NBA Age-20 Scout

Ace Bailey Prospect Trait & Archetype Visualizer

Source: @NBA 20th Birthday Post | 6'8" Wing | Age 20 Baseline
Interactive Shot Creation Sandbox
Click anywhere on court to add shot attempts or drag existing nodes to alter court geometry.
Zones: Rim Pressure (<5ft) | Mid-Range Pull-Up | 3PT Creation
Age-20 Archetype & Prospect Trait Matrix
Adjust custom trait sliders to observe real-time Archetype Similarity Index.
Usage Rate (25.0%)
Rim Frequency (38.0%)
Mid-Range Efficiency (44.0%)
3PT Percentage (36.0%)
Assist Rate (14.0%)
Defensive Length Score (7.8)
Primary Similarity Match
Ace Bailey (Base)
88.4% Archetype Match
Development Key & Edge
Playmaking read timing
Length-driven Contest Impact
Historical Age-20 Rookie Wing Benchmark Comparison
Prospect Archetype Benchmark Age Usage Rate Rim Frequency Mid-Range % 3PT % Assist % Def. Length Impact Match Index
Scout Summary Readout: Grounded baseline for Ace Bailey at Age 20 shows high mid-range pull-up comfort (44.0%) and upside in defensive length impact (84" wingspan). Shot creation map contains 24 active nodes.

Mapping Court Shots to Archetype Similarity

Read the explanation

In the sandbox, every shot placed on the court is classified by distance from the hoop: rim under five feet, mid-range pull-up, or three-pointer. When shot locations shift, the tool computes rim frequency and zone percentages, instantly redrawing the six-axis radar polygon. Six trait differences are normalized and squared, then summed to calculate distance and produce the Archetype Match percentage. Selecting a preset like Dynamic Scoring Wing resets shot distribution and updates the top match score in real time.

Archetype Similarity Scoring and Court Zone Mapping

How does this sandbox convert shot locations and trait sliders into an archetype similarity percentage?

This visualizer evaluates wing prospects across six traits: usage rate, rim frequency, mid-range percentage, 3-point percentage, assist rate, and defensive length score. When shot markers are placed on the interactive half-court, the page determines shot type based on distance from the hoop (within 70 SVG units for rim, beyond 220 units or out wide for 3PT, and in-between for mid-range). The script normalizes each trait's offset from four pre-programmed benchmark wings, computes a root-mean-square distance, and presents the closest benchmark as an archetype match percentage.

The preset archetypes, baseline statistics, and defensive scores are hardcoded demonstration fixtures rather than official NBA tracking camera data or predictive scouting projections. In the court sandbox, shot outcomes (make vs. miss) are assigned using a simple pseudo-random generator, and the preset switcher buttons contain an unhandled ID reference in the original code, meaning sliders and direct canvas interaction serve as the reliable controls.

Try a worked example

Adjusting the Rim Frequency slider changes the trait profile and recomputes the Euclidean similarity index. For example, moving the Rim Frequency slider from 38.0% to 55.0% immediately reflects in the readout, recalculates normalized differences against each benchmark profile, and updates the table's Match Index scores in real time.

Distance and Similarity Metric

For each of the six indicators, the tool measures normalized distance: d_trait = ((custom - benchmark) / scale)^2, using scale factors of 0.20 for usage, 0.40 for rim frequency, 0.25 for mid-range efficiency, 0.17 for three-point percentage, 0.25 for assist rate, and 4.5 for defensive length score.

The total composite distance is computed as the square root of the mean squared normalized differences: totalDist = sqrt(sum(d_i) / 6). The reported match score is (1 - totalDist) * 100, clamped between 0% and 99.9%.

Court Classification Geometry

The SVG court coordinates place the rim at (250, 52). Clicks or dragged shot nodes compute Euclidean distance to this coordinate. Distances under 70 units register as rim attempts, while coordinates with a distance over 220 units (or x < 30 or x > 470) are classified as 3-pointers. All intermediate attempts are labeled mid-range.

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