Grand Slam & Main Tour Tennis Picks — August 16, 2026

You have 30 matches to work through on the Grand Slam & Main Tour Tennis picks August 16, 2026 slate. The board shows a clear lean toward heavy favorites, especially in the Grand Slam events where several players sit at -1000 or shorter. Standout conviction plays today are Iga Swiatek and Mirra Andreeva, both carrying 92% model confidence and prices that reflect overwhelming market support. When you scan Grand Slam & Main Tour Tennis picks today, the data points to stacking the strongest favorites while treating mid-range edges as lower-volume spots. Focus on the highest-confidence lines where odds and model align rather than chasing longer shots.

Emiliana Arango vs Iga Swiatek — Iga Swiatek ML

Back Iga Swiatek at -5000. The model assigns this matchup a 92% probability for the heavy favorite, the highest figure on the board. Swiatek’s current form and ranking create a massive gap versus Arango that the market has priced accordingly. In this WTA 1000 contest the data shows little room for an upset, making the moneyline the cleanest play of the day.

Mirra Andreeva vs Oleksandra Oliynykova — Mirra Andreeva ML

Take Mirra Andreeva at -2500. The model rates her chances at 92%, matching the top confidence level of the slate. Andreeva’s ranking and recent results give her a decisive edge in this Grand Slam match, where the market has correctly identified the mismatch.

Sofia Kenin vs Marta Kostyuk — Marta Kostyuk ML

Play Marta Kostyuk at -1000. The model projects an 88% win rate, supported by her superior ranking and consistent hard-court results. In the Grand Slam setting the data favors Kostyuk to close out the match without extended trouble.

Iva Jovic vs Tamara Korpatsch — Iva Jovic ML

Bet Iva Jovic at -1000. Model confidence sits at 88%, reflecting a clear ranking advantage in this Grand Slam encounter. The market price aligns with the data edge, pointing to Jovic as the side with the higher probability of advancing.

Talia Gibson vs Aryna Sabalenka — Aryna Sabalenka ML

Choose Aryna Sabalenka at -750. The model gives her an 86% chance, backed by her top-tier ranking and head-to-head history. This Grand Slam matchup shows Sabalenka holding the stronger profile on paper and in the numbers.

Jaime Faria vs Ben Shelton — Ben Shelton ML

Take Ben Shelton at -650. The model confidence is 84%, driven by Shelton’s ranking edge in this WTA 1000 contest. The data supports the heavy price as the clearest side of the match.

Daniil Medvedev vs Marco Trungelliti — Daniil Medvedev ML

Back Daniil Medvedev at -650. Model confidence reaches 84% in this Grand Slam match, where Medvedev’s experience and ranking create the projected gap.

Lucrezia Stefanini vs Marie Bouzkova — Marie Bouzkova ML

Play Marie Bouzkova at -450. The model assigns 79% confidence, reflecting Bouzkova’s ranking advantage in the Grand Slam setting.

Aleksandar Kovacevic vs Brandon Nakashima — Brandon Nakashima ML

Select Brandon Nakashima at -400. Model confidence is 78% in this Grand Slam match, where Nakashima holds the clearer ranking edge.

Lorenzo Musetti vs Daniel Altmaier — Lorenzo Musetti ML

Bet Lorenzo Musetti at -375. The model rates this WTA 1000 matchup at 76% confidence for the favorite.

Casper Ruud vs Christopher O'Connell — Casper Ruud ML

Take Casper Ruud at -375. Model confidence stands at 76% in the Grand Slam encounter, aligning with Ruud’s ranking.

Elena Rybakina vs Taylor Townsend — Elena Rybakina ML

Choose Elena Rybakina at -350. The model gives 75% confidence in this Grand Slam match.

Sebastian Baez vs Learner Tien — Learner Tien ML

Play Learner Tien at -350. Model confidence is 75% in this WTA 1000 contest.

Ekaterina Alexandrova vs Anna Blinkova — Ekaterina Alexandrova ML

Back Ekaterina Alexandrova at -325. The model projects 74% confidence in the WTA 1000 match.

Liudmila Samsonova vs Coco Gauff — Coco Gauff ML

Take Coco Gauff at -325. Model confidence reaches 74% in this WTA event.

Botic van de Zandschulp vs Joao Fonseca — Joao Fonseca ML

Select Joao Fonseca at -300. The model assigns 73% confidence in the Grand Slam match.

Elina Svitolina vs Tereza Valentova — Elina Svitolina ML

Bet Elina Svitolina at -300. Model confidence is 73% in the WTA 1000 contest.

Madison Keys vs Daria Snigur — Madison Keys ML

Play Madison Keys at -275. The model gives 72% confidence in this Grand Slam matchup.

Pablo Carreno Busta vs Andrey Rublev — Andrey Rublev ML

Back Andrey Rublev at -230. Model confidence stands at 68% in the WTA 1000 match.

Ann Li vs Shuai Zhang — Ann Li ML

Take Ann Li at -225. The model rates this WTA 1000 contest at 67% confidence.

Anastasia Potapova vs Sloane Stephens — Anastasia Potapova ML

Choose Anastasia Potapova at -210. Model confidence is 66% in the Grand Slam setting.

Frances Tiafoe vs Lorenzo Sonego — Frances Tiafoe ML

Play Frances Tiafoe at -200. The model projects 64% confidence in this Grand Slam match.

Sara Bejlek vs Barbora Krejcikova — Barbora Krejcikova ML

Bet Barbora Krejcikova at -180. Model confidence reaches 63% in the WTA 1000 event.

Juan Manuel Cerundolo vs Arthur Rinderknech — Arthur Rinderknech ML

Select Arthur Rinderknech at -175. The model assigns 61% confidence in the Grand Slam contest.

Alex Michelsen vs Taylor Fritz — Taylor Fritz ML

Take Taylor Fritz at -165. Model confidence is 60% in this WTA 1000 matchup.

Xiyu Wang vs Leylah Annie Fernandez — Leylah Annie Fernandez ML

Back Leylah Annie Fernandez at -150. The model gives 57% confidence in the Challenger match.

Viktorija Golubic vs Janice Tjen — Janice Tjen ML

Play Janice Tjen at -135. Model confidence stands at 56% in the Grand Slam encounter.

Felix Auger-Aliassime vs Stefanos Tsitsipas — Felix Auger-Aliassime ML

Choose Felix Auger-Aliassime at -140. The model rates this WTA 1000 match at 56% confidence.

Francisco Cerundolo vs Nuno Borges — Nuno Borges ML

Bet Nuno Borges at -130. Model confidence is 55% in the Grand Slam setting.

Zizou Bergs vs Daniel Merida Aguilar — Daniel Merida Aguilar ML

Take Daniel Merida Aguilar at -125. The model projects 54% confidence in this Grand Slam match.

The board carries above-average conviction on the top 12 lines, all above 75% model confidence. Use smaller stakes on the lower-confidence selections and keep overall exposure modest. Model edges reflect probability, not certainty, so size bets according to your own bankroll limits and never risk more than you can afford to lose.