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NegativeEV

Grades pasted sports bets against thousands of simulated games to say whether the sportsbook price is good, bad or fair.

Actively maintained

At a glanceswept Oct 13, 2026

≈ 19visits/mo

Little sign of use · estimate, read Oct 13, 2026

For
Sports bettors who want to check whether a sportsbook price is fair before placing a bet
Activity
Actively maintainedsite updated 7 weeks ago
Runs as
API
Used for
  • Grade a pasted or screenshotted bet slip against simulated game outcomes
  • Compare a parlay's combined odds with its simulated chance of winning
  • Check MLB or WNBA player prop prices against simulated play-by-play results
Worth knowingcomputed from what we read · each with its source
How a program reaches itfound, not claimed · read Oct 19, 2026
  • MCP servercom.negativeev/bet-checkerverified in the MCP registry
  • Stateanswers, 3 toolschecked 2026-10-19
  • Address to connectnegativeev.com/mcp
  • OpenAPI spec6 pathsthe spec ↗
  • MCP docsnegativeev.com/mcpthe vendor's page ↗

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Lifestyleby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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Questions this page answers
  • What is NegativeEV?

    Grades pasted sports bets against thousands of simulated games to say whether the sportsbook price is good, bad or fair. It is listed in the Atlas under Lifestyle.

  • Who is NegativeEV for?

    Sports bettors who want to check whether a sportsbook price is fair before placing a bet

  • Do people use NegativeEV?

    Little sign of use: ≈ 19 visits/mo · estimate, 2026-10.

  • Is NegativeEV still maintained?

    Actively maintained: site updated 7 weeks ago.

  • What are alternatives to NegativeEV?

    In Lifestyle, by use: SportBot AI, F1Laps, Savecraft, BetLogic, Zoagames, Angry Claude.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk