1994 Register Pitching Leaders

Current search:
For 1994, Sorted by greatest Wins

__p("text that informs the user how to change the form", "Use the back button to change the form")

Click on the red text to pre-fill the form with various values

Year
Filter
Sort By

League Player Pitching

League Player Pitching
Rk Name Age Tm Lg Lev W Aff L W-L% ERA RA9 G GS GF CG SHO SV IP H R ER HR BB IBB SO HBP BK WP BF WHIP H9 HR9 BB9 SO9 SO/W
1Yi Hsin Chen30BTHCPBLFgn224.8462.613.2433281832241.12148770223721465049561.0408.00.81.45.43.95
2Masahiro Yamamoto28CNIJPCLFgn198.7043.493.62292901420214.02038683194631480018681.1648.50.81.96.23.22
3Matt Arrandale23SAV,SPTSALL,FLORA,A+18STL7.7202.252.9028280500192.1177624823211506157631.0878.30.11.57.04.69
4Kye Hyun Cho30HTIKBOFgn185.7832.612.96271450210.01716961126213568431.1107.30.52.75.82.18
5Jim Cole23BELMIDWA18MIL5.7833.323.9527270310173.117776641453015084147421.3279.20.72.87.82.83
6LaTroy Hawkins21SLK,NSV,FTMPCL,SOUL,FLORAAA,AA,A+18MIN6.7503.073.4929290310193.217475661167012610368031.2448.10.53.15.91.88
7Steve Kline21CBSSALLA18CLE5.7833.013.2528280210185.21756762143601747267441.1368.50.71.78.44.83
8Sang-Hoon Lee23LGKKBOFgn188.6922.472.7527620189.2140585295714877541.0396.60.42.77.02.60
9José Núñez30UPRCPBLFgn189.6672.083.1636241644225.1203795284381733069101.0928.10.31.76.94.02
10Juan Acevedo24NHVELAA17COL6.7392.372.8926260520174.21425646163801615546971.0317.30.82.08.34.24
11Alan Benes22ARK,SPT,SAV,LOUTL,FLOR,SALL,AAAA,A+,A,AAA17STL3.8502.282.8930300200205.214466521052018472117960.9536.30.42.38.13.54
12Jimmy Key33NYAALMaj17NYY4.8103.273.6425250100168.0177686110520973187101.3639.50.52.85.21.87
13David Cone31KCAALMaj16KCR5.7622.943.1523230430171.21306056155401327156901.0726.80.82.86.92.44
14Balvino Gálvez30BTHCPBLFgn165.7622.553.1727221644201.11867157939113260108221.1188.30.41.75.93.38
15Yong Duk Han29HWAKBOFgn168.6673.253.6027410177.11687164222910547131.1118.51.11.55.33.62
16Tim Harikkala22APP,JCK,RVSMIDW,SOUL,CALLA,AA,A+16SEA4.8002.343.4126260300177.015567461153011560107261.1757.90.62.75.82.17
17Ken Hill28MONNLMaj16MON5.7623.323.5523230210154.2145615712447856036471.2228.40.72.64.91.93
18Tae-won Kim30LGKKBOFgn165.7622.412.6928630190.214257516509687531.0076.70.32.44.51.92
19Makoto Kito29HIRJPCLFgn165.7623.974.0730250810181.11788280285611492057581.2908.81.42.87.42.66
20Steve Lemke24MOD,WMI,HVLCALL,MIDW,SOULA+,A,AA16OAK4.8002.402.8431237002164.214052448302937076631.0327.70.41.65.13.10
21Greg Maddux28ATLNLMaj16ATL6.7271.561.96252501030202.0150443543131566137740.8966.70.21.47.05.03
22Mike Mussina25BALALMaj16BAL5.7623.063.2224240300176.1163636019421991007121.1638.31.02.15.12.36
23Rigo Beltrán24LOU,ARKAA,TLAAA,AA15STL11.5774.334.6027270210166.115985801771210855187191.3838.60.93.85.81.52
24John Frascatore24LOU,ARK,SLNAA,TL,NLAAA,AA,Maj15STL7.6823.514.1626250620166.2165776585021235067081.2908.90.42.76.62.46
25Phil Grundy21RFDMIDWA15KCR8.6523.213.8727260200151.11356554651311610146221.2298.00.43.06.92.27
26Hideki Irabu25LOTJPPLFgn1510.6003.043.34272611610207.117077701694223962138701.2737.40.74.110.42.54
27Sam-heum Jeong32LGKKBOFgn158.6522.953.4827920186.11737261184176137581.1488.40.92.03.71.85
28Sean Johnston23PRWCARLA+15CHW6.7144.534.8527270310165.018589839611814067171.49110.10.53.34.41.33
29Jose Prado22BAKCALLA+15LAD9.6253.534.1328280000163.11597564856014355116841.3168.80.43.17.92.55
30Mark Ratekin23VAN,MDLPCL,TLAAA,AA15CAL9.6254.995.6929280300180.121311410015546926097821.48110.60.72.74.61.70
31Sid Roberson22ELPTLAA15MIL8.6522.833.4725250800181.11907057748311917147711.3139.40.32.45.92.48
