Bitsler Audit: 2,000,000 Games Tested — Blast + Flash Roulette Full Hash Chain Reconstruction

We audited two Bitsler games — Blast (crash) and Flash Roulette — using their publicly disclosed server seeds and Bitcoin block hashes. No casino account needed. No API access requested. No permission asked. Just pure cryptographic reconstruction from public data.

Two million rounds. Two different game algorithms. One verdict.

TL;DR

Both games pass every meaningful statistical test. The underlying RNG is clean, the hash chains are intact, and the house edge matches the mathematical expectation exactly.

What We Tested

Bitsler Blast (Crash Game)

Blast is Bitsler's crash game. A multiplier starts at 1.00x and rises until it "crashes" at a randomly determined point. Players bet on when to cash out. The crash point is calculated from a SHA-512 hash chain combined with a Bitcoin block hash via HMAC-SHA512.

Bitsler Flash Roulette

Flash Roulette is European-style roulette (numbers 0-36) with multiplier bonuses. The winning number is determined by the same SHA-512 hash chain architecture, but uses a completely different formula: the HMAC output is converted to a roulette number via modulo 37.

Both games share the same cryptographic foundation but produce fundamentally different types of outcomes — continuous multipliers vs. discrete numbers. Testing both gives us a complete picture of Bitsler's RNG implementation.

How We Obtained the Data

This is the part that matters most. Every number in this report can be independently verified by anyone with basic programming knowledge.

Step 1: Public Server Seeds

When Bitsler relaunches a game with a new hash chain, they disclose the previous server seed. This is standard practice for provably fair games — the seed is useless after the chain is exhausted, so publishing it proves they didn't cheat.

Step 2: Hash Chain Reconstruction

Starting from the server seed, we computed 1,000,000 SHA-512 hashes for each game. The chain works forward (each hash is the SHA-512 of the previous one), but games play in reverse — Game 1 uses the last hash in the chain.

The terminating hash (SHA-512 of the final chain element) must match what Bitsler published before any games were played. Both chains verified perfectly.

Step 3: Game Outcome Calculation

For each of the 2,000,000 game hashes, we computed the outcome using Bitsler's published formulas:

// BLAST (Crash) — crash point from HMAC
hmac = HMAC-SHA512(gameHash, blockHash)
number = parseInt(hmac.substring(0, 13), 16)
multiplier = floor(98 / (1 - number / 2^52)) / 100
crashPoint = max(1.00, multiplier)

// FLASH ROULETTE — number from HMAC
hmac = HMAC-SHA512(gameHash, blockHash)
// Extract 5 hex chars, convert to int
// If > 999999, advance and retry
rouletteNumber = validInt % 37

Step 4: Statistical Testing

We ran the full NIST SP 800-22 statistical test battery (15 tests) plus 4 additional tests on both datasets. The NIST suite is the gold standard for RNG evaluation — it's what government agencies use to certify cryptographic random number generators.

How to Reproduce This Audit

Our entire audit toolkit is open source. Clone the repository, run the collectors, run the tests. If you get different numbers, something is wrong — and we want to know about it.

# Clone the toolkit
git clone https://github.com/GuidoHam/provably-fair-audit
cd provably-fair-audit

# Collect Bitsler Blast (1M crash games)
node src/bitsler-collector.js --count 1000000

# Collect Bitsler Flash Roulette (1M roulette rounds)
node src/bitsler-roulette-collector.js --count 1000000

# Run the NIST test battery
node src/rng-tester.js --input data/bitsler-blast-1M-*.json
node src/rng-tester.js --input data/bitsler-roulette-1M-*.json

Total runtime: approximately 20 seconds per game on a standard machine. The hash chain generation takes about 2 seconds, outcome computation about 8 seconds.

Test Results: Blast (1,000,000 Crash Games)

NIST SP 800-22 Battery

Additional Statistical Tests

Blast Key Statistics

The one marginal result (Maurer Universal at p=0.0075) is statistically expected. When running 19 independent tests, the probability of at least one falling below p=0.01 is approximately 17%. This is not evidence of manipulation — it's evidence that statistics work.

Test Results: Flash Roulette (1,000,000 Rounds)

NIST SP 800-22 Battery

The NIST battery was run on the raw HMAC outputs (52-bit floats), the same cryptographic layer that feeds the roulette number calculation. Results mirror the Blast audit — both games draw from the same quality of randomness.

Roulette Distribution Analysis

A Chi-Square value of 22.24 with 36 degrees of freedom is almost textbook perfect. The critical value at α=0.05 is 50.998 — we're well below it. The maximum deviation of any single number from expected frequency is just 1.06%. Over a million rounds, that's noise.

The color distribution is eerily precise: red and black are within 0.01% of the theoretical value. The house edge (green/zero frequency) lands at 2.695%, virtually identical to the mathematical expectation of 2.703% (1/37).

