ITF M15 Santiago 3 Men 
Ignacio Monzon (646)Benjamin Torrealba (1062) - 32.6%
34.0%
30.4%
+4.2%
Ahora 1.37 2.84 | Inicialmente 1.40 2.72 | Cambiar -0.03 +0.12 |
2.84
Ahora 67.4% 32.6% | Inicialmente 66.0% 34.0% | Estimación de ML 69.6% 30.4% |
ML Prediction - Ignacio Monzon will Win. Yes!
ITF W35 Sharm Elsheikh 3 Women 
Joanna Garland (147)
Katarina Kuzmova (437) - 29.1%
33.9%
30.2%
+14.2%
Ahora 1.30 3.18 | Inicialmente 1.40 2.73 | Cambiar -0.10 +0.45 |
3.18
Ahora 70.9% 29.1% | Inicialmente 66.1% 33.9% | Estimación de ML 69.8% 30.2% |
ML Prediction - Joanna Garland will Win. Yes!
ITF M15 Huamantla 6 Men 
Jacob Brumm (615)Adhithya Ganesan (669) - 58.3%
50.1%
44.8%
-13.7%
Ahora 2.21 1.58 | Inicialmente 1.84 1.83 | Cambiar +0.37 -0.25 |
1.58
Ahora 41.7% 58.3% | Inicialmente 49.9% 50.1% | Estimación de ML 55.2% 44.8% |
ML Prediction - Jacob Brumm will Win. 
ITF M15 Madrid 4 Men 
Maxime Janvier (437)Alejo Sanchez Quilez (531) - 39.5%
35.5%
31.3%
-11.4%
Ahora 1.53 2.33 | Inicialmente 1.45 2.63 | Cambiar +0.08 -0.30 |
2.33
Ahora 60.5% 39.5% | Inicialmente 64.5% 35.5% | Estimación de ML 68.7% 31.3% |
ML Prediction - Maxime Janvier will Win. Yes!
ITF M15 Antalya 37 Men 
Zdenek Kolar (453)
Andrej Nedic (442) - 33.3%
35.5%
31.3%
+5.4%
Ahora 1.38 2.78 | Inicialmente 1.45 2.63 | Cambiar -0.07 +0.15 |
2.78
Ahora 66.7% 33.3% | Inicialmente 64.5% 35.5% | Estimación de ML 68.7% 31.3% |
ML Prediction - Zdenek Kolar will Win. No!ITF W15 Antalya 19 Women Linda Sevcikova (724)
Anastasiia Gureva (576) - 51.5%
51.0%
48.1%
-0.6%
Ahora 1.90 1.79 | Inicialmente 1.87 1.80 | Cambiar +0.03 -0.01 |
1.79
Ahora 48.5% 51.5% | Inicialmente 49.0% 51.0% | Estimación de ML 51.9% 48.1% |
ML Prediction - Linda Sevcikova will Win. No!
ITF W100 Dubai Women Evialina Laskevich (486)
Sofia Costoulas (195) - 52.6%
35.5%
30.1%
-33.1%
Ahora 1.95 1.76 | Inicialmente 1.45 2.63 | Cambiar +0.50 -0.87 |
1.76
Ahora 47.4% 52.6% | Inicialmente 64.5% 35.5% | Estimación de ML 69.9% 30.1% |
ML Prediction - Evialina Laskevich will Win. No!
Carol Zhao (272)
Mei Yamaguchi (269) - 55.2%
55.5%
52.9%
-0.6%
Ahora 2.07 1.67 | Inicialmente 2.09 1.68 | Cambiar -0.02 -0.01 |
1.67
Ahora 44.8% 55.2% | Inicialmente 44.5% 55.5% | Estimación de ML 47.1% 52.9% |
ML Prediction - Carol Zhao will Win. No!ITF W50 Tampa Fl Women Karina Miller (315)
Irina Maria Bara (251) - 46.3%
37.7%
32.9%
-18.4%
Ahora 1.72 2.00 | Inicialmente 1.48 2.45 | Cambiar +0.24 -0.45 |
2.00
Ahora 53.7% 46.3% | Inicialmente 62.3% 37.7% | Estimación de ML 67.1% 32.9% |
ML Prediction - Karina Miller will Win. No!Predicciones
Predicciones de algoritmos: 4 (4 Terminado,, 3 Ganado, 1 Perdido) ROI: 7.00%, +/-: 0.280
Predicciones de los usuarios: 4 (4 Terminado, 2 Ganado, 2 Perdido) ROI: -6.60%, +/-: -0.263
Predicciones de usuarios con alto ROI: 0
Predicciones de ML: 9 (9 Terminado, 3 Ganado, 6 Perdido) ROI: -52.8%, +/-: -4.75
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.
Join our community of sports aficionados, stay updated with the most current and machine learning-powered Tennis predictions, and become a part of the dynamic world of Tennis forecasting. However, please remember that the predictions offered are still in development and should be used responsibly.
Experience the convenience of having a comprehensive Tennis prediction resource that leverages the power of machine learning. While we strive to provide accurate forecasts, we do not take responsibility for any potential losses incurred as a result of using the information provided.
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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