32Scott Ruffcorn24NVL,CHAAA,ALAAA,Maj15CHW5.7503.093.5626260330172.0154685964511476067111.1578.10.32.47.73.27
33Julián Tavárez21CHR,CLEIL,ALAAA,Maj15CLE7.6823.654.4127270220177.21738772164411028097511.2218.80.82.25.22.32
34Marc Valdes22PRT,KNCEL,MIDWAA,A15FLA8.6522.723.1326260200175.11396153860113816377261.1357.10.43.17.12.30
35John Wasdin21HVL,MODSOUL,CALLAA,A+15OAK4.7893.153.5827252000168.11436759153421384076731.0517.60.81.87.44.06
36Brad Woodall25RMD,ATLIL,NLAAA,Maj15ATL7.6822.493.0528280430191.21646553165121392077741.1227.70.82.46.52.73
37Matt Apana23RVSCALLA+14SEA4.7782.833.4326260330165.1142635287001374056941.2827.70.43.87.51.96
38Blaine Beatty30CNGSOULAA14CIN7.6672.383.0327261640196.11466652154301628047700.9636.70.72.07.43.77
39Jesse Cross26SYRILAAA14TOR11.5604.574.9231290210177.11739790236811326027611.3598.81.23.56.71.94
40Chris Cumberland21GBOSALLA14NYY5.7372.943.6022220110137.2123554594109542115591.1918.00.62.76.22.32
41Tom Fordham20HCK,SBNSALL,MIDWA14CHW9.6093.634.5628280220183.21839374144411693497671.2369.00.72.28.33.84
42Jimmy Haynes21BOW,ROCEL,ILAA,AAA14BAL8.6363.183.8028280510187.01747966195211914387731.2098.40.92.59.23.67
43David Hutcheson22DYT,ORLFLOR,SOULA+,AA14CHC7.6672.643.3328270530181.0151675384201149337431.0667.50.42.15.72.71
44José Ibar--HAVCNSFgn142.8752.983.4817161031124.0994841733088130104981.0657.20.52.46.42.67
45Danny Jackson32PHINLMaj14PHI6.7003.263.5625250410179.11837165134611292027551.2779.20.72.36.52.80
46Min Chul Jeong22HWAKBOFgn1410.5832.152.4428940218.0156595265619678630.9726.40.22.38.13.50
47Greg Keagle23RCU,WCHCALL,TLA+,AA14SDP10.5833.884.2127270110162.1146767077321487146981.3498.10.44.08.22.03
48Sang Jin Kim24OBBKBOFgn1410.5832.372.9734927194.0170645144714857851.1197.90.22.26.93.15
49Tim Kubinski22WMIMIDWA14OAK6.7003.634.6530234100158.21688264836012671086771.2869.50.52.07.13.50
50Masumi Kuwata26YOMJPCLFgn1411.5602.522.82282711011207.11756558165181854068361.0907.60.72.28.03.63
51Les Lancaster32SYRILAAA14TOR3.8243.614.426411900389.29544366254694033911.3389.50.62.56.92.76
52Albie Lopez22CHR,CLEIL,ALAAA,Maj14CLE5.7373.974.4226260410161.01567971234801234086751.2678.71.32.76.92.56
53Tony Mack33CPCTXLAInd143.8244.164.962119210123.112668571636821.3149.21.22.66.02.28
54Ben McDonald26BALALMaj14BAL7.6674.064.2924240510157.1151757114542942136551.3038.60.83.15.41.74
55Scott Norman21FAY,LAKSALL,FLORA,A+14DET9.6092.803.4428280530183.116770571146010450147491.1628.20.52.35.12.26
56Dave Oehrlein24SAV,SPTSALL,FLORA,A+14STL3.8242.542.8924240000152.1119494384501266056061.0777.00.52.77.42.80
57Chung-sik Pak23SAMKBOFgn148.6362.352.83321333203.117464531628130108060.9937.70.71.25.84.64
58Rod Pedraza24NHV,CSPEL,PCLAA,AAA14COL6.7004.485.3829270420160.218996804362785137031.40010.60.22.04.42.17
59Carlos Pérez23OTT,HRBIL,ELAAA,AA14MON7.6672.773.5029281521198.01857761135921515198181.2328.40.62.76.92.56
60Andy Pettitte22CLB,ALCIL,ELAAA,AA14NYY4.7782.863.8227270300169.21617254839111131106951.1798.50.42.15.92.85
61Jason Pierson23PRWCARLA+14CHW8.6363.334.0428280310189.118385702248011762117851.2208.71.02.35.62.44
62Bill Pulsipher20BNGELAA14NYM9.6093.224.0328280510201.01799072188921713598491.3338.00.84.07.71.92
63Bret Saberhagen30NYNNLMaj14NYM4.7782.742.9424240400177.11695854131301434006961.0268.60.70.77.311.00
64Masaki Saito29YOMJPCLFgn148.6362.532.62302701150206.11836058163221446028201.0428.00.71.46.34.50
65Brad Schorr22SCE,BNGFLOR,ELA+,AA14NYM8.6364.014.5127260430161.2159817212533696266841.3118.90.73.03.81.30
