How FTM Games Implement Provably Fair Algorithms
FTM games implement provably fair algorithms by using cryptographic techniques, primarily hash functions and digital signatures, to generate and verify game outcomes. This system allows players to independently confirm that each round’s result was determined fairly and was not manipulated after their bet was placed. The core principle involves the game provider generating a secret seed and a public seed before a betting round begins. These seeds are combined with game-specific data (like a round ID) and run through a cryptographic function, such as SHA-256, to produce a result. The critical element is that the secret seed is revealed to the player after the round, enabling them to perform the same calculation to verify the outcome’s integrity. This creates a transparent and trustless environment where the fairness of every card dealt, dice roll, or slot spin can be mathematically proven.
The entire process hinges on the concept of a “commitment scheme.” Before you even place a bet, the platform commits to its secret seed by publishing its hash. Hashing is a one-way function; you can easily calculate a hash from a seed, but you cannot reverse-engineer the seed from the hash. This means the platform is locked into its secret number without revealing it. Once the betting round is closed, the platform reveals the secret seed. You can then take this seed, along with the public seed and the round ID, and input them into a FTM GAMES verifier tool (often available right on the website). If the calculated result matches the game outcome you witnessed, you have definitive proof that the game was fair. If it doesn’t match, you have evidence of foul play.
Let’s break down the typical lifecycle of a single provably fair round on a platform like FTM Games:
1. Seed Generation & Commitment: Before a round starts, the server generates a cryptographically secure random number called the Server Seed. It then creates a hash of this seed (e.g., using SHA-256). This hash is publicly displayed on the site. The platform also encourages you, the player, to provide a Client Seed. This can be a random string you choose or one generated for you. If you don’t set one, a default is used. This client seed is also public. The server is now committed to its secret server seed because any change to that seed would result in a completely different hash, which would be immediately obvious.
2. Gameplay and Result Calculation: You place your bet. Once the betting phase ends, the game’s outcome is calculated by combining the three key elements in a predetermined formula:
- Server Seed (still secret): The hidden key.
- Client Seed (public): Your input.
- Nonce/Round ID (public): A unique number for each round.
These values are concatenated (joined together) and hashed. The resulting hash, which is a long string of hexadecimal characters, is used to determine the game’s result. For example, in a dice game, the first X characters of the hash might be converted to a number between 0 and 9999 to represent the dice roll.
3. Seed Revelation and Verification: After the result is announced and the round is complete, the platform reveals the original Server Seed. You now have all the pieces of the puzzle. You can copy the Server Seed, Client Seed, and Nonce, and use the same hashing algorithm in a public verifier tool. The tool will output the same hash, and when converted into a game result, it will match what you saw on the screen. This process is repeatable by anyone, making it fully transparent.
The following table illustrates the data flow and who knows what at each stage:
| Stage | Data Known by the Player | Data Known by the Server | Critical Action |
|---|---|---|---|
| Before Betting | Client Seed, Hash of Server Seed | Server Seed, Client Seed, Hash of Server Seed | Server commits to the Server Seed by publishing its hash. |
| During Betting | Client Seed, Hash of Server Seed | Server Seed, Client Seed | Player places a bet. Server calculates the result internally but does not reveal it or the Server Seed. |
| After Round Ends | Client Seed, Server Seed, Game Result, Nonce | Client Seed, Server Seed, Game Result, Nonce | Server reveals the Server Seed. Player can now verify the result independently. |
Different game genres require slight variations in how the final hash is interpreted. A one-size-fits-all algorithm doesn’t work. Here’s how it adapts:
Dice Games: This is the most straightforward implementation. The resulting hash is converted into a large integer. For a game where you bet on a roll under a certain number, this integer is mapped to a range of 0 to 99,999, effectively creating a 5-digit dice roll with 100,000 possible outcomes. The probability is perfectly even across the entire range.
Card Games (Blackjack, Poker): Generating a fair deck is more complex. The standard 52-card deck has 52! (factorial) possible arrangements, an astronomically large number. The provably fair algorithm uses the hash output to simulate a Fisher-Yates shuffle. It generates a sequence of random numbers from the hash to determine the exact order of card shuffling and dealing. This ensures the deck order was predetermined before any cards were dealt and that the dealer did not manipulate the deck mid-game.
Slot Games: For slot machines, the hash result determines the position of each reel. A multi-reel slot might use different segments of the hash to set the stopping point for each individual reel. This guarantees that the combination of symbols was not chosen arbitrarily by the server after you pressed “spin.” The Return to Player (RTP) percentage is baked into the result calculation logic, but the final outcome for each spin is still derived from the initial seeds.
Crash and Multiplier Games: In these popular games, a multiplier climbs from 1x upwards and randomly “crashes.” The crash point is determined by the hash. A common method is to use a predefined “house edge” value. For example, with a 1% house edge, the algorithm calculates a crash point that ensures 99% of the money wagered is returned to players over an infinite number of rounds. The specific formula might look like this: Crash Point = (100 – House Edge) / (X), where X is a random number derived from the hash. This makes the game’s long-term statistics provable while maintaining the excitement of each round.
The strength of this system is directly tied to the quality of the initial random number generation (RNG). If the server’s “random” seed is predictable or biased, the entire provably fair model collapses. Reputable platforms use cryptographically secure pseudo-random number generators (CSPRNGs) that are designed to be unpredictable. These are often based on environmental noise from the server hardware or other entropy sources that are extremely difficult to guess. Furthermore, allowing players to influence the outcome by providing their own Client Seed adds another layer of security, as it prevents the platform from pre-calculating favorable outcomes based solely on their own seed.
While the concept is robust, its practical security depends heavily on correct implementation. A common pitfall is a platform reusing a Server Seed. If a seed is used for multiple rounds, it becomes possible for a player to predict future outcomes once the seed is revealed. Best practices dictate that a new Server Seed is generated for every round or that a chain of seeds is used, where the hash of one seed becomes the basis for the next, creating an unbreakable sequence. Players should always be able to access their historical seeds and game data to perform audits at any time. The true value of provably fair gaming is not just in the cryptographic theory but in the platform’s commitment to transparency and allowing players to be the ultimate auditors of their own luck.