Here...this is a breakdown of Rose's shots this year and last year (from hoopdata.com). The numbers in parenthses are his rank amongst qualified PGs (the qualifications were 25+ minutes per game, 30+ games play). LAST YEAR: At Rim: 55.1% (23rd/37) - 439 Attempts (4th/37) 3-9 Feet: 57.5% (2nd/37) - 167 Attempts (1st/37) 10-15 Feet: 50.0% (7th/37) - 164 Attempts (2nd/37) 16-23 Feet: 44.0% (5th/37) - 540 Attempts (1st/37) The 2nd place person had 365 attempts (Curry) 3 pointers: 40.1% (EFG) (30th/37) - 60 Attempts (34th/37) THIS YEAR: At Rim: 58.6% (23rd/34) - 394 Attempts (2nd/34) 3-9 feet: 40.4% (13th/34) - 166 Attempts (1st/34) 10-15 feet: 41.9% (11th/34) - 117 Attempts (3rd/34) 16-23 feet: 39.0% (16th/34) - 331 Attempts (1st/34) 3 pointers: 50.4% (EFG) 23rd/34 - 304 Attempts (2nd/34) So as you can see, his biggest drop off in terms of percentage comes from 3-9 feet out, as he's went from a 57.5% shooter to a 40.5% shooter. But this is only a small effect, as his 3-9 foot shots were only ~13% of his total shots. Other noticable changes are his % from 10-15 feet dropped 9%, but again this is his least chosen shot attempt. He has shot over 200 less attempts from 16-23, which he killed last year, and has pretty much given those attempts from behind the 3 point line, where he has shot around 33%, down from 44% from midrange. So has the decision to take less shots from 16-23 and instead take a majority behind the 3 point line been effective for him? Here is what I came up with: 10-11 - 635 shots to score 559 points (.880 points per shot) 09-10 - 600 shots to score 523 points (.872 points per shot) So Rose has gotten more points this year, but in more shots (and less games). But the efficiency is nearly identical). If you break down his PPS for the various shots, you'd see he is more efficient at the rim this year (1.17 PPS vs. 1.10 PPS last year), extremely less efficient from 3-9 feet (0.81 PPS vs. 1.15 PPS last year), and slightly less efficient from 10-15 feet (0.84 PPS vs. 1.00 PPS last year). I'm not sure what sort of groundbreaking conclusions one can draw from this data, but its interesting to look at nonetheless.