Which Hollywood directors consistently exceed “expectations”?

What we mean by “expectation”

We built a model that evaluates films at a depth that, as far as we know, has no precedent in feature film. It is called Selznick, and it is an incredibly useful tool for one thing: understanding what actually drives box office performance.

It works by decomposing every movie into incredible detail. The narrative itself. The IP it may or may not be based on. The people, the budget, and the distribution that were put together to bring it to audiences. And the market it landed in: box office, reviews, social attention. Film by film, down to the specific details of story and character that made the difference.

Here is how it works, and one term to read carefully. Take any film. Using the model, we simulate all of its plausible outcomes given everything known about it, and the market, at the time. Every studio executive knows the range is enormous, because on paper a film is just ingredients: the script, the director’s record, the star’s fame, the budget. Nobody knows in advance how those ingredients will play together, and the model does not pretend to. It measures all of them, down to which components of the narrative connect with an audience and which do not, and it produces the whole curve of what could happen. That curve is a picture of the project’s risk, and every film’s is different.

The 50th percentile of that curve is what we call the “expected” outcome, and we mean it in the statistical sense, not as a projection: the ordinary result, where nothing goes especially right or wrong. Half the simulated outcomes land above it, half below. For many films it is not even a profitable one. When you see “expected” or “expectation” through the rest of this piece, read it that way. It is a reference line, not a prediction. And that is exactly what makes it useful: anything that lands well above or below it tells you something about the people and the choices that made it happen. Whatever the film, the goal is the same. You want to land as high on the curve as you can.

Joker earned $1.33 billion: above the 99th percentile of its simulated range, very near the top of everything it could have been, against an “expectation” of $248 million.

A $248 million “expectation” might read as low for a character this famous. What that number is really doing is recognizing risk. Next to a Batman Begins or a Spider-Man, this was a far riskier film: a standalone story about a villain, with none of the usual spectacle, a unique take that had huge potential and could just as easily have fallen completely flat. Any studio executive would agree there are many versions of Joker that simply do not work. The “expectation” is where that risk and that potential balance.

They cleared essentially the whole range. $1.33 billion is above the 99th percentile of what the model simulated for this film, $1.08 billion over the “expectation”, and the 11 Oscar nominations and two wins tell you why. Todd Phillips, Joaquin Phoenix, and the rest of the cast and crew hit this one out of the park, and audiences and the awards community rewarded them for it.

There is a greenlight lesson in it too. The budget was $68 million, at least $100 million less than the typical comic-book film, because the risky take came with a contained story. So even the ordinary outcome here, $248 million, is very profitable, and plenty of capable teams land at least there. Add the precedent already on the books, The Dark Knight and Heath Ledger’s Oscar proving that an award-level spin on this character reaches enormous heights, and a film many studios would have passed on out of instinct looks, plotted this way, very much worth the risk. Do Joker well and a global audience shows up, however contained the setting. This film proved it.

One thing to be clear about. This curve does not compare different teams. It holds every ingredient fixed, this script, this director, this cast, this budget, and asks how well those exact people could have executed together. Joker’s answer sits above the 99th percentile, almost at the very top. What separates the 50th percentile from up there is execution: how the team comes together to produce something special. Todd Phillips, Joaquin Phoenix, Robert De Niro, and the rest of that cast and crew did it about as well as it can be done, and the box office and the awards said the same.

Look at the shape of the curve, too, because it is the reality of this business. The distance from the 50th percentile to the 55th is small. The distance from the 95th to the 99th is enormous. Hollywood is a game of huge winners and big losers, and the top of that curve is where the money is, which is why eking out those last few points of execution matters so much. Something happens up there that is genuinely hard to understand: a greater level of creative genius, or chemistry, or both. This piece does not try to decompose it. It makes a simpler point: there are people who do this, and do it consistently. Even in a world where you cannot predict it exactly, that is a lens for understanding who may be worth an enormous bet.

The bigger the director, the higher the “expectation”

One thing to understand before the lists: “expectation” is not fixed. Build a track record and take on bigger projects, and the “expectation” for each new film goes up.

Christopher Nolan is the acute example, and, we will admit, a favorite: his body of work is our favorite of any director working. His first four films tell the mechanism. Memento earned $72 million against an $8 million “expectation”; Insomnia $199 million against $65 million. Then came the Batman films, where the bar itself had grown a hundredfold: Batman Begins landed under its $807 million “expectation” and still returned two and a half times its budget, and The Dark Knight beat a $991 million “expectation” by nearly half a billion dollars.

The rest of the chart is the more interesting part, and it is why the exact percentile is not the point. Since Batman, Nolan has used the power that record bought to take creative risks very few directors would be allowed to take. Anyone who has seen Tenet knows there are versions of that film that are enormous flops. Inception, an original with no book and no franchise, carried an $826 million “expectation” and beat it. Dunkirk, a war film with no stars in the lead roles: above its number. Tenet, a $200 million original about time running backward: above it. Oppenheimer, a three-hour biography of a physicist, “expected” at $182 million: a billion. Bigger and stranger swings, and he keeps landing above the bar. He is on the second list below for exactly that reason.

