In 2015, the analytics consensus was clear: the mid-range was the worst shot in basketball. The math was simple, average mid-range jumpers produced ~0.82 PPP, while threes produced ~1.05. Smart teams hunted threes and rim attacks; the mid-range was for unskilled players who couldn't extend their range or weren't athletic enough to finish.
Ten years later, the four most efficient high-volume scorers in the NBA, Shai Gilgeous-Alexander, Jalen Brunson, Devin Booker, Jayson Tatum, are mid-range maestros. SGA wins the MVP. Brunson carries a contender. The league has quietly corrected the analytics narrative, and the correction is one of the most interesting tactical stories of the decade.
This piece is the case for the mid-range in 2026, why the analytics didn't actually say what people thought it said, which mid-range shots are efficient, and what young players should learn from the return.
What the Analytics Actually Said
The mid-range argument was based on league averages. The league average for mid-range jumpers in the 2015 NBA was ~40% (0.80 PPP). The league average for threes was ~35% (1.05 PPP). Therefore, the average team should hunt threes.
The mistake was applying league-average math to individual star usage.
Stars don't take average shots. They take their best shots. And for the players whose mid-range mechanics produced 48-54% efficiency, the math reversed:
- 50% mid-range = 1.00 PPP.
- 35% three = 1.05 PPP.
- The gap was 0.05 PPP, within noise, and the mid-range shot was substantially easier to get against an elite defense than the three.
For stars with elite mid-range craft, hunting threes was actually leaving efficiency on the table, because the mid-range shot was available at a higher quality on more possessions.
The 2026 Numbers
The current top mid-range scorers in the NBA, by efficiency at meaningful volume:
- Shai Gilgeous-Alexander: 54%+ on 10-12 mid-range attempts per game.
- Jalen Brunson: 51%+ on 8-10 attempts.
- Kevin Durant: 50%+ on 6-8 attempts.
- Jayson Tatum: 48%+ on 5-7 attempts.
- Devin Booker: 49%+ on 7-9 attempts.
All five produce ~1.0 PPP from the mid-range. That matches or beats the NBA's three-point PPP of ~1.05-1.10. And the mid-range shot is available on possessions where the three isn't, specifically, late-clock possessions, post-up situations, and matchups where the defense aggressively closes out on shooters.
Why the Mid-Range Came Back
Three structural reasons:
- Defenses adapted to the three. Modern NBA defenses closeout harder on the three-point line than they did in 2015. The space behind the close-out, the mid-range, became more available, not less.
- Switching defenses produce mismatches. When a smaller defender switches onto a bigger scorer (or vice versa), the matchup advantage is at the mid-range, not the three. Elite scorers exploit this by taking the available shot at the most efficient spot.
- Late-clock value. Possessions that end at 0-4 seconds on the shot clock are the lowest-PPP situations in basketball. A mid-range pull-up by a 50%+ shooter is better than a contested three by anyone.
The mid-range's value is contextual: it's not the best shot for every player, but it's the best available shot in specific possession types for skilled scorers.
Which Mid-Range Shots Are Efficient
Three shot types separate the efficient mid-range from the inefficient:
Type 1: One-Dribble Pull-Up Off a Side Ball Screen
The Brunson and SGA signature. Side ball screen, one hard dribble, plant on two feet, pull-up at the elbow extended or foul line. The defender can't fully recover from the screen; the dropping big is too far away to contest. Released at the peak of the small jump.
Elite shooters hit this shot at 48-54%. It's the most efficient shot type in the mid-range arsenal.
Type 2: Two-Foot Freeze Pull-Up
The SGA two-foot stop into a pivot freeze. Drive at controlled pace, two-foot stop in the lane, freeze for 0.2 seconds while the defender commits to a contest, release at the freeze. Efficient because the freeze breaks the defender's contest timing.
Elite shooters hit this at 50-55%.
Type 3: Post-Up Turnaround at 8-12 Feet
The Brunson and Booker post-up game. Catch on the elbow or block, back the defender down 1-2 dribbles, turn into a fadeaway or pivot jumper from the 8-12 foot range. The closer-than-mid-range distance plus the size advantage produces high efficiency.
Elite post-up scorers hit this at 52-58%.
HoopBrief currently turns basketball and matchup questions into structured reports using public statistical and play-by-play context. It does not accept film uploads or provide possession-level video tagging.
Which Mid-Range Shots Are Still Inefficient
Two types that the analytics correctly identified as bad, and still are:
- Late-clock contested isolation pull-ups by average shooters. These produce ~0.75 PPP. Worse than any other shot type in basketball. The mid-range hate-mail of the 2010s was mostly aimed at this shot.
- Long mid-range jumpers (18-22 feet) by non-elite shooters. Almost the same expected value as a three but without the bonus point. This is the worst shot in basketball at any volume.
So the modern correction isn't "the mid-range is good." It's "elite mid-range craft, taken at the right spots, by skilled scorers, is efficient. Average mid-range craft is still inefficient."
What Young Players Should Learn
If you project to be a primary handler or secondary creator, the mid-range is a high-priority skill to develop. Specifically:
- The 12-18 foot pull-up. Two-foot, off-the-dribble, repeatable release point.
- The elbow pull-up off a side ball screen. One-dribble setup, plant on two, release at the peak.
- The post-up turnaround at 8-12 feet. If you have a size advantage at your level.
Our how to improve pull-up creation and shot balance piece covers the rep pattern for the 12-18 foot pull-up. Our Play Like Shai Gilgeous-Alexander piece covers the full pace + pull-up + post-up framework.
If you project to be a pure off-ball threat or a stretch-big, the mid-range is lower priority. Stick with the three + finishing. The skill emphasis depends on your role projection.
The Bigger Lesson
The mid-range story is really a story about how shallow analytics gets misapplied. The original data was right; the conclusion was wrong because it ignored individual variance. Smart teams in 2026 use shot-by-shot expected value math rather than league averages, and elite scorers' shot diets are individually optimized rather than league-average optimized.
The lesson for any player or coach studying analytics: league averages are useful for designing system defaults. They're terrible for grading individual decisions.
HoopBrief currently turns basketball and matchup questions into structured reports using public statistical and play-by-play context. It does not accept film uploads or provide possession-level video tagging.
Where to Go Next
The archetype that exemplifies the modern mid-range: Play Like Shai Gilgeous-Alexander.
Sibling pieces: how to create separation like SGA, how to improve pull-up creation and shot balance.
Next step, apply mid-range craft to a real opponent: how to read NBA defensive coverages on film.
Hub: Player Development Hub.