Overview

Swish Analytics provides data analytics for sports betting and daily fantasy sports, offering algorithm-driven predictions and tools to help operators and bettors identify value bets and optimize ROI. Its product suite ingests sports data, runs predictive models, and delivers insights through configurable dashboards and subscription-based analytics for leagues such as NBA, NFL, MLB, and NHL. A key differentiator is an Authorized MLB Data Distributor partnership, along with customizable data-led tools for both betting operators and sports enthusiasts. The goal is to help users make smarter bets and informed decisions by delivering accurate data-driven insights that improve ROI and support reliable predictive analytics in the sports betting and fantasy space.

Significant Headcount Growth

Simplify's Take

What believers are saying

• Injury prediction models integrate real-time data for player prop pricing advantages.
• In-play betting tools capture market share with real-time odds adjustments.
• International expansion adds soccer and esports models for global B2B revenue.

What critics are saying

• BetBuckets MLB partnership erodes licensing model in 6-12 months.
• Numberfire ESPN integration outcompetes accuracy in 12-18 months.
• OpenAI models commoditize NBA data edge in 18-36 months.

What makes Swish Analytics unique

• Swish Analytics boasts 67% prediction accuracy and 7% ROI via proprietary NBA data since 2013.
• BetBuckets delivers algorithm-driven NBA predictions outperforming numberfire's 62% accuracy.
• MLB partnership and Sacramento Kings clients enable authorized data distribution to operators.

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