🇦🇷 Argentina vs 🇲🇽 Mexico - Match Analysis

Match ID: 3857289

Key Findings

No significant findings were identified for this match.

Recovery Times - Match Level

Normality Test Results

Event Type Sample Size Shapiro-Wilk Statistic p-value Normal Distribution
Substitutions 33 0.6673 0.000000 No
Tactical Shifts 9 0.8434 0.062984 Yes
Injuries 26 0.8750 0.004512 No
Yellow Cards 12 0.8283 0.020009 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
Substitutions 15 18 147.0000 0.676238 No 0.676238 No 0.0889 -0.3074 0.4742 Negligible No significant difference (CI includes 0)
Injuries 14 12 104.0000 0.313798 No 0.470696 No 0.2381 -0.2381 0.6430 Small No significant difference (CI includes 0)
Yellow Cards 6 6 5.0000 0.041126 Yes 0.123377 No -0.7222 -1.0000 -0.1111 Large Significantly slower recovery after events (CI entirely below 0)

Recovery Impact Analysis

Event Type Avg TRB Before (s) Avg TRB After (s) Faster After Event
Substitutions 48.80 49.63 No
Injuries 104.07 76.39 Yes
Yellow Cards 39.01 142.34 No
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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