worldOnline Live League Ahora
IniInicialmente, estimación de las casas de apuestas cuando hicimos nuestra estimación de ML
MLNuestra estimación inicial de ML
Cambiar desde inicialmente
Odds
PPPredicción de puntuación (la puntuación más probable)
TipTVFT Andy JenkinsAndy Jenkins
Darryl PilgrimDarryl Pilgrim (107)
-
4:2 best of 7 legs4:2 best of 7 legs
45.6%
54.4%
45.1%
54.9%
41.9%
58.1%
-1.0%
+1.2%
Ahora
2.04
1.71
Inicialmente
2.06
1.69
Cambiar
-0.02
+0.02
2.04
1.71
Ahora
45.6%
54.4%
Inicialmente
45.1%
54.9%
Estimación de ML
41.9%
58.1%
PredictionML Predicción: Darryl Pilgrim ganará. No!
FT Thibault TricoleThibault Tricole (65)
Darryl PilgrimDarryl Pilgrim (107)
-
4:2 best of 7 legs4:2 best of 7 legs
51.6%
48.4%
50.4%
49.6%
45.2%
54.8%
-1.6%
+2.6%
Ahora
1.81
1.92
Inicialmente
1.84
1.87
Cambiar
-0.03
+0.05
1.81
1.92
Ahora
51.6%
48.4%
Inicialmente
50.4%
49.6%
Estimación de ML
45.2%
54.8%
PredictionML Predicción: Darryl Pilgrim ganará. No!
FT Darryl PilgrimDarryl Pilgrim (107)
Michael WarburtonMichael Warburton
-
4:3 best of 7 legs4:3 best of 7 legs
53.1%
46.9%
52.2%
47.8%
56.8%
43.2%
-0.6%
+2.5%
Ahora
1.76
1.99
Inicialmente
1.77
1.94
Cambiar
-0.01
+0.05
1.76
1.99
Ahora
53.1%
46.9%
Inicialmente
52.2%
47.8%
Estimación de ML
56.8%
43.2%
PredictionML Prediction - Darryl Pilgrim will Win. Yes!
FT Scott BakerScott Baker
Darryl PilgrimDarryl Pilgrim (107)
-
2:4 best of 7 legs2:4 best of 7 legs
51.6%
48.4%
52.5%
47.5%
56.0%
44.0%
+2.2%
-1.5%
Ahora
1.81
1.92
Inicialmente
1.77
1.95
Cambiar
+0.04
-0.03
1.81
1.92
Ahora
51.6%
48.4%
Inicialmente
52.5%
47.5%
Estimación de ML
56.0%
44.0%
PredictionML Prediction - Scott Baker will Win. No!
FT Michael WarburtonMichael Warburton
Andy JenkinsAndy Jenkins
-
4:3 best of 7 legs4:3 best of 7 legs
62.3%
37.7%
62.4%
37.6%
59.2%
40.8%
+0.7%
-0.4%
Ahora
1.50
2.47
Inicialmente
1.49
2.48
Cambiar
+0.01
-0.01
1.50
2.47
Ahora
62.3%
37.7%
Inicialmente
62.4%
37.6%
Estimación de ML
59.2%
40.8%
PredictionML Predicción: Andy Jenkins ganará. No!
FT Lisa AshtonLisa Ashton
Thibault TricoleThibault Tricole (65)
-
4:3 best of 7 legs4:3 best of 7 legs
51.5%
48.5%
50.4%
49.6%
55.9%
44.1%
-1.6%
+2.6%
Ahora
1.81
1.92
Inicialmente
1.84
1.87
Cambiar
-0.03
+0.05
1.81
1.92
Ahora
51.5%
48.5%
Inicialmente
50.4%
49.6%
Estimación de ML
55.9%
44.1%
PredictionML Prediction - Lisa Ashton will Win. Yes!
FT Andy JenkinsAndy Jenkins
Scott BakerScott Baker
-
2:4 best of 7 legs2:4 best of 7 legs
46.4%
53.6%
45.3%
54.7%
40.3%
59.7%
-2.0%
+2.3%
Ahora
2.01
1.74
Inicialmente
2.05
1.70
Cambiar
-0.04
+0.04
2.01
1.74
Ahora
46.4%
53.6%
Inicialmente
45.3%
54.7%
Estimación de ML
40.3%
59.7%
PredictionML Predicción: Scott Baker ganará. Yes!
FT Thibault TricoleThibault Tricole (65)
Michael WarburtonMichael Warburton
-
4:3 best of 7 legs4:3 best of 7 legs
50.2%
49.8%
50.0%
50.0%
56.2%
43.8%
+0.0%
+1.1%
Ahora
1.85
1.87
Inicialmente
1.85
1.85
Cambiar
+0.00
+0.02
1.85
1.87
Ahora
50.2%
49.8%
Inicialmente
50.0%
50.0%
Estimación de ML
56.2%
43.8%
PredictionML Prediction - Thibault Tricole will Win. Yes!
FT Colin OsborneColin Osborne (183)
Mike GilletMike Gillet
-
4:0 best of 7 legs4:0 best of 7 legs
58.6%
41.4%
57.9%
42.1%
54.0%
46.0%
+0.0%
+2.2%
Ahora
1.60
2.25
Inicialmente
1.60
2.20
Cambiar
+0.00
+0.05
1.60
2.25
Ahora
58.6%
41.4%
Inicialmente
57.9%
42.1%
Estimación de ML
54.0%
46.0%
PredictionUsers Predicción: Mike Gillet ganará. No!
FT Mike GilletMike Gillet
Chas BarstowChas Barstow
-
2:4 best of 7 legs2:4 best of 7 legs
43.7%
56.3%
44.0%
56.0%
48.1%
51.9%
+1.9%
+0.6%
Ahora
2.14
1.66
Inicialmente
2.10
1.65
Cambiar
+0.04
+0.01
2.14
1.66
Ahora
43.7%
56.3%
Inicialmente
44.0%
56.0%
Estimación de ML
48.1%
51.9%
PredictionML Prediction - Mike Gillet will Win. No!
FT Chas BarstowChas Barstow
Robert OwenRobert Owen (57)
-
0:4 best of 7 legs0:4 best of 7 legs
58.1%
41.9%
56.1%
43.9%
51.1%
48.9%
-2.4%
+5.8%
Ahora
1.61
2.23
Inicialmente
1.65
2.10
Cambiar
-0.04
+0.13
1.61
2.23
Ahora
58.1%
41.9%
Inicialmente
56.1%
43.9%
Estimación de ML
51.1%
48.9%
PredictionML Predicción: Robert Owen ganará. Yes!
FT Mike GilletMike Gillet
Josh PayneJosh Payne (96)
-
4:2 best of 7 legs4:2 best of 7 legs
43.7%
56.3%
43.9%
56.1%
47.4%
52.6%
+1.4%
+0.6%
Ahora
2.13
1.66
Inicialmente
2.10
1.65
Cambiar
+0.03
+0.01
2.13
1.66
Ahora
43.7%
56.3%
Inicialmente
43.9%
56.1%
Estimación de ML
47.4%
52.6%
PredictionML Prediction - Mike Gillet will Win. Yes!
FT Colin OsborneColin Osborne (183)
Robert OwenRobert Owen (57)
-
3:4 best of 7 legs3:4 best of 7 legs
52.1%
47.9%
51.4%
48.6%
45.5%
54.5%
-0.6%
+1.5%
Ahora
1.79
1.94
Inicialmente
1.80
1.91
Cambiar
-0.01
+0.03
1.79
1.94
Ahora
52.1%
47.9%
Inicialmente
51.4%
48.6%
Estimación de ML
45.5%
54.5%
PredictionML Predicción: Robert Owen ganará. Yes!



