Environmental Match Intelligence
ClimaEdge runs venue-level weather forecasts for every fixture and translates the conditions into one clear stress score and a set of tactical insights — delivered to your analysts days before the match.
What's inside
Every fixture gets a single report combining a headline score, performance signals, and a named match pattern — built for analysts, readable by anyone.
A single 0–100 Environmental Match Stress Index combining a range of environmental variables — each assessed against published sport-science and meteorological standards.
Machine learning estimates of how the forecast shifts the game itself — pressing intensity, possession control, technical error risk — presented with confidence levels, half by half.
Every report names the kind of match the conditions are shaping — heat-dominant, cold-dominant, possession-disrupting — and states exactly which weather conditions are driving it.
The forecasting and scoring engine is production-ready and running live. The performance-signal and match-pattern models are in active beta testing.
How it works
Onboarding is bespoke to your club — after that, your reports simply appear.
We configure ClimaEdge around your club — your venues, your fixture calendar, your squad.
Forecasting and analysis run automatically ahead of every fixture. Nothing to schedule or maintain on your end.
Log in to a personal, club-branded portal to view your team's reports, whenever you need them.
Each report is waiting well ahead of the match — score, signals, pattern, and venue maps in one place.
Venue-level detail
Each report includes a suite of high resolution interactive forecast maps for the venue itself, and the wider area.
Who we are
ClimaEdge's forecasting engine is backed by over a decade of hands-on numerical weather prediction experience. Doctoral research in atmospheric chemistry, peer-reviewed publication, and years spent running weather models across both research and industry settings. That background sits behind every venue level forecast: real atmospheric physics, not a black box. Machine learning sits on top of that same pipeline — trained models take the raw forecast output and translate it into performance signals and match patterns, so every report carries a predictive layer, not just a weather readout. Applying it to sport and turning forecasting expertise into match day intelligence. This is what ClimaEdge is built to do.
Get started
ClimaEdge's forecasting is live and production-ready; the performance-signal models are in active beta stage. Clubs, federations and broadcasters and performance teams can request reports for upcoming fixtures.