Course Profiles / TPC Louisiana
Course Profile · No validated fit signal

TPC Louisiana:
what wins here.

Zurich Classic of New Orleans · 3 editions, 2023–2026 · 1,360 rounds analyzed

Weights — not validated
OTT 25%
APP 25%
ARG 25%
PUTT 25%
Every category weighted equally. This course has not accumulated enough history for its weights to be tested, so we do not score course fit here.

How it plays

We measure how a course plays by comparing the same players here against everywhere else they tee it up. TPC Louisiana has not accumulated enough rounds in our archive for that comparison to mean anything yet, so there is nothing here rather than a number we do not stand behind.

Who has played above themselves here

Strokes gained per round at this course against the same player’s own average everywhere else. Being a good player is not enough to appear on this list — the comparison is with himself, so what is left is the part that belongs to the course.

PlayerRounds hereHereElsewhereGap
Davis Riley 12 +0.98 -0.27 +0.42
Tom Hoge 12 +1.16 +0.17 +0.33
Chad Ramey 12 +0.98 +0.00 +0.33
David Lipsky 12 +0.46 -0.04 +0.17
Nick Hardy 12 +0.53 +0.05 +0.16
Aaron Rai 12 +1.01 +0.56 +0.15
The gap is pulled toward zero by how few rounds sit behind it, so a player seen four times here does not outrank one seen twenty. Read it as a record, not a projection: players who keep coming back to a course are partly the ones it has already suited, and that selection is inside these numbers.

What the data says

We do not publish a course-fit read for TPC Louisiana. Venue weights are kept only where they predicted results on seasons the model had never seen, and this course has not yet accumulated enough history to clear that bar — 3 editions in the archive.

That is deliberate. It would be easy to generate confident-looking numbers from 1,360 rounds of scoring data; they would just not mean anything. Until the signal is testable, every category is weighted equally here and course fit is not scored. The winners below are still worth reading as history — they are simply not a forecast.

Method. Weights come from regressing top-20 finishes on players' strokes gained in each category, using only rounds played before each event, and comparing each course against the tour-wide baseline — so a weight measures what this course rewards more than golf generally does, not simply which skills help. Weights are kept only where they predicted results out of sample; where they did not, we say so. We tested our previous method, found it did not predict, and published that too: how the model works.

The field, ranked before they play.

Every tournament week we score the field on course fit and player quality. Lab Notes lands every Tuesday with what the numbers say, free.

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