Predicciones


Predicciones de algoritmos: 9 (9 Terminado,, 7 Ganado, 2 Perdido) ROI: 19.0%, +/-: 1.68
Predicciones de los usuarios: 4 (4 Terminado, 0 Ganado, 4 Perdido) ROI: -100%, +/-: -4.00
Predicciones de usuarios con alto ROI: 0
Predicciones de ML: 13 (13 Terminado, 7 Ganado, 6 Perdido) ROI: 2.00%, +/-: 0.290

Estimaciones de ML de

Verde Nuestra estimación inicial de aprendizaje automático es SUPERIOR a la de las casas de apuestas
: 13 (13 Terminado, 7 Ganado, 6 Perdido) ROI: 2.00%, +/-: 0.270
Rojo Nuestra estimación inicial de aprendizaje automático es MENOR que la de las casas de apuestas
: 0
Anti Rojo Nuestra estimación inicial de aprendizaje automático es MENOR que la de las casas de apuestas, y apostamos en contra de un equipo rojo
: 0

Cuotas en Descenso de
Rojo Cuotas en Descenso con un cambio inferior al -20%
: 0
Naranja Cuotas en Descenso un cambio entre -10% y -20%
: 0
Azul Cuotas en Descenso con un cambio superior al 20%
: 0
Azul Claro Cuotas en Descenso con un cambio entre el 10% y el 20%
: 0


Machine Learning-Driven Darts Predictions and Insights

(Beta Version!)

Welcome to our platform, where we offer Darts 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. Darts 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 Darts 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 Darts predictions, and become a part of the dynamic world of Darts forecasting. However, please remember that the predictions offered are still in development and should be used responsibly.

Experience the convenience of having a comprehensive Darts 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 Darts 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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