Optimal Strategy Matrix Calculator

Solve strategy matrices using maximin, minimax, and dominance. Test custom payoffs with fast resizing controls. Review outputs, download reports, and compare decisions with confidence.

Calculator

Matrix Size and Precision

Row Labels and Probabilities

Column Labels and Probabilities

Payoff Entry Grid

Row \ Column Column 1 Column 2 Column 3
Row 1
Row 2
Row 3

Interpret each entry as the payoff to the row player. The calculator evaluates saddle points, dominance, regret, custom expected payoff, and 2×2 mixed strategies.

Example Data Table

Row Strategy Column A Column B Column C Row Minimum
Aggressive 8 2 6 2
Balanced 5 5 5 5
Defensive 3 7 4 3

Formula Used

Maximin: For each row, find the minimum payoff. Then choose the largest of those row minimums.

Minimax: For each column, find the maximum payoff. Then choose the smallest of those column maximums.

Saddle point: A saddle point exists when maximin equals minimax. That value is the equilibrium payoff in pure strategies.

Expected payoff: Multiply each payoff by its row probability and column probability, then sum all weighted cells.

Regret: For each column, subtract a cell from the best payoff in that column. Smaller maximum regret is preferred.

2×2 mixed strategy: For matrix values a, b, c, d, use p = (d − c) / (a − b − c + d), q = (d − b) / (a − b − c + d), and value = (ad − bc) / (a − b − c + d).

How to Use This Calculator

  1. Set the number of rows and columns for the payoff matrix.
  2. Enter row names, column names, and all payoff values.
  3. Optionally enter probability mixes for row and column strategies.
  4. Click Calculate Strategy to generate results above the form.
  5. Review maximin, minimax, saddle points, regret, and dominance notes.
  6. Use the CSV and PDF buttons to save the analysis.
  7. Use the Plotly graph to compare row minima, averages, and column maxima.

FAQs

1) What does this calculator solve?

It analyzes payoff matrices for zero-sum style strategy problems. It reports saddle points, maximin, minimax, regret, dominance, custom expected payoff, and 2×2 mixed strategies.

2) What is a saddle point?

A saddle point is a payoff that is simultaneously a row minimum and a column maximum. When it exists, both players have a stable pure-strategy outcome.

3) What if no saddle point exists?

Then pure strategies do not give a direct equilibrium value. Use the dominance review, regret table, expected payoff section, and the 2×2 mixed solver where applicable.

4) Does it solve larger mixed-strategy games exactly?

This page gives an exact closed-form mixed solution for 2×2 matrices. Larger matrices still receive strong decision support through the other strategic measures.

5) Why enter probabilities manually?

Manual probabilities let you test scenarios and compare expected outcomes. They are useful for sensitivity checks, policy choices, and teaching probability-weighted decisions.

6) What does dominance mean here?

A strategy is strictly dominated when another strategy performs at least as well in every case and better in at least one case. Dominated strategies are usually removable.

7) What is the regret matrix for?

The regret matrix shows the loss from not picking the best row in each column. It helps compare strategies when exact equilibrium is unclear.

8) Can I export the results?

Yes. The calculator includes CSV export for tabular records and PDF export for the displayed analysis section, including tables and the graph area.

Related Calculators

Paver Sand Bedding Calculator (depth-based)Paver Edge Restraint Length & Cost CalculatorPaver Sealer Quantity & Cost CalculatorExcavation Hauling Loads Calculator (truck loads)Soil Disposal Fee CalculatorSite Leveling Cost CalculatorCompaction Passes Time & Cost CalculatorPlate Compactor Rental Cost CalculatorGravel Volume Calculator (yards/tons)Gravel Weight Calculator (by material type)

Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.