Mephistopheles

anyone know? i wanted to buy a fukudome tshirt and the glove keychain, but I was looking at the product and someone says that they cubworld gave them a tracking number and said their item was shipped and it never was shipped (the fukudome shirt was the item)

Well the sample size of teams is growing. Basically I calculate an average team based off of actual results for a 5x5 12 team league's drafts. Using who is selected or not I calculate two things for each position, a replacement level player (usually found in rounds 18+ and on the waiver wire) and an average player (an average starter!, so I use top 14 at each position to include UTIL slots). Using the draft results I sum up the predicted statistics for each team. I then find the average team and the standard deviation of the teams in each statistic. From this we can take any team and find out what percentile they are in for each team. This can be converted to rotopoints. For example, a team that is predicted to score 825 teams by PECOTA is 1 stdev above the mean, so we expect them to be in the 84th percentile among all teams. So their expected roto score in runs would be 1+11*.68= 10.24. With this framework we can analyze the players. First let's look at say, Hanley Ramirez in runs. An average SS scores 90.2 runs. An average team scores 790 runs. Hanley Ramirez is predicted to score 108.0 runs. So an average team who replaces their average SS with Hanley Ramirez would score 790 - 90.2 + 108.0 = 808 runs. Now we want to convert this change in runs to change in expected rotoscore. So we find out that 808 runs would be in the 69th percentile. So that team would be projected to have a score of 1+.69*11 = 8.7 points in runs. The average team would have 1+.5*11 = 6.5 points, so the increase for Hanley in runs would be 2.2 points. We do this for every player in each category. Now, this is only over average, but we also need to include over replacement level, to get a relative distribution. To do that do the same thing above, but instead of subtracting an average teams score, find out the score of an average team that loses their average SS and replaces them with a replacement level SS. Then to combine the six rankings (2 in ZiPS, 2 in PECOTA, 2 in James) I simply found their rank in each of them and averaged them.

kauffman is a beautiful place to see a game

marquis also has good stuff, like samardzija. there are a lot of similarities between the two of them

