The Weak Case against Shai-Gilgeous Alexander

Now that Oklahoma City’s season is over, the Shai Gilgeous-Alexander discourse can finally breathe a little.

In the thick of their run, everything around Shai was magnified. As a viewer and (unfortunately?) a participant in NBA social media circles, it seemed like every fall, every whistle, every replay, every free throw became part of a bigger argument about whether his game was real, fraudulent, brilliant, annoying, ethical, unethical, or some combination of all of the above.

This is, to be fair, a really hard conversation to have in the middle of a playoff series, when every possession gets pulled into whatever team you want to win or lose.

So maybe this is a better time to separate the feelings from the evidence.

It seems like–regular season or post–every few nights, Shai Gilgeous-Alexander generates plays that trigger people into a moral spiral.

We saw it dozens of times just this postseason: Shai makes a slow, slithering drive into the paint, catches a defender slightly off balance, and uses a shoulder bump that creates contact. Then: A fall. A whistle. Two free throws.

If those plays make you roll your eyes, I actually completely understand. It’s not the same, but I personally hated watching late 2010s James Harden manipulate his way to 13 free throws a night (note: I was also a huge (and biased) Steph Curry fan who didn’t like the “who’s better” comparisons between the two at the time). Free throws are boring. Foul-heavy basketball kills the rhythm of a game. Some calls look soft. Some calls are soft. We don’t need to pretend every Shai possession is a monument to aesthetic beauty.

The problem is that the argument against him has grown far beyond aesthetic preference or taste.

The claim is bigger than “taste”

The claim now is that Shai is uniquely fraudulent. That he flops more than everyone else and tricks officials more than everyone else. His whistle is fake, and therefore his scoring is inflated, and therefore his MVP case should come with an asterisk. All-in-all, his game is uniquely “unethical.”

But these are massive claims. They require more evidence than people actually have.

The NBA’s own definition of flopping from when they implemented an anti-flopping rule in 2012 is useful here: “A flop is an attempt to fool referees into calling undeserved fouls, or to fool fans into thinking the officials missed a call, by exaggerating the effect of contact.” The league’s test of flopping whether the player’s reaction matches the force and direction of the contact.

That definition goes far beyond the act of falling. A flop requires a judgment about contact, force, direction, reaction, and intent. A player can fall after real contact. A player can fall because he lost balance. A player can fall because the safest way to land is to go down instead of trying to stay upright through awkward lower-body contact. A player can also fall to sell a call.

But all those possibilities can similar in real time or even on replay.

This is where a lot of the recent Shai discourse breaks down: people are treating “falling” and “flopping” as interchangeable because one is easy to see and the other is hard to prove. Falling is easy to observe and count, but flopping is much harder to establish.

That gap—in a post-Tom Haberstroh “falling percentages” world—has now officially swallowed the conversation.

The problem with “use your eyes”

The popular answer (at least on Twitter) is usually some version of “use your eyes.” That sounds very confident and definitive and common sense. “We don’t have to complicate this, just watch the games.” Of course, anyone who talks about basketball without watching the games is going to miss a lot. The eye test (and more importantly, film study) is useful for judging individual plays and the physical details that numbers have difficulty capturing.

But “use your eyes” is an extremely weak tool for the claim people are making about Shai.

To prove that Shai receives a uniquely fraudulent whistle, you would need to assess a lot at once. You would need to know, for example:

  • How often he gets calls he should not get

  • How often he absorbs illegal contact without a whistle

  • How often he exaggerates real contact

  • How often that exaggeration creates a wrong call

  • How all of that compares to every other star scorer who also pressures the rim, commands attention from multiple defenders, manipulates individuals tasked with slowing them down, and plays through ample contact

That is an enormous tracking project.

Fans, and even analysts, are not doing that. They are watching Shai under premeditated suspicion. Every fall becomes a data point in their mind. Every head snap gets logged and every whistle becomes part of the growing case against him. Then they compare those vivid examples against a loose memory of other stars.

This is not a reliable way to evaluate a comparative claim.

It is especially shaky because great scorers draw fouls for reasons that have nothing to do with fraudulence. They are extraordinarily difficult to guard and frequently score in the face of typically good-enough defense. They force defenders out of position, make help come early, and turn small mistakes into contact.

Shai is elite at all of that.

He plays at an unusual pace. He changes speeds without giving defenders a clean rhythm. Play after play, he gets defenders on his hip and keeps them there. His herky-jerky, unconventional style allows him to drive into pockets of space where the help defender is slightly late and the primary defender is already trailing. He stops suddenly and often rises from off balance positions or he craftily attacks the defender’s recovery path. He consistently creates possessions where the defense has two bad options: give up a clean shot he’s likely to make or double down their effort or physicality and risk the foul.

That is all real skill.

The Haberstroh problem

Then came Tom Haberstroh’s fall-rate work.

Haberstroh tracked Shai’s falls and compared him to other players. The piece had a simple but sticky premise: Shai falls a lot, and he falls because it “works.”

