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Same Number, Different Player: How eFG% Is Fooling Front Offices Into Bad Three-Point Decisions

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Same Number, Different Player: How eFG% Is Fooling Front Offices Into Bad Three-Point Decisions

Effective field goal percentage is everywhere. It shows up in front office presentations, fan debates, and every analytics dashboard worth its salt. And honestly, it deserves its reputation — adjusting raw field goal percentage to account for the extra value of a made three is a genuinely smart fix to a genuinely dumb problem.

But here's the thing nobody wants to say out loud: eFG% can lie to you. Not maliciously, not in some conspiratorial way, but quietly and consistently in ways that lead teams to misread players, misallocate money, and misconstruct rosters. Especially when it comes to three-point shooting.

Let's dig into why.

The Math Is Right. The Interpretation Is Wrong.

eFG% is calculated simply enough: (FGM + 0.5 × 3PM) ÷ FGA. The formula correctly weights a three-pointer at 1.5 times the value of a two. So a player who shoots 40% from three and 40% from two doesn't have the same eFG% — the three-point shooter does more damage per attempt, and the metric captures that.

Where things break down is when teams treat eFG% as a complete portrait of a shooter rather than a single brushstroke.

Consider two hypothetical wing players — call them Player A and Player B. Both finish the season at a 56% eFG%. Both are shooting around 38% from three. On paper, they're the same guy. Same efficiency, same value, right?

Not even close.

Player A is launching 7.5 three-point attempts per game. He's creating his own looks off the dribble, pulling up from the logo, and still converting at a high rate. Defenses are forced to chase him everywhere. His gravity bends the entire offense.

Player B is taking 3.2 threes per game, all of them catch-and-shoot opportunities off kickouts. He's efficient because he's selective — but he's not putting stress on defenses the way Player A does. You can sag off him. You can ignore him in transition. He's a fine shooter, not a weapon.

Same eFG%. Wildly different offensive impact.

Volume Is a Feature, Not a Bug

This is where a lot of evaluation goes sideways. There's a tendency in analytics circles — and in front offices that learned analytics from the wrong textbooks — to treat efficiency as the only thing that matters. If you shoot 38% on high volume, you're punished for the misses. If you shoot 38% on low volume, you get a gold star for not hurting the offense.

But that framing ignores something fundamental: attempts are not free. Every shot a team takes is a possession spent. A shooter who forces defenses to account for him on every single possession — whether he pulls the trigger or not — is generating value that never shows up in eFG%.

Think about what it means when a defense has to send a hard close-out at a shooter. That's a defender out of position. That's a potential drive lane. That's a scramble rotation that might leave someone else open. The threat of the shot matters, and eFG% is blind to it.

High-volume, high-efficiency shooters are genuinely rare. When you find one, the metric will tell you he's good. What it won't tell you is how much of his value lives in the attempts themselves — in the defensive attention those attempts command.

The Catch-and-Shoot Camouflage

Another place eFG% misleads teams is in the catch-and-shoot versus off-the-dribble distinction. These are not the same skill set, and the market has historically priced them as though they are.

Catch-and-shoot threes are the most efficient shots in basketball. They're open. The shooter has time to set his feet. The defense is already a step behind. A player who exclusively takes these shots is going to post a prettier eFG% than a player who manufactures his own looks — because manufacturing your own looks is harder and produces messier shots.

But here's the catch (no pun intended): catch-and-shoot specialists are only as valuable as the offense around them. Drop them next to a Luka Doncic or a Trae Young, and they'll thrive. Put them in a system without a dominant playmaker, and they'll disappear. Their eFG% stays the same. Their actual contribution craters.

Off-the-dribble three-point shooters, meanwhile, create value independent of context. They're harder to find, harder to scheme against, and harder to replace. But because their shot diet is more difficult, their eFG% often looks worse than the catch-and-shoot guy sitting next to them on the free agent market.

What Savvy Front Offices Are Tracking Instead

The teams getting this right aren't throwing eFG% in the trash — they're contextualizing it. A few of the data layers that matter:

Shot quality metrics. Expected eFG% (or xeFG%) models what a league-average shooter would do from the same locations under the same defensive conditions. If a player's actual eFG% beats his expected eFG% consistently, he's genuinely good. If he's just getting great looks, he might be a system product.

Defensive attention data. How often is the nearest defender within four feet when this shooter catches the ball? Is the defense going under screens or fighting over them? Players who command tight coverage are doing something right even when they're not shooting.

Shot creation rate. What percentage of a player's three-point attempts are self-created versus assisted? This separates the weapons from the beneficiaries.

Frequency in late-clock situations. Can this player get a clean look when the play breaks down and the shot clock is dying? That's a completely different skill from knocking down an open corner three.

Consistency across contexts. Does this player shoot the same when his team is down ten as when they're up fifteen? eFG% flattens all of that out.

The Bottom Line

eFG% is not the enemy. It's a genuinely useful tool that corrected a real blind spot in how basketball evaluated scoring efficiency. But useful tools become dangerous when people mistake them for complete answers.

Two players can share an identical eFG% and represent completely different levels of three-point value. One might be a primary scoring option who bends defenses into pretzel shapes. The other might be an open-shot specialist who disappears the moment a defense decides to ignore him.

Front offices that can't tell the difference are going to keep overpaying for one and undervaluing the other. And in a league where roster construction is increasingly the competitive battleground, that's not a small mistake.

The number on the page is the starting point. What actually happened to get there — that's the story.

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