Rk Rank Name 1. 1.8 Alex Rodriguez 2. 3.7 Hanley Ramirez 3. 4.2 Johan Santana 4. 5.2 Albert Pujols 5. 6.7 Ryan Braun 6. 8.2 David Wright 7. 8.3 Matt Holliday 8. 9.5 Victor Martinez 9. 10.2 Jake Peavy 10. 12.5 Ryan Howard 11. 12.5 Jose Reyes 12. 12.8 David Ortiz 13. 14.3 Chase Utley 14. 18.5 Miguel Cabrera 15. 18.7 Alfonso Soriano 16. 19.0 Jimmy Rollins 17. 20.8 Vladimir Guerrero 18. 23.0 John Smoltz 19. 25.8 Brandon Webb 20. 25.8 Russell Martin 21. 27.7 Prince Fielder 22. 27.8 Corey Hart 23. 31.5 Grady Sizemore 24. 32.7 Pedro Martinez 25. 36.2 Joe Mauer 26. 38.7 Cole Hamels 27. 39.2 Derek Jeter 28. 41.0 Francisco Liriano 29. 41.7 Troy Tulowitzki 30. 41.7 Mark Teixeira 31. 41.7 BJ Upton 32. 43.3 Brian McCann 33. 45.3 Carl Crawford 34. 46.8 Josh Beckett 35. 47.0 Carlos Lee 36. 47.8 Derrek Lee 37. 48.7 Chipper Jones 38. 49.0 Roy Halladay 39. 49.3 Matt Kemp 40. 49.7 Chris Young 41. 49.7 Ian Kinsler 42. 50.5 Roy Oswalt 43. 50.8 Magglio Ordonez 44. 51.0 Carlos Beltran 45. 52.7 Chris Young 46. 54.2 CC Sabathia 47. 58.3 Manny Ramirez 48. 60.5 Rich Harden 49. 60.8 Robinson Cano 50. 61.0 Joe Nathan 51. 61.2 Brian Roberts 52. 61.7 Erik Bedard 53. 63.0 Jorge Posada 54. 64.2 Daisuke Matsuzaka 55. 64.8 Gary Sheffield 56. 65.7 Rickie Weeks 57. 66.0 Kelly Johnson 58. 69.0 Rich Hill 59. 69.8 Aaron Harang 60. 70.3 Bobby Abreu 61. 71.5 Jonathan Papelbon 62. 71.5 Lance Berkman 63. 73.0 Tim Lincecum 64. 74.7 Travis Hafner 65. 74.8 Hideki Matsui 66. 75.8 Adam Dunn 67. 76.0 Yovani Gallardo 68. 76.0 Curtis Granderson 69. 76.2 Billy Wagner 70. 76.7 Dan Haren 71. 77.3 Javier Vazquez 72. 77.5 Todd Helton 73. 77.7 Carlos Zambrano 74. 78.2 Carlos Guillen 75. 79.0 Mike Napoli 76. 80.8 JJ Putz 77. 81.8 Matt Cain 78. 83.7 Justin Verlander 79. 85.0 Nick Markakis 80. 85.2 Mariano Rivera 81. 86.2 Brandon Phillips 82. 87.0 Willy Taveras 83. 87.2 Francisco Rodriguez 84. 88.3 AJ Burnett 85. 88.3 Howie Kendrick 86. 89.0 John Lackey 87. 90.2 Shane Victorino 88. 91.5 Torii Hunter 89. 92.2 Jim Thome 90. 93.0 Chone Figgins 91. 93.8 Johnny Damon 92. 94.5 Alex Rios 93. 95.7 Garrett Atkins 94. 96.3 Scott Kazmir 95. 96.5 Dan Uggla 96. 97.0 Eric Byrnes 97. 99.8 Takashi Saito 98. 100.5 Geovany Soto 99. 101.7 Rafael Furcal 100. 104.3 Brad Hawpe 101. 105.0 Miguel Tejada 102. 107.2 Huston Street 103. 109.0 Nick Swisher 104. 110.0 Ichiro Suzuki 105. 111.8 Placido Polanco 106. 114.3 Ben Sheets 107. 114.3 Hunter Pence 108. 115.2 Randy Johnson 109. 115.3 Michael Young 110. 116.3 Aramis Ramirez 111. 117.2 Jeff Kent 112. 117.3 Jered Weaver 113. 118.0 Rocco Baldelli 114. 119.8 Rafael Soriano 115. 120.0 Jhonny Peralta 116. 120.2 JR Towles 117. 120.8 Francisco Cordero 118. 124.7 Felix Hernandez 119. 126.0 Justin Morneau 120. 126.8 Ryan Zimmerman 121. 128.2 Jason Bay 122. 130.2 Joakim Soria 123. 131.2 Carlos Pena 124. 131.5 Brett Myers 125. 132.5 Andruw Jones 126. 133.0 Adrian Gonzalez 127. 135.7 Jose Valverde 128. 135.7 Curt Schilling 129. 136.0 Kosuke Fukudome 130. 138.0 Tim Hudson 131. 138.3 Matt Capps 132. 139.0 Barry Zito 133. 140.3 Yunel Escobar 134. 