Spanning Multiple Seasons or entire Careers, From 1950 to 2008, (requiring IP≥3500), sorted by smallest SOp9
generated by a site user
Query generated using the Baseball Stathead : /pi/psl_finder.cgi. Try the Stathead for free and make your own queries.
Cnt Player **SO/9** IP From To Ages G GS CG SHO GF W L W-L% SV H R ER BB SO ERA ERA HR BF IBB HBP BK WP Teams ----+-----------------+---------+------+----+----+-----+----+---+---+---+---+---+---+-----+---+----+----+----+----+----+------+----+---+-----+---+---+---+---+----------- 1 Tommy John 4.29 4710.1 1963 1989 20-46 760 700 162 46 22 288 231 .555 4 4783 2017 1749 1259 2245 3.34 110 302 19692 102 98 16 187 CLE-CHW-LAD-NYY-TOT-CAL 2 Bob Friend 4.32 3611 1951 1966 20-35 602 497 163 36 56 197 230 .461 11 3772 1652 1438 894 1734 3.58 107 286 15214 115 46 13 50 PIT-TOT 3 Joe Niekro 4.39 3584 1967 1988 22-43 702 500 107 29 93 221 204 .520 16 3466 1620 1431 1262 1747 3.59 97 276 15166 71 65 8 172 CHC-TOT-DET-ATL-HOU-NYY-MIN 4 Warren Spahn 4.49 4253.1 1950 1965 29-44 608 539 310 49 56 298 204 .594 24 3933 1628 1463 1140 2121 3.10 117 367 17458 60 36 5 64 BSN-MLN-TOT 5 Robin Roberts 4.54 4315.1 1950 1966 23-39 613 558 285 42 40 264 221 .544 21 4205 1798 1629 766 2178 3.40 113 480 17637 69 45 3 31 PHI-BAL-TOT 6 Jerry Reuss 4.68 3669.2 1969 1990 20-41 628 547 127 39 41 220 191 .535 11 3734 1700 1483 1127 1907 3.64 100 245 15582 118 59 23 107 STL-HOU-PIT-LAD-TOT-CHW-PIT 7 Dennis Martinez 4.84 3999.2 1976 1998 21-43 692 562 122 30 51 245 193 .559 8 3897 1835 1643 1165 2149 3.70 106 372 16754 71 122 30 89 BAL-TOT-MON-CLE-SEA-ATL 8 Jim Kaat 4.89 4530.1 1959 1983 20-44 898 625 180 31 102 283 237 .544 18 4620 2038 1738 1083 2461 3.45 107 395 19021 116 122 6 128 WSH-MIN-TOT-CHW-PHI-TOT-STL 9 Jim Palmer 5.04 3948 1965 1984 19-38 558 521 211 53 15 268 152 .638 4 3349 1395 1253 1311 2212 2.86 126 303 16112 37 38 11 85 BAL 10 Rick Reuschel 5.11 3548.1 1972 1991 23-42 557 529 102 26 16 214 191 .528 5 3588 1494 1330 935 2015 3.37 114 221 14888 117 88 10 89 CHC-TOT-PIT-SFG 11 Tom Glavine 5.31 4390.2 1987 2008 21-42 677 677 56 25 0 305 200 .604 0 4269 1879 1713 1482 2592 3.51 118 350 18494 142 65 7 65 ATL-NYM 12 Jamie Moyer 5.37 3606 1986 2008 23-45 614 561 31 9 14 234 181 .564 0 3752 1826 1689 1026 2151 4.22 105 451 15352 64 118 11 53 CHC-TEX-STL-BAL-TOT-SEA-PHI 13 Phil Niekro 5.57 5404.1 1964 1987 25-48 864 716 245 45 83 318 274 .537 29 5044 2337 2012 1809 3342 3.35 115 482 22677 86 123 42 226 MLN-ATL-NYY-CLE-TOT 14 Charlie Hough 5.59 3801.1 1970 1994 22-46 858 440 107 13 240 216 216 .500 61 3283 1807 1582 1665 2362 3.75 107 383 16170 44 174 42 179 LAD-TOT-TEX-CHW-FLA 15 Jack Morris 5.83 3824 1977 1994 22-39 549 527 175 28 10 254 186 .577 0 3567 1815 1657 1390 2478 3.90 105 389 16120 99 58 27 206 DET-MIN-TOR-CLE 16 Juan Marichal 5.91 3507.1 1960 1975 22-37 471 457 244 52 11 243 142 .631 2 3153 1329 1126 709 2303 2.89 123 320 14236 82 40 20 51 SFG-BOS-LAD 17 Gaylord Perry 5.94 5350.1 1962 1983 23-44 777 690 303 53 33 314 265 .542 11 4938 2128 1846 1379 3534 3.11 117 399 21953 164 108 6 160 SFG-CLE-TOT-TEX-SDP-TOT-ATL-SEA 18 Frank Tanana 5.96 