Tvuna builds statistical models that reflect how sport truly works — not approximations, but deep structural frameworks developed through years of rigorous research and domain expertise.
Most models approximate. Ours are constructed from first principles — combining deep domain knowledge with statistical rigour to build frameworks that genuinely reflect how sport works, at every level of granularity.
We build models from the ground up — encoding the mechanics of sport itself, not just historical patterns. The result is a framework that generalises robustly, even in novel conditions.
Every output is a probability, not a prediction. Our models quantify uncertainty rigorously — giving a true, calibrated picture of what the data supports.
Our models don't stop at kick-off. They ingest live data continuously, recalibrating as events unfold — maintaining accuracy across the full arc of a match.
We work closely with a select group of clients — tailoring our modelling frameworks and research output to the specific analytical needs of each partner.
Our models start with how sport actually works — the structure, the dynamics, the variables that matter. Everything else follows from that foundation.
We work with a small number of partners. It keeps our research focused, our models sharp, and our attention undivided.
Each iteration of our research informs the next. Our models improve continuously — refined by new data, new questions, and deeper domain understanding.
Tvuna works with a carefully selected group of partners. If precision modelling and deep sporting research is what you're looking for, we'd like to hear from you.