Technical Architecture

Hash Chain Integrity

Both games use identical chain architecture: a server seed is hashed 1,000,000 times via SHA-512, producing a deterministic chain. The terminating hash is published before any games are played, locking in all future outcomes.

We verified chain integrity in three ways:

• Forward computation: 1M SHA-512 hashes from seed → terminating hash matches Bitsler's published value
• Reverse verification: For 100 consecutive games, SHA-512(Game N+1 hash) = Game N hash
• Cross-validation: Independent recomputation of the full chain produces identical results

Why Two Games Matter

Testing a single game proves the RNG works for that specific formula. Testing two games with different outcome calculations — continuous multipliers (Blast) and discrete numbers (Roulette) — proves the underlying cryptographic layer is sound regardless of how outcomes are derived from it.

If Bitsler wanted to manipulate results, they'd need to find SHA-512 collisions or predict HMAC outputs — both computationally impossible with current technology. And they'd need to do it for two different game algorithms simultaneously.

What This Means

For Players

• Blast: The crash points are generated fairly. The 2.97% instant crash rate matches the mathematical formula (98 in the numerator = 3/101 house edge). No evidence of outcome shaving or manipulation.
• Flash Roulette: Every number 0-36 appears with equal probability. The chi-square test shows the distribution is indistinguishable from a perfectly fair wheel. No number is rigged.
• Both games: You will still lose money long-term. The house edge is real and mathematically guaranteed. But the randomness is genuine — you have exactly the odds the math says you have.

For the Industry

Bitsler's decision to disclose server seeds after chain exhaustion makes independent auditing possible without any cooperation from the casino. This is how provably fair should work: public data, public formulas, public verification. Every casino that claims provably fair credentials should be held to this standard.

Limitations

• RNG only: This audit tests randomness and mathematical fairness. It does not test game logic, payout processing, withdrawal reliability, or customer service.
• Historical data: These hash chains are from completed games. The current active chains cannot be audited until Bitsler discloses their seeds (which happens at the next relaunch).
• Platform trust: We verified that the math is fair. We cannot verify that Bitsler actually used these specific hash chains in production. Players should always verify individual game hashes against the published chain.
• Maurer Universal test: Marginal result (p=0.0075) in both games. This is expected statistical variance, not a concern — but we report it for complete transparency.
• No game logic audit: Flash Roulette has multiplier bonuses. We tested the main roulette number generation, not the multiplier assignment algorithm. The multiplier distribution would require a separate analysis.

Raw Data and Full Transparency

Blast Server Seed (Full)

0d237231f36c4c9b225cddccefe1e26805d6c6d9b6e4541397ae9c82f0c94fb1c7b593ea8558c242fdecd8e6341b7a77b8feabe0bfe791c542940846606e1025

Flash Roulette Server Seed (Full)

46754072ddcdcecd9c77b48c7e11f6d138eca5032539be629ba5071b9d0b47b42afd1cbcaee3293d5c8e7943cd79e40a2ad52c64b4e5d5f6e466fb381fcd1106

Bitcoin Block Hashes

Blast — Block #608891:
000000000000000000040a829189c5732460c94bc58926ea49d0e6918e396e31

Flash Roulette — Block #668720:
0000000000000000000263136f3a3329bf3af2f4795e66015e71308be68e6cd7

Verified Terminating Hashes

Blast:
fc4fb4a7ba8187369e0906b47019cd328f42cc021706bbac2529a95141629ea3
ec3e994e32bc0b542b39a4b57275616370bda8370a2716b58c942fd69512a10d

Flash Roulette:
4c28a546da313d86a9ca42c59e833c179275ae0397893e92685ff414a17fe1ee
963623a18c673171e0ee77204252c8fa0b7f629630861f53ea7b94a13f205e9b

Complete datasets (2M+ game outcomes, verification files, and all test results) are available in our open-source repository.

The Bottom Line

We tested 2,000,000 Bitsler games across two different game types. We reconstructed every single outcome from publicly available cryptographic data. We ran the same statistical battery that governments use to certify random number generators.

The result: Bitsler's RNG is clean. Both Blast and Flash Roulette produce outcomes that are statistically indistinguishable from perfect randomness. The house edge is exactly what the math predicts — no more, no less.

This doesn't mean you'll win. The house always has an edge, and over enough games, that edge is a mathematical certainty. But it does mean the game is fair. The dice aren't loaded. The wheel isn't rigged. The crash isn't manipulated.

That's what provably fair is supposed to mean. And for Bitsler — across 2,000,000 games — it does.

FairPlay Audit is an independent RNG testing service. We are not affiliated with, endorsed by, or compensated by Bitsler. This audit was conducted using publicly available data and open-source tools. Our complete methodology and source code are available at github.com/GuidoHam/provably-fair-audit.