TEAM ANALYSIS
- 00.07: team section
- 00.15: filters selection
- 00.49: icons selection
- 01.02: table with all the data
- 01.11: individual section
PERIOD ANALYSIS
- 00.00: total analysis
- 00.17: trend analysis
FEATURE DESCRIPTION
Team Analysis
Once training sessions have been imported, you can analyze the data by navigating to the Session Analysis section. This area offers great flexibility, allowing you to perform any type of analysis you need.
In the Teams section, you can:
- Select the session and the participants to be displayed in the chart.
- Apply filters and choose the specific segment to analyze, whether it's the entire training session or individual drills.
- Display one or two active metrics simultaneously.
- You can also access advanced metrics, but keep in mind that these are available only for default metrics.
Additional functionalities include:
- Sorting columns to better organize data.
- Viewing metric percentages in relation to game performance.
- Displaying thresholds if they have been set for a particular metric.
- Exporting the data as a PDF or CSV report.
In the tabular view, you can see the data for all players in the selected split based on your active metrics.
For a more detailed breakdown, the Individual section allows you to analyze data for each player separately, providing insights into session summaries and specific performance details.
Period Analysis
By switching to the Period Analysis section, you can conduct a more comprehensive assessment over a selected timeframe.
- The Total view allows you to analyze aggregated data for the chosen period, summing up the selected metrics.
- The Trend view displays how the selected metric(s) evolve over time, showing a day-by-day progression. If two metrics are selected, both will be shown in the trend analysis.
If multiple players are selected, the data displayed will be an average of all players.
At the bottom of the screen, you will find a table containing individual player data, where you can choose which metrics to display for each player.
This structured approach ensures a detailed and customizable performance analysis, helping you make data-driven decisions effectively.