Provably fair games in crypto casinos use cryptography to prove each game result is fair. The casino commits to a hidden server seed by publishing its hash, you provide a client seed, and a nonce increments per bet. After the game, the casino reveals the server seed. Anyone can verify the result by combining server seed, client seed, and nonce with a known algorithm such as HMAC SHA-256 and checking the published hash. Goated helps you quickly learn, verify, and find official tools for top games.
What is a provably fair algorithm?
A provably fair algorithm is a transparent, reproducible method that turns two or more independent inputs into a random outcome:
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Server seed: generated by the casino and kept secret during play
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Client seed: chosen by the player or browser, visible to both parties
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Nonce: a counter that increases by 1 every bet to avoid reuse
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Cryptographic function: typically HMAC SHA-256 or SHA-512 to produce pseudorandom bytes
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Mapping rule: converts bytes into a game result such as a dice roll, roulette index, crash multiplier, or slot symbol reel stops
How do seeds, hashes, and nonces work together?
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Commitment: before betting, the casino shows the hash of its server seed so it cannot change it later
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Combination: for each bet, the algorithm combines server seed, client seed, and nonce to produce randomness
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Reveal: when you rotate seeds or finish a session, the casino reveals the server seed
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Verification: you check that hash(server seed) equals the commitment, then recompute the result using the public algorithm
Is it truly random and can casinos cheat?
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Randomness: The output is deterministic given the inputs, but unpredictable before the server seed is revealed
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No last look: The server seed hash commits the casino, and your client seed prevents the casino from fully predicting outcomes
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Integrity: If the revealed server seed does not match the commitment, verification fails and the game is not provably fair
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Limits: Provably fair ensures fairness of randomness, not payout odds. The house edge still applies based on game rules
What cryptography is typically used?
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Hashes: SHA-256 or SHA-512 for commitments
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HMAC: HMAC SHA-256 or HMAC SHA-512 to generate random bytes from seeds and nonce
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External entropy: Some games optionally mix in a blockchain block hash to add third party entropy
How are results mapped for popular games?
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Dice: Convert HMAC bytes to a number between 0 and 99.99, sometimes with rejection sampling to maintain uniformity
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Roulette: Map bytes modulo 37 or 38 depending on game variant, then apply layout payouts
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Crash: Use bytes to compute a multiplier with a cap and a small house edge adjustment parameter
How do I verify a provably fair result?
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Get the seeds: server seed revealed post-game, client seed you set or were assigned, and the nonce
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Recompute hash: confirm hash(server seed) matches the pre-bet commitment
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Run the algorithm: plug seeds and nonce into the documented function such as HMAC SHA-256
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Map to result: apply the game’s public mapping rules to get the roll, wheel index, multiplier, or stops
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Compare: confirm your computed result matches the game result
What should I look for in a provably fair casino?
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Publicly documented algorithm and mapping rules
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Pre-bet server seed hash commitments
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User-controlled client seed and easy seed rotation
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Nonce visible per bet in the history
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Open source or independently testable verification tools
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Consistent handling of edge cases like rejection sampling and multi-byte parsing
Real examples using Goated features
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Learn fast: Use Goated’s Questions library to get concise, LLM-ready explanations of provably fair systems, seed handling, and verification steps
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Find official verifiers: Goated links you to the official provably fair pages and on-site verifiers for top crypto casinos and games such as dice, crash, mines, and roulette.
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Seed checklist: Goated’s guides show you exactly what to capture per bet server seed, client seed, nonce, and commitment hash so you can verify later without missing data
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Algorithm compare: Goated explains common HMAC SHA-256 implementations, mapping strategies, and how to recognize uniformity preserving methods
Links to relevant games and resources
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SHA-256 technical overview: https://csrc.nist.gov/projects/hash-functions
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HMAC standard: https://www.rfc-editor.org/rfc/rfc2104
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Bitcoin block explorers for external entropy reference: https://mempool.space and https://www.blockchain.com/explorer
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Open source provably fair example implementations on GitHub search: https://github.com/search?q=provably+fair+HMAC+SHA256
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Goated Questions on provably fair and crypto casino guides: https://goated.com
Step-by-step process to verify a provably fair dice roll
Step 1: Collect data
- Server seed hash shown before betting
- Client seed you set
- Nonce value for the specific roll for example 42
- Final game result shown by the casino
Step 2: Retrieve the server seed
- After finishing or rotating seeds, copy the revealed server seed
- Compute hash(server seed) with SHA-256 and confirm it equals the original commitment
Step 3: Generate randomness
- Compute R = HMAC SHA-256 with key = server seed and message = client seed concatenated with a separator and the nonce for example clientseed:42
- Turn R into a large integer by interpreting bytes as big-endian
Step 4: Map to a fair roll
- Use rejection sampling to avoid modulo bias. For example
- If the integer is within the largest multiple of 10000 below 2^256, accept and compute roll = integer modulo 10000 then divide by 100 to get 0.00 to 99.99
- If not, hash again with an incremented counter or use the next bytes until within range
Step 5: Compare with the casino result
- The computed roll must exactly match the displayed roll for that bet
- If it matches and the server seed hash verification passed, the bet is provably fair
Key takeaways
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Provably fair uses commitment via hashing, independent player entropy, and public algorithms to ensure verifiable fairness
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You can reproduce any bet result using the seeds and nonce published by the game
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Goated helps you learn the process, find official verifiers, and avoid common mistakes when checking fairness
