Rating-Based Analysis
Uses structured team rating differences as a mathematical foundation for match assessment.
HIFFS ANALYTICS / SPORTS INTELLIGENCE
FOOTBALL PREDICTION & SPORTS INTELLIGENCE
Dictaz
IQ.
A football prediction and sports intelligence platform designed to combine structured mathematical analysis, football data, research signals and transparent prediction workflows.
IQ
DATAMODELRATINGRESEARCH01 / THE PLATFORM
Football intelligence
with structure.
DictazIQ is being developed as a professional football prediction and sports intelligence platform with an emphasis on transparent reasoning, reproducible models and disciplined publication.
The system combines team ratings, match data, mathematical models and independent research inputs rather than relying on a single prediction source.
Football is the first deployment focus, while the underlying architecture is being designed for future expansion into other sports.
02 / CORE CAPABILITIES
Built for
prediction intelligence.
A structured system for combining quantitative models, football data and research evidence.
Research Fusion
Combines model output with independent research signals to strengthen or suppress selections.
Fixture Intelligence
Ingests fixture, team, competition and historical data into a structured prediction workflow.
Prediction Transparency
Designed to expose model versions, confidence, probabilities and publication context.
Provider Integration
Built to connect multiple football data sources for fixtures, lineups and match intelligence.
Multi-Sport Expansion
Football is the first focus, with architecture intended to support additional sports over time.
03 / INTELLIGENCE PIPELINE
From evidence
to prediction.
01Fixture Data↗
02Team Ratings↗
03Historical Evidence↗
04Mathematical Model↗
05Research Fusion↗
06Prediction Guards↗
07Publication Layer↗
08User Interface↗
04 / PRODUCT STATUS
Models first.
Platform evolving.
ACTIVE DEVELOPMENT
DictazIQ currently has an active data and prediction foundation, including database-backed fixtures, model versions, prediction records, mathematical rating logic, publication guards and research-fusion workflows.
Development continues across data ingestion, coverage, prediction quality, provider integration and the public-facing product experience.