How Automatic Event Tagging Transforms Post-Match Analysis Workflow

"The automation of generating the most important events in matches - not just the most important but all events including goals, shots, crosses - greatly facilitates our work with post-match material," says Marcin Kochanowski, Analysis Department Coordinator at Pogon Szczecin Academy.

Kochanowski discovered this workflow transformation while implementing AI technology across Poland's leading football academy. The automatic tagging eliminated manual labor that had previously delayed tactical feedback delivery to coaches and players.

This challenges the assumption that thorough post-match analysis requires extensive manual review and clip creation by analytical staff.

Pogon Szczecin Academy's analytical workflow demands

Marcin Kochanowski manages analytical operations that support championship ambitions at every age level while developing homegrown talent for the first team. His role requires delivering precise tactical insights within tight timelines that support immediate coaching decisions.

The academy operates with professional standards that demand rapid analytical turnaround to maintain competitive advantages. Coaches need tactical insights quickly enough to influence training sessions and preparation for upcoming matches.

Kochanowski's dual role as both analyst and coach provides unique insight into how analytical workflow efficiency directly affects coaching effectiveness and player development outcomes.

The bottleneck of manual event identification

Before implementing automatic tagging systems, Pogon Szczecin's analytical workflow suffered from time-consuming manual processes that delayed delivery of tactical insights. Traditional analysis required watching complete matches to identify relevant moments for coaching review.

"We record training sessions and league matches," Kochanowski explains, but manual identification of key events created significant delays between performance and feedback. Analysts spent hours locating specific moments rather than interpreting tactical significance.

The manual process meant analytical staff often worked on previous matches while current tactical issues went unaddressed. Critical coaching moments were lost because feedback arrived too late to influence immediate preparation and development conversations.

Without automated event identification, analytical departments couldn't maintain the responsive workflow necessary for supporting elite-level coaching decisions and player development at academy standards.

How automatic tagging eliminated analytical bottlenecks

Kochanowski implemented AI technology that automatically identifies and categorizes all match events without requiring manual review. "We can generate clips faster, make decisions quicker, and send information to coaching staff faster," he explains about the workflow transformation.

The comprehensive tagging capability covers "goals, shots, crosses" and all other significant match events, creating searchable libraries that analysts can immediately access for tactical review. This automation enables focus on interpretation rather than identification.

"Allowing them to conduct analysis and show players immediately, essentially closing out the match within 24 hours," Kochanowski notes about the accelerated feedback cycle that maintains learning effectiveness while tactical situations remain fresh in players' minds.

Individual player analysis became equally efficient through automatic tagging. "We can separate all video clips individually for each player," enabling personalized feedback delivery that supports individual development alongside team tactical analysis.

Ready to accelerate your analytical workflow?

Kochanowski's workflow efficiency shows how automatic tagging can eliminate analytical bottlenecks while maintaining thorough tactical evaluation. Want to discover how automated systems can transform your academy operations? Veo experts are standing by to help you get started.