Introduction

Analytics 360 is Tagger's advanced performance analysis module — a complete pipeline that transforms raw tagged event data into polished, presentation-ready insights. From the moment you load a game, you have access to powerful tools for cleansing, exploring, measuring, visualizing, and presenting your team's data, all within a single integrated workspace.

What is Analytics 360?

Analytics 360 extends Tagger's tagging engine with a dedicated analytics environment purpose-built for sports analysts and coaches. Where Tagger captures the events, Analytics 360 makes sense of them — aggregating, filtering, and surfacing the patterns that matter most.

Tagger vs. Analytics 360

The Tagger dashboard is optimised for in-game and single-game analysis — reviewing the current match, examining individual events, and making real-time coaching decisions. It gives you a focused lens on one game at a time.

Analytics 360 shifts the perspective to season-wide performance. By loading multiple games into the pipeline, you can analyse trends across an entire season, compare performances game-over-game, and build insights that span your full body of work. This season-level view unlocks capabilities that a single-game focus cannot:

• Dashboards that reveal trends over time — track metrics across weeks or months, identify patterns, and see how performance evolves.
• Cross-game clip playlists — curate video clips from different games into a single playlist, perfect for player development reels, opponent scouting, or themed review sessions.
• Presentations that combine visualizations and playlists — build slide decks that mix data-driven charts with video evidence, creating compelling narratives for coaching staff, players, and management.

The module is organised around a linear pipeline, but every stage remains accessible at any time. You can jump directly from a loaded game to building visualizations, or from an event query straight into a presentation deck. The pipeline provides structure without constraint.

Availability

The Analytics Pipeline

Analytics 360 is organised into ten workspaces — each a dedicated tab — that follow the natural flow of sports performance analysis:

1. Home

The landing page. See a high-level summary of your analytics environment, including loaded games, pipeline progress, event counts, and quick-access links to dashboards, playlists, and decks. When no games are loaded, Home guides you through the setup process with clear next steps.

2. Games

Select and load games into the analytics pipeline. The Games tab lists every game available in your Tagger database — choose which matches to load, monitor import progress, and manage the games available for analysis. Each loaded game becomes the foundation for every downstream capability.

3. Cleanse

Standardise and normalise event data before analysis. Define cleanse rules to rename teams, players, or event labels, merge duplicate entries, or exclude unwanted events. Cleanse ensures your data is consistent and accurate before it feeds into metrics and visualizations.

4. Explorer

Filter, search, and browse every tagged event across your loaded games. The Explorer tab provides a powerful query interface with column-level sorting, multi-dimensional filters (game, team, player, event name, period, and more), and direct links to video clips. It's the investigative heart of Analytics 360.

5. Playlists

Curate collections of video clips from tagged events — pulling from a single game or across your entire season. Build playlists manually from the Explorer, reorder clips, and play them back with multi-angle video support. Because Analytics 360 works across all loaded games, you can assemble clips from different matches into one playlist — ideal for player development reels, opponent scouting across multiple fixtures, or themed review sessions.

6. Measures

Define reusable event-count measures — simple, named aggregations like "Total Tackles", "Passes into the 22", or "Turnovers in Midfield". Measures are the building blocks that feed into calculated metrics and visualizations, giving you a consistent vocabulary for the events that define your sport.

7. Metrics

Create calculated metrics using a flexible expression editor. Combine measures, reference other metrics, apply arithmetic and statistical functions, and scope calculations to specific games, teams, or players. Metrics turn raw counts into meaningful performance indicators like "Tackle Success Rate" or "Average Possession Retention".

8. Viz

Design visualizations from your measures and metrics. Choose from KPI cards, bar and pie charts, line and area trends, position maps, and detailed data tables. Each visualization is saved independently and can be reused across multiple dashboards and decks.

9. Dashboards

Assemble visualizations into structured dashboards using a drag-and-drop layout designer. Arrange KPI cards, charts, tables, and position maps into rows and columns, apply global filters, and create multiple dashboards for different audiences — coaching staff, players, or management. Because dashboards draw from season-wide data, they excel at revealing trends over time: track a player's tackle success rate across ten games, compare team possession game-over-game, or monitor set-piece effectiveness as the season progresses.

10. Decks

Build slide-based presentation decks for meetings, reviews, and reports. Each slide can embed visualizations, playlist clips, rich text commentary, and custom backgrounds. Decks are where the pipeline's strengths converge — combine a chart showing season-wide trends with a playlist of key moments from different games on the same slide. Decks turn data into a narrative, blending statistical evidence with video proof for the most compelling team reviews.

Key Concepts

Understanding these core entities will help you navigate the documentation and the Analytics 360 interface:

Getting Started

Analytics 360 is ready as soon as you open it — no additional setup or configuration is required. The workflow is simple:

1. Load game data — Load games from your Tagger database in the Games tab to make them available for analytics.
2. Explore tagged events — Use the Explorer to filter, sort, and inspect your event data.
3. Build insights and decks — Create measures, metrics, and visualizations. Assemble them into dashboards and presentation decks.

Feature Summary

Next Steps

Start from the Home tab to get oriented, then load your first game and follow the pipeline through each workspace:

1. Home — Get an overview of your analytics environment
2. Games — Load games from your database and manage your game library
3. Cleanse — Normalise event data for consistent analysis
4. Explorer — Filter and browse your event data
5. Playlists — Build clip collections from tagged events
6. Measures — Define the building blocks of your metrics
7. Metrics — Create calculated performance indicators
8. Viz — Design visualizations for dashboards and decks
9. Dashboards — Assemble visualizations into dashboards
10. Decks — Build presentation decks for meetings and reviews