ITF & Challenger Tennis Picks — September 08, 2026

You're reviewing 30 ITF & Challenger Tennis picks September 08, 2026 spread across Challenger and ITF M15/M25 events. The board shows a strong lean toward heavy favorites, with five matches carrying five-star conviction and model confidence above 85%. ITF & Challenger Tennis picks today highlight clear ranking and form gaps that the models have quantified, yet lower-tier tennis remains high-variance. Focus on the highest-rated selections where the edge is widest while keeping stakes modest across the full slate.

Ji Sung Nam vs Rei Sakamoto — Rei Sakamoto ML

Back Rei Sakamoto at -2500. The model assigns a 92% probability based on a massive ranking gap and dominant recent form. This five-star pick reflects the clearest mismatch on the board, where Sakamoto's level far exceeds the challenger. Expect the heavy favorite to close this quickly on current trajectory.

Aditya Vishal Balsekar vs Yuta Shimizu — Yuta Shimizu ML

Take Yuta Shimizu at -2500. The 91% model edge stems from similar ranking and surface-form advantages that have produced consistent results. Five-star status underscores the low-risk profile of the lean in this ITF M15 setting.

Jurij Rodionov vs Matisse Bobichon — Jurij Rodionov ML

Play Jurij Rodionov at -1300. An 89% model rating highlights Rodionov's superior ranking and experience against lower-level opposition. The five-star selection points to a straightforward hold of favorite status.

Thanh Minh Truong vs Tai Sach — Tai Sach ML

Back Tai Sach at -1600. The 87% model confidence is driven by ranking disparity and recent win-rate trends on the surface. Five stars reflect strong alignment between data and market price.

Koray Kirci vs Miguel Tobon — Miguel Tobon ML

Take Miguel Tobon at -1000. Model edge sits at 86% thanks to clear form and ranking separation. The five-star pick marks this as one of the more reliable leans available today.

Hynek Barton vs Nico Hipfl — Hynek Barton ML

Play Hynek Barton at -850. An 85% model probability reflects Barton's ranking advantage and consistent surface results. Five-star conviction supports the lean in this ITF M25 matchup.

Gabriel Ghetu vs Edas Butvilas — Edas Butvilas ML

Back Edas Butvilas at -650. The 83% model edge comes from ranking gap and recent form indicators. Five-star rating signals a solid favorite play on current data.

Chun Hsin Tseng vs Luca Castelnuovo — Chun Hsin Tseng ML

Take Chun Hsin Tseng at -650. Model confidence reaches 83% on the strength of ranking and surface win-rate advantages. Five stars confirm the lean as one of the day's stronger selections.

Mathys Erhard vs Benjamin Pietri — Mathys Erhard ML

Play Mathys Erhard at -600. The 83% model rating is supported by ranking differential and form trends. Five-star status marks this as a high-conviction ITF M25 pick.

Gianmarco Ferrari vs Thiago Seyboth Wild — Thiago Seyboth Wild ML

Back Thiago Seyboth Wild at -650. Model edge of 82% is driven by ranking and recent results. The five-star pick aligns with the market's heavy pricing on the favorite.

Filip Peliwo vs Grigoriy Lomakin — Filip Peliwo ML

Take Filip Peliwo at -500. The 78% model probability reflects a clear ranking advantage in this Challenger match. Five stars indicate a reliable lean despite the slightly lower confidence band.

Benjamin OConnell vs Blake Ellis — Blake Ellis ML

Play Blake Ellis at -425. Model confidence sits at 77% on ranking and form separation. Five-star rating supports the selection in the ITF M15 event.

Tung-Lin Wu vs Alexandr Binda — Tung-Lin Wu ML

Back Tung-Lin Wu at -425. The 77% model edge stems from ranking gap and surface trends. Five stars mark this as a steady favorite play.

Marco Trungelliti vs Tiago Pereira — Marco Trungelliti ML

Take Marco Trungelliti at -400. Model probability of 76% is based on ranking and recent performance. Five-star status confirms the lean for this ITF M25 contest.

Sergio Callejon Hernando vs Ilia Simakin — Ilia Simakin ML

Play Ilia Simakin at -400. The 75% model rating reflects ranking disparity. Five stars support the selection on the available data.

Sascha Gueymard Wayenburg vs Mae Malige — Sascha Gueymard Wayenburg ML

Back Sascha Gueymard Wayenburg at -325. Model confidence reaches 74% from ranking and form edges. Five-star pick indicates a solid lean in the ITF M25.

Franco Agamenone vs Matej Dodig — Matej Dodig ML

Take Matej Dodig at -325. The 73% model probability is driven by ranking advantage. Five stars mark this Challenger match as a reliable favorite.

Daniel Rincon vs Manas Manoj Dhamne — Daniel Rincon ML

Play Daniel Rincon at -300. Model edge of 72% reflects ranking and surface trends. Five-star status supports the selection.

Akira Santillan vs Bernard Tomic — Bernard Tomic ML

Back Bernard Tomic at -300. The 72% model rating comes from ranking differential. Five stars confirm the lean for this ITF M25 event.

Pablo Llamas Ruiz vs Kimmer Coppejans — Pablo Llamas Ruiz ML

Take Pablo Llamas Ruiz at -300. Model confidence sits at 72% on ranking and form. Five-star pick aligns with the data edge.

Francesco Forti vs Pedro Martinez — Pedro Martinez ML

Play Pedro Martinez at -275. The 71% model probability is supported by ranking separation. Four-star rating indicates a slightly lower but still positive lean.

Sam Ryan Ziegann vs Timofei Derepasko — Timofei Derepasko ML

Back Timofei Derepasko at -300. Model edge reaches 71% from ranking advantage. Four stars reflect measured confidence in this ITF M15 match.

Moerani Bouzige vs Philip Sekulic — Philip Sekulic ML

Take Philip Sekulic at -275. The 70% model rating is driven by form and ranking. Four-star status supports the selection.

Sidharth Rawat vs Kasidit Samrej — Kasidit Samrej ML

Play Kasidit Samrej at -260. Model confidence of 68% reflects ranking gap. Four stars mark this as a usable lean in the Challenger event.

Juan Pablo Ficovich vs Francesco Maestrelli — Francesco Maestrelli ML

Back Francesco Maestrelli at -230. The 67% model edge stems from ranking and recent results. Four stars indicate continued support for the favorite.

Massimo Giunta vs Tom Gentzsch — Tom Gentzsch ML

Take Tom Gentzsch at -240. Model probability sits at 66% on ranking differential. Four stars support the lean in this ITF M25.

Carlos Taberner vs Henrique Rocha — Henrique Rocha ML

Play Henrique Rocha at -210. The 65% model rating is based on ranking and surface trends. Four stars confirm the selection.

Michele Ribecai vs Jay Dylan Hara Friend — Jay Dylan Hara Friend ML

Back Jay Dylan Hara Friend at -220. Model confidence reaches 65% from ranking advantage. Three stars reflect a more modest edge on the board.

Vitaliy Sachko vs Daniel Siniakov — Vitaliy Sachko ML

Take Vitaliy Sachko at -200. The 64% model probability is supported by ranking separation. Three stars indicate a lower-conviction but positive lean.

Mitsuki Wei Kang Leong vs Omar Jasika — Omar Jasika ML

Play Omar Jasika at -200. Model edge of 64% comes from ranking and form data. Three stars mark this as one of the day's lighter selections.

Overall board confidence remains highest on the five-star group where model edges exceed 85%. These remain probabilistic advantages rather than certainties, so size bets conservatively and track results over volume. Lower-tier tennis carries elevated variance, making disciplined bankroll management essential for long-term results.