ATP Mens Tennis Betting Model Find Your Edge April 9,, 2024

The Soccer Model Is Now For Pro Members Only!!!

The process of reading the model is straightforward. I obtained the line from one of the sportsbooks and disclosed the source daily. Then, I present the model's estimation of the line. The most crucial aspect is the last column, which represents the edge I perceive based on the variance between my line and the bettable line. 

Naturally, one might bet on all lines with an edge. However, I adopt a slightly conservative approach and seek a 5% edge or higher before placing a wager. Regarding soccer (and tennis), I exercise caution with significant edges. A margin of 15-20% or more might indicate that the model is overlooking something, such as an injury or the influence of sharp bettors who have shifted the line in the opposite direction, resulting in a high negative edge. In such cases, it could be an opportunity to bet against the team that appears to have an edge—a strategy known as fading. 

I encourage you to experiment with these lines and keep track of your observations. Determine if those teams with a substantial edge tend to lose frequently. 

Occasionally, I favor placing bets on the spread line for matches where we identify an edge, but the line is set at a considerable value. The rationale behind this approach is that the underdog winning the match is highly unlikely, yet there might be value in betting on the spread. You can even divide your wager and place bets on both outcomes simultaneously.

Today's lines are taken from Draftkings

Players Actual Line Sharp App Line EDGE Tournament
Alex De Minaur -230 -165 -7% Monte Carlo
Stan Wawrinka 185 165 3% Clay
Players Actual Line Sharp App Line EDGE Tournament
Zhizhen Zhang -120 -108 -3% Monte Carlo
Marcos Giron 100 108 -2% Clay
Players Actual Line Sharp App Line EDGE Tournament
Sebastian Korda -110 163 -14% Monte Carlo
Alejandro Davidovich Fokina -110 -163 10% Clay
Players Actual Line Sharp App Line EDGE Tournament
Roberto Bautista Agut -145 114 -12% Monte Carlo
Facundo Diaz Acosta 120 -114 8% Clay
Players Actual Line Sharp App Line EDGE Tournament
Hubert Hurkacz -140 -240 12% Monte Carlo
Jack Draper 115 240 -17% Clay
Players Actual Line Sharp App Line EDGE Tournament
Miomir Kecmanovic 200 256 -5% Monte Carlo
Matteo Berrettini -250 -256 1% Clay
Players Actual Line Sharp App Line EDGE Tournament
Nicolas Jarry -165 -159 -1% Monte Carlo
Tomas Martin Etcheverry 135 159 -4% Clay
Players Actual Line Sharp App Line EDGE Tournament
Novak Djokovic -650 -812 2% Monte Carlo
Roman Safiullin 475 812 -6% Clay
Players Actual Line Sharp App Line EDGE Tournament
Gael Monfils -290 -182 -10% Monte Carlo
Jordan Thompson 230 182 5% Clay
Players Actual Line Sharp App Line EDGE Tournament
Borna Coric 100 -109 2% Monte Carlo
Jan Lennard Struff -120 109 -7% Clay
Players Actual Line Sharp App Line EDGE Tournament
Alexander Zverev -1000 -527 -7% Monte Carlo
Sebastian Ofner 700 527 3% Clay
Players Actual Line Sharp App Line EDGE Tournament
Arthur Fils 160 197 -5% Monte Carlo
Lorenzo Musetti -195 -197 0% Clay