Presidents Cup at Medinah: Cameron Young and Chris Gotterup, and the Data Gap Behind Two Wins

The first ball went out of bounds

Cameron Young stepped onto the 1st tee for the Saturday morning four-ball session and sent his opening tee shot out of bounds. Medinah, Illinois. Not a slight draw that settled a few metres off the fairway. A genuinely lost ball, with the penalty attached to it, on the opening hole of a day the United States team could not afford a mistake.

What happened next is the part worth analysing. Young and Chris Gotterup still won that four-ball match 2&1. They then walked into the afternoon foursomes session and won 6&4.

Two matches in a single day. One that ran to the 17th hole, one that finished at the 14th with four holes still unused and nothing left to contest. In scoreline terms, the gap between those two results is far wider than it looks.

I pulled up the PGA Tour driving distance table before writing this. Young ranks 14th on tour. Gotterup ranks 7th. Two players inside the fifteen longest hitters in the system.

So the first question I asked myself was not how good they are, but what we are measuring, and what we are leaving out.

The data does not lie. Reputation whispers into the ear of anyone who never opens the spreadsheet.

Context: Medinah, the formats, and a U.S. team backed into a corner

The Presidents Cup is a biennial team event between the United States and an International team drawn from everywhere outside Europe. Europe has the Ryder Cup. Everyone else has the Presidents Cup. That split has defined the event's standing for nearly three decades, and it explains why every result here gets read through a Ryder Cup comparison.

The head-to-head record leans heavily American. The International team has won exactly once, in 2026 at Royal Melbourne. In 2026 at Fancourt the two sides tied 17-17 and shared the cup. Every other edition has ended in a United States victory. That is the statistical baseline any analysis of this event has to put on the table first.

Medinah Country Club's Course No. 3 hosts this edition. It carries one of the deepest résumés in American golf: three U.S. Opens in 2026, 2026 and 2026, two PGA Championships, and the 2026 Ryder Cup, where Europe overturned a 10-6 deficit to win 14.5-13.5. The Miracle at Medinah is a phrase Americans have not let go of.

Course No. 3 measures over 7,600 yards at par 72. It is not a tight, narrow course that demands absolute accuracy off every tee. It is a long course with fairways wide enough to reward distance and greens fast, tiered and severe enough to punish anyone who misses the approach.

That is the first geographic variable. And it is why the U.S. captain pairing his two longest hitters together was not a random choice. It was a deliberate decision built on an assumption that course length converts into scoring advantage.

The American position going into Saturday was bad. They had gone through the second day without winning a single match, swept in the session by the International team. In team golf, a clean sweep is not just dropped points. It shifts the atmosphere in the locker room, the captain's pairings, and the opponents' targeting.

Saturday at the Presidents Cup has two sessions. Morning is four-ball. Afternoon is foursomes. Sunday is singles.

Four-ball, better ball, is a format where each player plays his own ball and the team takes the better score. Miss one, and your partner can still save the hole.

Foursomes, alternate shot, is a format where two players share one ball and hit alternately. Whoever drives the odd holes plays the approach, and so on. There is no safety net. A bad shot becomes your partner's problem from the next position.

Singles is pure individual match play. No partner, no shared tactics, nobody covering for anyone.

Young and Gotterup winning both Saturday sessions meant two points in a single day, delivered at the exact moment the U.S. needed them most. The value sits in the timing as much as in the scoreline.

Data layer one: two driving distance numbers

Seventh and fourteenth in PGA Tour driving distance. That is the entire quantitative technical data set we have on these two players in the Medinah context.

It is worth spending a few lines on what those numbers do and do not mean.

PGA Tour driving distance average has hovered around 300 yards for several recent seasons. Inside the top 20, the gap between 7th and 14th is typically only three to five yards on average. That is far narrower than the rank order implies.

What separates the longest hitters is not the mean. It is the distribution.

A long club does not only create shorter approaches into the next hole. It also creates more offline drives, more balls in thick rough, more situations where a player must choose between attacking and salvaging. The distribution of a long hitter has two long tails: a big opportunity at one end and a big risk at the other.

Young and Gotterup both sit in that group. When they play well, the gap they create over opponents is larger than average. When they play badly, the error is larger than average too.

Medinah amplifies both directions. Wide fairways mean the long ball is punished less than at many other major venues. But fast, complex greens mean that approaching from the rough costs more — not in penalty strokes, but in where the ball finishes on the green and how many putts follow.

This is where the missing data starts to hurt the analysis. We know they hit it far. We do not know how much of that distance actually converted into scoring advantage across these two specific matches.

Data layer two: the mathematics of four-ball and foursomes

This is the part I consider most important in the whole story, and the part most often skipped when people talk about team-event pairings.

Start with a simple calculation.

Suppose a player has a 60 percent chance of finding the fairway on a given hole. That is not far from reality for a distance-first profile.

In four-ball, both players drive. The probability that at least one ball finds the fairway is one minus the product of both failing: 1 - 0.4 × 0.4 = 0.84. Eighty-four percent.

