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Orbistats documents WebSockets as a way to receive live scores, match events and odds updates over a persistent connection rather than repeatedly polling for changes. But no verified before-and-after latency measurements are available here for a particular migration, so there are no honest personal latency numbers to report. Orbistats’ published latency figures describe its service, not an application’s measured improvement.
What changes when you replace polling with a WebSocket?
With polling, a client requests data at intervals and may wait until its next request to discover an update. With a WebSocket, the client keeps a connection open and receives subscribed updates as the service sends them. Orbistats describes this persistent-stream model for live scores, match events and odds moves in its WebSocket API documentation.
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That difference can reduce the delay introduced by waiting for the next polling interval, but it does not establish how much faster a particular application will be. End-to-end delay depends on the event, network, service, client processing and rendering. Orbistats’ documentation says polling every few seconds can be adequate at low-to-medium traffic, while WebSockets are suited to sub-second updates or many concurrent viewers; that is the vendor’s guidance, not an independent benchmark. See its code examples.
What the published latency figures actually measure
Orbistats’ WebSocket product page advertises sub-50ms delivery. That is a vendor claim, not a measured before-and-after result for an individual integration. Its status page reports median response times for live traffic rather than synthetic pings, with regional figures representing the preceding 24 hours. The snapshot accessed on October 7, 2026 listed:
| Published figure | Scope and qualification |
|---|---|
| 32ms US East; 28ms EU West; 41ms AP Southeast | Regional median latency for live traffic over the previous 24 hours, as shown in the October 7, 2026 status-page snapshot; not an application-specific migration result. |
| 99.98% rolling 90-day uptime | Availability across endpoints in the October 7, 2026 status-page snapshot; not specific to WebSockets. |
| 99.95% WebSocket Streaming uptime | WebSocket Streaming 90-day uptime in the October 7, 2026 status-page snapshot. |
These are service-level observations and can change. They cannot be substituted for application measurements, nor compared directly with a polling baseline without matching the measurement definitions and conditions.
How to make a valid polling-versus-WebSocket comparison
A credible before-and-after comparison measures the same user-visible event under comparable conditions. Define the interval first: for example, event publication to display, rather than request round trip on one side and display delay on the other.
- Record the polling interval, endpoint, client and server regions, workload, event volume, filters and caching behavior.
- Use consistent timestamps and a synchronized clock where possible. State whether each result is a median, a tail percentile or another statistic.
- Report the observation period and sample size, and keep workload and network conditions as comparable as practical.
- Measure more than latency if the decision depends on it: request volume, missed or duplicated updates, disconnects, reconnect behavior and operational effort.
Without those details and the actual baseline and post-migration results, a claim such as “latency fell by X” would be unsupported. The available Orbistats materials do not provide an author-specific test method or migration data.
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When WebSockets, polling or webhooks fit
Choose polling when simplicity is enough
Polling is straightforward and may suit low-to-medium traffic when updates need not appear immediately. Its trade-off is repeated requests, including requests that may find no new state. Orbistats characterizes this as a reasonable option for less time-sensitive use, not as a universal rule.
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Choose WebSockets for a live, continuing feed
A persistent stream can suit applications that need updates promptly or serve many viewers. It avoids the polling loop, but adds connection lifecycle work: authentication, subscriptions, heartbeats, disconnections and reconnects. Orbistats documents these operational topics on its WebSocket API page. Check the current documentation and plan terms before relying on any connection limit or implementation detail.
Consider webhooks for server-to-server events
If a backend needs event delivery at a registered endpoint rather than a continuously connected client, webhooks may fit better. Orbistats documents event-driven POST delivery and recommends verifying signed payloads. A production consumer should also account for duplicate delivery and idempotent processing where the current webhook documentation supports those behaviors. See the API Documentation and API Reference.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Operational checks before migrating
- Authentication: Confirm the current WebSocket authentication method in the integration documentation; do not assume an example or query-parameter pattern is the required production approach.
- Subscriptions: Verify channel names and any league or match filters against the current API reference.
- Recovery: Handle heartbeats, abnormal closures, reconnect backoff and subscription restoration. Test interruptions rather than treating a successful initial connection as sufficient.
- Capacity: Check the current plan’s WebSocket connection limits separately from REST request limits. The API reference and product page show different limit contexts, so do not mix them.
- Webhook security: For webhook-based delivery, verify signatures and design handlers to tolerate retries or duplicate events where applicable.
Orbistats documents REST requests as JSON over HTTPS with Bearer-token authentication; those REST conventions and request limits are distinct from WebSocket connection limits. The API Reference is the relevant place to check the current details.
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