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Bettormetrics

The startup offers a trading analysis platform that integrates diverse data sources to enhance decision-making for traders and quantitative analysts in the sports betting sector. By providing granular insights into time-specific data trends, the platform enables users to identify barriers to success and capitalize on emerging opportunities.

Newbury, United Kingdom15200+ followers
Updated 2 months ago

Funding

$3.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Sports betting and trading firms face challenges in efficiently processing and analyzing the vast amounts of real-time data generated during in-play events. Identifying discrepancies, optimizing pricing, and detecting suspicious activities require tools that can effectively combine and visualize diverse data streams. Without these capabilities, firms risk missed opportunities, reduced margins, and increased exposure to arbitrage and fraud.

Solution

Bettormetrics offers a trading analytics platform designed to provide sports betting firms with granular insights into in-play events. The platform integrates live data on fixtures, real-time events, and in-depth visualizations into a single, unified solution. By combining internal and external data sources, the platform enables users to identify discrepancies, optimize revenue, and validate improvements to trading strategies. The platform helps trading teams navigate pricing, wagering, game state, and customer data to identify obstacles and opportunities.

Target Audience

The primary users are sports betting traders, quantitative analysts, business analysts, compliance officers, and finance teams seeking to optimize trading strategies, improve revenue, and ensure regulatory compliance.

Features

  • Data Linking: Combines price, suspension, wagering, payout, and game state data from internal and external sources.
  • Pricing Quality: Identifies pricing differences between the user's operation and other bookmakers & exchanges.
  • Suspicious Activity: Graphs wagering and payout data to spot incongruous activity.
  • Data Visualization: Provides visual navigation through data streams with granular time-window perspectives.
  • Suspension Strategy: Reviews the impact of suspensions to avoid margin or revenue loss.
  • Arbitrage Exposure: Identifies instances of arbitrage betting or matched betting via exchanges.
This profile is AI-generated and may contain inaccuracies.