Infrastructure

Platform

KittySports is a modular motorsports intelligence stack built for data operations, driver and constructor ratings, predictive modeling outputs, and market-observational analytics.

Engine

KRS — Proprietary Motorsports Ratings & Predictive Intelligence

A proprietary motorsport driver ratings and predictive intelligence engine that transforms racing data, performance statistics, historical results, and emerging intelligence into independent driver ratings, performance projections, and actionable insights.

KRS combines quantitative performance modeling with evolving intelligence inputs to identify competitive trends and predict future driver performance.

Implemented today

· Driver ratings across Formula 1, NASCAR Cup and MotoGP
· Historical race and qualifying performance modeling
· Finish-probability projections
· Published read-only JSON feeds with versioned contracts
· Market-observational comparison (non-live, illustrative)

Planned — not yet integrated

· Real-time motorsport news and developments
· Driver and constructor performance-change detection
· Technical and regulatory update tracking
· Weather and circuit-condition inputs
· Additional external intelligence sources

These are roadmap capabilities. They are not part of the published ratings today and are not reflected in any current feed.

Status

Platform Status

✔KRS Ratings EngineLive

✔Public KRS Feed (v1)Live

✔KittyGP IntegrationLive

◐Data-derived signal automationIn Development

◐Pro APIPlanned

◐Enterprise APIPlanned

Live · API Catalog

Published Platform Feeds

The actual live platform surface, read from /feed/v1/index.json. Versions, freshness, and dependencies reflect the real published feeds.

Feed	apiVersion	dataVersion	Depends On	Generated
krs-catalog	v1	krs-multiseries-2026	krs	2026-10-15T20:01:36.361Z
krs-canonical	v1	krs-multiseries-2026	krs, krs-nascar, krs-motogp	2026-10-15T20:01:36.978Z
krs	v1	krs-f1-2026	—	2026-10-15T07:42:31.723Z
krs-nascar	v1	krs-nascar-2026	—	2026-07-28T03:43:48.462Z
krs-motogp	v1	krs-motogp-2026	—	2026-07-28T14:30:55.021Z
markets	v1	aggregate-2026	—	2026-07-11T17:50:56.224Z
signals	v1	signals-2026	krs, markets	2026-10-15T20:01:37.602Z
intelligence	v1	intelligence-2026	krs, markets, signals	2026-10-15T20:01:38.255Z

8 feeds · catalog generated 2026-10-15T20:01:38.849Z

What KRS Measures

Each competitor rating blends these signals. Emphasis is directional; internal weighting is proprietary and not disclosed.

Form

Primary

Rolling performance across recent races, with greater emphasis placed on the most recent events.

Qualifying

High

Grid position contribution modeled against historical conversion rates from qualifying to race outcomes.

Constructor Strength

High

Team-level performance contribution including pace, reliability, and pit execution consistency.

Consistency

Moderate

Driver result variance across comparable conditions, penalizing unpredictable outcome profiles.

Volatility

Supporting

Circuit-specific and weather-driven unpredictability adjustments applied to the base projection.

Confidence

Supporting

Composite model certainty output based on data availability, historical fit, and recency of calibration.

KRS predictive performance is measured against championship standings through historical replay. Published results reflect validation in progress.

Capabilities

Platform Pillars

Six core capability areas that define the KittySports intelligence platform scope.

DATA

Canonical Sports Data

Unified event, session, lap, and entrant records built for consistency and replayability across historical and future datasets.

RATINGS

Driver & Constructor Ratings

Normalized strength ratings spanning individual drivers and constructors, calibrated against historical performance baselines.

PREDICTION

Predictive Modeling

Scenario-aware projections for finish outcomes, points, and variance using form, context, and constructor weighting.

ANALYTICS

Market Comparison

Observational comparison between proprietary model outputs and publicly available market-implied probability lines.

Historical Intelligence

Deep historical archive and attribution layer for calibrating model confidence and tracking model-vs-actual outcomes over time.

API

API / Data Infrastructure

Structured feed delivery layer for partner products, downstream analytics workflows, and external data consumers.

Domains

Infrastructure Domains

Each domain represents a discrete infrastructure capability within the platform stack.

Data Layer

Canonical Events

In Development

Normalized event, round, and session records unified across source providers.

Session & Timing Records

Planned

Lap-level and sector-level timing data structured for historical replay and analysis.

Historical Archive

In Development

Deep historical dataset spanning seasons, entrants, and results — built for long-range model calibration.

Provider Abstraction

In Development

Decoupled ingestion layer isolating upstream data providers from the canonical model.

Intelligence Layer

Ratings Engine

Operational

Driver and constructor strength scoring engine with configurable factor weighting and version history.

Predictive Models

Operational

Scenario-aware finish projections (podium / top-5 / top-10 / points) computed from Driver Strength — live in the KRS feed.

Confidence Framework

In Development

Multi-signal uncertainty quantification — a confidence score is computed and published per driver today; broader cross-layer coverage is in development.

Auditability & Replayability

Planned

Immutable prediction records and model snapshot versioning for forensic model-vs-actual analysis.

Output Layer

Market Comparison Engine

In Development

Observational analytics comparing internal projections against publicly available market-implied lines.

Standings & Projections Feed

In Development

Structured output feed for championship standings projections and driver trajectory tracking.

API Infrastructure

Operational

Feed delivery layer is published — versioned, read-only JSON endpoints. Partner API keys, higher rate limits, and commercial tiers are planned, pending benchmark validation.