4188.1 1973 1993 19-39 638 616 143 34 10 240 236 .504 1 4063 1910 1704 1255 2773 3.66 106 448 17641 116 129 27 119 CAL-BOS-TEX-TOT-DET 19 Jerry Koosman 5.99 3839.1 1967 1985 24-42 612 527 140 33 43 222 209 .515 17 3635 1608 1433 1198 2556 3.36 110 290 15996 121 71 29 89 NYM-MIN-TOT-CHW-PHI 20 Don Sutton 6.09 5282.1 1966 1988 21-43 774 756 178 58 12 324 256 .559 5 4692 2104 1914 1343 3574 3.26 108 472 21631 102 82 21 112 LAD-HOU-TOT-MIL-CAL-LAD 21 Greg Maddux 6.10 4873.2 1986 2008 20-42 721 717 109 35 3 350 218 .616 0 4588 1905 1691 978 3302 3.12 133 337 19864 174 131 27 68 CHC-ATL-TOT-SDP 22 Fergie Jenkins 6.38 4500.2 1965 1983 22-40 664 594 267 49 37 284 226 .557 7 4142 1853 1669 997 3192 3.34 115 484 18400 116 84 18 62 PHI-TOT-CHC-TEX-BOS-CHC 23 Bert Blyleven 6.70 4970 1970 1992 19-41 692 685 242 60 3 287 250 .534 0 4632 2029 1830 1322 3701 3.31 118 430 20491 71 155 19 114 MIN-TOT-TEX-PIT-CLE-MIN-CAL 24 Jim Bunning 6.83 3760.1 1955 1971 23-39 591 519 151 40 39 224 184 .549 16 3433 1527 1366 1000 2855 3.27 114 372 15618 98 160 8 47 DET-PHI-PIT-TOT 25 Tom Seaver 6.85 4782.2 1967 1986 22-41 656 647 231 61 6 311 205 .603 1 3971 1674 1521 1390 3640 2.86 127 380 19369 116 76 8 126 NYM-TOT-CIN-NYM-CHW ----+-----------------+---------+------+----+----+-----+----+---+---+---+---+---+---+-----+---+----+----+----+----+----+------+----+---+-----+---+---+---+---+----------- Cnt Player **SO/9** IP From To Ages G GS CG SHO GF W L W-L% SV H R ER BB SO ERA ERA HR BF IBB HBP BK WP Teams ----+-----------------+---------+------+----+----+-----+----+---+---+---+---+---+---+-----+---+----+----+----+----+----+------+----+---+-----+---+---+---+---+----------- 26 Mickey Lolich 7.01 3638.1 1963 1979 22-38 586 496 195 41 40 217 191 .532 11 3366 1537 1390 1099 2832 3.44 105 347 15140 67 92 8 124 DET-NYM-SDP 27 Steve Carlton 7.13 5217.1 1965 1988 20-43 741 709 254 55 13 329 244 .574 2 4672 2130 1864 1833 4136 3.22 115 414 21683 150 53 90 183 STL-PHI-TOT-MIN 28 Bob Gibson 7.22 3884.1 1959 1975 23-39 528 482 255 56 21 251 174 .591 6 3279 1420 1258 1336 3117 2.91 127 257 16068 118 102 13 108 STL 29 Roger Clemens 8.55 4916.2 1984 2007 21-44 709 707 118 46 0 354 184 .658 0 4185 1885 1707 1580 4672 3.12 143 363 20240 63 159 20 143 BOS-TOR-NYY-HOU 30 Nolan Ryan 9.55 5386 1966 1993 19-46 807 773 222 61 13 324 292 .526 3 3923 2178 1911 2795 5714 3.19 111 321 22575 78 158 33 277 NYM-CAL-HOU-TEX 31 Randy Johnson 10.76 3900 1988 2008 24-44 574 564 98 37 5 288 151 .656 2 3112 1581 1401 1434 4663 3.23 138 373 16072 29 185 32 103 MON-TOT-SEA-ARI-NYY Seasons/Careers found: 31.
Photos from the George Grantham Bain Collection at the Library of Congress.
Please report any abuse.
We're Social...for Statheads
Every Sports Reference Social Media Account
Site Last Updated: Thursday, May 2, 3:54AM
Question, Comment, Feedback, or Correction?
Subscribe to our Free Email Newsletter
Subscribe to Stathead Baseball: Get your first month FREE
Your All-Access Ticket to the Baseball Reference Database
Do you have a sports website? Or write about sports? We have tools and resources that can help you use sports data. Find out more.