Two things follow, and they decide how to read the lists. “Expectation” is not profit: Batman Begins missed its bar and was hugely profitable. And this is not a ranking of who is best. It is one measurement, one lens on a career among many we use, and its value is that it shows how someone delivers against what was knowable, and under what conditions. There is a great deal more analytical rigor available for evaluating creative work than the business uses; this is one piece of it.

One fair question before the tables: if we account for a director’s history, why does the bar not catch up with them? It does, and it is a significant factor. But look at what these careers do. As a director’s power grows, they take on bigger and riskier projects, stretching their artistic expression as far as that power allows. Some part of what happens when the right people meet the right material is impossible to fully model, and we will keep trying to understand as much of it as can be understood. Every studio head knows this is a game of risk. There are things you will never predict; you have to be comfortable with that, and understand what can be understood.

The directors who most consistently exceed “expectations”

We looked across nearly every English-language film and studied entire careers: which directors most consistently deliver a box office far above their “expectation”, the 50th percentile outcome, film after film. Here are the ten strongest records among careers of five or more films.

Typical finish is the median landing across a career, each film measured against its own “expected” range: 50th means exactly as “expected”, higher means out-earning it. Total box office above “expectation” sums actual minus “expected” gross across the career. English-language theatrical features with reported outcomes; all dollars inflation-adjusted worldwide.

Who these people are

These are directors working at every scale, some names everybody knows and some far less familiar. What makes them remarkable is what we described above: as each of them succeeded, the bar rose, and they kept knocking it out of the park anyway. Same measure, wildly different careers, one shared trait.

The directors who have exceeded “expectations” by the most total dollars

Now change the lens. Instead of asking how a director’s typical film finishes against its “expected” (50th percentile) outcome, add up the dollars: across an entire career, how much total box office did someone generate above those “expected” outcomes, film by film? That is not profit. It is actual gross minus “expected” gross, summed over every film we studied, and it produces a very different list. Steven Spielberg, across the 32 films of his we studied, has delivered $12.7 billion more than those outcomes combined.

Same definitions as above, careers of four or more films.

What the second list shows

The dollars list is a slightly different lens, and it reveals something. It is the people who do this at the greatest scale, and there is more variance in it: as the bar rises, sometimes you meet it and sometimes you do not. Steven Spielberg has directed almost double the films of anyone else here (32 of them, in our study; we did not study every film of every director), hit after hit after hit, and across a career that long some things go better than others. Yet these are still the people who beat their “expected” outcome over and over again, at a scale where doing that even once is rare.

Why we wrote this

It has been a difficult twenty years for the movie business. There is renewed energy in it now, and a lot of that energy comes from exactly what this piece is about: people defying “expectations”, people making the right bets on new ideas, and those ideas working out.

We built Selznick because we love movies, and because of one thing we cannot stand: great films that never get made, and great people who never get the call, because nobody could see the odds clearly enough to say yes. Every “too risky” is a real loss. Somewhere behind it is a director with a Joker in them, or a writer with an Anora, and an audience of a hundred million people who would have shown up. That is what a billion dollars at the box office actually is: a count of people who came. Landing high on the curve is not an abstraction. It is a theater full of people who loved something.

Everything in this piece is backward-looking, and looking backward does not by itself tell you what to do next. Selznick is built to look forward. On a given project we might start knowing nothing but the writer-director, and even with that little we can find the full range of what the film could be. As the project takes shape, as the cast comes together, as the budget and crew come into focus, that range sharpens. Every person brings a track record, measured the way you have seen here, and beyond the record, specific capabilities: what they have shown they can do, and with whom. All of it goes in, and all of it moves the picture. For everything we know about a project and the people on it, Selznick tells you the risk, and it tells you when you have a real chance to defy the odds.

That is the business: predicting where a film will land on its curve. The best executives already do it, by instinct built over decades, and we have enormous respect for that instinct. What we are building is a way to give it to everyone, starting with the people making creative decisions at our own company. The economics say why it matters. Spend $10 billion a year on content and improve your output by 10 percent, and it could mean billions a year in free cash flow. That is a very large amount of value from a modest amount of rigor.

When we started, most people told us this could not be done: that you could never model creative decisions, or quantify them in any way that would actually inform creative decision-making. There is a strong belief that this part of the entertainment business is all instinct and cannot be measured. We disagree. In our view it is exactly why things are so hard to get made, and why so many studios struggle to stay solvent: in the near-century since David O. Selznick was shaping Hollywood, the job of the studio executive has barely changed. The tooling has improved a little; the method has not. That seems to us an enormous miss, because none of this requires a massive effort. The core of Selznick was built by one person for less than $5,000 in computing costs. A major studio, with hundreds of engineers on staff and the data it already owns, could do this far more easily and far better than we can. We hope they do.

The people on the lists above are a record of something we find genuinely moving: directors who kept taking risks and kept delivering, at every scale, for decades. There are many more like them who never got the chance. Our hope is that work like this makes Hollywood a little less afraid, and a little more able to say yes: to the risky script, the unproven director, the film that looks like a long shot on paper. More of those greenlights means studios that stay alive, more people who get their shot, and more of the movies we all want to see. That is why we built this.