141.3 Bobby Jenks 135. 141.3 Fausto Carmona 136. 142.2 Eric Gagne 137. 145.0 Mark Reynolds 138. 145.5 JJ Hardy 139. 146.0 Lastings Milledge 140. 147.5 Kenji Johjima 141. 149.5 Trevor Hoffman 142. 149.5 Philip Hughes 143. 149.5 Jermaine Dye 144. 149.7 Derek Lowe 145. 152.8 Greg Maddux 146. 153.7 John Maine 147. 154.3 Brad Lidge 148. 155.3 Ted Lilly 149. 157.7 Kevin Slowey 150. 157.8 Kevin Youkilis 151. 158.3 Edwin Encarnacion 152. 159.2 Alexei Ramirez 153. 160.0 James Shields 154. 160.5 Paul Konerko 155. 162.8 Chad Billingsley 156. 163.3 Kelvim Escobar 157. 163.7 Jeremy Bonderman 158. 165.2 Carlos Ruiz 159. 168.0 Pat Burrell 160. 168.7 BJ Ryan 161. 169.7 Paul Lo Duca 162. 170.7 Ivan Rodriguez 163. 171.8 Chad Cordero 164. 172.3 Conor Jackson 165. 174.2 Hiroki Kuroda 166. 174.7 Manny Corpas 167. 178.8 Jonathan Broxton 168. 182.5 Jeff Francoeur 169. 183.3 Andy Pettitte 170. 183.7 Josh Hamilton 171. 184.2 Brad Penny 172. 184.2 Freddy Sanchez 173. 184.7 Rafael Betancourt 174. 184.7 Tadahito Iguchi 175. 189.2 Orlando Cabrera 176. 192.7 Chuck James 177. 193.7 Dustin Mcgowan 178. 194.2 Joe Blanton 179. 194.5 Carlos Delgado 180. 195.2 Luis Castillo 181. 196.3 Juan Pierre 182. 197.0 Jason Schmidt 183. 197.5 Bronson Arroyo 184. 197.7 Jeremy Accardo 185. 198.3 Bob Howry 186. 200.3 Adrian Beltre 187. 201.5 Jason Varitek 188. 202.2 Orlando Hudson 189. 205.0 Oliver Perez 190. 206.0 Orlando Hernandez 191. 206.8 Mike Mussina 192. 207.3 Adam Laroche 193. 207.8 Troy Percival 194. 210.0 Joba Chamberlain 195. 210.2 Ian Snell 196. 211.2 Troy Glaus 197. 212.2 Tom Gorzelanny 198. 212.8 Edgar Renteria 199. 213.3 Adam Wainwright 200. 213.5 Aaron Rowand 201. 213.8 Mark Prior 202. 214.8 Kevin Kouzmanoff 203. 216.7 Mike Cameron 204. 216.7 Billy Butler 205. 217.3 Luke Scott 206. 218.7 Heath Bell 207. 218.8 Bengie Molina 208. 219.2 Aaron Heilman 209. 219.2 Dave Bush 210. 219.3 Frank Thomas 211. 219.8 Jason Isringhausen 212. 220.3 Vernon Wells 213. 220.8 Carlos Villanueva 214. 220.8 Marlon Byrd 215. 221.3 Jose Guillen 216. 221.5 Ramon Hernandez 217. 223.5 Ryan Doumit 218. 224.3 Mark Teahen 219. 224.5 AJ Pierzynski 220. 225.0 Joe Borowski 221. 225.8 Stephen Drew 222. 227.0 Felix Pie 223. 227.7 Jeremy Hermida 224. 227.8 Ronny Paulino 225. 228.3 Josh Bard 226. 229.2 Delmon Young 227. 229.3 Scot Shields 228. 230.5 Mark Ellis 229. 231.0 Kevin Gregg 230. 231.3 Scott Baker 231. 231.7 Geoff Jenkins 232. 232.0 Garret Anderson 233. 233.0 Josh Willingham 234. 235.2 Chien Ming Wang 235. 236.2 Dustin Pedroia 236. 236.5 Brian Wilson 237. 236.7 Travis Buck 238. 237.3 George Sherrill 239. 237.8 Ken Griffey 240. 238.7 Khalil Greene 241. 239.2 Mike Jacobs 242. 241.5 Chris Duncan 243. 242.5 James Loney 244. 243.3 Shawn Hill 245. 245.5 Bill Hall 246. 247.0 Hank Blalock 247. 247.5 Dave Roberts 248. 248.0 Matt Diaz 249. 248.5 Anthony Reyes 250. 249.7 Alex Gordon 251. 252.0 Brian Fuentes 252. 252.3 Milton Bradley 253. 253.2 Matt Garza 254. 254.5 Zack Greinke 255. 254.5 Julio Lugo 256. 254.8 David DeJesus 257. 255.8 Kevin Millwood 258. 255.8 Brendan Harris 259. 