Bet Signals

Our Bet Signals are built on our proprietary betting trends data and can help you identify inefficiencies in the sports betting market. We track our Signals from over 50 different sportsbooks with archived records readily available.

There are three types of Signals – Contrarian Plays, Steam Moves and Reverse Line Movement alerts.

The Contrarian Plays represent the most lop-sided bet games of the day and are the backbone of our betting against the public philosophy. Our Steam Moves and Reverse Line Movement alerts are excellent sharp money indicators which are triggered automatically throughout the day based on historically profitable line movement patterns.

All three Bet Signals are included with a Sportsbook Insider Pro subscription. Once you’re signed up, you can get the Bet Signal alerts by text message and email and through our mobile app.

 How to win with Steam & Reverse Line Movement

Reverse Line Movement is the most innovative and groundbreaking bet signal we’ve found. The Reverse Line Movement strategy is an alert-based feature that is triggered automatically when the betting line (Spread, Moneyline, or O/U) moves in the opposite direction of the betting percentages. We use our massive database of betting percentage data and betting line movement to find the optimal triggering formula. The Reverse Line Movement alert is designed to help members notice unusual betting line movement and quickly capitalize on it.

Betting line movement can happen for many reasons; injuries, weather, etc., but line movement that shifts against the betting percentages is an excellent indicator of Smart Money. For example, if only 23% of the public is betting on NYJ +7, but the line moves to NYJ +6, we will trigger a Reverse Line Movement alert. You would then want to take NYJ +7 before the rest of the sports betting market has a chance to adjust their odds.

NFL Reverse Line Movement
2017-18 8-2=80.0% +5.2 units
2016-17 40-23=63.5% +10.6 units
2015-16 40-23=63.5% +12.8 units
2014-15 30-22=57.7% +4.8 units
2013-14 31-14=68.9% +12.5 units
2012-13 14-6=70.0% +7.0 units
2011-12 34-23=59.6% +8.0 units
2010-11 31-15=67.4% +12.8 units
2009-10 37-20=64.9% +14.5 units
2008-09 31-18=63.3% +11.3 units
2007-08 21-18=53.8% +7.0 units
2006-07 2-1=66.7% +0.8 units
2006 13-4=76.5% +9.0 units
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NBA Reverse Line Movement
2017-18 9-7=56.3% +1.2 units
2016-17 132-100=56.9% +20.0 units
2015-16 49-32=60.5% +12.5 units
2014-15 26-16=61.9% +7.5 units
2013-14 49-34=59.0% +10.5 units
2012-13 16-11=59.3% +3.7 units
2011-12 53-44=54.6% +4.3 units
2010-11 102-86=54.3% +6.7 units
2009-10 49-29=62.8% +15.6 units
2008-09 24-10=70.6% +12.0 units
2007-08 41-28=59.4% +10.8 units
2006-07 10-6=62.5% +3.2 units
2006 6-3=66.7% +2.7 units
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MLB Reverse Line Movement
2017 48-29=62.3% +30.8 units
2016 146-173=45.8% +22.2 units
2015 166-155=51.7% +48.8 units
2014 17-4=81.0% +16.1 units
2013 64-43=59.8% +30.6 units
2012 54-45=54.5% +13.6 units
2011 32-29=52.5% +13.9 units
2010 40-37=51.9% +12.5 units
2009 120-133=47.4% +21.5 units
2008 176-188=48.4% +51.6 units
2007 150-166=47.5% +48.4 units
2006 41-29=58.6% +11.7 units
2006 15-6=71.4% +10.7 units
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NCAAF Reverse Line Movement
2017-18 8-2=80.0% +5.2 units
2016-17 22-12=64.7% +7.6 units
2015-16 48-41=53.9% +2.3 units
2014-15 69-43=61.6% +19.0 units
2013-14 29-16=64.4% +10.2 units
2012-13 23-14=62.2% +7.2 units
2011-12 34-16=68.0% +15.1 units
2010-11 54-42=56.3% +7.1 units
2009-10 65-47=58.0% +15.0 units
2008-09 41-25=62.1% +12.2 units
2007-08 44-27=62.0% +13.6 units
2006-07 26-20=56.5% +3.7 units
2006 0-1=0.0% -1.0 units
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NCAAB Reverse Line Movement
2016-17 118-94=55.7% +8.6 units
2015-16 35-19=64.8% +12.9 units
2014-15 45-31=59.2% +9.9 units
2013-14 76-53=58.9% +16.1 units
2012-13 97-78=55.4% +14.4 units
2011-12 6-2=75.0% +3.5 units
2010-11 17-8=68.0% +7.5 units
2009-10 11-4=73.3% +6.0 units
2008-09 93-66=58.5% +18.5 units
2007-08 118-87=57.6% +20.3 units
2006-07 54-45=54.5% +27.2 units
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NHL Reverse Line Movement
2017-18 1-1=50.0% +0.6 units
2016-17 84-85=49.7% +12.8 units
2015-16 33-32=50.8% +7.6 units
2014-15 14-7=66.7% +10.4 units
2013-14 61-72=45.9% +15.4 units
2012-13 27-15=64.3% +14.5 units
2011-12 38-27=58.5% +17.1 units
2010-11 23-21=52.3% +10.2 units
2009-10 23-9=71.9% +21.0 units
2008-09 34-35=49.3% +18.5 units
2007-08 79-92=46.2% +26.6 units
2006-07 61-67=47.7% +25.7 units
2006 4-3=57.1% +2.8 units
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 How to win with Steam & Reverse Line Movement

