
Oddpool is the data layer for prediction markets — live odds, cross-venue analytics, and real-time arbitrage insights in one place.
A startup from Westboro, the United States, founded by Avi Arora, Ritesh Malpani.
This page is designed to help you find out whether Oddpool is good and if it is the right choice for you.
Oddpool is the all-in-one analytics platform for prediction markets, aggregating live data across venues to reveal real-time odds, market spreads, arbitrage opportunities, and actionable insights. Traders and analysts use Oddpool’s interactive dashboards to compare markets side-by-side, track volatility, and understand how consensus shifts across events. Oddpool brings structure, clarity, and speed to an ecosystem of fragmented prediction markets.
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Arbitrage Scanning
Monitors paired events across multiple prediction markets to reveal profitable arbitrage opportunities
Mispricing Scanning
Monitors prediction markets for large differences in outcome trading prices
Prediction Market Data Aggregation
Aggregates data from Kalshi and Polymarket in real-time
• Unified data-layer across many markets
Prediction markets—whether crypto-native or centralized—tend to be fragmented: different platforms, different UIs, different data formats. Oddpool cuts through that by aggregating live market data, odds, spreads, volumes, historical price data, and outcomes across many venues. Instead of hopping between dozens of sites or APIs, users get a single source of truth for cross-venue analysis.
• Real-time arbitrage & spread insights
Because Oddpool collects data across markets and displays it in a normalized, comparable format, it surfaces arbitrage opportunities, mispricings, and market-spread inefficiencies — something that’s extremely difficult to track manually when data is spread across multiple, independent platforms.
• Historical & analytic depth — not just surface-level odds
Oddpool isn’t just “current price = current probability.” It offers historical data, volatility tracking, trend analysis, volume & liquidity metrics, conviction changes over time, and more. That lets traders, researchers, or quant-style users go beyond “what does the price say now” to “how was price behaving over time, and what is implied by that.”
• Consolidated dashboard for decision-making
Instead of fragmented UIs and inconsistent metrics, Oddpool provides clean, normalized dashboards — helping users compare markets, track sentiment shifts, and analyze data side-by-side. That’s especially powerful in prediction-markets land where transparency is weak and data is siloed.
We have collected here some useful links to help you find out if Oddpool is good.
Check the traffic stats of Oddpool on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Oddpool on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Oddpool's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Oddpool on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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