Ostrava Challenger Men 
Damir Dzumhur (69)
Henri Squire (260) - 45.3%
39.2%
35.1%
-13.3%
Ahora 1.72 2.08 | Inicialmente 1.55 2.40 | Cambiar +0.17 -0.32 |
2.08
Ahora 54.7% 45.3% | Inicialmente 60.8% 39.2% | Estimación de ML 64.9% 35.1% |
Users Prediction - Damir Dzumhur will Win. Yes!
ITF M25 Angers Men 
Aziz Dougaz (222)
Raphael Collignon (86) - 68.8%
61.9%
66.2%
-8.8%
Ahora 2.98 1.35 | Inicialmente 2.40 1.48 | Cambiar +0.58 -0.13 |
1.35
Ahora 31.2% 68.8% | Inicialmente 38.1% 61.9% | Estimación de ML 33.8% 66.2% |
ML Predicción: Raphael Collignon ganará. Yes!
ITF W15 Shymkent 2 Women 
Ksenia Laskutova (483)Valeriya Yushchenko (648) - 42.5%
42.5%
39.8%
+0.0%
Ahora 1.61 2.17 | Inicialmente 1.60 2.17 | Cambiar +0.01 +0.00 |
2.17
Ahora 57.5% 42.5% | Inicialmente 57.5% 42.5% | Estimación de ML 60.2% 39.8% |
ML Prediction - Ksenia Laskutova will Win. No!
ITF W15 Kursumlijska Banja 2 Women Anja Stankovic (507)
Pemra Ozgen (634) - 50.0%
50.0%
47.8%
+0.0%
Ahora 1.84 1.84 | Inicialmente 1.84 1.84 | Cambiar +0.00 +0.00 |
1.84
Ahora 50.0% 50.0% | Inicialmente 50.0% 50.0% | Estimación de ML 52.2% 47.8% |
ML Prediction - Anja Stankovic will Win. Yes!
ATP Madrid Andrey Rublev (15)Alejandro Davidovich Fokina (29) - 35.4%
34.5%
36.6%
-0.4%
Ahora 1.48 2.70 | Inicialmente 1.43 2.71 | Cambiar +0.05 -0.01 |
2.70
Ahora 64.6% 35.4% | Inicialmente 65.5% 34.5% | Estimación de ML 63.4% 36.6% |
ML Predicción: Alejandro Davidovich Fokina ganará. No!
William Hill En Vivo
Bwin En Vivo
Bet Now En Vivo
beIN Sports (Aus)
Digi Sport 2 (Rom)
Digi Sport 4 (Rom)
ESPN (Bra)
Eurosport 1 (Fra)
Max Sport 1 (Bul)
MTV Katsomo (Fin)
MTV Urheilu (Fin)
Polsat Sport 2
Premier Sport 3 (Cze)
Prima Sport 3 (Rom)
Setanta Sports (Ukr)
Sky Sport Tennis (Ger)
SportKlub (BiH)
SportKlub (Cro)
SportKlub (Mac)
SportKlub (Mon)
SportKlub (Ser)
SportKlub (Slo)
Sport TV2 (Por)
TV2 Sport X (Den)
Ziggo Sport Tennis
ITF W75 Charlottesville Va Women Kayla Day (421)Louisa Chirico (178) - 32.7%
39.6%
36.6%
+16.9%
Ahora 1.38 2.84 | Inicialmente 1.55 2.36 | Cambiar -0.17 +0.48 |
2.84
Ahora 67.3% 32.7% | Inicialmente 60.4% 39.6% | Estimación de ML 63.4% 36.6% |
ML Prediction - Kayla Day will Win. No!Predicciones
Predicciones de algoritmos: 4 (4 Terminado,, 3 Ganado, 1 Perdido) ROI: 16.0%, +/-: 0.640
Predicciones de los usuarios: 4 (4 Terminado, 3 Ganado, 1 Perdido) ROI: 21.0%, +/-: 0.851
Predicciones de usuarios con alto ROI: 0
Predicciones de ML: 6 (6 Terminado, 3 Ganado, 3 Perdido) ROI: -18.8%, +/-: -1.13
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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