The Steam Move betting strategy is an alert-based feature that is triggered whenever there is a sudden drastic and uniform line movement across the entire sports betting marketplace. What makes this strategy beneficial is that we track which sports book triggered the “Steam Move”, as well as each sportsbooks’ overall record when triggering such a move. This enables our members to better evaluate the profitability of following the move; or better yet, profiting from betting against Steam Moves.

Some sportsbooks are inherently sharper than others because they cater to a special kind of sports bettor: “wiseguys”, “sharps”, and “betting syndicates.” These are the types of players or groups that place larger $25-$100K wagers, causing the market to move.

NFL Steam Moves
2017-18 3-0=100.0% +2.7 units
2016-17 42-20=67.7% +17.8 units
2015-16 21-12=63.6% +7.2 units
2014-15 27-16=62.8% +7.6 units
2013-14 19-7=73.1% +10.0 units
2012-13 14-6=70.0% +6.4 units
2011-12 13-3=81.3% +8.8 units
2010-11 12-6=66.7% +5.1 units
2009-10 31-19=62.0% +8.4 units
2008-09 18-10=64.3% +6.8 units
2007-08 6-2=75.0% +3.6 units
2006-07 13-2=86.7% +11.0 units
2005-06 1-1=50.0% 0.0 units
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NBA Steam Moves
2017-18 1-0=100.0% +0.9 units
2016-17 402-339=54.3% +23.1 units
2015-16 150-118=56.0% +20.0 units
2014-15 313-252=55.4% +32.5 units
2013-14 68-49=58.1% +12.8 units
2012-13 269-226=54.3% +16.2 units
2011-12 49-31=61.3% +13.9 units
2010-11 179-134=57.2% +27.5 units
2009-10 119-95=55.6% +13.2 units
2008-09 16-6=72.7% +8.5 units
2007-08 57-34=62.6% +17.8 units
2006-07 145-127=53.3% +18.0 units
2005-06 35-31=53.0% +4.0 units
2004-05 0-1=0.0% -1.0 units
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MLB Steam Moves
2017 241-206=53.9% +26.7 units
2016 642-606=51.4% +38.4 units
2015 583-507=53.5% +77.4 units
2014 112-80=58.3% +27.3 units
2013 726-677=51.7% +29.6 units
2012 611-584=51.1% +25.6 units
2011 363-321=53.1% +30.2 units
2010 341-306=52.7% +29.5 units
2009 542-491=52.5% +45.6 units
2008 126-100=55.8% +21.1 units
2008 191-156=55.0% +21.1 units
2007 93-78=54.4% +16.1 units
2006 19-5=79.2% +14.0 units
2005 1-0=100.0% +1.0 units
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NCAAF Steam Moves
2017-18 5-0=100.0% +4.5 units
2016-17 159-114=58.2% +29.9 units
2015-16 53-36=59.6% +12.2 units
2014-15 23-9=71.9% +11.8 units
2013-14 24-7=77.4% +14.6 units
2012-13 18-10=64.3% +6.3 units
2011-12 77-58=57.0% +11.4 units
2010-11 56-40=58.3% +10.8 units
2009-10 165-128=56.3% +21.1 units
2008-09 128-101=55.9% +15.0 units
2007-08 15-6=71.4% +7.6 units
2006-07 30-19=61.2% +11.0 units
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NCAAB Steam Moves
2016-17 63-44=58.9% +10.4 units
2015-16 73-39=65.2% +27.4 units
2014-15 184-143=56.3% +13.6 units
2013-14 148-104=58.7% +30.5 units
2012-13 149-101=59.6% +34.5 units
2011-12 65-35=65.0% +23.9 units
2010-11 122-92=57.0% +18.9 units
2009-10 180-139=56.4% +24.6 units
2008-09 59-35=62.8% +20.7 units
2007-08 153-117=56.7% +22.1 units
2006-07 122-93=56.7% +29.0 units
2005-06 33-18=64.7% +15.0 units
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NHL Steam Moves
2017-18 2-0=100.0% +1.2 units
2016-17 48-43=52.7% +6.4 units
2015-16 90-92=49.5% +9.3 units
2014-15 68-48=58.6% +19.2 units
2013-14 33-19=63.5% +7.6 units
2012-13 31-15=67.4% +16.0 units
2011-12 231-174=57.0% +54.0 units
2010-11 252-201=55.6% +47.6 units
2009-10 110-93=54.2% +10.8 units
2008-09 25-11=69.4% +9.1 units
2007-08 20-6=76.9% +13.7 units
2006-07 23-11=67.6% +12.0 units
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 How to Bet Against the Public

Every day we post the most lopsided games in terms of number of bets and percentage of bets. The contrarian betting strategy takes advantage of over-shaded lines and greedy sportsbooks. If a line looks too good to be true, it’s good to bet the other way because it consistently pays to bet against the public.

