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REEL 03 — FEATURE

EDITORIAL

Can ViaBTC Mining Statistics Improve Your Mining Strategy?

By admin· · StoryboardTemplate.net

Editor's note

This dispatch examines pre-production workflow for directors pitching client work, drawn from interviews with working storyboard artists and post-production supervisors across agency and indie sectors.

ViaBTC | ViaBTC|All Things You Need to Know about the Transaction Fee of a  Mining Pool

ViaBTC Mining Statistics can improve mining strategy when miners compare pool data with their own hashrate, uptime, electricity cost, and payout records instead of reading one number in isolation. In September 2026, ViaBTC listed network hashrate at 938.03 EH/s, pool hashrate at 98.79 EH/s, difficulty at 125.81 T, and daily earnings around $0.039/T. Its displayed 3-day, 7-day, and 30-day pool luck figures were 98.44%, 91.05%, and 92.02%. Those figures can help miners assess whether lower earnings come from hardware performance, network conditions, pool luck, or payout structure.

A miner should first compare the hashrate shown by the ASIC with the hashrate recorded by the pool. ViaBTC explains that local hashrate is estimated by the machine from its own work, while pool-side hashrate is estimated from shares received and accepted by the pool. The two figures therefore use different data and different time windows. A 2% to 5% gap over a short period does not automatically indicate a hardware fault, while a persistent gap over several hours deserves inspection.

For example, a farm rated at 2 PH/s may show 2.00 PH/s on its local dashboards while ViaBTC records an average of 1.90 PH/s over a longer period. The difference is 100 TH/s, or 5% of installed capacity. At that point, checking worker status, connection stability, rejected shares, power conditions, and temperature is more useful than restarting every ASIC.

The time window also matters. A five-minute pool reading can move away from the local figure because the pool is estimating hashrate from submitted shares. A six-hour average gives a different picture, while a full Bitcoin difficulty epoch provides an even longer reference. Bitcoin difficulty is adjusted every 2,016 blocks, with a target period of roughly 14 days under the protocol.

A miner that sees a 4% hashrate gap for 10 minutes has a different problem from one that records the same 4% gap for 48 hours.

The second useful comparison is between installed hashrate and effective hashrate. Consider 50 ASICs rated at 200 TH/s each. Their nameplate capacity is 10 PH/s. If the pool records an average of 9.6 PH/s, the operation is delivering about 96% of its rated capacity. If that 4% difference repeats for 30 days, the missing computing capacity is equivalent to 0.4 PH/s operating continuously for the same period.

This is why worker-level records matter. One offline 200 TH/s machine represents 2% of a 10 PH/s farm. If it stays offline for 12 hours, the unavailable capacity is 2,400 TH-hours. Five similar incidents across a month would remove 12,000 TH-hours from the farm's productive capacity.

ViaBTC provides worker monitoring and hashrate alerts that can help identify miners with abnormal hashrate or offline status. The practical use is not to inspect 500 workers manually every morning. An operator can set a normal range and investigate machines that remain outside it for a specified period, such as 30 minutes or 1 hour.

The same data can be used to separate network conditions from hardware conditions. ViaBTC's statistics page recently showed network hashrate around 938.03 EH/s and pool hashrate around 98.79 EH/s. The pool therefore represented roughly 10.5% of the displayed network hashrate at that snapshot. The exact percentage changes continuously as network and pool hashrate change.

If an individual miner keeps 1 PH/s while the network grows from 900 EH/s to 990 EH/s, that miner's share of network computing falls by about 9.1% even though the machine itself has not slowed down. That distinction matters when projecting future BTC output. A stable ASIC can still face a lower share of network production when competing hashrate increases.

Difficulty adds another layer. ViaBTC listed Bitcoin difficulty at 125.81 T in the September 2026 snapshot and estimated the next adjustment at 125.01 T, or approximately -0.63%. A lower difficulty generally allows the same hashrate to produce more expected BTC than under a higher difficulty, assuming other conditions remain comparable.

For a 1 PH/s operation, the useful comparison is not simply today's dollar income. The miner can record revenue per TH/s, electricity cost per TH/s, and BTC produced per day, then compare the same measurements after each difficulty adjustment. A 3% improvement in BTC output per TH/s can matter even when the BTC/USD price changes by 8% during the same period.

Price changes and mining performance should be recorded as separate fields.

Pool luck is another statistic that needs a time window. ViaBTC recently displayed 3-day luck of 98.44%, 7-day luck of 91.05%, 30-day luck of 92.02%, and total luck of 99.73%. A 7-day figure at 91.05% does not show that an ASIC is producing 8.95% less hashrate. It describes how the pool's block-finding result compared with statistical expectation during that period.

That distinction becomes more important under PPLNS. ViaBTC states that PPLNS payments are based on the miner's hashrate share over the last 5 difficulty rounds when a block reaches 6 confirmations. The published fee for PPLNS is 2%. Under PPS+, the documented fee structure is 4% for the block-reward component and 2% for the transaction-fee component, with hourly allocation for the PPS portion.

For a miner producing $100 of gross monthly mining income, a 2% fee represents $2 before other costs. Under a simplified comparison, a 4% fee on $100 represents $4. The difference is only $2 per $100, but at $100,000 of monthly gross production it becomes $2,000. That is why payout method should be assessed against operating scale rather than only against the headline fee percentage.