66Steve Schrenk25NVLAAAAA14CHW6.7003.484.1329280210178.217582691569313461147691.3668.80.83.56.81.94
67Joon Sung31SAMKBOFgn148.6363.433.9026310152.113066589624666361.2607.70.53.72.70.74
68Scott Taylor27NORAAAAA14MIL9.6094.294.7828270410165.217788791259210612037201.4259.60.73.25.81.80
69Wade Walker22PEOMIDWA14CHC12.5383.995.4528280410178.1192108791172011784177891.4809.70.63.65.91.63
70Bob Wolcott20RVS,CGYCALL,PCLA+,AAA14SEA9.6092.843.7127270510186.21797759125341475057861.2438.60.62.67.12.77
71Sean Bergman24TOL,DETIL,ALAAA,Maj13DET9.5913.924.6028280200172.11698875176011576087381.3298.80.93.18.22.62
72Mike Birkbeck33RMDILAAA13ATL6.6842.733.1728280100164.2145585084601432256581.1607.90.42.57.83.11
73Ron Blazier22CLWFLORA+13PHI5.7223.383.7929290000173.11777365153611209227151.2299.20.81.96.23.33
74Mike Bovee20WMTCARLA+13KCR4.7652.653.0828261000169.21495850103201544186751.0677.90.51.78.24.81
75Dan Carlson24PHXPCLAAA13SFG6.6844.644.7631222001151.117380782155111710106651.50710.31.23.37.02.13
76Giovanni Carrara26KNXSOULAA13TOR7.6503.894.6626260100164.1158857116590967097051.3208.70.93.25.31.63
77Sang Duk Choi23PCDKBOFgn139.5912.512.5636211158.012345449599046351.1527.00.53.45.11.53
78Brian Conroy25CSP,PAWPCL,ILAAA13COL-BOS6.6846.647.4527260100145.018612010735443645106581.58611.52.22.74.01.45
79Roland de la Maza22CBSSALLA13CLE2.8672.964.7121210100112.2102593713250976234731.1278.11.02.07.73.88
80Geoff Edsell22CDR,LELMIDW,CALLA,A+13CAL7.6503.274.0826241410165.114775601389211086137121.4278.00.74.86.01.24
81Rick Forney22BOWELAA13BAL8.6194.625.7028280420165.216810585175811253297151.3649.10.93.26.82.16
82Ryan Franklin21APP,RVS,CGYMIDW,CALL,PCLA,A+,AAA13SEA8.6193.254.4727270620185.117592671332013921467821.1178.50.61.66.84.34
83Tom Glavine28ATLNLMaj13ATL9.5913.974.1425250200165.117376731070101401187311.4709.40.53.87.62.00
84Pat Hentgen25TORALMaj13TOR8.6193.403.8124240630174.21587466215911473157281.2428.11.13.07.62.49
85Stacy Hollins21MODCALLA+13OAK6.6843.393.5829223000143.11335754105511318176101.3128.40.63.58.22.38
86Mark Hubbard24GBO,TAMSALL,FLORA,A+13NYY8.6193.584.3328271210156.01717562134801448346751.4049.90.82.88.33.00
87Shinji Imanaka23CNIJPCLFgn139.5912.883.11282531423197.01666863184221560087851.0567.60.81.97.13.71
88Bill Johnson26TYLTXLAInd134.7653.654.152318300125.21155851760991.3938.20.54.37.11.65
89Randy Johnson30SEAALMaj13SEA6.6843.193.4023230940172.01326561147222046056941.1866.90.73.810.72.83
90Taigen Kaku32SEIJPPLFgn135.7224.985.1927211420130.0137757223522863015691.4549.51.63.66.01.65
91Chin Hsing Kuo30UPRCPBLFgn136.6842.533.123218905167.1162584711282832066831.1358.70.61.54.52.96
92David Lundquist21HCKSALLA13CHW10.5653.484.4327270320178.217088691543013312287591.1928.60.82.26.73.09
93Scott Marquardt21SAVSALLA13STL5.7223.603.8523230220142.2106615716490118101115811.0866.71.03.17.42.41
94Jerry Martin22CHTFLORA+13TEX6.6842.082.8428270110164.213352386680804786651.2217.30.33.74.41.18
95Darrell May22DHM,GRVCARL,SOULA+,AA13ATL5.7223.063.5123230200138.11355447103411155095721.2228.80.72.27.53.38
96Nate Minchey24PAW,BOSIL,ALAAA,Maj13BOS8.6193.774.7029271620174.117291731565210852107431.3598.90.83.45.61.66
97Doug Mlicki23JACTLAA13HOU7.6503.384.0223230100138.210762522054513083135751.1616.91.33.58.42.41
98Billy Percibal20ABYSALLA13BAL9.5913.564.2528280320169.11608067990013214137441.4768.50.54.87.01.47
99Matt Petersen24PRT,BREEL,FLORAA,A+13FLA8.6193.894.3429251100159.213177691367112510456621.2407.40.73.87.01.87
100Chris Roberts23BNGELAA13NYM8.6193.293.9527270220175.116477641177112861127511.3758.40.64.06.61.66

