Match ID: 3869552
No significant findings were identified for this match.
Event Type | Sample Size | Shapiro-Wilk Statistic | p-value | Normal Distribution |
---|---|---|---|---|
Substitutions | 22 | 0.6861 | 0.000013 | No |
Tactical Shifts | 14 | 0.7910 | 0.003866 | No |
Injuries | 14 | 0.8505 | 0.022577 | No |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Injuries | 8 | 6 | 22.0000 | 0.845780 | No | 0.845780 | No | -0.0833 | -0.7500 | 0.5417 | Negligible | No significant difference (CI includes 0) |
Event Type | Avg TRB Before (s) | Avg TRB After (s) | Faster After Event |
---|---|---|---|
Injuries | 68.11 | 57.87 | Yes |
This guide explains the statistical terms and analysis used in this dashboard.
The time (in seconds) it takes for a team to regain possession after losing the ball. Lower times indicate better defensive pressing or recovery.
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
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.
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:
Direction of Cliff's Delta:
Confidence Interval (CI):
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.
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.
Yellow highlighted rows indicate statistically significant findings that deserve special attention from coaching staff.
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