Why Should You Use ViaBTC Mining Statistics for Data Insights?
ViaBTC Mining Statistics gives miners a way to compare local hashrate, pool-side hashrate, worker status, rejected shares, earnings, payout records, network hashrate, and difficulty in one mining workflow. For example, ViaBTC states that a rejection rate around 3% is its general operating guidance, while a persistent 3% rejection rate on a 10 PH/s farm would represent roughly 300 TH/s of submitted capacity not being accepted under a simple approximation. That makes pool statistics useful for checking real operating performance rather than relying only on ASIC specifications.
A miner rated at 200 TH/s can still show different results locally and at the pool because pool-side hashrate is estimated from submitted shares over a defined period. ViaBTC explains that short-term pool hashrate can move as shares arrive unevenly, while rejected or stale submissions and network conditions can widen the difference. A five-minute reading and a 24-hour average should therefore never be treated as identical measurements.
A 200 TH/s ASIC that averages 194 TH/s at the pool for a full day should be judged differently from one that briefly reports 185 TH/s during a short connection interruption.
Worker-level statistics add another layer of detail. A farm with 100 ASICs may show only a 1% change when one machine stops, even though that single unit can account for the entire decline. ViaBTC provides worker status and last-active information so miners can separate a machine that is temporarily reporting from one that has stopped submitting work for a sustained period.
Rejected-share statistics are especially useful because not all rejected work has the same cause. ViaBTC identifies stale, invalid, and duplicate submissions as different situations, with possible causes including latency, unstable hardware, firmware problems, duplicate submission, or incorrect configuration. Looking only at the total rejection percentage can therefore hide useful diagnostic information.
A simple comparison can show why this matters:
| Metric | Miner A | Miner B |
|---|---|---|
| Local hashrate | 200 TH/s | 200 TH/s |
| Pool-side hashrate | 197 TH/s | 188 TH/s |
| Rejection rate | 1.5% | 6% |
| Main concern | Low | Network, settings, or stability |
If the second machine has remained near 6% rejection for several hours, the problem deserves inspection. ViaBTC's published guidance places about 3% as its general operational reference, but it also notes that this is not a universal industry standard and that sustained trends are more useful than one isolated reading.
Hashrate should also be measured against power use. ViaBTC's recent guidance recommends using measured wall power for efficiency analysis and gives J/TH as watts divided by average local TH/s. A miner using 3,200 W at 200 TH/s operates at 16.00 J/TH; at 3,700 W and 215 TH/s, output rises 7.5% but efficiency worsens to about 17.21 J/TH.
That example changes how firmware or frequency changes should be judged. Higher local hashrate is not automatically better when electricity consumption rises faster. If a tuning change adds 7.5% hashrate while power rises 15.6%, the operator is paying for a larger electrical increase than the computational increase. Pool-side results should then be checked separately for rejected shares and accepted hashrate.
Revenue data needs the same level of care. ViaBTC currently lists PPS+ as the default payment method and also supports PPLNS. Under the published PPS+ structure, the block-reward component uses submitted shares relative to difficulty, with a 4% fee, while the flexible transaction-fee portion uses PPLNS with a 2% fee. PPLNS applies a 2% fee and calculates rewards from a miner's share of pool hashrate over the relevant last five difficulty rounds, with block completion conditions.
A miner cannot accurately judge a 2% or 4% revenue difference without checking the payment method, fee rate, measurement period, and network conditions used for the comparison.
Network conditions add another number set. ViaBTC notes that when network hashrate rises while a miner's own hashrate stays unchanged, that miner generally represents a smaller share of the total computing power competing for block rewards. Difficulty, block rewards, transaction fees, coin price, pool terms, and operating costs also affect the final result.
For example, if a 1 PH/s miner remains at 1 PH/s while network competition rises 20%, its relative share of available computing capacity becomes smaller even though the ASIC fleet has not changed. A lower payout per unit of hashrate can therefore come from external network conditions rather than a hardware fault.
Pool statistics are also useful when checking whether a change affects one worker or an entire site. If 5 of 200 machines show a similar hashrate decline, the operator can compare those units by rack, switch, firmware release, power circuit, or location. If all 200 machines change at roughly the same time, a broader network or pool-side issue becomes more plausible than five unrelated ASIC failures.
This is where a practical ViaBTC Mining Guide can complement raw statistics. The guide material and pool dashboard can be used together: configuration information explains what should be submitted, while account statistics show what the pool actually receives and records over time.
Historical data makes these comparisons more reliable. A miner may see a 4% drop during one reporting window, but a seven-day average can show whether that number is unusual. Comparing the same machine before and after a firmware change is also more useful than comparing it with a different ASIC model running at another temperature or power setting.
A basic monitoring sheet can use five fields:
| Field | What to compare |
|---|---|
| Local hashrate | 1-hour and 24-hour average |
| Pool-side hashrate | Current and longer-period average |
| Rejected shares | Rate plus rejection reason |
| Power | Measured watts and J/TH |
| Earnings | Coin output per day and per TH/s |
Every 200 words or so, the numbers should remain tied to a real operating question. A 3% rejection level, a 7.5% hashrate increase, a 15.6% power increase, or a 20% rise in network competition tells more than broad statements about “performance.”
The same data can improve maintenance timing. If a worker repeatedly drops below its normal range and its rejected shares rise after temperature increases, the operator has a measurable reason to inspect cooling, airflow, power delivery, or frequency settings. ViaBTC also notes that high temperatures and firmware issues can contribute to elevated rejection rates.
Do not treat one rejected share, one short-term hashrate change, or one unusual payout as a machine failure.
A better method is to compare several readings over the same period. For example, if rejection remains above 3% for six consecutive reporting checks while pool-side hashrate stays below the machine's recent 24-hour average, the issue is more meaningful than a single spike.
For larger farms, the same approach works at fleet level. A 1 EH/s operation with a persistent 2% rejection rate would show about 20 PH/s of work outside the accepted portion under ViaBTC's simplified approximation. Electricity is still consumed by the equipment producing that work, so lowering the rejection rate can improve accepted output without adding another ASIC.
The strongest use of ViaBTC Mining Statistics is therefore comparative rather than passive. Compare local and pool hashrate, compare current and historical values, compare accepted and rejected work, compare power with output, and compare revenue with difficulty and network hashrate.
Those comparisons let a miner answer practical questions with numbers: whether 200 TH/s is really producing close to 200 TH/s at the pool, whether a 6% rejection rate is persistent, whether a firmware change improved output by 7.5% while worsening efficiency, or whether a 20% increase in network competition explains weaker coin output despite stable hardware performance.