Course Profiles / Barracuda Championship
Course Profile · Updated 2026-08-16

Tahoe Mountain Club (Old Greenwood):
what wins here.

Barracuda Championship · Derived from round-level strokes gained, 2022–2023–2024–2025 · ~67 players per field

Course-fit weights
OTT 23% / 20%
APP 22% / 17%
ARG 29% / 35%
PUTT 26% / 28%
Model — the weights Divot Lab uses for this venue (data blended with course judgment, recalibrated August 2026). Pure data — derived from the historical rounds alone (top-10 vs. field strokes-gained gap per category).

What the data says

Across 4 recent editions (2022, 2023, 2024, 2025), the players who finished top-10 at Tahoe Mountain Club (Old Greenwood) separated from the field most through around the green (35% of the total separation), with putting second at 28%. Approach play mattered least — 17% — which is worth knowing when the broadcast narrative says otherwise.

The winners tell their own version: in 3 of the last 4 editions, the champion's best category for the week was off the tee. That differs from what separates the whole top-10 (around the green) — winning weeks are outlier weeks, usually powered by a hot week in one skill on top of the baseline the course demands.

Course notes: Modified Stableford — birdies and eagles, attacking play.

How the winners won

Strokes gained per round for each recent champion, by category. The green number is that winner's best skill for the week.

YearWinnerTo ParOTTAPPARGPUTTTotal
2025Ryan Gerard-18+0.00+0.00+0.00+0.00+3.74
2024Nick Dunlap-22+1.34+0.12+0.78+1.36+3.60
2023Akshay Bhatia-15+0.00+0.00+0.00+0.00+2.65
2022Chez Reavie-19+0.00+0.00+0.00+0.00+4.64
Method. Weights are derived from DataGolf round-level strokes gained: for each season, the gap between the top-10 finishers' per-category average and the field's, recency-weighted across 4 editions with a 10% floor per category, then normalized. Winner rows show per-round strokes gained for the week. The model blends these derived weights with course judgment — both numbers are shown above, and every change to the model is logged publicly in the changelog. Full methodology: how the model works.

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