Electric Insights
NBA 2014–15 Shot Logs · 33,362 Three-Point Shots

Shot Log Explorer

Descriptive views of the released data

Explore the 2014–15 NBA shot log data. See how shots were distributed across conditions, which conditions moved together, and how one group of shots compared to another.

Frequencies, cross-tabs, and correlations. Use this to orient before turning to the explanatory tools — descriptive prominence and what actually moves the headline are not always the same thing.

Published model: All-or-Nothing Simulator · Fine-Tuning Simulator Inspect & challenge: Model Builder

How to Use This Tool

Pick what you want to know, then which shots and conditions, and click Run Analysis. Expand for details.

1. Pick what you want to know

How were shots distributed? — Frequencies. Which conditions moved together? — Correlations. How did one group of shots compare to another? — Crosstabs (pick exactly two conditions).

2. Pick shots and conditions

Optionally filter to a single player, then check the shot-condition variables you want to look at. The published-model conditions are pre-checked; use the search box, category buttons, or "Restore defaults" to find or reset.

3. Run and read

Click Run Analysis. Results appear below — scroll down. The data is the full 2014–15 SportVU-tracked three-point shot log: 33,362 attempts across 281 players.

Advanced features

Pin runs to compare

Click Pin this run in the results header to save a snapshot. Pinned runs collect at the bottom — expand to compare previous results side by side.

Filter and search

Search by keyword or condition code (e.g. "DefDist" or "Curry"). Category buttons narrow the list by topic. Click × on any active filter chip to clear it.

Go deeper

Conditions you find here can go straight into the Model Builder to test what predicted 3-point shot makes. The Explorer is a good first step before modeling.

What do you want to know?

Pick the kind of look at the data; variable choices follow from this.

Whose data?

By default, all respondents. Optionally restrict to a subgroup or single entity.

One subgroup variable at a time. Only levels with at least 100 respondents are shown.

Which variables?

Select by category: (Click to highlight & select all variables in a category; click again to deselect.)
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