What Do ViaBTC Mining Statistics Show About Hashrate Performance?

ViaBTC statistics show that hashrate performance is better judged through several linked measurements than through raw TH/s alone. In September 2026, ViaBTC reported about 98.79 EH/s against 938.03 EH/s for the Bitcoin network, giving the pool roughly 10.5% of observed network hashrate. Its published figures also showed 3-day luck of 98.44%, 7-day luck of 91.05%, 30-day luck of 92.02%, total luck of 99.73%, and an orphan rate of 0.03%. (ViaBTC)

A useful reading starts with the difference between machine-reported and pool-reported hashrate. ViaBTC states that its real-time hashrate uses an average from the previous 10 minutes, while mining equipment can refresh its own figure every 5 seconds. Its daily hashrate uses a 24-hour average. A machine that has been online for only 6 hours can therefore show a stronger local average than the pool’s daily figure without having a hardware fault.

“The comparison should be made over the same time window before a hashrate gap is treated as a problem.”

For example, assume an ASIC reports 200 TH/s locally. If ViaBTC shows 196 TH/s after a full day, the difference is 2%. That level can come from measurement intervals, network delay, or normal submission losses. A persistent 10% gap across several days deserves a different review: rejected shares, network equipment, firmware, temperature, frequency settings, and hardware boards should be checked in that order. ViaBTC specifically lists network latency, old firmware, rejection rate, and overclocking among the causes of lower pool-side hashrate.

Rejection rate gives the raw hashrate number more context. ViaBTC says a rejection rate within 3% is considered normal and advises checking the network, machine temperature, and firmware when the rate is high or changes sharply.

The arithmetic also shows why accepted work matters more than the dashboard peak. A 205 TH/s miner with 4% rejected work produces an illustrative 196.8 TH/s of accepted output, while a 200 TH/s miner at 0.5% rejection produces about 199 TH/s. The second machine can therefore contribute more accepted work despite reporting 5 TH/s less locally.

Pool size adds another reference point. In the September 2026 ViaBTC snapshot, 98.79 EH/s represented about 10.53% of the 938.03 EH/s network hashrate. That share can be compared with block production over longer periods, but a one-day block count is not a clean measure of hardware quality because Bitcoin mining is probabilistic. ViaBTC’s own 3-day luck of 98.44% and 7-day luck of 91.05% show how short periods can sit below 100% even when the pool’s long-term luck was 99.73%.

A 91.05% seven-day luck figure does not say that 9% of the machines stopped working.

It says that actual block discovery during that window was below the statistical level associated with the pool’s work. The longer reference period matters. If a pool reports 99.73% total luck while a seven-day reading is 91.05%, the two figures can coexist without any contradiction. Miners should therefore avoid changing hardware settings merely because a short luck period is weak.

Network difficulty must be read beside hashrate. ViaBTC’s September 2026 page listed current Bitcoin difficulty at about 125.81 T and estimated the next adjustment near 125.01 T, a projected decrease of 0.63%. A miner running at 200 TH/s does not become faster or slower because difficulty changes, but the amount of BTC expected from that hashrate changes.

A simple comparison shows the scale. Against an 800 EH/s network, 200 TH/s represents 0.000025% of network computing power. Against 1,000 EH/s, the same machine represents 0.000020%. The machine still produces 200 TH/s, but its share of total network work has fallen by 20%.

That relationship also explains why revenue per TH/s should be monitored together with equipment output. ViaBTC’s September 2026 statistics showed estimated daily earnings of about $0.039 per TH/s. At that reference rate, 200 TH/s corresponds to roughly $7.80 in daily gross mining revenue before electricity and other operating costs, while 1 PH/s corresponds to about $39.

For a more practical estimate, miners can use the ViaBTC Mining Calculator and compare the displayed result with their own power rate. A 3.2 kW miner operating 24 hours uses 76.8 kWh per day. At an electricity price of $0.06/kWh, that is $4.61 per day in electricity alone. At $0.10/kWh, the same machine uses about $7.68 per day. The same hashrate can therefore produce very different operating margins at 6¢ and 10¢ per kWh.

The payment method also changes how miners should read daily results. ViaBTC states that PPS+ uses a 4% fee for the PPS block-reward component and a 2% fee for the transaction-fee component. PPLNS uses a 2% fee, with the user’s reward based on the user hashrate share and the pool reward under the stated calculation rules. For PPS+, ViaBTC says payouts are calculated hourly using current difficulty; for PPLNS, the calculation uses hashrate from the last 5 difficulty rounds after a block reaches 6 confirmations.

That difference matters when a miner compares yesterday’s payment with today’s payment. A short PPLNS period can move with pool block discovery, while PPS+ is designed around submitted shares and current network difficulty. A 2% pool fee and a 4% pool fee should also not be compared as if they applied to identical reward components.

ViaBTC’s block statistics provide another useful check. The September 2026 page listed 52,780 total blocks, 19 orphan blocks, and an orphan rate of 0.03%. Nineteen orphan blocks across 52,780 total blocks is a small share, but the number still matters when reviewing how efficiently discovered blocks are propagated and retained by the network.

Low orphan rates do not prove that an individual miner has perfect connectivity, but they provide context for pool-wide block handling.

At the worker level, long-term samples are more useful than one dashboard refresh. A farm with 500 ASICs can group machines by model, firmware version, rack, network switch, and operating temperature, then compare 24-hour and 7-day hashrate averages. If 40 machines on one switch show an 8% lower pool-side average while 460 machines remain within 2%, the network segment deserves attention before changing ASIC frequency.

Temperature can also affect the result. ViaBTC notes that overheating can reduce hashrate and raise rejection rates. A machine that reaches 75°C during a hot period and records 3.8% rejection should be assessed differently from a machine that stays near the same hashrate at 1.0% rejection across 7 days.

Firmware and overclocking add another layer. ViaBTC advises checking firmware compatibility and reducing frequency when local and pool hashrate differ significantly while rejection levels remain abnormal or hardware settings are aggressive. For a 200 TH/s machine, a 10% apparent hashrate increase to 220 TH/s has little appeal if error rates rise enough to reduce accepted work or uptime.

A useful monitoring sheet can stay compact:

Reading these figures together gives a more consistent assessment than using any single number. A 2% hashrate gap with 1% rejection over 30 days is very different from a 10% gap with 4.5% rejection over the same period. The first pattern can fit normal measurement and network conditions; the second gives miners several specific areas to inspect, especially because ViaBTC places 3% as its normal rejection reference point.

The same approach applies to changes in daily income. If hashrate stays near 200 TH/s, rejection stays below 3%, and electricity consumption remains near 76.8 kWh per day, a sudden revenue decline should first be compared with BTC price, network difficulty, pool luck, and the chosen payment method. If hashrate falls from 200 TH/s to 175 TH/s while rejection rises from 1% to 4%, the review shifts toward connectivity, heat, firmware, frequency, or hardware.

ViaBTC’s public statistics therefore provide enough separate measurements to build a practical performance record: network share, pool hashrate, daily earnings, difficulty, luck, orphan rate, and worker-level submission data. Using 24-hour, 7-day, and 30-day intervals makes it easier to distinguish a temporary statistical result from a repeatable operating pattern, while percentages such as the 3% rejection reference and the 10.53% pool-to-network hashrate share give the raw TH/s readings a measurable frame.