opBNB is built on the OP Stack, the same underlying framework as Optimism. It extends the Ethereum Virtual Machine (EVM) to provide faster and cheaper transactions, while leveraging BNB Smart Chain (BSC) for ecosystem integration.

opBNB is an Ethereum-compatible Layer 2 scaling solution designed to improve the performance and affordability of decentralized applications on BNB Chain. It provides high throughput and low fees, making it suitable for gaming, social, and DeFi applications.

opBNB is developed by BNB Chain, which is supported by contributors from the broader Binance ecosystem.

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Blockchains (L2)

opBNB

# opBNB Block time Methodology

## 1. Overview

Block time measures the average time interval between consecutive blocks on the opBNB blockchain, expressed in milliseconds. This metric indicates the consistency and performance of the blockchain's block production mechanism. The calculation determines daily average block production intervals by analyzing consecutive block timestamps and averaging the time differences within each day.

## 2. Data sources

- **opBNB blockchain block headers**: Raw blockchain data containing block metadata including timestamps and sequential block numbers from the opBNB network
- **Block production timestamps**: Precise timestamps indicating when each block was produced/mined on the opBNB blockchain
- **Sequential block numbering**: Consecutive block numbers that enable pairing blocks for interval calculations

## 3. Step-by-step calculation

### Component A: Block timestamp extraction
- **Purpose**: Retrieves raw block timing data from the opBNB blockchain
- **Logic**: Extracts block timestamps and block numbers from opBNB blockchain data, converting timestamp and number fields to appropriate data types. Filters out the genesis block (block number 0) since it carries a Unix epoch timestamp that would skew block time calculations
- **Key fields**: `block_timestamp` (when the block was produced), `block_number` (sequential block identifier)

### Component B: Consecutive block pairing
- **Purpose**: Creates pairs of consecutive blocks to enable interval calculations
- **Logic**: Uses a lag window function ordered by block number to associate each block with its immediate predecessor's timestamp. This creates the necessary data structure for calculating time intervals between consecutive blocks
- **Key fields**: `block_timestamp` (current block time), `previous_timestamp` (preceding block time), `block_number` (for ordering)

### Component C: Block interval calculation
- **Purpose**: Computes individual block production times
- **Logic**: Calculates the time difference between each block and its predecessor using millisecond precision. Truncates block timestamps to daily boundaries to prepare for daily aggregation. Excludes any blocks where the previous timestamp is null (typically the first block after genesis)
- **Key fields**: `timestamp` (daily boundary), `block_time` (milliseconds between blocks)

### Final aggregation
- **Combining components**: Individual block intervals are grouped by daily timestamp boundaries
- **Time aggregation**: Block times are averaged within each day using the mean function to produce a daily average block time
- **Metadata assignment**: Each daily record is tagged with chain identifier ('opbnb'), market sector ('blockchains_l2'), and business segment ('blockchain') classifications
- **Final calculation**: The daily average block time in milliseconds represents the mean interval between consecutive blocks produced on that day, providing insight into opBNB's block production consistency and performance

*This methodology was automatically generated by Token Terminal's methodology analyzer.*

avg(block_timestamp - previous_block_timestamp)

opBNB

Block time

Block time

Competitive landscape

Chain breakdown