Prison Bitch |
01-13-2016 04:10 PM |
Quote:
Originally Posted by duncan_idaho
(Post 12023949)
Projection systems continue to expect some things the Royals to excel at to normalize:
1) RP performance.
2) Defensive excellence
3) HR/FB rate
Despite the fact the royals have been excellent at 1) and 2) for a very large sample size (five seasons now), severe drop-off continues to be projected.
Despite the fact the Royals play at minimum 100 games/year at Ballparks that suppress the HR (Kaufman, Detroit, Minnesota, HR/FB regression continues to be projected.
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It's important to distinguish what it is you're talking about here. You are explaining why last winter's FORWARD projections did not align with reality. And I would say to you that those things are good reasons, although there are prob many more. That is conceded by SABR folks, who readily admit FW projections have 5-10 game standard deviations, with 10+ swings not uncommon. (Put aptly: "shit happens" with injuries, etc)
Nobody should be surprised by the final standings.
Quote:
At some point, you have to admit your model isn't working.
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But this is where we diverge. I (and others) want to know why the BACKWARDS looking metrics, notably PyThag + BaseRuns, don't align either. Because we **know** what happened and we have decades of data points showing what the record should've been. Your factors are all incorporated into the backwards data. So why did we win 95?
All we have today is that we sequenced out of our minds and had the highest "clutch" score in MLB. There's no explanation for that.
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