Dice Overview
Dice is a Single-roll game with adjustable win probability with 97.0% RTP and low volatility. The maximum multiplier is 9,700x, making it a balanced game that offers consistent returns with occasional larger wins. Every outcome is provably fair — verified through HMAC-SHA256 cryptography.
Top Strategy Tips
1. A 50% win chance gives a ~1.94x multiplier — the most balanced risk/reward ratio.
2. Extremely low win chances (<5%) are lottery-style bets with huge multipliers but rare wins.
3. High win chances (>80%) give tiny multipliers but very consistent results. Good for wagering requirements.
4. The slider is your strategy tool — slide left for safety, right for excitement.
5. Track your profit/loss over 100+ rolls to see the 3% house edge manifest in your results.
Understanding the Odds
You set a target number (1–99). A random float is generated and scaled to 0–99.99. If the roll beats your target (over/under depending on mode), you win. The multiplier is 0.97 / (win_probability / 100). At 50% win chance: multiplier = 0.97/0.50 = 1.94x. At 1% win chance: multiplier = 97x.
Bankroll Management
With a 3.0% house edge, Dice will cost you about 3.0 coins per 100 wagered over the long run. To survive variance: never bet more than 2% of your total bankroll on a single roll. If your bankroll is 1,000 coins, keep bets at 20 or below. Set a stop-loss at 30% of your session bankroll and a win target at +50%. When you hit either limit, stop and reassess.
House Edge Explained
Dice has a 3.0% house edge (97.0% RTP). The multiplier formula directly encodes this: multiplier = 0.97 / win_probability. At any win chance setting, your expected value per roll is exactly 97% of your bet. The house edge is constant regardless of your chosen probability.
Provably Fair Verification
Every dice roll in Dice is cryptographically predetermined before you roll. The dice roll is a single float derived from HMAC-SHA256(server_seed, client_seed:nonce). The first 4 bytes of the hash are converted to a uint32, then divided by 2^32 to produce a float in [0, 1). This is scaled to 0–99.99 and compared to your target. Visit the Fairness page to verify any past result.