01 // Chart StudioRADAR
Radar Chart for Athlete Performance — Sports Analytics Scouting Polygon
An athlete performance radar chart plots a player's league percentile ranks ($0\text{–}99$) across key physical and technical attributes against a positional benchmark or peer.
SUM / TOTAL529
MEAN (AVG)88.17
MEDIAN (P50)89.5
MIN79
MAX94
STD DEV (s)5.49
CHANGE % / CAGR+1.1% (+0.2%)
Hover or tap any bar, point, or slice on the chart to see exact numbers.
Chart Data (6)
Tip: Paste Excel or Google Sheets rows (Ctrl+V / ⌘V) directly into any cell.
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How Values Are Scaled
Percentile rank of value x: PctRank = (Count(v < x) / TotalPlayers) * 100. Composite Overall Rating (OVR) = mean(Attribute_j).
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Chart Design & Use-Case Tips
- 01Percentile rank of value x: PctRank = (Count(v < x) / TotalPlayers) * 100. Composite Overall Rating (OVR) = mean(Attribute_j).
- 02Convert raw per-90 or per-36-minute statistics into league percentiles (0–99) so wildly different units (km/h sprint speed vs. pass %) share a uniform radial scale.
- 03Overlay the Positional League Average in Series B or a competing transfer target to see role specialization immediately.
- 04Use 6 to 8 attributes for an unmistakable hexagonal or octagonal scouting card.
Frequently Asked Questions
Why do sports analysts plot percentiles instead of raw per-game numbers?+
A raw stat of 2.4 tackles per game cannot be plotted on the same axis as 87% pass accuracy unless both are converted into 0–99 percentiles relative to positional peers.
Can I compare three players on the same radar?+
Yes, enter Player C's percentiles in the Series C column of the Data Workbench.
Can I export high-resolution graphics for sports blogs or coaching reports?+
Yes, export a 2400x1500 300-DPI PNG or crisp Vector SVG with one click.