ITF & Challenger Tennis Picks — September 16, 2026

Your ITF & Challenger Tennis picks September 16, 2026 focus on 22 lower-tier matches where the model shows clear edges on favorites in most spots. ITF & Challenger Tennis picks today lean heavily toward established players facing ranking or form gaps, with five standout five-star selections offering the strongest conviction. These boards reward disciplined selection rather than volume, as variance remains elevated across Challengers and ITFs. You will see concentrated value in the top-rated plays backed by model probabilities above 75 percent, while the rest require tighter stake sizing to manage swings.

Carolina Alves vs Suzan Lamens — Suzan Lamens ML

Back Suzan Lamens at -650. The model assigns her an 84 percent win probability, reflecting a significant ranking and consistency edge over Alves in this Challenger matchup. Lamens has converted high-percentage favorites reliably on similar surfaces, and the steep price still offers value given the projected dominance. This five-star selection stands out as the board's highest-confidence play.

Rio Noguchi vs Colin Sinclair — Rio Noguchi ML

Take Rio Noguchi at -525. The model rates him at 81 percent, driven by a clear gap in recent ITF M15 results and surface-specific reliability. Sinclair's underdog price reflects limited success against this level of opposition. Noguchi's five-star rating supports a strong lean here.

Titouan Droguet vs Michele Ribecai — Titouan Droguet ML

Play Titouan Droguet at -500. Model confidence sits at 79 percent, highlighting Droguet's superior Challenger experience and head-to-head history. Ribecai's +325 line overstates his upset potential on this surface. The five-star tag marks this as a core selection.

Akira Santillan vs Pavel Kotov — Pavel Kotov ML

Choose Pavel Kotov at -400. The model projects a 76 percent chance, based on Kotov's stronger ITF M25 track record and ranking advantage. Santillan's +275 price does not sufficiently compensate for the projected outcome.

Michael Mmoh vs Patrick Maloney — Michael Mmoh ML

Back Michael Mmoh at -375. With 75 percent model confidence, Mmoh's ITF M25 form and experience edge justify the price against Maloney. This five-star play emphasizes steady favorite conversion.

Arthur Nagel vs Francesco Maestrelli — Francesco Maestrelli ML

Select Francesco Maestrelli at -325. The model gives him 74 percent probability, citing superior recent results in similar events. Nagel's +240 line offers limited value against this profile.

Clement Chidekh vs Lucas Poullain — Clement Chidekh ML

Take Clement Chidekh at -260. Model confidence reaches 69 percent, supported by Chidekh's stronger ITF M25 metrics and surface results. Poullain's +190 price underestimates the gap.

Felix Gill vs Gerard Campana Lee — Felix Gill ML

Play Felix Gill at -240. The model assigns 68 percent probability, reflecting Gill's edge in ITF M25 form. Campana Lee's +180 line provides insufficient compensation.

Luca Castelnuovo vs Elias Ymer — Elias Ymer ML

Back Elias Ymer at -240. Model confidence stands at 66 percent, driven by Ymer's Challenger ranking and experience advantage. Castelnuovo's +180 price remains risky.

Caroline Dolehide vs Magdalena Frech — Magdalena Frech ML

Choose Magdalena Frech at -210. The model rates her at 66 percent, based on stronger ITF W100 results. Dolehide's +170 line does not close the projected gap.

Lisa Pigato vs Kajsa Rinaldo Persson — Lisa Pigato ML

Select Lisa Pigato at -220. Model confidence hits 66 percent, highlighting Pigato's ITF W75 edge. Persson's +165 price offers limited value.

Martin Krumich vs Tom Gentzsch — Tom Gentzsch ML

Back Tom Gentzsch at -200. The model projects 64 percent probability, citing Gentzsch's recent Challenger form. Krumich's +150 line carries elevated risk.

Matteo Martineau vs Max Schoenhaus — Max Schoenhaus ML

Play Max Schoenhaus at -200. Model confidence reaches 64 percent, reflecting Schoenhaus's ITF edge. Martineau's +155 price remains speculative.

Murphy Cassone vs Harold Mayot — Harold Mayot ML

Take Harold Mayot at -190. The model assigns 63 percent probability, supported by Mayot's Challenger consistency. Cassone's +145 line underplays the favorite.

Denisa Zoldakova vs Anastasiia Sobolieva — Anastasiia Sobolieva ML

Back Anastasiia Sobolieva at -180. Model confidence sits at 62 percent, based on Sobolieva's ITF W75 results. Zoldakova's +140 price offers thin value.

Chloe Paquet vs Jazmin Ortenzi — Chloe Paquet ML

Choose Chloe Paquet at -170. The model rates her at 62 percent, driven by ranking and surface factors. Ortenzi's +140 line remains a lower-percentage spot.

Samira De Stefano vs Barbora Palicova — Barbora Palicova ML

Select Barbora Palicova at -180. Model confidence reaches 62 percent, reflecting Palicova's ITF W75 strength. De Stefano's +135 line carries variance.

Abedallah Shelbayh vs Tristan Boyer — Tristan Boyer ML

Play Tristan Boyer at -175. The model gives 61 percent probability, citing Boyer's Challenger edge. Shelbayh's +135 price adds risk.

Kilian Feldbausch vs Diego Dedura-Palomero — Kilian Feldbausch ML

Back Kilian Feldbausch at -170. Model confidence stands at 61 percent, based on Feldbausch's surface results. Dedura-Palomero's +130 line remains speculative.

Pavel Lagutin vs Alejandro Moro Canas — Alejandro Moro Canas ML

Take Alejandro Moro Canas at -165. The model projects 60 percent probability, supported by Moro Canas's ITF metrics. Lagutin's +125 price offers limited edge.

Enzo Aguiard vs Matthew Dellavedova — Matthew Dellavedova ML

Choose Matthew Dellavedova at -150. Model confidence hits 57 percent, reflecting Dellavedova's experience advantage. Aguiard's +110 line remains a lower-conviction spot.

Petr Brunclik vs Jay Clarke — Jay Clarke ML

Play Jay Clarke at -125. The model assigns 54 percent probability, based on Clarke's ITF M15 edge. Brunclik's -105 price keeps this the lowest-confidence selection on the board.

Overall board confidence stays moderate given the lower-tier nature of these events and inherent variance. You should size stakes according to model percentages, keeping the five-star plays at the top of your allocation while treating three-star and lower selections as smaller positions. Model edges provide guidance only and never guarantee results, so maintain strict bankroll discipline across all 22 matches.