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Board Game Win Probability Calculator

Board Game Win Probability Calculator

Estimate your probability of winning a board game based on player skill level, game complexity, number of players, and luck factor.

1 = novice, 5 = expert
1 = simple (e.g., Uno), 5 = complex (e.g., Twilight Imperium)
2–8 players, affects competition
1 = low luck (e.g., Chess), 5 = high luck (e.g., Monopoly)

Formulas Used

The Win Probability Score is calculated using a weighted formula assessing player skill level, game complexity, number of players, and luck factor.

  1. Player Competition Score:

    \\[ C_{\text{score}} = \max\left(0, 5 – \frac{N – 2}{2}\right) \\]

    Where \\( N \\) is the number of players. Score decreases as the number of players increases.

  2. Skill-Complexity Alignment Score:

    \\[ A_{\text{score}} = \max\left(0, 5 – \frac{|S – G|}{2}\right) \\]

    Where \\( S \\) is player skill level and \\( G \\) is game complexity. Score decreases as skill and complexity diverge.

  3. Raw Win Probability Score:

    \\[ R_{\text{raw}} = w_1 S + w_2 A_{\text{score}} + w_3 C_{\text{score}} + w_4 (6 – L) \\]

    Where:

    • \\( S \\): Player skill level (1–5)
    • \\( A_{\text{score}} \\): Skill-complexity alignment score
    • \\( C_{\text{score}} \\): Player competition score
    • \\( L \\): Luck factor (1–5, inverted so lower luck = higher score)
    • \\( w_1 = 5 \\): Weight for skill level
    • \\( w_2 = 5 \\): Weight for alignment
    • \\( w_3 = 5 \\): Weight for competition
    • \\( w_4 = 5 \\): Weight for luck factor

  4. Win Probability Score:

    \\[ \text{WPS} = \max\left(0, \min\left(100, \frac{R_{\text{raw}}}{100} \cdot 100\right)\right) \\]

    Normalizes the raw score (0–100) to 0–100. Ratings: Low (0–25), Moderate (25–50), High (50–75), Very High (75–100).

  5. Estimated Win Probability:

    \\[ \text{Probability} = \frac{S \cdot (6 – L)}{5 \cdot N} \cdot 100 \\]

    Estimates win probability (%) based on skill (\\( S \\)), luck (\\( L \\)), and players (\\( N \\)).

Example Calculations

Example 1: Casual Game Night

Inputs: Player Skill = 3, Game Complexity = 2, Number of Players = 4, Luck Factor = 3

Calculations:

  • Player Competition Score: \\[ \max\left(0, 5 – \frac{4 – 2}{2}\right) = \max(0, 5 – 1) = 4 \\]
  • Skill-Complexity Alignment Score: \\[ \max\left(0, 5 – \frac{|3 – 2|}{2}\right) = \max(0, 5 – 0.5) = 4.5 \\]
  • Raw Win Probability Score: \\[ 5 \cdot 3 + 5 \cdot 4.5 + 5 \cdot 4 + 5 \cdot (6 – 3) = 15 + 22.5 + 20 + 15 = 72.5 \\]
  • Win Probability Score: \\[ \frac{72.5}{100} \cdot 100 = 72.5 \\]
  • Estimated Win Probability: \\[ \frac{3 \cdot (6 – 3)}{5 \cdot 4} \cdot 100 = \frac{3 \cdot 3}{20} \cdot 100 = 45 \\]
  • Rating: High (50–75)

Result: Win Probability Score: 72.5 (High), Estimated Win Probability: 45%

Example 2: High-Luck Game

Inputs: Player Skill = 2, Game Complexity = 3, Number of Players = 6, Luck Factor = 5

Calculations:

  • Player Competition Score: \\[ \max\left(0, 5 – \frac{6 – 2}{2}\right) = \max(0, 5 – 2) = 3 \\]
  • Skill-Complexity Alignment Score: \\[ \max\left(0, 5 – \frac{|2 – 3|}{2}\right) = \max(0, 5 – 0.5) = 4.5 \\]
  • Raw Win Probability Score: \\[ 5 \cdot 2 + 5 \cdot 4.5 + 5 \cdot 3 + 5 \cdot (6 – 5) = 10 + 22.5 + 15 + 5 = 52.5 \\]
  • Win Probability Score: \\[ \frac{52.5}{100} \cdot 100 = 52.5 \\]
  • Estimated Win Probability: \\[ \frac{2 \cdot (6 – 5)}{5 \cdot 6} \cdot 100 = \frac{2 \cdot 1}{30} \cdot 100 \approx 6.67 \\]
  • Rating: High (50–75)

Result: Win Probability Score: 52.5 (High), Estimated Win Probability: 6.7%

Example 3: Expert in Simple Game

Inputs: Player Skill = 5, Game Complexity = 1, Number of Players = 2, Luck Factor = 1

Calculations:

  • Player Competition Score: \\[ \max\left(0, 5 – \frac{2 – 2}{2}\right) = \max(0, 5 – 0) = 5 \\]
  • Skill-Complexity Alignment Score: \\[ \max\left(0, 5 – \frac{|5 – 1|}{2}\right) = \max(0, 5 – 2) = 3 \\]
  • Raw Win Probability Score: \\[ 5 \cdot 5 + 5 \cdot 3 + 5 \cdot 5 + 5 \cdot (6 – 1) = 25 + 15 + 25 + 25 = 90 \\]
  • Win Probability Score: \\[ \frac{90}{100} \cdot 100 = 90 \\]
  • Estimated Win Probability: \\[ \frac{5 \cdot (6 – 1)}{5 \cdot 2} \cdot 100 = \frac{5 \cdot 5}{10} \cdot 100 = 250 \rightarrow 100 \\]
  • Rating: Very High (75–100)

Result: Win Probability Score: 90 (Very High), Estimated Win Probability: 100%

How to Use the Calculator

Follow these steps to estimate your board game win probability:

  1. Enter Player Skill Level: Rate your skill (1–5, 1 = novice, 5 = expert).
  2. Enter Game Complexity: Rate the game’s complexity (1–5, 1 = simple like Uno, 5 = complex like Twilight Imperium).
  3. Enter Number of Players: Input the number of players (2–8).
  4. Enter Luck Factor: Rate the game’s reliance on luck (1–5, 1 = low like Chess, 5 = high like Monopoly).
  5. Calculate: Click “Calculate Win Probability Score” to see the result.
  6. Interpret Result: The result shows a 0–100 score with a rating (Low: 0–25, Moderate: 25–50, High: 50–75, Very High: 75–100) and estimated win probability (%). If you see “Please fill in all fields,” ensure all inputs are valid.
  7. Share or Embed: Use the share buttons to post results on social media, copy the result, or get an embed code.

Note: This is a simplified model. Actual win probability depends on specific game mechanics, opponent skill, and random events. Use for fun, not precise predictions.