The engine that explains why matches are won — not just how.

Structural match intelligence powered by the Phase Control Model. 16,459 innings. 9 competitions. Every outcome decoded.

Cricket DNA · 4 Questions
What's your cricket DNA?
Find your Cricket DNA →
Cricket Intelligence Lab
Broadcast Cards  ·  Journalist Dashboard  ·  Export-ready graphics
OPEN LAB →
Player Phase Intelligence · 7,620 Players · 9 Competitions
What PCM reveals

A richer way to understand cricket.

The scorecard tells you what happened. PCM helps you see how the game took shape.

Matches evolve through phases — pressure builds, momentum shifts, and outcomes take shape earlier than we realise. PCM surfaces those moments.

Here are a few matches where this becomes clear:
M22 · CSK vs KKR · IPL 2026
Decided in: Stability Window
KKR scored more in the middle overs. They lost three wickets. That is why CSK won.
M21 · SRH vs RR · IPL 2026
Decided in: Stability Window
SRH set the structural tempo before over 7. A 29.6-point gap that the scorecard alone does not explain.
M18 · CSK vs DC · IPL 2026
Decided in: Stability Window
CSK scored 67.6 — the highest PCM of the IPL 2026 season. DC never competed structurally.
Most matches aren’t decided at the death. Here’s what actually decides them:
Powerplay (1–6)
67.9%
Middle overs (7–12)
65.5%
Acceleration (13–16)
62.4%
Death overs (17–20)
56.2%
Win rate when a team controls each phase · 7,511 T20 matches
Phase Control Model · 16,459 innings · 9 competitions

The engine that explains
why matches are won — not just how.

Structural match intelligence powered by the Phase Control Model. 16,459 innings. 9 competitions. Every outcome decoded.

Which team dominated IPL 2025? T20 World Cup 2024 final — India vs South Africa Best death overs team in BBL? Why did SRH dominate RR in IPL 2026? Which IPL 2026 match was closest by PCM?