Each card shows a player's strokes gained above or below their moment-in-time baseline at the courses that correlate with this week's venue. The spider chart plots per-course values across up to 15 analogues for each skill — points further from center mean stronger historical performance. Use the Skill filters above to isolate a single category: this displays a ranked-course table alongside the chart, so you can see exactly which venues are driving a player's fit score.
✨ ML score: A separate model trained on a broader set of features. It runs independently from SG Total and will often produce a different result. This is by design: the underlying model is fully deterministic and does not share the methodology of how SG Total is derived.
The score answers one question: does this player perform better or worse than their own baseline at courses like this one? Recent history counts more than old history, thin samples are penalized, and skills are weighted by their expected contribution to total performance. The result is a single number — strokes above or below baseline — that tells you who will outperform their baseline this week.