PARALLAXEDGE

How It Works

From raw data to explainable intelligence. Here is the process behind every ParallaxEdge forecast.

01

Model the Match

We combine team ratings, expected-goals trends, venue, schedule effects, and recent form into a probabilistic picture of the fixture.

02

Simulate Outcomes

We run the match tens of thousands of times with Monte Carlo simulation to estimate probabilities, likely scorelines, and uncertainty.

03

Explain the Result

We surface the key factors behind every forecast in plain English, so you understand not just what the model says, but why.

The Model Ensemble

No single model is right all the time. We blend several, each weighted by its proven contribution.

Poisson Goal Model35%

Estimates scoring rates from attacking and defensive strength.

Elo Rating Model25%

Tracks team strength dynamically as results come in.

xG-Based Model20%

Leverages expected-goals trends over raw results.

Bayesian Hierarchical Model15%

Accounts for uncertainty and borrows strength across comparable teams.

Market-Implied Model5%

Incorporates external reference signals, without advising.

What is Brier Score?

Brier Score measures the accuracy of probabilistic predictions. It is the mean squared difference between predicted probabilities and actual outcomes.

Lower scores indicate better-calibrated, more accurate models. We publish ours for every competition and update it continuously during tournaments, so our accuracy is accountable rather than asserted.

Current (Out-of-Sample)
0.31
See full accuracy tracking

Transparent Methodology

Every model and its weighting is documented and explained.

Public Accuracy Tracking

We score every forecast with Brier Score, in the open.

Explainable by Design

Each prediction ships with the factors that drove it.

Built on Trusted Data

Sourced from established providers and validated pipelines.

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