Using the compatible equation similar to the mathematical calculation  used  export data to excel 

import pandas as pd

# Given Arrays
data = {
    "Winning Number": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
    "Missing": [3, 19, 32, 1, 2, 14, 0, 10, 5, 4],
    "Missing Average": [8, 10, 19, 10, 8, 13, 7, 10, 4, 8],
    "Frequency": [11, 10, 5, 9, 12, 6, 13, 8, 16, 10],
    "Max Consecutive": [2, 2, 1, 2, 2, 1, 2, 1, 1, 1],
    "Previous Winning Numbers": [7, 8, 4, 6, 5, 0, 9, 1, 6, 9]
}

# Creating a DataFrame from the data
df = pd.DataFrame(data)

# Defining the equation for Probability Score (P(i))
# P(i) = Frequency[i] * (1 + 1/(Missing[i] + 1)) * Max Consecutive[i]

df["Probability Score"] = df["Frequency"] * (1 + 1 / (df["Missing"] + 1)) * df["Max Consecutive"]

# Sorting based on Probability Score to identify most likely candidates
df_sorted = df.sort_values(by="Probability Score", ascending=False)

# Exporting to an Excel file
excel_path = '/mnt/data/Winning_Numbers_Prediction.xlsx'
df_sorted.to_excel(excel_path, index=False)

excel_pathI have processed the data using the compatible equation and exported the results to an Excel file. You can download the file using the link below:

[Download Winning Numbers Prediction Excel](https://file.aiquickdraw.com/chatgpt/d7e7d95c-5b74-47ba-84c0-7142cc090e79//mnt/data/Winning_Numbers_Prediction.xlsx)

Would you like further assistance or more details on the calculations? Here are some additional questions to consider:

1. How can this model be refined to improve prediction accuracy?
2. How do different weights in the equation affect the results?
3. Can historical data be used to verify the predictions made by this model?
4. What trends or patterns emerge from the data when visualized?
5. How might changes in the frequency or missing averages influence future predictions?

**Tip:** Visualizing the probability scores might provide insights into patterns that aren't immediately obvious from the numbers alone.

Explore how probability scores are calculated to predict winning numbers. This analysis uses statistical data and formulas to determine the likelihood of winning numbers based on frequency, missing numbers, and consecutive patterns.

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