As a piece of internet packaging, the piece was almost perfectly engineered for the moment (as a content strategist myself, I can appreciate the attention mechanics). The NBA discourse was already obsessed with Shai as a flopper, and fans had been waiting for something that felt like proof. Tom gave them a number. The only problem is the number measured falling, while the conversation was about deception. Those are very different things.

The fall-rate data can support a narrow claim: Shai fell a lot in the observed sample. It could also support the claim that his fall rate was unusual relative to the comparison players. That’s worth discussing.

But every stronger conclusion people are building on top of that number requires another layer of evidence. Just for example:

  • How much contact was there on falls?

  • How often did falls involve defenders in or around his landing area?

  • Did the fall match the force and direction of that contact?

  • Did the fall create the call?

  • How often did he stay upright through illegal contact?

  • How often do other stars exaggerate contact in ways that do not involve falling?

  • How should we compare a player who lives in deceleration moves and crowded midrange drives to players with different shot diets?

  • What are the variety of possible reasons he might fall aside from to fool referees into calling undeserved fouls?

A fall-rate stat cannot answer those questions by itself.

This is a known issue with proxies: the thing being measured is falling, but the thing being argued is flopping. Proxies can be useful, but they become dangerous when people treat them as the actual thing they are trying to measure.

An observation can match a theory while doing very little to prove it. For example, flat-earth believer might say the “horizon looks flat from where we stand, " which perfectly maps onto their theory of a flat earth. But that same observation also fits the reality of standing on a very large sphere where the curvature is hard to detect with the naked eye. The observation is compatible with the theory, but it does not carry the burden the theory places on it.

A similar thing is happening here. Shai falling more may fit the flopping theory. But it also fits several other theories: play style, contact volume, deceleration, balance, landing mechanics, injury prevention, or some combination of all of them. The fall-rate number raises a question. It does not answer it.

A player can fall for many reasons:

  • He can fall to give the impression of contact when none is there

  • He can fall in an effort to exaggerate or draw attention to contact

  • He can absorb contact and fall as a result of being pushed or bumped

  • He can lose balance after a sudden stop or after leaving the floor from an off-balance position

  • He can fall to try to avoid landing on someone’s foot (especially if he is playing in crowded areas more often than other players)

  • He can choose to use a controlled fall because fighting to stay upright through awkward contact puts more stress on his knees, ankles, hips, or back.

This is not the first time player falls have been counted and tallied. Chris Herring wrote a piece for ESPN about how frequently Joel Embiid fell in the 2018-2019 NBA season. He found that Embiid fell at the equivalent of once every 10 minutes of on-court time. (Haberstroh’s count actually puts SGA in a similar range.) When asked why he falls so often, Embiid said: “It was something I learned during my rehab when I was going through the foot injury, when I was trying to find ways to limit the impact on my body in 2014. I was told that every time I feel like I'm in a situation where it's going to be some type of extreme [weight] on my leg, I've got to dive or just roll onto the floor. So that's why I do it.”

Shai dealt with a number of lower-body injuries early in his career. A right foot injury cost him significant time in 2021. A right ankle sprain sidelined him for weeks in 2022. A left MCL sprain caused him to miss the start of training camp later that year.

Fans, of course, will dismiss this potential reasoning as BS. They’ll point out that, like Shai, Embiid is another infamous flopper who probably made up the injury-prevention excuse to mask his true flopping ways.

And it is true that Shai’s injuries do not prove why he falls now. But the quickness to dismiss one hypothesis while wholeheartedly accepting another is telling. The existence of other plausible explanations for the fall disparity makes the intent question more complicated than “he hit the floor, so he must be faking.”

That is where the Haberstroh piece frustrated me, personally.

The work may have been careful in some places, but the framing handed the internet exactly what it wanted: analytics-shaped confirmation bait. A proxy stat got placed into a discourse that was already desperate for a smoking gun, and the predictable result was that people treated “falls more” as “flops more,” then treated “flops more” as “he’s an overrated grifter who is bad for the sport.”

The existing evidence simply cannot carry that much weight.

The strongest conclusion is much more limited. The public evidence for Shai as a uniquely fraudulent foul-drawer remains thin. The case sounds much stronger than it is because it combines vivid clips, fan irritation, selective memory, and a proxy stat that seems way more conclusive than it actually is.

BUT what if he is foul baiting?

All of that brings us to a separate question.

Suppose Shai were actually trying to draw fouls as aggressively as possible. Suppose he sells contact and understands that certain movements make whistles more likely. Or that he has learned how to place defenders in positions where the official has to choose between rewarding the offensive player or ignoring illegal contact.

Most NBA fans would not want to hear this, but the truth is that would simply be rational basketball.

Free throws are the most statistically efficient outcome in the sport. For an elite free throw shooter like Shai, a trip to the free throw line generates around 1.75 points per possession. When compared with average points per offensive possession in the NBA—around 1.16 in 2025—a player getting to the line frequently overwhelmingly improves his team’s chances of winning. And it’s not just how efficient these possessions are; drawing fouls can create foul trouble for the best opposing defenders, slow the opponent down, stop runs, let your defense get set, and in late-game situations, stretch the game by stopping the clock.

