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1999 Register Pitching Leaders

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For 1999, Sorted by greatest Wins

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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
1Pedro Martinez27BOSALMLB23BOS4.8522.072.3631291510213.1160564993713139068350.9236.80.41.613.28.46
2Mike Hampton26HOUNLMLB22HOU4.8462.903.2434340320239.020686771210121775099791.2857.80.53.86.71.75
3Jose Lima26HOUNLMLB21HOU10.6773.583.9535350300246.1256108983044218720810241.2189.41.11.66.84.25
4Min-Tae Chung29HYUKBOFgn207.7412.542.6933703230.22086965246317849361.1758.10.92.56.92.83
5Koji Uehara24YOMJPCLFgn204.8332.092.23252501210197.21534946122431794037690.8957.00.51.18.27.46
6Greg Maddux33ATLNLMLB19ATL9.6793.574.2333330400219.125810387163781364019401.34510.60.71.55.63.68
7Shigeki Noguchi25CNIJPCLFgn197.7312.653.0029290740203.22026860136731455068701.3218.90.63.06.42.16
8Kent Bottenfield30SLNNLMLB18STL7.7203.974.3031310000190.11979184218951245018431.5039.31.04.25.91.39
9Doug Bridges22CDR,LELMIDW,CALLA,A+18ANA7.7203.734.1727270520185.217886771656016272107841.2608.60.82.77.92.89
10Kevin Brown34LANNLMLB18LAD9.6673.003.5335350510252.121099841959122171410181.0667.50.72.17.93.75
11Min-cheol Chung27HWAKBOFgn188.6923.754.1132211201.217992842257151128341.1708.01.02.56.72.65
12Bartolo Colon26CLEALMLB18CLE5.7833.954.2632320110205.01859790247651617048581.2738.11.13.37.12.12
13Tim Hudson23OAK,VAN,MDLAL,PCL,TLMLB,AAA,AA18OAK2.9002.743.2332320100203.11687362108622115088451.2497.40.43.89.32.45
14Kevin Millwood24ATLNLMLB18ATL7.7202.683.1633330200228.01688068245922054059060.9966.60.92.38.13.47
15Mike Mussina30BALALMLB18BAL7.7203.503.9031310400203.12078879165201721028421.2749.20.72.37.63.31
16Russ Ortiz25SFNNLMLB18SFG9.6673.814.7233330300207.21891098824125516460139221.5128.21.05.47.11.31
17Aaron Sele29TEXALMLB18TEX9.6674.795.0533330220205.02441151092170318612049201.53210.70.93.18.22.66
18Pedro Astacio30COLNLMLB17COL11.6075.045.4334340700232.025814013038756210110510081.43510.01.52.98.12.80
19Freddy Garcia22SEAALMLB17SEA8.6804.074.2933330210201.1205969118904170103128881.4659.20.84.07.61.89
20Orlando Hernandez33NYAALMLB17NYY9.6544.124.5333330210214.118710898248721578049101.2787.91.03.76.61.80
21Randy Johnson35ARINLMLB17ARI9.6542.482.85353501220271.220786753070336492410791.0206.91.02.312.15.20
22Takeo Kawamura27YKOJPCLFgn176.7393.003.2026260530183.01696561214311311017431.1588.31.02.16.43.05
23Dong-hwan Moon27LTGKBOFgn174.8103.283.5730610189.11717569126714197811.2578.10.63.26.72.10
24Charles Nagy32CLEALMLB17CLE11.6074.955.3533320100202.0238120111265941266038871.47010.61.22.65.62.14
25Norge Vera27SOCCNSFgn172.8950.971.4321211280157.011025171320100676000.9046.30.11.85.73.13
26David Wells36TORALMLB17TOR10.6304.825.1334340710231.2246132124326221696019871.3299.61.22.46.62.73
27Kip Wells22WSM,BIR,CHACARL,SOUL,ALA+,AA,MLB17CHW9.6543.433.7632320000191.216080731180116813397891.2527.50.53.87.92.10
28Kevin Appier31KCA,OAKALMLB16KCR-OAK14.5335.175.6434340100209.02301311202784413171109261.5029.91.23.65.61.56
29Pil-Jung Chin26DOOKBOFgn166.7272.372.53730036114.084323093711444541.0616.60.72.99.03.08
30Omar Daal27ARINLMLB16ARI9.6403.653.8632320210214.21889287217931487238951.2447.90.93.36.21.87
31Pete Harnisch32CINNLMLB16CIN10.6153.683.9033330220198.11908681255721205038331.2458.61.12.65.42.11
32Larry Luebbers29MEM,SLNPCL,NLAAA,MLB16STL7.6964.314.5229270210175.11808884234911008147461.3069.21.22.55.12.04
33Daisuke Matsuzaka18SEIJPPLFgn165.7622.602.7525241620180.01245552148711518257431.1726.20.74.47.61.74
