How to win β€” data-backed strategy guides

Most "strategy" guides are someone's gut feeling. Ours are built from our own simulations and exact solvers β€” a Monte-Carlo model of Monopoly, an optimal dynamic-programming solve of Yahtzee, full dice enumeration for Risk, and the exact 2d6 math for Catan β€” so the advice is backed by original, reproducible numbers.

Each guide self-validates its math against known results before we publish a single figure (Yahtzee solves to the famous ~254.6 average; Risk reproduces the published combat tables; Catan matches the exact token pip values). The methods and source live in our sims/ folder.

πŸ“Š Data-backed How to Win Monopoly 6,000,000 simulated turns Β· best properties, ROI, build & jail strategy πŸ“Š Data-backed How to Win Yahtzee Solved exactly via dynamic programming Β· optimal β‰ˆ 254 pts Β· keeps & category EVs πŸ“Š Data-backed How to Win Risk Exact dice enumeration Β· single-roll odds, conquer matrix & the army edge you need πŸ“Š Data-backed How to Win Catan Exact 2d6 math Β· number probabilities, the count-the-pips method & opening placement πŸ“Š Data-backed How to Win Magic: The Gathering Exact hypergeometric mana math Β· keepable-hand odds, the land-count screw-vs-flood trade-off & mulligans πŸ“Š Data-backed How to Win Undaunted: Normandy Exact d10 combat odds Β· the dice-vs-defence hit matrix & what cover and range really cost πŸ“Š Data-backed How to Win Champions of Midgard Exact Viking-dice math Β· the three dice compared & how many it takes to kill each monster πŸ“Š Data-backed How to Win Battleship 1,000,000-game Monte-Carlo comparison Β· probability-density targeting sinks the fleet in 45.6 shots vs 95.4 random πŸ“Š Data-backed How to Win UNO Full-round Monte-Carlo simulation Β· does Draw-card stacking really change how long a game takes? πŸ“Š Data-backed How to Win Ticket to Ride Full-game Monte-Carlo strategy comparison Β· ticket-pathfinding wins 89% vs 4% for long-route chasing πŸ“Š Data-backed How to Win Backgammon Published GNU Backgammon rollout equities vs. our own simplified simulation Β· an honest agree/disagree breakdown