Decoding True Strokes Gained: Field Strength/Cuts/Category Drift

@will_courchene @matt_courchene apologies for what seems like a simple question, but how am I able to replicate the true SG transformation being performed, or access the data directly from an endpoint? Looking at Sepp Straka at the WM, my understanding is that a +.19 avg SG vs baseline would yield a total of +.19 SG across putting, arg, app, ott for the event. Totalling up the averages, its about a gap of +.34, and primarily coming from OTT and APP. Are true SG being re-determined post-cut with vs the r3/r4 remaining field (ie Sepp Straka made the cut and gained strokes vs an even stronger remaining field), and then the distribution of SG mainly coming from the two categories means the field’s strength was OTT + APP?

I find your True SG data valuable and am trying to find the best way to tap into it!