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Smashrs runs multiple models designed to look at each match from a different perspective and serves up a prediction when there is consensus.
Free during early access. No credit card required.
Every pick below comes from a walk-forward backtest - the model was trained on past data and tested on matches it had never seen. No lookahead bias, no cherry-picked windows.
Accuracy measures how often the consensus pick won. ROI uses flat 1-unit stakes. The Units column is stake-agnostic by default - toggle to 3% or 5% bankroll to see the compounding impact from a $10,000 starting bankroll.
Past performance does not guarantee future results.
Units column stake size
| Period | Picks | Accuracy | ROI | Units |
|---|---|---|---|---|
| Last 90 days | 370 | 84.1% | +7.2% | +26.8u |
| 2026 Season | 430 | 84.0% | +7.3% | +31.6u |
| 2025 Season | 1,293 | 80.1% | +2.2% | +28.7u |
| 2024 Season | 1,188 | 80.2% | +2.7% | +31.7u |
Raw unit P/L - stake-agnostic. 1 unit = your chosen stake size.
Performance by consensus tier
| 6/6 consensus | 1,077 | 81.0% | +2.7% |
| 5/6 consensus | 1,125 | 79.6% | +2.1% |
| 4/6 consensus | 709 | 82.1% | +5.5% |
The receipts · Last 40 settled picks
No cherry-picking.
YTD ROI
+7.3%
Accuracy
84.0%
Picks
430
Streak
W6
Marat Sharipov
+0.30u
Renta Tokuda
+0.26u
Alex Martinez
+0.30u
Andrea Guerrieri
+0.43u
Hayato Matsuoka
+0.28u
Beibit Zhukayev
+0.37u
Leo Vithoontien
-1.00u
Marat Sharipov
+0.34u
Valentin Royer
+0.36u
Alexander Zverev
-1.00u
Alexander Zverev
+0.36u
Flavio Cobolli
+0.37u
Li Tu
+0.44u
Maximus Jones
-1.00u
Thiago Seyboth Wild
-1.00u
Andrey Rublev
+0.25u
Lorenzo Musetti
+0.26u
Liam Broady
+0.34u
Hugo Dellien
+0.18u
Thiago Seyboth Wild
+0.33u
Hynek Barton
+0.32u
Coleman Wong
-1.00u
Santiago De La Fuente
-1.00u
Valerio Aboian
+0.24u
Alexander Bublik
-1.00u
Gonzalo Bueno
+0.36u
Giles Hussey
+0.42u
Francisco Comesana
-1.00u
Beibit Zhukayev
+0.35u
Hynek Barton
+0.18u
Hynek Barton
+0.18u
Masamichi Imamura
+0.19u
Nuno Borges
+0.21u
Roman Safiullin
+0.14u
Adam Walton
+0.34u
Maximo Zeitune
+0.42u
Santiago De La Fuente
+0.38u
Taro Daniel
+0.24u
Jonas Forejtek
+0.29u
Stefan Kozlov
+0.19u
Every match page shows the full prediction card. Here's a real example from the 2026 Miami Open.
HardMiami Open · 3rd Round · March 21, 2026
Six-model consensus and matchup context
Pick
Ben Shelton
over Alexander Shevchenko
Confidence
77.0%
5/6 models agreePrediction Summary
5 of 6 models back Shelton. His 309-point Elo advantage and dominant hard-court serve profile give him a clear structural edge over Shevchenko. The Fatigue Index dissents - Shelton has logged heavy court time recently - but the consensus across peak performance, form, and mechanics models is strong.
Free during early access - no credit card required
Create free accountSmashrs predictions come from multiple independent models that each analyze a match from a different angle. A pick is only surfaced when the models reach consensus, filtering out matches where the signal is weak. This approach has maintained 75%+ accuracy across thousands of backtested ATP picks.
Transparency is built in. The track record above shows every prediction we have made, with all losing runs and drawdowns included. Results come from walk-forward backtesting, so the model never saw future data when generating a pick. No cherry-picked time windows, no hindsight.
Looking for deeper analysis before placing a bet? Compare any two players with our H2H tool for matchup history and surface splits, or browse the live ATP rankings for Elo ratings, win rates, and career stats.
