ATP Antwerp 
Dennis Novak (366)
Marton Fucsovics (90) - 60.1%
57.9%
55.0%
-3.7%
Ahora 2.38 1.58 | Inicialmente 2.26 1.64 | Cambiar +0.12 -0.06 |
1.58
Ahora 39.9% 60.1% | Inicialmente 42.1% 57.9% | Estimación de ML 45.0% 55.0% |
ML Prediction - Dennis Novak will Win. No!
Losinj Challenger Men 
Javier Barranco Cosano (257)Carlos Taberner (145) - 
71.9%
68.9%
71.8%
-4.4%
Ahora 3.33 1.30 | Inicialmente 3.02 1.36 | Cambiar +0.31 -0.06 |
1.30
Ahora 28.1% 71.9% | Inicialmente 31.1% 68.9% | Estimación de ML 28.2% 71.8% |
ML Predicción: Carlos Taberner ganará. Yes!
ITF M25 Nur Sultan 2 Men 
Michal Dembek Denis Yevseyev (258) - 69.0%
69.3%
74.4%
+0.0%
Ahora 2.96 1.33 | Inicialmente 3.00 1.33 | Cambiar -0.04 +0.00 |
1.33
Ahora 31.0% 69.0% | Inicialmente 30.7% 69.3% | Estimación de ML 25.6% 74.4% |
ML Predicción: Denis Yevseyev ganará. Yes!
WTA Moscow (Terrorist Country)
Anett Kontaveit (81)
Katerina Siniakova (57) - 26.3%
35.3%
31.5%
+25.7%
Ahora 1.29 3.62 | Inicialmente 1.47 2.69 | Cambiar -0.18 +0.93 |
3.62
Ahora 73.7% 26.3% | Inicialmente 64.7% 35.3% | Estimación de ML 68.5% 31.5% |
ML Prediction - Anett Kontaveit will Win. Yes!ATP Moscow (Terrorist Country)
Tommy Paul (13)
Mikael Ymer (750) - 41.1%
36.5%
35.0%
-11.8%
Ahora 1.61 2.31 | Inicialmente 1.51 2.62 | Cambiar +0.10 -0.31 |
2.31
Ahora 58.9% 41.1% | Inicialmente 63.5% 36.5% | Estimación de ML 65.0% 35.0% |
ML Prediction - Tommy Paul will Win. Yes!
ITF M15 Antalya 28 Men 
Davide Galoppini (884)
Bogdan Ionut Apostol - 66.8%
66.8%
74.4%
+0.0%
Ahora 2.80 1.39 | Inicialmente 2.80 1.39 | Cambiar +0.00 +0.00 |
1.39
Ahora 33.2% 66.8% | Inicialmente 33.2% 66.8% | Estimación de ML 25.6% 74.4% |
ML Predicción: Bogdan Ionut Apostol ganará. Yes!Predicciones
Predicciones de algoritmos: 2 (2 Terminado,, 1 Ganado, 1 Perdido) ROI: -33.5%, +/-: -0.670
Predicciones de los usuarios: 7 (7 Terminado, 3 Ganado, 4 Perdido) ROI: -28.7%, +/-: -2.01
Predicciones de ML: 6 (6 Terminado, 5 Ganado, 1 Perdido) ROI: 18.0%, +/-: 1.06
Estimaciones de ML de
Cuotas en Descenso de
Machine Learning-Driven Tennis Predictions and Insights
(Beta Version!)Welcome to our platform, where we offer Tennis predictions powered by advanced machine learning algorithms. Our predictions are generated through the utilization of cutting-edge machine learning algorithms, which analyze vast datasets comprising historical team performance, recent match results, and long-term statistical trends.
Please keep in mind that while our machine learning-driven predictions are a valuable resource, no prediction method can guarantee 100% accuracy. Tennis events inherently involve uncertainties, and outcomes can vary. We encourage users to use the information provided as a reference for making their own informed decisions.
Our platform incorporates historical match data, team statistics, and bookmakers' odds into our machine learning-based prediction algorithms, creating a holistic approach to Tennis forecasting. Whether you're interested in the latest odds, detailed match previews, or expert insights, our platform has you covered.
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Disclaimer: Our platform offers Tennis predictions and insights for informational purposes only. We do not guarantee 100% prediction accuracy and advise users to exercise due diligence when making decisions based on our machine learning-driven predictions.
Frequently Asked Questions (FAQs):
1. How are the predictions generated?
Our predictions are generated using advanced machine learning algorithms that analyze extensive data, including team performance, historical match results, and bookmakers' odds.
2. Are the predictions always accurate?
No, while we strive for accuracy, no prediction method can guarantee 100% accuracy. Sporting events are inherently unpredictable.
3. What is the status of these predictions?
These predictions are still in development and are continually refined to enhance accuracy and reliability.
4. Do you take responsibility for potential losses based on the predictions?
No, we do not take responsibility for any possible losses incurred as a result of using the information provided on our platform.
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