In foursomes, only one player drives each hole, alternating by hole. The probability of finding the fairway on the holes that player drives stays at 60 percent. Nobody covers for him.

Four-ball rewards the maximum of two players. Foursomes rewards the average of both.

That is a structural difference, and it determines which pairings work in which format.

A pairing with one very strong player and one volatile player will do well in four-ball, because the strong player only needs to cover most holes. In foursomes, the volatile player still drives on half the holes and still plays the second or third shot on the other half after his partner drives.

Conversely, a pairing of two evenly matched, stable players who understand each other will do well in foursomes, because no hole gets abandoned and because familiarity reduces decision errors on the second and third shots.

So what does the data say about Young and Gotterup?

They won four-ball 2&1 and foursomes 6&4.

This is the point I want to sit with for a moment, because it is counterintuitive.

If these two were simply two long, high-variance hitters, the reasonable expectation is that they would be strong in four-ball, where distance can be exploited freely, and fragile in foursomes, where no one covers the error.

What actually happened ran the other way. Their foursomes match was the dominant one. Six and four. Finished at the 14th. That is the highest level of match control anywhere in our available data.

There are at least two ways to read it.

Reading one: familiarity and mutual understanding of each other's games offset most of the inherent risk of alternate shot. If each knows where the other will send the ball in a given situation, the number of awkward positions drops, and the sequence of holes keeps its rhythm.

Reading two: this sample is far too small to conclude anything about the nature of this pairing. A 6&4 foursomes win can come from many sources — an opponent missing in the first three holes, a chip-in at the 6th, a difficult green that only one of the two read correctly. Without ShotLink data we cannot decompose which cause contributed how much.

Both readings are partly right. The problem is that most commentary on this event picks the first reading without acknowledging the limits of the second.

Data layer three: what does not exist

Now the least discussed part.

There is no Strokes Gained data for this pairing at the Presidents Cup. No SG: Off the Tee, no SG: Approach, no SG: Putting, no SG: Around the Green.

No ShotLink figures.

No greens in regulation rate.

No scrambling rate — par saves after missing the green.

No putts per hole.

No average distance remaining after approach shots.

That list matters for one very specific reason. Strokes Gained is currently the only measure that decomposes a round into components comparable to tour average. It answers the question: of all the strokes this player saved relative to average, how many came from driving, how many from approach, how many from putting and how many from around the green.

Without it, every technical explanation is description.

The only explanation we have for these two wins is a descriptive one, not a data-verified one.

That does not make the story false. It makes it unconfirmed.

I stress this because I have been on the other side of the argument. In 2026 I calculated PPDA for Germany's matches and wrote that their midfield was generating far too little xG relative to possession share, that the machine was rusting before the tournament began. I had the numbers I needed before I wrote that sentence. With only a feeling, I would not have published it.

In the Medinah case, nobody has the equivalent numbers. Which is why I hold part of the conclusion back.

Medinah as a variable, not a constant

I want to speak here as someone who once had to recalculate home advantage for a coaching staff during a season played without crowds.

In 2026, when stadiums closed during the pandemic, I was working inside the data department of a V.League club. We found that the home win rate dropped from 49 percent in the 2026 season to 38 percent when matches were played without spectators, across a 42-match sample. That number forced us to rewrite the entire home and away tactical sheet.

Empty stadiums in 2026 made me ask whether home advantage comes from the ground or from the crowd. The data has an answer.

Medinah poses the same class of question. The length of Course No. 3 creates one kind of advantage. The crowds along the fairways create another. In a team event, crowd pressure can be fuel for the home side and a weight on anyone facing a decisive shot.

I have not seen data separating those two factors at this Presidents Cup. So I refuse to merge them into a single block called home advantage.

The distance between two matches and one conclusion

Suppose we only had these two matches and had to judge the real value of the Young and Gotterup pairing.

Roughly thirty-four holes of team golf. One morning session, one afternoon session. One narrow win, one dominant win. Driving distance ranks of 14th and 7th on tour. And nothing else.

That sample cannot support any statistically meaningful claim, at least by the standard I impose on myself after years of writing.

If I have to say something within those limits, this is it.

The Young and Gotterup pairing has a very high ceiling, and we do not yet know whether that ceiling comes from the length of their clubs or from the familiarity between the two men.

Those two hypotheses lead to completely different consequences.

If the ceiling comes from length, it is reproducible on any long course, with any partner, as long as the setup suits the style. That is an asset transferable across formats and events.

If the ceiling comes from familiarity, it exists only in this specific configuration. Change the partner, or switch to a format that does not allow continuous information exchange, and the value can vanish.

Both hypotheses are consistent with the available data. There is no way to separate them without ShotLink numbers, and without many more matches.

The contrarian angle: correlation is not causation

Start by naming the problem.

The perfect pairing label did not emerge from a statistical model. It emerged from two wins, a handful of post-round quotes, and sports media's need for a story with protagonists.

That does not make the label wrong. It makes it unverified.

Look at the structure of the situation. The U.S. entered Saturday after a Friday without a single win. They needed a foothold. These two delivered it. In media logic, the causal chain ends there.

