SOH (Stohn) Solo Mining Calculator

Estimate how long it takes to solo mine a block of SOH (Stohn) with your own hardware. BackPow combines the live Stohn network difficulty with your hashrate to compute the expected block time, the cumulative probability of finding a block over day, month and year, and the expected mining revenue in SOH and USD.

SOH network stats

How SOH solo mining odds are calculated

Each hash is an independent attempt, so block discovery is memoryless and follows an exponential distribution. The average time to a block is T = network_hashrate ÷ your_hashrate × block_time. The chance of hitting at least one block within a period t is then given by the Poisson relation P = 1 − e^(−t/T) — the realistic probability, not a misleading linear one.

Frequently asked questions

How long does it take to solo mine one SOH block?

It depends on your hashrate relative to the SOH network hashrate (127.75 GH/s). Because hashing is memoryless, the time to find a block follows an exponential distribution: on average T = network_hashrate / your_hashrate × block_time. Enter your hashrate in the BackPow SOH solo calculator to get the exact expected time.

What is the SOH block reward?

The current SOH block reward is 50 SOH. BackPow tracks the 24h block reward and values a discovered block in both SOH and USD using live market prices.

Is solo mining SOH (Stohn) profitable?

Solo mining SOH profitability depends on your hashrate, electricity cost and pool fees versus the block reward value and how often you expect to find a block. The BackPow calculator shows daily, monthly and yearly gross revenue and net profit so you can decide.

What algorithm does SOH use?

SOH (Stohn) uses the Scrypt proof-of-work algorithm. You can mine it with any Scrypt-capable ASIC, GPU or CPU listed in the BackPow hardware database.

What are the odds of finding a SOH block?

BackPow models the cumulative probability of finding at least one block over a day, week, month or year with the Poisson formula P = 1 − e^(−t/T), giving a realistic chance instead of a naive linear estimate.

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