256.3 JD Drew 260. 256.5 David Dellucci 261. 257.7 Eric Chavez 262. 257.8 Ryan Garko 263. 259.0 Yorvit Torrealba 264. 259.7 Hideki Okajima 265. 259.7 Dontrelle Willis 266. 261.8 Michael Bourn 267. 262.8 Chris Snyder 268. 263.5 Randy Winn 269. 263.8 Shaun Marcum 270. 264.2 David Ross 271. 264.8 Chris Carpenter 272. 265.5 Kevin Correia 273. 265.5 Todd Jones 274. 266.7 Justin Duchscherer 275. 268.7 Jeff Francis 276. 269.5 Aaron Hill 277. 272.3 Wily Mo Pena 278. 273.7 Kerry Wood 279. 273.7 Cliff Floyd 280. 274.7 Kurt Suzuki 281. 275.8 Asdrubal Cabrera 282. 276.0 Jon Garland 283. 278.2 CJ Wilson 284. 278.3 Tim Wakefield 285. 278.3 Michael Cuddyer 286. 279.2 Ian Kennedy 287. 279.8 Mike Lowell 288. 281.2 Mark Grudzielanek 289. 284.5 Kazuo Matsui 290. 284.8 Rick Ankiel 291. 285.0 Nate Robertson 292. 287.2 Chris Denorfia 293. 287.7 Ryan Church 294. 288.2 Andy Sonnanstine 295. 288.3 Brandon Lyon 296. 290.5 Carlos Marmol 297. 290.8 Chad Gaudin 298. 292.0 Melky Cabrera 299. 292.2 Moises Alou 300. 292.7 Carlos Gomez 301. 295.3 John Buck 302. 296.0 Jason Hirsh 303. 296.0 Gregg Zaun 304. 298.3 Randy Wolf 305. 298.5 Tony Pena 306. 301.7 Jason Bergmann 307. 302.8 Adam Jones 308. 303.7 Raul Ibanez 309. 303.8 Ervin Santana 310. 304.8 Gil Meche 311. 304.8 Mark Buehrle 312. 306.2 David Eckstein 313. 306.7 Jamie Moyer 314. 307.3 Jake Westbrook 315. 310.3 Scott Rolen 316. 311.5 Kenny Rogers 317. 311.8 Jim Edmonds 318. 312.5 Clay Buchholz 319. 313.3 John Patterson 320. 314.2 Evan Longoria 321. 314.7 Gary Matthews 322. 315.2 Micah Owings 323. 316.3 Jesse Litsch 324. 316.5 Yuniesky Betancourt 325. 316.7 Ronny Cedeno 326. 317.2 Casey Kotchman 327. 319.5 Matt Clement 328. 320.7 Ryan Theriot 329. 321.3 Jayson Nix 330. 323.8 Boof Bonser 331. 324.5 Daniel Cabrera 332. 327.2 Brandon McCarthy 333. 327.7 Jarrod Saltalamacchia 334. 328.3 Brian Giles 335. 329.2 Jay Payton 336. 329.2 Ryan Freel 337. 330.0 Wandy Rodriguez 338. 331.5 Dioner Navarro 339. 331.7 Aubrey Huff 340. 333.3 Jarrod Washburn 341. 338.5 Jose Contreras 342. 338.7 Xavier Nady 343. 339.5 Andrew Miller 344. 340.0 Brian Bannister 345. 340.7 Jason Bartlett 346. 341.2 Noah Lowry 347. 343.8 Joe Saunders 348. 344.0 Braden Looper 349. 344.0 Carlos Quentin 350. 345.5 Matt Belisle 351. 345.5 Yadier Molina 352. 345.8 Ross Gload 353. 346.0 Ricky Nolasco 354. 350.2 Jose Vidro 355. 350.3 Ray Durham 356. 350.5 Nate Mclouth 357. 350.8 Tom Glavine 358. 351.8 Melvin Mora 359. 353.7 Jason Kendall 360. 355.2 Jacoby Ellsbury 361. 355.3 Edinson Volquez 362. 356.0 Austin Kearns 363. 356.7 Jack Cust 364. 357.8 Doug Davis 365. 359.0 Matt Morris 366. 359.8 Scott Olsen 367. 360.8 Aaron Laffey 368. 362.2 Mike Rabelo 369. 362.2 Mark DeRosa 370. 362.5 Ben Broussard 371. 363.7 Esteban Loaiza 372. 363.7 Ty Wigginton 373. 365.0 Mike Pelfrey 374. 366.5 Jon Lieber 375. 367.8 Lyle Overbay 376. 368.3 Mark Hendrickson 377. 368.5 Scott Hairston 378. 370.8 Akinori Iwamura 379. 372.3 Jason Giambi 380. 372.3 Franklin Gutierrez 381. 373.2 Sergio Mitre 382. 373.8 Coco Crisp 383. 374.7 Adam Loewen 384. 