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Statsational WTA Model Australia Open January 16, 2024

John Alesia
John Alesia

We will add new sports and models as we continue to build the app and make it more robust. While our developers work on that, we want to give you as much information as possible via content and articles.

I will post my models for upcoming Tennis matchups as often as possible. Be on the lookout during the day because there may be multiple tournaments worldwide.

Reading the model is very simple. I have the line posted at one of the sportsbooks. I will post which book the lines were taken from each day. I will then show what my model thinks the line should be. The last column is the most important. That is the edge I see based on the difference in my line and the bettable line.

The natural reaction would be to be all lines with an edge. I tend to be slightly conservative and look for a 5% edge or greater to make a wager. With tennis (and soccer) I tend to be a bit leery of very large edges. 15-20% or more can mean there is something the model is not picking up, perhaps an injury or some pretty sharp bettors pushing the line to the side we are showing as a high negative edge. This could be a good fade opportunity. That is, betting against the player we show to have an edge.

You should all play around with these and track them yourselves. See if you are seeing those with a great edge losing often.

On matches where we see an edge, but the line is very high, I sometimes like to bet those on the spread line. Preferably sets, but you may also look at the game spread line. The reason for this is a high unlikelihood that the big dog wins the match, but there may be value in betting on the spread. You can split the bet up and do both as well.

Today's lines are taken from Draftkings.

January 16

Players

Actual Line

Sharp App Line

EDGE

Sloane Stephens

-210

-285

6%

Olivia Gadecki

170

285

-11%

Players

Actual Line

Sharp App Line

EDGE

Peyton Stearns

260

560

-13%

Daria Kasatkina

-330

-560

8%

Players

Actual Line

Sharp App Line

EDGE

Elisabetta Cocciaretto

-130

-148

3%

Lulu Sun

110

148

-7%

Players

Actual Line

Sharp App Line

EDGE

Renata Zarazua

130

242

-14%

Martina Trevisan

-155

-242

10%

Players

Actual Line

Sharp App Line

EDGE

Iga Swiatek

-3500

-1492

-4%

Sofia Kenin

1200

1492

-1%

Players

Actual Line

Sharp App Line

EDGE

Danielle Collins

-225

-223

0%

Angelique Kerber

175

223

-5%

Players

Actual Line

Sharp App Line

EDGE

Greet Minnen

190

149

6%

Clara Tauson

-235

-149

-10%

Players

Actual Line

Sharp App Line

EDGE

Lin Zhu

-340

-236

-7%

Oceane Dodin

265

236

2%

Players

Actual Line

Sharp App Line

EDGE

Emma Navarro

-215

-227

1%

Xiyu Wang

175

227

-6%

Players

Actual Line

Sharp App Line

EDGE

Camila Giorgi

250

142

13%

Victoria Azarenka

-320

-142

-17%

Players

Actual Line

Sharp App Line

EDGE

Jelena Ostapenko

-650

-1013

4%

Kimberly Birrell

450

1013

-9%

Players

Actual Line

Sharp App Line

EDGE

Aleksandra Krunic

650

614

1%

Clara Burel

-1100

-614

-6%

Players

Actual Line

Sharp App Line

EDGE

Katie Boulter

-155

-105

-9%

Yue Yuan

130

105

5%

Players

Actual Line

Sharp App Line

EDGE

Cristina Bucsa

-140

-137

-1%

Anna Blinkova

115

137

-4%

Players

Actual Line

Sharp App Line

EDGE

Yafan Wang

215

257

-4%

Sorana Cirstea

-270

-257

-1%

Players

Actual Line

Sharp App Line

EDGE

Qinwen Zheng

-525

-603

2%

Ashlyn Krueger

390

603

-6%

Players

Actual Line

Sharp App Line

EDGE

Emma Raducanu

-310

-105

-24%

Shelby Rogers

245

105

20%

Players

Actual Line

Sharp App Line

EDGE

Elena Rybakina

-650

-391

-7%

Karolina Pliskova

475

391

3%

Players

Actual Line

Sharp App Line

EDGE

Petra Martic

-140

-108

-6%

Ajla Tomljanovic

115

108

2%

Players

Actual Line

Sharp App Line

EDGE

Rebecca Marino

800

1426

-5%

Jessica Pegula

-1400

-1426

0%

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