Вивчайте Comparing Team Performance Over Time

Python for Coaches

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Tracking team performance over time is essential for coaches who want to identify patterns, trends, and areas for improvement. By monitoring scores across multiple games or seasons, you can spot whether your team is improving, remaining consistent, or facing challenges. This approach helps you make informed decisions about training, strategy, and player development. Keeping a record of each game's score allows you to visualize progress, celebrate achievements, and address any declines before they become persistent issues.


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# List of team scores for each game in a season
team_scores = [58, 62, 55, 70, 68, 74, 80, 77, 85, 90]

print("Team scores by game:", team_scores)

To understand whether your team is improving or declining, you need to compare scores from one game to the next. Calculating the difference between consecutive games reveals short-term changes and long-term trends. A positive difference indicates improvement, while a negative value shows a decline. By examining these changes, you can identify which periods saw the greatest progress and which might require additional attention or a shift in approach.


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# Calculate the difference in team scores between consecutive games
team_scores = [58, 62, 55, 70, 68, 74, 80, 77, 85, 90]
score_changes = []

for i in range(1, len(team_scores)):
    change = team_scores[i] - team_scores[i - 1]
    score_changes.append(change)

print("Score changes between games:", score_changes)

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Секція 2. Розділ 2

Comparing Team Performance Over Time

1. What can coaches learn by comparing team performance over time?

2. How can you calculate the change in team score from one game to the next?

3. Why is it useful to visualize performance trends?