375.2 Jose Bautista 385. 376.8 Jeff Suppan 386. 378.0 Carlos Silva 387. 379.0 Paul Maholm 388. 379.7 Woody Williams 389. 380.5 Jeremy Guthrie 390. 380.5 Josh Fields 391. 380.7 Justin Upton 392. 380.8 Jason Jennings 393. 382.0 Vicente Padilla 394. 382.8 Cliff Lee 395. 382.8 Joel Pineiro 396. 383.0 Miguel Batista 397. 383.2 Paul Byrd 398. 384.5 Richie Sexson 399. 384.8 Rick Vanden_Hurk 400. 387.0 Aaron Cook 401. 388.2 Jon Lester 402. 388.2 Mike Lamb 403. 389.3 Sean Marshall 404. 389.3 Chris Sampson 405. 389.3 Frank Catalanotto 406. 391.2 Jeremy Affeldt 407. 391.8 Zach Duke 408. 392.5 Daric Barton 409. 392.7 Jack Wilson 410. 393.5 Pedro Feliz 411. 393.7 Brian Schneider 412. 394.2 Jason Marquis 413. 398.8 Jason Kubel 414. 401.0 Mike Hampton 415. 401.2 Joey Votto 416. 403.5 Kevin Millar 417. 404.3 Cameron Maybin 418. 406.8 Jacque Jones 419. 407.0 Brad Wilkerson 420. 407.2 Ronnie Belliard 421. 407.8 Jose Lopez 422. 409.2 Danys Baez 423. 409.8 Rich Aurilia 424. 413.0 Nomar Garciaparra 425. 414.5 Dan Ortmeier 426. 415.0 Kyle Kendrick 427. 417.3 Homer Bailey 428. 417.8 Jay Bruce 429. 418.0 Brandon Backe 430. 418.8 Kason Gabbard 431. 418.8 Casey Blake 432. 421.2 Colby Rasmus 433. 421.5 Gio Gonzalez 434. 422.0 Tony Pena 435. 424.5 Adam Eaton 436. 424.7 Adam Kennedy 437. 426.2 Nick Johnson 438. 428.8 Reed Johnson 439. 429.3 John Danks 440. 429.7 Ubaldo Jimenez 441. 429.8 Erick Aybar 442. 431.7 Alex Gonzalez 443. 432.0 Elijah Dukes 444. 432.2 Ramon Castro 445. 433.0 Omar Vizquel 446. 436.3 Lenny DiNardo 447. 436.5 Emil Brown 448. 437.8 Jesus Flores 449. 439.0 Dmitri Young 450. 440.0 Javier Valentin 451. 441.8 Mark Kotsay 452. 442.0 Ryan Ludwick 453. 442.5 Brayan Pena 454. 442.8 Garrett Olson 455. 443.7 Bobby Crosby 456. 446.2 Jo-Jo Reyes 457. 447.2 JD Durbin 458. 448.2 Joe Crede 459. 449.2 Jeff Keppinger 460. 449.2 Dallas McPherson 461. 449.5 Franklin Morales 462. 449.7 Felipe Lopez 463. 451.5 Cody Ross 464. 453.5 Eric Munson 465. 454.5 Chris Coste 466. 456.5 Nyjer Morgan 467. 459.8 Edwin Jackson 468. 460.7 Gavin Floyd 469. 460.8 Cristian Guzman 470. 463.2 Adam Everett 471. 465.5 Henry Blanco 472. 467.2 Endy Chavez 473. 467.5 Livan Hernandez 474. 469.3 Matt Treanor 475. 470.3 Jason Larue 476. 471.8 Scott Hatteberg 477. 472.5 Kyle Davies 478. 473.0 Luke Hochevar 479. 474.5 Jorge De La Rosa 480. 476.0 Omar Infante 481. 476.8 Reggie Abercrombie 482. 476.8 Cesar Izturis 483. 477.7 Brad Ausmus 484. 481.7 Eric Bruntlett 485. 485.5 Chris Gomez 486. 486.0 Alejandro De Aza 487. 486.5 Troy Patton 488. 487.0 Brandon Jones 489. 487.3 Mark Loretta 490. 487.7 Ruben Gotay 491. 488.2 Brendan Ryan 492. 490.3 Daryle Ward 493. 490.7 Reggie Abercrombie 494. 491.3 Jorge Cantu 495. 492.5 Scott Thorman 496. 492.8 Luis Hernandez 497. 494.3 Matt Murton 498. 495.3 Gabe Gross 499. 495.3 Aaron Miles 500. 497.3 Craig Counsell 501. 498.0 Wes Helms 502. 500.3 Scott Spiezio 503. 501.8 Aaron Boone 504. 502.0 Josh Anderson 505. 503.0 Tony Gwynn 506. 503.3 So Taguchi 507. 504.8 Alfredo Amezaga 508. 505.0 Geoff Blum 509. 506.3 Darin Erstad

