ITF M15 Tianjin 3 Men Aoran Wang (1007)
Jacob Bradshaw (537) - 56.4%
50.0%
48.8%
-10.8%
Ahora 2.13 1.65 | Inicialmente 1.85 1.85 | Cambiar +0.28 -0.20 |
1.65
Ahora 43.6% 56.4% | Inicialmente 50.0% 50.0% | Estimación de ML 51.2% 48.8% |
ML Prediction - Aoran Wang will Win. Yes!
ITF W25 Tarvisio Women 
Petra Marcinko (239)Tena Lukas (271) - 25.9%
31.6%
28.6%
+18.3%
Ahora 1.26 3.61 | Inicialmente 1.36 2.95 | Cambiar -0.10 +0.66 |
3.61
Ahora 74.1% 25.9% | Inicialmente 68.4% 31.6% | Estimación de ML 71.4% 28.6% |
ML Prediction - Petra Marcinko will Win. Yes!
ITF M15 Casablanca 2 Men Yassine Dlimi (1161)
Adam Moundir (740) - 24.2%
34.1%
29.7%
+30.1%
Ahora 1.23 3.85 | Inicialmente 1.40 2.69 | Cambiar -0.17 +1.16 |
3.85
Ahora 75.8% 24.2% | Inicialmente 65.9% 34.1% | Estimación de ML 70.3% 29.7% |
ML Prediction - Yassine Dlimi will Win. Yes!
ITF M15 Belgrade Men Miljan Zekic (760)
Marat Sharipov (273) - 37.8%
37.8%
33.9%
+0.0%
Ahora 1.48 2.44 | Inicialmente 1.48 2.44 | Cambiar +0.00 +0.00 |
2.44
Ahora 62.2% 37.8% | Inicialmente 62.2% 37.8% | Estimación de ML 66.1% 33.9% |
ML Prediction - Miljan Zekic will Win. Yes!ITF W25 Prokuplje Women 
Anca Alexia Todoni (100)
Valeriya Strakhova (268) - 40.1%
50.0%
43.0%
+20.8%
Ahora 1.55 2.31 | Inicialmente 1.83 1.83 | Cambiar -0.28 +0.48 |
2.31
Ahora 59.9% 40.1% | Inicialmente 50.0% 50.0% | Estimación de ML 57.0% 43.0% |
ML Prediction - Anca Alexia Todoni will Win. Yes!
ITF M15 Celje Men 
Buvaysar Gadamauri (687)
Sebastian Sorger (663) - 48.7%
49.0%
42.1%
+1.1%
Ahora 1.81 1.90 | Inicialmente 1.80 1.88 | Cambiar +0.01 +0.02 |
1.90
Ahora 51.3% 48.7% | Inicialmente 51.0% 49.0% | Estimación de ML 57.9% 42.1% |
ML Prediction - Buvaysar Gadamauri will Win. No!Enrico Dalla Valle (314)Blaz Rola (821) - 50.1%
47.0%
42.6%
-6.1%
Ahora 1.86 1.85 | Inicialmente 1.75 1.97 | Cambiar +0.11 -0.12 |
1.85
Ahora 49.9% 50.1% | Inicialmente 53.0% 47.0% | Estimación de ML 57.4% 42.6% |
ML Prediction - Enrico Dalla Valle will Win. Yes!
ITF W15 Monastir 21 Women 
Lisa Mays (674)
Giulia Crescenzi (829) - 48.7%
48.4%
50.2%
-0.5%
Ahora 1.82 1.91 | Inicialmente 1.80 1.92 | Cambiar +0.02 -0.01 |
1.91
Ahora 51.3% 48.7% | Inicialmente 51.6% 48.4% | Estimación de ML 49.8% 50.2% |
ML Predicción: Giulia Crescenzi ganará. Yes!
WTA Eastbourne Camila Giorgi (108)Darya Kasatkina (12) - 58.3%
62.0%
66.1%
+6.1%
Ahora 2.29 1.64 | Inicialmente 2.51 1.54 | Cambiar -0.22 +0.10 |
1.64
Ahora 41.7% 58.3% | Inicialmente 38.0% 62.0% | Estimación de ML 33.9% 66.1% |
ML Predicción: Darya Kasatkina ganará. Yes!
beIN Sports (Aus)
beIN Sports (Fra)
beIN Sports Max (Fra)
CANAL+ Sport (Pol)
CMore (Fin)
CMore Sport (Fin)
Digi Sport 2 (Rom)
Match 4 (Hun)
Nova Sports (Hel)
O2 TV Tenis
RTVS Sport
Setanta Sports (Ukr)
SportKlub (BiH)
SportKlub (Cro)
SportKlub (Mac)
SportKlub (Mon)
SportKlub (Ser)
SportKlub (Slo)
TV2 Sport (Den)
Ziggo Kanaal 14
Ziggo Sport Select
Ziggo Sport Tennis
ITF M15 Irvine Ca Men Learner Tien (66)Tristan Boyer (111) - 58.0%
58.1%
56.4%
+1.3%
Ahora 2.21 1.60 | Inicialmente 2.20 1.58 | Cambiar +0.01 +0.02 |
1.60
Ahora 42.0% 58.0% | Inicialmente 41.9% 58.1% | Estimación de ML 43.6% 56.4% |
ML Prediction - Learner Tien will Win. Yes!Predicciones
Predicciones de algoritmos: 6 (6 Terminado,, 4 Ganado, 2 Perdido) ROI: -5.20%, +/-: -0.310
Predicciones de los usuarios: 7 (7 Terminado, 4 Ganado, 3 Perdido) ROI: -2.50%, +/-: -0.173
Predicciones de ML: 10 (10 Terminado, 9 Ganado, 1 Perdido) ROI: 53.0%, +/-: 5.34
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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