ITF W50 Sao Paulo Women 
Michaela Bayerlova (620)
Ekaterina Makarova (225) - 69.4%
68.4%
73.9%
+0.0%
Ahora 3.04 1.34 | Inicialmente 2.90 1.34 | Cambiar +0.14 +0.00 |
1.34
Ahora 30.6% 69.4% | Inicialmente 31.6% 68.4% | Estimación de ML 26.1% 73.9% |
ML Predicción: Ekaterina Makarova ganará. Yes!
Miriana Tona (420)
Valeriya Strakhova (256) - 59.0%
57.5%
54.3%
-2.5%
Ahora 2.26 1.57 | Inicialmente 2.18 1.61 | Cambiar +0.08 -0.04 |
1.57
Ahora 41.0% 59.0% | Inicialmente 42.5% 57.5% | Estimación de ML 45.7% 54.3% |
ML Prediction - Miriana Tona will Win. Yes!Naples 3 Challenger Men Matteo Gigante (130)Luca Nardi (98) - 49.9%
49.9%
46.7%
+0.0%
Ahora 1.83 1.84 | Inicialmente 1.83 1.84 | Cambiar +0.00 +0.00 |
1.84
Ahora 50.1% 49.9% | Inicialmente 50.1% 49.9% | Estimación de ML 53.3% 46.7% |
ML Prediction - Matteo Gigante will Win. No!Matteo Gigante (130)Samuel Vincent Ruggeri (439) - 33.1%
38.7%
32.2%
+15.2%
Ahora 1.40 2.83 | Inicialmente 1.51 2.40 | Cambiar -0.11 +0.43 |
2.83
Ahora 66.9% 33.1% | Inicialmente 61.3% 38.7% | Estimación de ML 67.8% 32.2% |
Users Prediction - Matteo Gigante will Win. Yes!
ITF M15 Tsukuba Men Hikaru Shiraishi (587)
Yi Zhou (297) - 38.1%
37.8%
33.6%
-0.4%
Ahora 1.49 2.43 | Inicialmente 1.48 2.44 | Cambiar +0.01 -0.01 |
2.43
Ahora 61.9% 38.1% | Inicialmente 62.2% 37.8% | Estimación de ML 66.4% 33.6% |
ML Prediction - Hikaru Shiraishi will Win. Yes!
Yunseong Chung (1323)Hikaru Shiraishi (587) - 48.8%
43.6%
48.2%
-10.0%
Ahora 1.81 1.90 | Inicialmente 1.63 2.11 | Cambiar +0.18 -0.21 |
1.90
Ahora 51.2% 48.8% | Inicialmente 56.4% 43.6% | Estimación de ML 51.8% 48.2% |
ML Predicción: Hikaru Shiraishi ganará. Yes!ITF W50 Kofu Women 
Maegan Manasse (772)
Mananchaya Sawangkaew (111) - 53.5%
46.3%
39.5%
-12.6%
Ahora 1.99 1.74 | Inicialmente 1.72 1.99 | Cambiar +0.27 -0.25 |
1.74
Ahora 46.5% 53.5% | Inicialmente 53.7% 46.3% | Estimación de ML 60.5% 39.5% |
ML Prediction - Maegan Manasse will Win. No!Lanlana Tararudee (180)
Destanee Aiava (155) - 52.7%
50.0%
44.5%
-3.8%
Ahora 1.96 1.76 | Inicialmente 1.83 1.83 | Cambiar +0.13 -0.07 |
1.76
Ahora 47.3% 52.7% | Inicialmente 50.0% 50.0% | Estimación de ML 55.5% 44.5% |
ML Prediction - Lanlana Tararudee will Win. Yes!Catherine Harrison (329)Haruka Kaji (233) - 47.4%
51.3%
44.5%
+8.7%
Ahora 1.76 1.96 | Inicialmente 1.89 1.79 | Cambiar -0.13 +0.17 |
1.96
Ahora 52.6% 47.4% | Inicialmente 48.7% 51.3% | Estimación de ML 55.5% 44.5% |
ML Prediction - Catherine Harrison will Win. Yes!
San Luis Potosi Challenger Men Bernard Tomic (238)Denis Kudla (217) - 66.9%
63.2%
68.4%
-4.1%
Ahora 2.84 1.41 | Inicialmente 2.52 1.47 | Cambiar +0.32 -0.06 |
1.41
Ahora 33.1% 66.9% | Inicialmente 36.8% 63.2% | Estimación de ML 31.6% 68.4% |
Users Predicción: Denis Kudla ganará. Predicciones
Predicciones de algoritmos: 10 (10 Terminado,, 10 Ganado, 0 Perdido) ROI: 42.0%, +/-: 4.23
Predicciones de los usuarios: 3 (3 Terminado, 2 Ganado, 1 Perdido) ROI: 73.0%, +/-: 2.20
Predicciones de usuarios con alto ROI: 0
Predicciones de ML: 10 (10 Terminado, 7 Ganado, 3 Perdido) ROI: 24.0%, +/-: 2.36
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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