ITF & Challenger Tennis Picks — August 18, 2026

You have 30 ITF and Challenger matches on the ITF & Challenger Tennis picks August 18, 2026 board. The day leans heavily toward short-priced favorites, with model edges ranging from 78% to 92% across the slate. Several 5-star selections stand out at the top of the card where ranking gaps and surface history align strongly. ITF & Challenger Tennis picks today reward disciplined sizing on the clearest mismatches rather than chasing longshots. Lower-tier events remain high-variance, so focus on the highest-confidence lines and keep individual stakes modest relative to your bankroll.

Sijia Wei vs Liuyan An — Sijia Wei ML

Back Sijia Wei at -3000. The model assigns 92% confidence on the basis of a massive ranking differential and Wei’s dominant recent results on the surface. Liuyan An has shown little ability to compete at this level, making the heavy price a low-variance play when bankroll management is prioritized.

Oriana Gniewkowska vs Gina Feistel — Gina Feistel ML

Take Gina Feistel at -5000. The 92% model edge reflects Feistel’s superior ranking and consistent win rate against lower-tier opponents. Gniewkowska lacks the tools to threaten, so the price reflects the expected outcome.

Lucia Llinares Domingo vs Yuliya Hatouka — Yuliya Hatouka ML

Play Yuliya Hatouka at -3000. Model confidence sits at 92% driven by ranking gap and surface form. Domingo has struggled to win sets against comparable competition this season.

Giannicola Misasi vs Matei Marius Partal — Giannicola Misasi ML

Side with Giannicola Misasi at -3000. The 91% model rating highlights Misasi’s clear ranking advantage and strong ITF M15 record. Partal has not shown the consistency needed to upset.

Gaeul Jang vs Nastasja Schunk — Nastasja Schunk ML

Back Nastasja Schunk at -2500. Model confidence reaches 91% on Schunk’s superior ranking and surface metrics. Jang faces a steep climb in this matchup.

Adam Gabor Szoke vs Leonardo Angeloni — Leonardo Angeloni ML

Take Leonardo Angeloni at -2500. The 89% model edge stems from ranking differential and recent form on the surface. Szoke has limited success against this caliber.

Charles Broom vs Filip Peliwo — Charles Broom ML

Play Charles Broom at -1300. Model confidence is 89% based on Broom’s stronger ranking and head-to-head surface results. Peliwo’s upside remains limited here.

Steffan Van Weldam vs Thanaphat Boosarawongse — Thanaphat Boosarawongse ML

Back Thanaphat Boosarawongse at -2000. The 88% model rating reflects ranking gap and surface win rate. Van Weldam has struggled to reach this level of competition.

Alexia-Shara Iancu vs Maria Oliver Sanchez — Maria Oliver Sanchez ML

Take Maria Oliver Sanchez at -1400. Model confidence stands at 88% on Sanchez’s ranking edge and consistent results. Iancu faces a difficult task.

Martin Muller vs Karlo Kajin — Karlo Kajin ML

Side with Karlo Kajin at -1600. The 88% model edge is driven by ranking and surface metrics. Muller has not demonstrated the ability to compete at this price.

Zoziya Kardava vs Ariadna Garcia-Patron Canals — Zoziya Kardava ML

Back Zoziya Kardava at -1400. Model confidence is 87% based on ranking differential. Garcia-Patron Canals lacks recent results against comparable players.

Oliver Tarvet vs John Echeverria — Oliver Tarvet ML

Take Oliver Tarvet at -1000. The 87% model rating reflects Tarvet’s ranking advantage and surface form. Echeverria remains an underdog in this spot.

Gabriele Maria Noce vs Patrick Jozwicki — Gabriele Maria Noce ML

Play Gabriele Maria Noce at -1300. Model confidence reaches 86% on Noce’s ranking and recent results. Jozwicki has limited upside.

Xinyu Gao vs Julia Adams — Xinyu Gao ML

Back Xinyu Gao at -1100. The 86% model edge stems from ranking gap and surface metrics. Adams faces a steep challenge.

Mattias Pisanu vs Jonas Gundacker — Jonas Gundacker ML

Take Jonas Gundacker at -1400. Model confidence is 86% based on Gundacker’s ranking and form. Pisanu has struggled against this level.

Sunam Jeong vs Margot Phanthala — Sunam Jeong ML

Side with Sunam Jeong at -1300. The 86% model rating reflects Jeong’s ranking edge. Phanthala lacks consistent results here.

Franziska Sziedat vs Cristina Pescucci — Franziska Sziedat ML

Back Franziska Sziedat at -1100. Model confidence stands at 86% on Sziedat’s ranking and surface record. Pescucci remains an underdog.

Amelia Paszun vs Sara Husar — Amelia Paszun ML

Take Amelia Paszun at -1000. The 86% model edge is driven by ranking differential. Husar has shown limited success against this competition.

Iannis Miletich vs David Popa — Iannis Miletich ML

Play Iannis Miletich at -1300. Model confidence is 85% based on Miletich’s ranking and form. Popa faces a clear deficit.

Pavel Skvortcov vs Andrea Paolini — Andrea Paolini ML

Back Andrea Paolini at -1300. The 85% model rating reflects Paolini’s ranking advantage. Skvortcov has limited tools in this matchup.

Daria Kuczer vs Megan Heuser — Daria Kuczer ML

Take Daria Kuczer at -900. Model confidence reaches 85% on Kuczer’s ranking and surface metrics. Heuser remains an underdog.

Merel Hoedt vs Vivian Wolff — Vivian Wolff ML

Side with Vivian Wolff at -750. The 84% model edge stems from ranking gap. Hoedt has struggled to compete at this level.

Oskar Jansson vs Eric Ahren Moonga — Oskar Jansson ML

Back Oskar Jansson at -900. Model confidence is 83% based on Jansson’s ranking and recent form. Moonga faces a steep task.

Tilen Kovac vs Ivan Biletic — Ivan Biletic ML

Take Ivan Biletic at -850. The 82% model rating reflects Biletic’s ranking edge. Kovac has limited results against this caliber.

Alejandro Mateo Berge Nourescu vs Robert Guna — Robert Guna ML

Play Robert Guna at -850. Model confidence stands at 82% on Guna’s ranking and surface record. Nourescu remains an underdog.

Samuele Seghetti vs Gianmarco Ferrari — Gianmarco Ferrari ML

Back Gianmarco Ferrari at -750. The 82% model edge is driven by ranking differential. Seghetti has shown limited success here.

Sergi Perez Contri vs Pablo Aunion — Sergi Perez Contri ML

Take Sergi Perez Contri at -750. Model confidence is 82% based on Contri’s ranking and form. Aunion faces a clear deficit.

Barbora Michalková vs Mayuka Aikawa — Mayuka Aikawa ML

Side with Mayuka Aikawa at -600. The 79% model rating reflects Aikawa’s ranking advantage. Michalková has struggled against this level.

Lorenzo Beraldo vs Pierluigi Basile — Pierluigi Basile ML

Back Pierluigi Basile at -600. Model confidence reaches 79% on Basile’s ranking and surface metrics. Beraldo remains an underdog.

Alex Rybakov vs Faris Zakaryia — Alex Rybakov ML

Take Alex Rybakov at -425. The 78% model edge stems from ranking gap. Zakaryia faces the steepest challenge on the board.

The board shows strong model consensus on favorites, yet lower-tier tennis carries inherent variance. Size bets conservatively and treat every edge as probabilistic rather than certain. Track results over time instead of chasing daily outcomes.