From raw data to explainable intelligence. Here is the process behind every ParallaxEdge forecast.
We combine team ratings, expected-goals trends, venue, schedule effects, and recent form into a probabilistic picture of the fixture.
We run the match tens of thousands of times with Monte Carlo simulation to estimate probabilities, likely scorelines, and uncertainty.
We surface the key factors behind every forecast in plain English, so you understand not just what the model says, but why.
No single model is right all the time. We blend several, each weighted by its proven contribution.
Estimates scoring rates from attacking and defensive strength.
Tracks team strength dynamically as results come in.
Leverages expected-goals trends over raw results.
Accounts for uncertainty and borrows strength across comparable teams.
Incorporates external reference signals, without advising.
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.
Every model and its weighting is documented and explained.
We score every forecast with Brier Score, in the open.
Each prediction ships with the factors that drove it.
Sourced from established providers and validated pipelines.