Real Time Odds

REAL-TIME PRICING · LIVE FEED

Real Time Odds — Pricing That Moves With The Match.

Live betting only works when your odds are actually live. Sub-400ms updates, AI-driven pricing, and risk-aware suspension — that’s what real-time means at WS Gaming. The same engine powers the WS Gaming sportsbook platform and is delivered through our sportsbook real-time odds product across Asia.

// Live Markets · Streaming LIVE
EPL · Premier League67′ · 1H
⚽ Manchester United1
⚽ Arsenal2
14.50
X3.20
21.65
Tennis · ATP MadridSET 2 · 4-3
🎾 J. Sinner1
🎾 C. Alcaraz1
P11.72
P22.15
The Definition

What does “real-time” actually mean?

Real-time odds are betting prices that update within milliseconds of a real-world event — not within seconds, not “as soon as we can.” The difference matters because every second of latency is a window where sharp bettors can place bets against odds that are already obsolete.

For a sportsbook, “real-time” should mean three things working together: fast data capture (sub-200ms from event to feed), fast pricing (the AI engine recomputes win probabilities and outputs new odds within 100ms), and fast publish (WebSocket push to every client, not polling). At WS Gaming, we hit all three — that’s why our sports betting software outperforms legacy platforms on margin retention.

This page covers what real-time pricing looks like in practice, the use cases it unlocks, and why latency is the single most important spec when evaluating an odds provider.

<400ms
End-to-end update latency, from event to client
99.99%
Feed uptime measured across the last 12 months
10
Live markets per single event, simultaneously priced
100+
Sports and tournaments covered globally
What Makes It Real-Time

Three pillars of a true real-time odds engine.

A real-time feed isn’t just a marketing badge. It’s the result of three engineering disciplines working in parallel. Miss one and your odds lag.

1. Tier-1 Data Capture

Direct feeds from official data providers and on-site scouts. We don’t aggregate from public sources — that adds seconds of delay. Our odds feed solution starts where official data starts.

2. AI Pricing

A purpose-built model recomputes win probabilities for every open market on every event-tick. Pre-trained on millions of matches, tuned by traders. Detailed on our real-time odds product page.

3. WebSocket Push

No polling, no batching. New prices push the moment they’re approved by the risk layer. Clients see the update before the next packet would have arrived on a legacy REST feed.

Use Cases

Where real-time odds unlock value.

Four common scenarios where the difference between a real-time feed and a “live-ish” feed translates directly to operator margin.

01

In-Play Betting Front-Ends

Player-facing live betting interfaces — web and mobile — where odds need to feel alive. Stale prices kill trust and drive players to competitors. Used by every operator on our white label sportsbook.

02

Trader Dashboards

Internal tools where risk managers monitor exposure, suspend markets, and adjust margins. Latency here costs money directly — a sharp bettor exploits stale prices in seconds.

03

Second-Screen Apps

Companion betting apps that follow a match live — score tracker, in-play tips, micro-bet prompts. Only viable if the odds underneath them stay in sync with the actual game.

04

API Aggregators & Affiliates

Comparison sites and aggregators that pull live odds from multiple sources. Operators who serve fresher prices win the placement; everyone else loses traffic.

Frequently Asked

Questions about real-time odds.

What operators and traders ask most often when evaluating a real-time pricing provider.

How do you measure “real-time”? +

End-to-end latency — from the moment a real-world event happens to the moment the new price is rendered on the client. We measure this in milliseconds and publish SLA targets per environment. Our pipeline targets under 400ms, well below the industry average of 1–2 seconds. See benchmarks on our real-time odds page.

What happens when the data feed itself is delayed? +

Our system auto-suspends affected markets the moment data quality degrades — we don’t ship stale prices. Risk managers get an alert, markets stay frozen until the feed is confirmed accurate, and clients see a “suspended” badge. Better to pause than to leak.

Can real-time odds work across all sports? +

Yes, with caveats. Football, basketball, tennis, cricket, esports — full real-time in-play coverage. Some niche sports have slower data feeds that limit market depth, but the platform handles whatever feed quality is available. Full coverage list in our odds feed documentation.

Is real-time pricing more expensive than batch pricing? +

Marginally — the infrastructure costs more to run. But the margin retention from avoiding latency arbitrage almost always covers the difference within the first month of live operation. Speak to our team for commercial details.

What’s the difference between real-time odds and live odds? +

Mostly marketing language. “Live odds” describes in-play markets generally; “real-time” describes how fast those odds update. A platform can offer live betting on slow odds, which is the worst of both worlds. WS Gaming offers both — live markets, real-time pricing.

How do I integrate real-time odds into my platform? +

Two options. Use our Live Odds API directly — your platform handles the front-end, we handle the pricing. Or run our full white label sportsbook where everything from front-end to settlement comes in one package.

How is uptime guaranteed? +

Multi-region deployment, automatic failover, redundant data feeds from independent providers, and 24/7 monitoring by our APAC operations team. We publish 99.99% uptime over the last 12 months — verified per operator on request.

Can I trial the real-time feed before committing? +

Yes. We provide a sandbox environment with full real-time data for 14 days. Lets your team benchmark latency, test integration paths, and verify market coverage against your own use case. Request access here.

Real-time means real-time. Nothing else.

Sandbox access in 24 hours. Trial period built for engineering teams to verify the latency claims themselves.