jason marquis

Am I the only one who noticed that Chone hit better than Aramis last year....

Jeff Samardzija will have four option years. He won't have to make the team until 2011. Then again we have four years until Marquis 2.0!

That's the best news so far this season. Guzman could end up coming in very handy if he can make it back for the tail end of the season. Maybe he'll even get his first MLB win. That brings me to a great thought. Anyone with access to a vast majority of stats, can anyone figure out what is the record for most appearances without a win in MLB history? Guzman has 27 career appearances 80 Juan Alvarez 80 Ed Olwine 63 Chris Britton 61 Erik Plantenberg 55 Frank Fanovich 55 Terry Felton 51 Rob Mallicoat 50 Jeff Kaiser

Let's see. Let's call last year his first full season as a baseball player. Well sorta kinda maybe...he did not have an offseason of baseball related workouts. Let's face facts, Samardzija is already 23 years old and has struck out all of 82 guys in 171 innings as a professional. You don't need any fancy mathematics to tell you that's not very good. Still, given his raw pedigree, it's not surprising he didn't light up the hitters. Minor league hitters can hit a fastball...each and every one of them. This year however, if Samardzija is truly going to be a real prospect we have to see tremendous strides across the board. He has to strike out 7 K/9 at a minimum and keep his GB rate over fifty percent. If he does not reach those goals, then he shouldn't be viewed as a solid prospect. If he shows some improvement, say K/9 around 5 flat, he's still nothing but your common prospect.

For comparison of Albert Pujols to Frank Thomas. In his first 7 seasons Albert Pujols has topped the .360 EqA mark once (.362 in 03). In Frank Thomas' first 8 seasons he dropped below the .360 EqA mark once (.355 in 93). In other words, the best Albert Pujols has been was the worst Frank Thomas was. Wrap your head around that one.

Top five hitters this century, IMO. Manny and ARod are nearly identical, ARod gets the nod thanks to health. David Ortiz basically on the strength of his last few years. 1. Barry Bonds 2. Albert Pujols 3. Alex Rodriguez 4. Manny Ramirez 5. David Ortiz Manny's never really been number one. In the 1990s he was always second fiddle to Frank Thomas.

why would you want to do a cubic spine interpolation. Once you start interpolating data (in ANY fashion) you're going to wind up losing control of certain behavioral aspects of the function. Ie... in this case you'll lose a positive slope. If you increase your offensive out put you'll increase your runs output, it's only logical. interpolating it may not result in that. interpolating data isn't effective in something like this There are more digits, I just don't have them memorized off the top of my head. Besides, does a difference is .05 of a run make much of a difference? If you hit 50 HRs we're underestimating your run production by 2.5 runs. Who cares? There's no reason to go any further than two decimal places on a team basis much less an individual basis. As noble as it may sound, that's not really true. The only difference in approach is a sacrifice bunt. This is done, WPA (win probability added). The problem is that the year to year correlation of these variables is virtually non-existent...so we should use runs (which can then also be converted into wins if we feel like it). All production should be measured in runs.

at least they're not saying that it has happened like some people.

Good call.

...shocking!

yes they should be included dammit

I did define the constant: C =(LgR/LgOut)/.260^2.5

First: You can tinker with them, and other things have been developed, linear weights. Then again, EqR can be broken down into linear weights if you want to. Linear weights basically represent that each event has a specific run value. Off the top of my head it's something like this: R = .5*1B + .8*2B + 3B + 1.4*HR +.33*BB -.25 OUT. Multiplying these three by 4 results in: 4RC = 1.3 BB + 2 1B + 3.2 2B + 4 3B + 5.6 HR - Out....which is very very close to Raw without the outs. Second: Basically something like OBP + SLG. If you ignore the denominator and add just the top half of the fractions of OPS you get BB + HBP + 2*1B + 3*2B + 4*3B + 5*HR. OPS is actually fit better by 1.6*OBP+SLG, but they just put all of the 1.6ish term into BB and HBP. They then added more bases to the top. So it's not all that different than the weights for OPS. Clay Davenport came up with them by himself, I believe.

Screw you Clemens and everyone else.

we can all go back to actually visiting Cubs.com. And what does that mean? It means we get to read Carrie Muskat! Who else is stokked about that? I am.

well coming up with acceptable park factors is another subject entirely. keep in mind that all of the analysis of statistics to runs dont include park factors (theyre using raw stats mapping to runs)

you can probably count the number of people who do on one hand.

dear vance read this and fix my grammatical errors signed meph

was it fulfilled?!@?@#?