Great spot! Currently testing a mixture of chart creation in Excel and utilising Figma to make charts more visually pleasing, great for design, not so great for DQ! Thanks again.

Appreciate the feedback, I toyed with the option of setting a minimum number of total passes and sorting by accuracy% (eg. only players who have 50+ total passes), however, this removes any players who underperform in a game, which is still useful info.

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If I were to do a general comparison (eg. passing accuracy across the World Cup so far) I would set a minimum and sort by %, comparing relative peers, as you said, but I think for ad-hoc reporting on individual games it sets a better precedent including all players/all passes. Again, appreciate the feedback.

I just find it more practical to list by total passes because:

Player A who plays 5' could have 1/1 successful pass = 100%

Player B who plays 90', 90/100 successful passes = 90%

At a glimpse 'Player A' looks the "better" player, when in actual fact this isn't the case. Ultimately it's personal preference.

Data source: Sofascore

Tools used: Excel + Figma