Rk | Name | Pos | Act | Pec | My | E P | E My | 1. | Rodriguez | 3b | .340 | .319 | .310 | .021 | .030 | 2. | Ramirez | ss | .315 | .277 | .302 | .038 | .013 | 3. | Renteria | ss | .297 | .262 | .259 | .035 | .038 | 4. | Rollins | ss | .290 | .274 | .272 | .016 | .018 | 5. | Jeter | ss | .285 | .305 | .277 | .020 | .008 | 6. | Guillen | ss | .283 | .306 | .291 | .023 | .008 | 7. | Reyes | ss | .278 | .276 | .266 | .002 | .012 | 8. | Tejada | ss | .271 | .296 | .289 | .025 | .018 | 9. | Young | ss | .270 | .286 | .275 | .016 | .005 | 10. | Wilson | ss | .269 | .247 | .246 | .022 | .023 | 11. | Eckstein | ss | .266 | .247 | .257 | .019 | .009 | 12. | Greene | ss | .263 | .272 | .266 | .009 | .003 | 13. | Hardy | ss | .261 | .254 | .241 | .007 | .020 | 14. | Sea Bass | ss | .260 | .247 | .233 | .013 | .027 | 15. | Cabrera | ss | .260 | .260 | .253 | .000 | .007 | 16. | Peralta | ss | .259 | .281 | .265 | .022 | .006 | 17. | Loretta | ss | .254 | .252 | .250 | .002 | .004 | 18. | Bartlett | ss | .253 | .269 | .252 | .016 | .001 | 19. | Betancourt | ss | .248 | .251 | .244 | .003 | .004 | 20. | Scutaro | ss | .246 | .253 | .246 | .007 | .000 | 21. | Furcal | ss | .244 | .268 | .278 | .024 | .034 | 22. | Lopez | ss | .239 | .272 | .268 | .033 | .029 | 23. | Drew | ss | .236 | .276 | .289 | .040 | .053 | 24. | Durham | 2b | .227 | .295 | .269 | .068 | .042 | 25. | Lugo | ss | .225 | .269 | .261 | .044 | .036 | 26. | Uribe | ss | .222 | .263 | .228 | .041 | .006 | 27. | Vizquel | ss | .221 | .264 | .242 | .043 | .021 | 28. | Crosby | ss | .219 | .265 | .247 | .046 | .028 | 29. | McDonald | ss | .211 | .215 | .215 | .004 | .004 | 30. | Izturis | ss | .210 | .234 | .221 | .024 | .011 | | Average | ss | .257 | .269 | .260 | .023 | .017 |
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As I sit here working on a simple projection system to evaluate translations from Japan to the United States, I beta ran one of the simple methods I came up with. The method is based on Marcel and I was only trying to project Equivalent Average. I looked at most middle infielders from the 1990s and developed a simplistic general age curve for all of them. Fitted that using a similar weighted season process that Marcel uses. I then looked at the set of 2007 SSs with a large amount of PAs and compared the projections versus the actual results for PECOTA and the simplistic method I came up with. Surprisingly the method I devised was more accurate. Weird. In case you're interested, the results are to the right.
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