PPS+ and PPLNS also expose miners to different timing patterns. ViaBTC describes PPS+ as a method intended for miners seeking more stable income, while PPLNS passes more of the pool's actual block-finding variation to miners. The company also states that long-term results can be similar, although short-term payouts can differ because of luck.

For a facility with a $50,000 monthly electricity bill, cash-flow stability may matter more than a small difference in pool fees. A smaller operation with several months of operating cash may be more comfortable with PPLNS variance. The appropriate choice therefore depends on payment timing, electricity obligations, and how long the miner plans to keep the same hashrate connected.

ViaBTC Mining Statistics can also be used to build a simple monthly operating record. A useful table would contain the following fields:

Metric Example reading Why record it
Installed hashrate 10 PH/s Hardware capacity
Pool hashrate 9.6 PH/s Effective pool-side output
Uptime 98.5% Availability
Network hashrate 938.03 EH/s Competitive environment
Difficulty 125.81 T Expected BTC output
30-day pool luck 92.02% Block-finding history
Electricity cost $0.065/kWh Operating expense
Pool fee 2% or 4% Settlement cost

The table becomes more useful when recorded for several months. If effective hashrate stays between 9.55 and 9.75 PH/s while the local dashboard stays close to 10 PH/s, the operator has a measurable baseline. If it suddenly falls to 9.1 PH/s, the 6% decline can be checked against worker logs and network records rather than treated as normal noise.

Electricity should be connected to the same record. Suppose a 10 PH/s farm consumes 300 kW and operates for 24 hours. Daily electricity use is 7,200 kWh. At $0.065/kWh, the electricity bill for one day is $468. If a sustained 4% output reduction occurs while power consumption stays unchanged, the farm still pays for 300 kW while producing less computing work.

Hardware efficiency provides another comparison. Two ASIC fleets can both produce 1 PH/s while using different amounts of electricity. A fleet drawing 30 kW and another drawing 35 kW differ by 5 kW. Over 30 days, the extra consumption is 3,600 kWh. At $0.065/kWh, that gap costs approximately $234 per month before considering maintenance or hosting charges.

This makes revenue per TH/s only one part of the assessment. Revenue per kWh can reveal another difference that hashrate alone cannot show. For older hardware, a 5% improvement in effective hashrate may not compensate for a 10% increase in power consumption, especially when electricity accounts for 60% to 80% of the site's operating cost.

The same principle applies to overclocking. An ASIC might rise from 200 TH/s to 215 TH/s, which is a 7.5% local increase. If pool-side effective hashrate rises only from 195 TH/s to 202 TH/s, the measured production improvement is about 3.6% rather than 7.5%. If power consumption rises from 3.2 kW to 3.6 kW, electricity use has increased by 12.5%.

That comparison gives miners a practical way to judge tuning changes. Keep the original setting for 24 to 48 hours, record pool-side hashrate and power use, then compare the same measurements after the change. A setting that raises local hashrate but reduces output per kWh may not be suitable for continuous operation.

A full difficulty epoch provides another useful reference period. ViaBTC recently described a 2,016-block epoch as a consistent period for comparing hardware data, pool statistics, and settlement records, while noting that block arrivals and transaction fees remain probabilistic.

For a miner running 5 PH/s, record at least four values for that period: average pool-side hashrate, BTC credited, electricity consumed, and total pool fees. Add network difficulty and pool luck. After 2,016 blocks, the operator can compare one period with the previous period without relying on a single day's unusually high or low block count.

A useful monthly review can therefore look like this:

Measure Month 1 Month 2 Change
Average effective hashrate 4.92 PH/s 4.78 PH/s -2.85%
Uptime 99.1% 98.0% -1.1 pts
Energy use 108,000 kWh 108,500 kWh +0.46%
BTC credited 0.072 BTC 0.068 BTC -5.56%
Pool fee 2% 2% 0 pts

Here, the 5.56% fall in BTC credited is larger than the 2.85% hashrate decline. The operator can then check whether network difficulty, pool luck, transaction-fee conditions, or worker downtime explains the remaining difference rather than assuming that every dollar decline came from the ASIC fleet.

Market price should be kept separate from this record. A 12% BTC price increase can raise the USD value of mined BTC while physical BTC production is falling. Conversely, a 10% price decline can reduce USD revenue while the miner's BTC output remains stable. Pool statistics are more useful for measuring mining performance in BTC or per-unit-hash terms than for explaining every change in fiat revenue.

ViaBTC also reports block records and orphan statistics on its public statistics page. The recent page showed 52,780 total pool blocks and 19 orphan blocks, with an orphan rate of 0.03%. Such figures can provide historical context, but they should not be interpreted as a permanent future rate.

A miner comparing pools should collect the same measurements for each pool over a comparable period. For example, after 30 days, compare average effective hashrate, credited BTC per PH/s, fee rate, rejected-share behavior, payout timing, and observed connectivity. A pool that advertises a 1% lower fee does not automatically produce a better result if its observed effective hashrate is consistently 2% lower.

The useful role of ViaBTC statistics is therefore practical: they give miners numbers that can be matched against ASIC telemetry, electricity meters, payout records, and network conditions. A 1% change can be noise over 10 minutes, while a 1% difference sustained for 365 days can represent a substantial amount of computing capacity. A 5% hashrate gap, a 12.5% power increase, a 0.63% projected difficulty change, or a 2% fee difference each tells a different part of the mining economics, so they should be recorded together rather than treated as isolated dashboard figures.

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