Sports research workspace

We build the research workspace serious analysts wished existed.

AI4GAMEDAY is a focused team building professional-grade sports analytics with one rule: every number on the screen has to be explainable, calibrated, and earn its place.

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Founder note

“Most sports tools are loud. We're building the quiet, sharp one.”

I grew up obsessed with the numbers behind the game — the kind of analysis that turns a noisy box score into a clear story about why a team won. The tools available to most analysts hide their math, sell certainty they haven't earned, or quietly drift toward sportsbook integrations that change the incentive of the product.

AI4GAMEDAY is the workspace I wanted: every model output decomposed into the factors that produced it, every probability calibrated and inspectable, and every recommendation framed as research — not as a guarantee. We charge for the workspace; we never sell the user.

If you take research seriously, you'll feel at home here.

By the numbers

Every metric here is one we publish — and that we hold ourselves to.

80+

Factors per prediction

Every model output decomposed and inspectable

8

Sports modules

MLB · NBA · NHL · NFL · MLS · NCAAF · EPL · IPL

5s

Live data refresh

Score, win-prob, and leverage updates

100%

Research-only

Never a sportsbook. Never wagering.

Operating principles

Four rules that show up in every screen we ship.

Explainability over hype

Every probability, ranking, and projection ships with the factors that produced it. If we can't explain it, we don't publish it.

Research, never wagering

We don't take bets, publish lines, or take sportsbook revenue. The platform is calibrated for analysts, journalists, and front-office teams.

Calibration over confidence

Model accuracy and calibration are reported transparently — including where we're wrong. Tier language replaces guarantee language.

Premium, not noisy

Dense interfaces fail under pressure. We design for clarity, hierarchy, and the moments where a sharper read actually changes a decision.

Milestones

A short, honest history of how we got here.

  1. 2024

    Initial models

    First win-probability and lineup-context engines built across MLB and NBA.

  2. 2025

    Multi-sport buildout

    NHL, NFL, MLS, and NCAAF modules added. AI4Gameday Score formalized.

  3. 2026

    Research workspace

    Public launch as AI4GAMEDAY — explainable analytics for serious analysts. EPL (Premier League) module added.

  4. Next

    Expanded transparency

    Open model report cards, factor-level audits, and team-grade research tooling.

The workspace is ready when you are.

Spin up a free account and explore the same analytics our team uses every gameday — no sportsbook, no noise.

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