🇦🇷 Argentina - Team Analysis

Key Findings

Detailed Event Analysis (All Matches)

All Goals: No significant overall impact found for all goals, though there was a increase in average recovery time (42.31 to 86.46).
Injuries: Across all matches, the team has significantly faster recovery times after injuries with a small effect size (Cliff's Delta: 0.2838). Average recovery time decreased from 113.31 seconds before to 73.44 seconds after injuries.
Substitutions: No significant overall impact found for substitutions, though there was a decrease in average recovery time (79.04 to 63.11).
Tactical Shifts: No significant overall impact found for tactical shifts, though there was a decrease in average recovery time (79.80 to 61.47).
Yellow Cards: No significant overall impact found for yellow cards, though there was a increase in average recovery time (66.43 to 79.33).

Recovery Times - Team Level

Normality Test Results

Event Type Sample Size Shapiro-Wilk Statistic p-value Normal Distribution
All Goals 72 0.6025 0.000000 No
Substitutions 217 0.8208 0.000000 No
Tactical Shifts 102 0.8779 0.000000 No
Injuries 139 0.8249 0.000000 No
Yellow Cards 64 0.7084 0.000000 No

Mann-Whitney U Test Results

Event Type Before Sample Size After Sample Size Mann-Whitney U p-value Significant Difference BH Corrected p-value Significant After BH Cliff's Delta CI Lower CI Upper Effect Size Explanation
All Goals 32 40 521.0000 0.179274 No 0.335327 No -0.1859 -0.4321 0.0625 Small No significant difference (CI includes 0)
Substitutions 94 123 6130.0000 0.446979 No 0.446979 No 0.0604 -0.0941 0.2024 Negligible No significant difference (CI includes 0)
Tactical Shifts 43 59 1425.0000 0.290423 No 0.363029 No 0.1234 -0.1033 0.3508 Negligible No significant difference (CI includes 0)
Injuries 79 60 3042.5000 0.004265 Yes 0.021327 Yes 0.2838 0.1121 0.4630 Small Significantly faster recovery after events (CI entirely above 0)
Yellow Cards 30 34 414.5000 0.201196 No 0.335327 No -0.1873 -0.4688 0.1000 Small No significant difference (CI includes 0)

Recovery Impact Analysis

Event Type Avg TRB Before (s) Avg TRB After (s) Faster After Event
All Goals 42.31 86.46 No
Substitutions 79.04 63.11 Yes
Tactical Shifts 79.80 61.47 Yes
Injuries 113.31 73.44 Yes
Yellow Cards 66.43 79.33 No

Match-specific Analysis

Select a match to view detailed analysis:

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Football Analysis Guide

This guide explains the statistical terms and analysis used in this dashboard.

TRB (Time to Recover Ball)

The time (in seconds) it takes for a team to regain possession after losing the ball. Lower times indicate better defensive pressing or recovery.

Event Types

All Goals: Includes goals scored by either team

Substitutions: Player replacements during the match

Tactical Shifts: Changes in team formation or strategy

Injuries: Stoppages due to player injuries

Yellow/Red Cards: Disciplinary actions by the referee

Shapiro-Wilk Test

A statistical test to check if data follows a normal distribution (bell curve).

p-value: If this number is less than 0.05, the data is NOT normally distributed.

What it means for coaching: Non-normal data suggests there are inconsistencies in recovery times - some very fast recoveries and some very slow ones, rather than most being around the average.

Mann-Whitney U Test

A statistical test that compares recovery times before and after events to see if there's a significant difference.

p-value: If this number is less than 0.05, there IS a significant difference in recovery times before vs. after the event.

BH Corrected p-value: When multiple tests are performed, the Benjamini-Hochberg (BH) correction adjusts p-values to control the false discovery rate. This helps avoid finding false significant results.

Significant After BH: Shows whether the result remains significant after applying the BH correction. This is a more conservative and reliable indicator of true effects.

Cliff's Delta: Measures the size of the effect:

  • Negligible: Less than 0.147
  • Small: 0.147 to 0.33
  • Medium: 0.33 to 0.474
  • Large: Greater than 0.474

Direction of Cliff's Delta:

  • Positive values (+): Recovery times BEFORE the event are generally higher than after the event. This means players take LESS time to recover the ball following the event (faster recovery).
  • Negative values (-): Recovery times BEFORE the event are generally lower than after the event. This means players take MORE time to recover the ball following the event (slower recovery).

Confidence Interval (CI):

  • The CI Lower and CI Upper values show the 95% confidence interval for Cliff's Delta.
  • This means we're 95% confident the true effect size is somewhere between these two values.
  • For Coaches: If the CI includes zero (e.g., -0.1 to +0.2), the effect might not be reliable. If it excludes zero (e.g., +0.1 to +0.3), you can be more confident in the effect's direction.
  • Wider intervals indicate less certainty about the exact effect size.
  • Narrower intervals indicate more reliable estimates of the true effect.

What it means for coaching: Focus on results that are significant after BH correction, as these are the most reliable findings. These indicate events that truly affect your team's recovery patterns.

Recovery Impact Analysis

Shows whether teams recover the ball faster or slower after specific events.

Avg TRB Before/After: Average recovery time in seconds before and after events

Faster After Event: "Yes" means recovery was quicker after the event

Significant Impact: "Yes" means the difference is statistically meaningful

What it means for coaching: Focus on events with significant impacts. If recovery is faster after goals, your team might be more motivated. If slower after cards, you may need to adjust tactics after disciplinary actions.

Highlighted Rows

Yellow highlighted rows indicate statistically significant findings that deserve special attention from coaching staff.

How To Use This Analysis

For Training: Focus on improving recovery times after events where your team slows down

For Tactics: Consider formation changes after events that negatively impact recovery

For Psychology: Address mental aspects if certain events (like conceding goals) consistently slow recovery

For Opposition Analysis: Look for patterns in how opponents' recovery times change after events