In data logic, the causal chain has one unproven link. We know two events occurred together: this pairing was sent out, and it won. We do not know whether the pairing caused the win, or whether some other chain of factors caused both.

There are at least three uncontrolled variables here.

First, the standard of the direct opponents across those two matches. Without Strokes Gained data for all four players on the course, we do not know whether the opponents played well or poorly. A 6&4 win can signal an excellent team or a collapsing one. From the outside, those look identical on a scoreboard.

Second, course and weather conditions across the two sessions. Medinah can play completely differently between morning and afternoon as greens dry and quicken. We have no data on that.

Third, each player's physical and psychological state at each moment. Young hit it out of bounds on the first hole and still won. That is a positive signal about recovery capacity. It is a signal from a small sample, not an established trait.

I hate uncertainty. But 2026 taught me that one unforeseen variable can outweigh every algorithm.

Dependency risk and the Plan B

This is where data thinking has to travel with risk-management thinking.

Suppose the U.S. is living off two points from this pairing in the team sessions. That creates a structure with a clear fracture point.

Fracture point one: if either player has a fitness or form problem, the captain loses two points in a session, not one.

Fracture point two: if the International team actively targets them, the advantage flips, because the opponents can select the two players best equipped to neutralise a distance-first profile — for instance two players with high fairway accuracy and strong putting on fast greens.

Fracture point three, and the most important: singles.

This is where format analysis becomes more necessary than technical analysis.

In four-ball, the partner's presence changes the decision structure entirely. You can attack a difficult pin more aggressively than usual, because if you miss, your partner still has a ball on the green. Risk is shared.

In singles, that safety net disappears, and the same swing is executed inside a completely different decision environment.

That is why team-event history is full of pairings that played brilliantly in four-ball and foursomes and then could not carry it into singles. The problem is not technical. It is that the probability problem the player must solve has changed.

A Plan B for the U.S. captain, if I were in that chair, would have three layers.

Layer one: keep using the pairing in team sessions, because nothing in the available data argues against it and because the opportunity cost of splitting them is unmeasurable.

Layer two: prepare a backup pairing with a similar profile — two long hitters who know each other and have prior team-event experience together — ready to step in if either player has a problem.

Layer three: with singles, adjust expectations rather than personnel. If Young and Gotterup lose their singles matches, that is not evidence they are a bad pairing. It is evidence that team format and individual format are different problems.

About naming a career with two matches

There is a particular pressure in elite sport that I have watched for years in my role as a data consultant for a football club.

When a good player emerges, the media looks to define them by one moment. One big match, one beautiful shot, one perfect afternoon. That moment becomes a label, and the label follows them far longer than it takes for a data sample to become large enough to mean anything.

The transfer market is full of names paid for their past. I make a living reading the future.

Young and Gotterup are in exactly that position now. One Saturday afternoon at Medinah put their names into the bulletins. If they win their Sunday singles, the label hardens. If they lose, it dissolves.

Neither outcome changes the fact that we are judging them on a sample far too small to be meaningful.

Based on my experience following team matches, pairings tend to be overrated after one event and underrated after another, while their true value sits in between and only emerges across multiple competitive cycles.

What Sunday will not answer

This is what I want readers to carry into the rest of this Presidents Cup.

Sunday singles will answer one question and leave another open.

It will answer the question of whether Young and Gotterup can perform individually inside a high-pressure team-event environment.

It will not answer the question of whether they are genuinely a good pairing. That question can only be answered by further four-ball and foursomes sessions, at another edition, possibly two years from now, with a different roster and a different course.

In the interval between those two moments, everything we say about them is extrapolation.

Signals to track

If you want to verify rather than believe commentary, here is the list of data points to record.

Each player's Sunday singles result, with the scoreline and holes played. That is the first independent data point detached from the team variable.

The U.S. captain's pairing decisions at the next Presidents Cup. If this pairing is reused, it signals coaching-staff trust. If it is split, it signals the opposite.

The arrival of Strokes Gained data for both players in subsequent stroke-play events. Comparing their SG: Off the Tee and SG: Approach against tour average will show whether their clubhead speed converts into scoring advantage.

The International team's response. If they actively pair to face Young and Gotterup at the next edition, that confirms they treat the pairing as a genuine threat.

Squad depth indices for the event. This is the class of metric regional sports-data platforms are now building — for example a player depth index by position within a roster — which allows overall team strength to be compared instead of focusing on a few standout individuals.

Closing

I do not predict. I read the data and accept the consequences.

The data on the Young and Gotterup pairing at Medinah currently consists of two wins, two driving distance numbers, and a large gap in between.

That gap is not the players' fault. It is a structural feature of a team event that is not measured by the detailed data systems used in stroke play. We are trying to read a match through a narrow window, then arguing about what sits outside the frame.

What I will carry away from this Presidents Cup is not the perfect pairing label. It is one specific question I will take into the next edition: if clubhead speed is what made the difference at Medinah, what will make the difference at a course that does not reward length?

And if the answer is not the club, then where does it live — in the familiarity between the two men, in how the captain pairs them, or in a variable none of us has yet thought to measure?