts "know" which teams are contenders while writing off current cellar dwellers. Recreational bettors have a similar mindset with their opinions based on ATS record as opposed to straight-up wins and losses.
With this theory in mind, I used our Bet Labs analysis software to develop an NFL betting system with a 57.4 percent ATS win rate and two matches for Week 12.
While constructing this system, I defined the second half of the NFL season as all regular-season games played from Week 10 on. With bye weeks starting in Week 4, beginning the analysis in Week 10 ensures that all teams have played at least eight games and are therefore at or past the halfway point of their seasons.
To create the system, I highlighted all games from Weeks 10 to 17 and determined that teams with an ATS win rate of 25 percent or less have won at a 57.4 percent rate ATS since 2005.
The table below summarizes the results:<offer></offer>
[h=4]Weeks 10-17, Since 2005[/h]
By [FONT=Helvetica, Arial, sans-serif]PJ Walsh[/FONT] | Sports Insights
ESPN INSIDER
Last week, we returned to a staple of our contrarian betting strategy, the 80/20 betting system, and took advantage of the value created by one-sided public betting. Despite an ugly result regarding our Philadelphia-Green Bay play, the other two matchups -- St. Louis (plus-9.5) vs. Denver and Tennessee (plus-5.5) vs. Pittsburgh -- covered, putting us at 2-1 against the spread for the week while improving our 2014 season record to 19-13 ATS for a 59.4 percent win rate.
Looking ahead to Week 12, we'll continue to focus on contrarian betting by backing teams that have performed poorly ATS through the first half of the season. Our working theory is that as a season progresses, fans and analysts "know" which teams are contenders while writing off current cellar dwellers. Recreational bettors have a similar mindset with their opinions based on ATS record as opposed to straight-up wins and losses.
With this theory in mind, I used our Bet Labs analysis software to develop an NFL betting system with a 57.4 percent ATS win rate and two matches for Week 12.
While constructing this system, I defined the second half of the NFL season as all regular-season games played from Week 10 on. With bye weeks starting in Week 4, beginning the analysis in Week 10 ensures that all teams have played at least eight games and are therefore at or past the halfway point of their seasons.
To create the system, I highlighted all games from Weeks 10 to 17 and determined that teams with an ATS win rate of 25 percent or less have won at a 57.4 percent rate ATS since 2005.
The table below summarizes the results:<offer></offer>
[h=4]Weeks 10-17, Since 2005[/h]
Team ATS Win Rate | ATS Record | Units Won | ROI |
---|---|---|---|
25 percent and less | 62-46 (57.4 percent) | +12.34 units | +11.4 percent |
* Closing lines from Pinnacle were used to determine ATS records, units won and ROI. ** Units Won is the amount of money a betting system has won or lost after factoring in the vig. In the example above, a $100 bettor would have won $1,234 ($100 x 12.34 units) following the system. *** To calculate ROI, the return of an investment (or in this case, the profit earned from a sports betting system) is divided by the cost of the investment. |