About the Register Data

Historical performance data for professional leagues (affiliated minor leagues, independent minor leagues, fall/winter leagues, and other international leagues) is provided by and licensed from 24-7 Baseball and Chadwick Baseball Bureau. It incorporates the work of many stalwart baseball researchers, including Cliff Blau, Art Cantu, Frank Hamilton, Reed Howard, Kevin Johnson, Bob McConnell, Jack Morris, and Ray Nemec, as well as members of the Minor Leagues Committee of the Society for American Baseball Research.

Perhaps most importantly, it builds upon the seminal work of Ed Washuta, who magnanimously provided the framework to make the whole thing possible.

Minor league Total Zone (Rctch&Rtz, 2005-2009) data provided by Baseballprojection.com and Minorleaguesplits.com.

About the Negro League Data

Sources

This data comes from two sources. 1) The Negro Leagues Researchers and Authors Group put together by the National Baseball Hall of Fame and Museum thanks to a grant provided by Major League Baseball. 2) Gary Ashwill and his collaborators.

The Hall of Fame data is found for the years 1920-1948 and the Ashwill data is found from 1904-1919. Many statistics are incomplete due to ongoing research and/or limitations in published sources, so please be assured that we are aware there are issues with the data and will continue to work with our data providers to improve the data that appears here.

The Hall of Fame dataset

This data is constructed from the best available information as provided by Larry Lester, Wayne Stivers and Dick Clark of the Negro Leagues Researchers and Authors Group. It contains data culled from newspaper boxscores, covering league sanctioned games from 1920 to 1948, which was produced for a study sponsored by Major League Baseball and the National Baseball Hall of Fame and Museum. It reflects totals as compiled by the NLRAG up to 2006. As new credible information is continually unearthed, these numbers will continue to change.

Baseball-Reference and the National Baseball Hall of Fame and Museum would like to acknowledge Major League Baseball for funding this study, along with the Negro Leagues Researchers and Authors Group for their extensive efforts to collect the raw data and construct the most comprehensive database of Negro Leagues Baseball statistics.  Under the direction of Larry Lester, Wayne Stivers and Dick Clark, this database is the largest dataset ever made publically available and we wish to express our gratitude for all their efforts to help rebuild this lost statistical history.

The Ashwill Negro Leagues Database

Playing statistics and biographical data on the Negro leagues (all pre-1920) and early Latin American professional baseball is licensed from and provided by the Negro Leagues Database, a project organized by Gary Ashwill with the participation of many historians of Negro league and Latin American baseball.

The database is a work in progress, and will include more seasons as development continues. It appears in its original form at Seamheads.com.

Playing statistics and biographical data for this portion of our dataset (The Negro Leagues Database) are all copyright 2013 by Gary Ashwill. All rights reserved.

Completeness

Note that our records are missing thousands of players who played in the Negro Leagues for minor league teams, independent teams, barnstorming teams or even Negro major league teams. We will bring their records to light as soon as suitable records are available for those players.

Details about our NLB Data

If you utilize material unique to a Sports Reference site for a tweet, an article, or for research for a broadcast or podcast, please strongly consider citing this site as the source for the material. It would be greatly appreciated and would help us continue to produce this material.