A player who can reliably create those possessions has found an extremely profitable part of the game.

This is where the ethics language around foul drawing gets strange to me. People use terms like “unethical hoops” as if a professional basketball player has some obligation to play below the rules, below the incentives, and below his team’s best interest because the audience dislikes the way the advantage looks.

That makes no rational sense.

Basketball is a crafted incentive system. The league writes the rules and dispatches a team of officials to enforce them. Players adapt. If the league does not want certain behavior, the league can change the rules, change the whistle, review plays after the game, fine repeat offenders, instruct officials differently, or make certain types of contact-seeking a lot less rewarding.

That burden belongs to the rule-makers and the officials. It does not belong to an individual player trying to win within the hard rules of the game.

No serious competitor should donate points to satisfy an audience’s aesthetic preferences. No star player should give his team a worse chance because fans have romantic ideas about what “real hoops” should look like. If a legal tactic helps win possessions and the officials continue to reward it, the player has every reason to use it.

The strange part is that more players do not treat foul drawing like a serious developmental skill.

If basketball were a more rational market, foul drawing would be a skill trained more openly. Players would hire retired officials to learn loopholes and strategies for exploiting them. Youth coaches would teach players how to punish a defender’s illegal position instead of treating that as some dark art. There would probably be foul-drawing camps.

Much of that sounds ridiculous because the social penalty is incredibly real and potent. Players don’t want to be called floppers, free throw merchants, foul baiters, or soft. They don’t want the internet attaching an asterisk to their scoring or accolades, and they don’t want their peers to see their game as cheap.

So they pay a “tax.” I call it the “shame tax.”

The shame tax is the cost of avoiding an efficient tactic because of how it damages your public image. A player may take a worse shot because the worse shot looks cleaner or avoid “ugly” points because they are reputationally expensive. A player may choose to shoot 50% or worse at the free throw line even if shooting underhanded may significantly increase his free throw percentage and, therefore, his ability to help his team win. He may choose the version of basketball people respect over the version that produces the better outcome.

It is possible Shai may just be willing to pay less of that tax than most stars.

That might be part of what makes him annoying to people. He doesn’t always give fans the kind of scoring genius they prefer. He gives them the kind that keeps finding the exploitable points of the NBA’s rulebook. He turns defender mistakes into free throws and wins possessions in ways that feel almost too procedural to be unanimously loved.

All of this leads into to a broader story about the Thunder as an organization.

Why this Is bigger than Shai

Shai has become the player version of what bothers people about Oklahoma City. The Thunder are the league’s most obvious example of organizational intelligence turning into dominance. They did a patient rebuild with tanking sprinkled in. They collected picks and valued flexibility and found role players who fit before the public fully respected those players. They hired and trusted a smart, innovative-thinking coach who turned a young roster into a machine. They resisted the kind of short-term moves fans often demand because the team’s ownership gave them room to build something more durable.

OKC seems to keep finding value in places that make people uncomfortable.

The tank was uncomfortable to people. The patience and runway they had was uncomfortable. The seemingly endless depth is uncomfortable because it makes the team feel less dependent on one heroic figure. The defense is uncomfortable because it crushes teams without needing the usual star-driven mythology.

Shai’s foul drawing seems to fit that same ethos.

That is probably why the backlash feels larger than a normal stylistic complaint. Shai’s game has a cold logic to it. Oklahoma City’s team-building has a cold logic to it. The Thunder often make basketball feel less romantic and more “solved.”

Fans often celebrate intelligence when it looks like artistry. They love the no-look pass, or the impossible fadeaway jumper, or when the defender gets spun around by footwork. They get much less generous when intelligence looks like someone read the rulebook really closely and found all the loopholes from which they can pull incremental advantages.

The Shai discourse often starts from a legit place: free throws can be boring and some calls are bad. That’s true. Fans are entitled to prefer a different kind of product, and the league can decide the product would be better with a different whistle.

All of that is totally fair.

The leap comes when annoyance starts to masquerade as evidence. In the case of Shai or any suspected “foul baiter,” a style people dislike gets treated as proof of fraudulence and “unethical” behavior. A fall-rate stat gets treated as proof of intent. Or a player doing what the game rewards gets blamed for the reward structure.

The case against Shai simply needs better evidence.

Maybe he does flop more than other stars or he does get an unusually friendly whistle. Or maybe his fall rate reflects a level of embellishment that deserves more scrutiny from the league. Those are possible claims.

But they remain unproven claims. Claims with only weak evidence behind them.

Until someone tracks the contact, the calls, the non-calls, the embellishment, the correctness of the whistle, and the comparison to other stars who have similar shot diets and create similar pressure on the rim, the certainty around Shai is confidence without measurement. It’s okay to not have definitive answers.

You can hate watching him shoot free throws and want the league to change the way these plays are officiated. You can think some of his falls are ridiculous.

But the anti-Shai case still needs evidence it does not currently have.

For now, a lot of the discourse is doing the same thing it accuses him of doing.

Exaggerating contact.

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