We’ve tracked the contrarian betting strategy since 2003 and as always, we let the results speak for themselves. We pioneered the use of betting percentage data from online sports books to bet against the public and our massive historical data sets supports the claim that fading the public is profitable. We release these plays at least 1 hour prior to game time.

NFL Contrarian
2017-18 5-3=62.5% +1.6 units
2016-17 31-37=45.6% -8.5 units
2015-16 38-32=54.3% +3.5 units
2014-15 29-28=50.9% -1.3 units
2013-14 31-24=56.4% +4.7 units
2012-13 28-26=51.9% -0.1 units
2011-12 25-26=49.0% -2.7 units
2010-11 31-25=55.4% +3.2 units
2009-10 31-31=50.0% -2.1 units
2008-09 27-33=45.0% -8.0 units
2007-08 28-25=52.8% +2.6 units
2006-07 36-15=70.6% +21.0 units
2005-06 26-27=49.1% -1.0 units
2004-05 33-35=48.5% -2.0 units
2003-04 27-19=58.7% +8.0 units
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NBA Contrarian
2016-17 83-69=54.6% +7.8 units
2015-16 81-64=55.9% +11.1 units
2014-15 55-43=56.1% +7.2 units
2013-14 62-51=54.9% +5.9 units
2012-13 106-91=53.8% +7.2 units
2011-12 129-97=57.1% +21.1 units
2010-11 96-76=55.8% +12.4 units
2009-10 112-116=49.1% -12.8 units
2008-09 146-148=49.7% -12.0 units
2007-08 143-136=51.3% -2.0 units
2006-07 128-115=52.7% +13.0 units
2005-06 111-94=54.1% +17.0 units
2004-05 148-120=55.2% +28.0 units
2003-04 97-77=55.7% +20.0 units
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MLB Contrarian
2017 147-150=49.5% +39.0 units
2016 137-170=44.6% +9.8 units
2015 189-238=44.3% +5.3 units
2014 178-230=43.6% +10.8 units
2013 125-189=39.8% -17.7 units
2012 194-293=39.8% +3.5 units
2011 168-213=44.1% +0.2 units
2010 200-265=43.0% +21.4 units
2009 207-248=45.5% +39.0 units
2008 213-257=45.3% +38.8 units
2007 190-251=43.1% +14.7 units
2006 182-275=39.8% -15.9 units
2005 194-276=41.3% +6.3 units
2004 169-220=43.4% +20.6 units
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NCAAF Contrarian
2017-18 12-13=48.0% -2.0 units
2016-17 62-46=57.4% +10.9 units
2015-16 52-48=52.0% -0.1 units
2014-15 44-27=62.0% +13.2 units
2013-14 45-42=51.7% -0.8 units
2012-13 39-39=50.0% -2.8 units
2011-12 34-42=44.7% -10.7 units
2010-11 42-24=63.6% +14.8 units
2009-10 45-35=56.3% +6.4 units
2008-09 47-42=52.8% +0.8 units
2007-08 34-29=54.0% +4.9 units
2006-07 33-22=60.0% +11.0 units
2005-06 32-26=55.2% +6.0 units
2004-05 30-21=58.8% +9.0 units
2003-04 21-16=56.8% +5.0 units
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NCAAB Contrarian
2016-17 116-105=52.5% +2.3 units
2015-16 159-173=47.9% -26.6 units
2014-15 63-46=57.8% +11.7 units
2013-14 93-110=45.8% -24.8 units
2012-13 128-128=50.0% -10.2 units
2011-12 140-141=49.8% -11.8 units
2010-11 94-88=51.6% -1.8 units
2009-10 100-93=51.8% +0.1 units
2008-09 120-131=47.8% -20.5 units
2007-08 108-108=50.0% -8.4 units
2006-07 108-113=48.9% -5.0 units
2005-06 103-79=56.6% +24.0 units
2004-05 124-106=53.9% +18.0 units
2003-04 115-98=54.0% +17.0 units
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NHL Contrarian
2016-17 42-76=35.6% -13.3 units
2015-16 44-57=43.6% +10.7 units
2014-15 31-60=34.1% -8.9 units
2012-13 85-139=37.9% -16.1 units
2011-12 129-148=46.6% +31.1 units
2010-11 76-118=39.2% -15.1 units
2009-10 94-103=47.7% +10.0 units
2008-09 113-159=41.5% -16.3 units
2007-08 135-170=44.3% +16.0 units
2006-07 72-121=37.3% -22.6 units
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