Which videos help assess data, APIs and subscription overlap?

8. How much infrastructure does another data product require?

Title and recording hub: Working With SkillCorner Data at Scale
Who: Diego Bartoli, Football Data Analyst at SkillCorner.
Date: Resource page published 1 July 2026.
Format: Three on-demand sessions; the hub links notebooks and slides, with match clips for the advanced session.
Perspective: Supplier technical education.

Key takeaways: The series progresses from aggregated data to dynamic events, then dynamic events synchronised with video. It explicitly addresses datasets, scope and minimum infrastructure for each level. Series description and materials. (skillcorner.com)

Desk application: Choose the least complex workflow that answers your recruitment question. In an authorised sample, test player matching, ingestion, missing fields and the hand-off from an analytical finding to footage.

Caution: Published notebooks are not evidence that your club’s identifiers, access rights or production systems will work without additional effort. The code was located, not executed for this review.

9. What can tracking-derived intelligence add to a striker search?

Title: Smarter Scouting — Profiling Players Beyond the Position Group: Strikers
Watch: Smarter Scouting #5 — Strikers
Who: SkillCorner; accompanying explanation by Luca Passarotti.
Date: Companion article published 2 December 2025.
Perspective: Supplier demonstration with a written metric guide.

Key takeaways: The resource distinguishes direct and link-up striker profiles. Its examples connect runs behind defences, movements towards the ball, passing options and physical measures to those different functions. The accompanying guide also identifies different normalisation bases, including playing time and team possession time. Metric guide. (skillcorner.com)

Desk application: Compare suppliers on a precise behaviour—such as offering a receiving option behind the defensive line—not merely on their ability to return a striker ranking. Record whether each finding was unavailable, already available or merely inconvenient to obtain in the incumbent stack.

Caution: These examples do not independently validate cross-league transferability or women’s recruitment suitability.

10. Can an integrated scouting workflow remove work without removing necessary evidence?

Title: High Performance Workflows — Scouting and Recruitment
Watch: Hudl’s linked YouTube recording
Who: Tom Goodall, introduced as Hudl’s Senior Solutions Consultant for Data Science.
Date and length: Not established on the recording’s landing page; treat as an archive resource.
Perspective: Supplier-led workflow demonstration.

Key takeaways: Hudl describes a session connecting Data as a Service, Sportscode, Insight, Wyscout and Studio within scouting and recruitment. Its useful focus is the movement between analysis and presentation, rather than a standalone feature list. Publisher’s description. (hudl.com)

Desk application: Use it to design a scouting subscription overlap audit: follow one player from discovery to decision meeting, recording every export, duplicate entry and manual hand-off.

Caution: An archive demonstration does not establish today’s packaging. Ask for a current, club-specific demonstration and written confirmation of the modules and permissions needed.