Research
We pair data from real competition with sports science to ask better questions — about fairness, performance, health, and tactics — and feed the answers back into iMatch.
Research areas
Five threads, each grounded in data the platform already sees.
Modeling draw bias, seeding accuracy, and scheduling equity — measuring whether the bracket itself advantages or disadvantages players.
Discuss this area Computer visionDetecting strokes, spin, speed, and footwork from ordinary match footage — turning a single camera into a quantified record of play.
See it in SVR PerformanceWhich drills move the needle? Linking session structure and volume to measurable rating gains, so practice time pays off.
Discuss this area Health · technical analysisReading technique from video to flag mechanics linked to overuse and strain — surfacing risk before it becomes injury.
Discuss this area TacticsMining rally patterns and serve–receive trees to map what wins points at each level — and how tactics shift under pressure.
Discuss this areaWe collaborate with universities, federations, and independent researchers. If your question fits the data, let's talk.
Propose a studyHow we work
Real problems organizers, coaches, and players raise — not abstract ones.
Anonymized, consented competition and video data from the iMatch platform.
Findings become features — fairer draws, smarter analysis, better training.
We share anonymized data and domain expertise with serious research partners.