DSC 106 · The Paint Killers · UC San Diego · Shivam Sharma, Luis Corona, Jimbo Cai, Manning Karahashi · shivamsharma0608.github.io/dsc106_finalproj/

The NBA you grew up
watching no longer exists.

Over 30 years, basketball didn't just evolve — it had a complete identity crisis. Explore how the game changed, who it left behind, and whether it got better.

The Game Over Time
Where Shots Come From
Death of the Big Man
Efficiency Revolution
If They Played Today
Was It Worth It?
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AND — Section 1 of 6

The game looked completely different in 1994.

Pace was slower, scoring was lower, and the 3-pointer was a tactical afterthought. The numbers tell a story of gradual shift followed with a sudden explosion that broke every trend.

The Game Over Time — League Averages per Team per Game
Metric: Era focus:
AND — Section 2 of 6

The court itself changed.

It wasn't just how many threes were attempted. More importantly, it was where every shot came from. Teams systematically abandoned the mid-range jumper — the pull-up 15-footer that defined Jordan, Kobe, and a generation of NBA scorers — because analytics showed it was the worst value shot on the court. Drag the slider to watch that zone shrink, year by year.

Where Shots Come From — Shot Zone Frequency by Season
Season:
Bubble Color = eFG% Efficiency
Very efficient (>58%)
Above average (52–58%)
Average (46–52%)
Below average (40–46%)
Inefficient (<40%)
Bubble Size = Shot Frequency
High volume zone
Low volume zone
2010–11 baseline Midrange shots account for 18.3% of points. The paint dominates. The 3-pointer is still secondary.
How to read this Size = how often that zone was used. Color = how efficiently (eFG%). Green = good shot. Red = bad shot. Hover any bubble for exact numbers.
BUT — Section 3 of 6

It killed the traditional big man.

Centers and power forwards — the big guys who dominated through brute force, post-up scoring, and rebounding — used to be the most feared players in the league. Shaq, Hakeem, Ewing, Malone. Today's big men are expected to shoot threes, pass out of pick-and-rolls (where a big player sets a screen and then either rolls to the basket or "pops" to shoot), and space the floor for guards. The skill set required to play inside has been completely rewritten. The radar chart below compares the average big man stats across three eras — notice how the three-point axis barely existed in the 90s.

Death of the Big Man — Position Stat Radar by Era
Position: Show eras:
90s–00s avg big man
2010s avg big man
Today (2020–24)
The 3PM axis tells all Centers went from 0.1 → 1.4 three-pointers per 36 min. An 18× increase.
Assists surged too Modern bigs pass out of pick-and-roll — a skill the 90s big man never needed.
BUT — Section 4 of 6

And it made players more efficient than ever.

Here's the counterargument to "the old NBA was better": modern players are converting shots at a higher rate than any previous generation. True Shooting % has hit all-time highs in recent years. The revolution didn't just change what shots players took — it changed how well they were made. Each dot below represents a player-season. Hover to see who they are.

Efficiency Revolution — eFG% and TS% Over Time by Era
Position: Era:
90s–00s / 2010s player-seasons
2015–present player-seasons
Circle size = minutes played
Modern players shoot better League avg TS% rose from ~52% in the 90s to ~58% today — the orange cloud sits visibly right of the green.
Scoring held steady What changed is how efficiently those points were earned — the revolution is in shot selection, not volume.
THEREFORE — Section 5 of 6

What if the legends played today?

The 90s' greatest players dominated by any standard — but the pace was slower, and a lot of stats naturally went up when the modern game sped up. Pick a legend below, pick a modern star to compare, and see how the numbers change when you put both players on a level playing field. Toggle "Era-Adjusted" to normalize for pace and league-wide efficiency shifts.

Before you interact — a prediction

We expected the legends to look worse by modern standards — slower pace, lower efficiency baseline, fewer threes. They don't. In fact, most of them look even more dominant when you put them on a level playing field. Try Shaq first.

If They Played Today — Era-Adjusted Stat Translator
Compare a 90s legend's career-peak stats — raw, or normalized to today's pace and efficiency — against a modern star at their peak.
Legend — Raw
Modern Star
Legend's Career Year
Stat guide: PPG = points per game  ·  RPG = rebounds per game  ·  APG = assists per game  ·  BPG = blocks per game  ·  TS% = True Shooting %  ·  USG% = Usage Rate
Era Adjustment Method Toggle "Era-Adjusted" to apply pace and efficiency normalization based on Basketball Reference league averages.
The Verdict Loading comparison...
TAKEAWAY — Section 6 of 6

Did the revolution make basketball better?

A very debatable topic. The numbers changed. The game changed. The players changed. Whether basketball got better or worse is a question the data can illuminate — but not answer for you.

1
Three-point attempts tripled from the mid-90s to 2024, reshaping every position and every team's identity.
2
True Shooting % hit all-time highs in 2023, demonstrating that the modern NBA is statistically the most efficient version of basketball ever played.
3
But the midrange jumper nearly died. The mid-range pull-up, post scoring, and one-on-one isolation plays that defined Jordan, Kobe, and a generation of fans' favorite moments have been largely engineered out of the game.
4
Legends look different depending on which lens you use. Era adjustment reveals that some 90s stars were even more dominant than their raw stats show — and some were helped by the slower game more than we realized.
Why this visualization works where others don't

Reading a Wikipedia article, or a statistic being announced during a game about the 3-point revolution tells you it happened. Our visualization lets you see exactly what changed. Dragging the court slider from 2010 to 2024 and watching the midrange bubble shrink in real time is viscerally different from reading a statistic. Toggling Shaq's stats from raw to era-adjusted and seeing his scoring jump isn't something a static bar chart can convey, and much more easily understood through this sort of interaction. That's what makes an explorable explanation more powerful than an article.

So — did the NBA get better?