MD1Qby Dataobjects
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Data analyst · consultant

Analytics

Methodology on its own page, every number separately checked.

Anyone who computes for a living checks the methodology first. Here it has its own page: where each figure comes from, what it means and where it ends. A separate check verifies that the published number and the raw data agree.

Question

How do our next two opponents play differently?

MD1Q Proof (AI)

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01

In the rhythm of the week

Early in the week

Data hub: the status of every data source on one page; event and tracking data imported in the major providers' formats.

Matchday

Chart builder from the full metric catalogue, shareable by link; any number of players on one radar.

Afterwards

Export to PDF, SVG, PNG, MP4 and XML, plus a read API; saved material records the data and the version.

02

Features for this work

Data coverage

675 leagues from 165 countries plus international football, since 2010, about 630,000 completed matches. The data is refreshed every night.

Event and tracking data

Coordinate-level event data and player tracking, imported in the formats of the major data providers.

Decision quality

The quality of players' decisions and the value of their actions, from coordinate data.

Chart builder

Your own chart from the full metric catalogue, shareable by link.

Transparency

Every chart shows its sample size, the system states when data is missing, saved material records the data and the version, and every published number is checked separately against the raw data.

Export

PDF, SVG, PNG, MP4 and XML, plus a read API.

03

Also on commission

If the club does not do the work itself, our analysts do it and hand it over.

  • Bespoke Machine Learning
  • Data Audit