Last week the model was strong against the spread going 67.3% and had a good week straight-up at 66.1%. Again, TOTALS remains a coinflip, but I’ve used it regularly when other factors like when starters are due for a better game, or when playoff-bound teams adjust rotations to change their seeding – when such factors coincide with the statistical projection. At least, it’s been working for me; but, of course, you need to be an obsessive basketball watcher as I am -LOL.
The next couple weeks will likely see more starters sitting out games for things like a migraine, or having a bad hair day. When and if this happens, and I can’t keep up, I’ll shut this down until the playoffs. Also, please note that the standings below are not strictly accurate at this time – the Bucks, in fact, are currently the 4th seed, over the Pacers. But the model, in the regular season, doesn’t factor in standard tie-breaking rules for teams with identical season records. And, some home/away records are also screwed up, due to the mid-season tournament. Flaws to be corrected - someday. GLTA
The next couple weeks will likely see more starters sitting out games for things like a migraine, or having a bad hair day. When and if this happens, and I can’t keep up, I’ll shut this down until the playoffs. Also, please note that the standings below are not strictly accurate at this time – the Bucks, in fact, are currently the 4th seed, over the Pacers. But the model, in the regular season, doesn’t factor in standard tie-breaking rules for teams with identical season records. And, some home/away records are also screwed up, due to the mid-season tournament. Flaws to be corrected - someday. GLTA