34Tomo Ohka23TRE,PAW,BOSEL,IL,ALAA,AAA,MLB16BOS2.8892.643.2332263110153.11445545164201243046371.2138.50.92.57.32.95
35Ramon Ortiz26ERI,EDM,ANAEL,PCL,ALAA,AAA,MLB16ANA10.6154.024.3733330220203.21849991268401946498611.3168.11.13.78.62.31
36Shane Reynolds31HOUNLMLB16HOU14.5333.854.2035350420231.225010899233701971049631.2399.70.91.47.75.32
37Bronson Arroyo22ATO,NVLEL,PCLAA,AAA15PIT6.7144.174.7728280210166.01898877166811118067391.54810.20.93.76.01.63
38Jason Beverlin25NCHELAA15NYY9.6253.694.7328270100173.115391711681014761107431.3507.90.84.27.61.81
39Matt Blank23JUP,HRBFLOR,ELA+,AA15MON8.6523.143.4529280310175.01586761194511082247111.1608.11.02.35.62.40
40Dave Burba32CLEALMLB15CLE9.6254.254.6234340100220.02111131043096317480139401.3958.61.23.97.11.81
41Paul Byrd28PHINLMLB15PHI11.5774.605.3632320100199.220511910234702106173118721.3779.21.53.24.81.51
42Pasqual Coco21HGR,DUNSALL,FLORA,A+15TOR7.6823.704.1227270200172.214879711161114214297221.2107.70.63.27.42.33
43Scott Erickson31BALALMLB15BAL12.5564.814.9634340630230.124412712327994106110109951.4899.51.13.94.11.07
44Jared Fernandez27PAW,TREIL,ELAAA,AA15BOS9.6254.154.8034206301182.0190978424470865147671.3029.41.22.34.31.83
45Donald Henthorne29CTSCPBLFgn155.7502.482.782625301181.1165565063901218247451.1258.20.31.96.03.10
46Gary Knotts22BRE,PRTFLOR,ELA+,AA15FLA9.6254.204.6628280430175.218091821962012816057601.3789.21.03.26.62.06
47Lijian-Fu Kuo30CTSCPBLFgn157.6822.893.542323100152.21256049255013470146351.1797.40.13.27.92.44
48Jang-jin No24SAMKBOFgn159.6254.354.7833210188.11801009117102173148421.4978.60.84.98.31.70
49Omar Olivares31ANA,OAKALMLB15ANA-OAK11.5774.164.5932320400205.22171059519810859068851.4499.50.83.53.71.05
50Bronswell Patrick28FRE,SFNPCL,NLAAA,MLB15SFG11.5775.056.5434282101169.120312395344501483127471.46510.81.82.47.93.29
51Matt Perisho24OKC,TEXPCL,ALAAA,MLB15TEX7.6824.484.8131283200166.21688983148021673077211.4889.10.84.39.02.09
52Andy Pettitte27NYA,TAMAL,FLORMLB,A+15NYY11.5774.584.8132320000196.2220105100209131293138711.58110.10.94.25.91.42
53Todd Ritchie27PIT,NVLNL,PCLMLB,AAA15PIT9.6253.444.0529270200177.21758068175531094077381.2958.90.92.85.51.98
54Jeriome Robertson22JACTLAA15HOU7.6823.063.8228280100191.01848165224521338757911.1998.71.02.16.32.96
55Wilfredo Rodriguez20KISFLORA+15HOU7.6822.883.2325241000153.11085549862014813156241.1096.30.53.68.72.39
56Kirk Rueter28SFNNLMLB15SFG10.6005.415.7533330100184.221911811128552942028041.48410.71.42.74.61.71
57Shinji Sasaoka31HIRJPCLFgn158.6523.273.46262601350190.01817369174341504007871.1798.60.82.07.13.49
58Curt Schilling32PHINLMLB15PHI6.7143.543.6924240810180.11597471254401525047351.1267.91.22.27.63.45
59Jin-woo Song33HWAKBOFgn155.7504.004.7735826186.21809983246113237921.2918.71.22.96.42.16
60Mark Watson25AKR,KINEL,CARLAA,A+15CLE8.6523.404.1730212000153.1171715810480976376631.42810.00.62.85.72.02
61Darell White27ALXTXLAInd156.7144.334.90232211430172.21659483157611243267421.3968.60.84.06.51.63
62Pat Ahearne29NHV,BPTEL,ATLLAA,Ind14SEA3.8242.593.0624240530170.11495849104101233066811.1157.90.52.26.53.00
63Andy Ashby31SDNNLMLB14SDP10.5833.804.1531310430206.02049587265441327068621.2528.91.12.45.82.44
64Jim Brower26BFL,CLEIL,ALAAA,MLB14CLE12.5384.705.5336291000185.21911149731697949298021.4009.31.53.34.61.36
65Marcos Castillo20SBRCALLA+14LAD9.6094.104.8527270110167.01829076144811308267201.3779.80.82.67.02.71
66Roger Clemens36NYAALMLB14NYY10.5834.604.8430300110187.218510196209001639088221.4658.91.04.37.81.81
67Scott Conner27BPTATLLInd145.7374.385.1124240210148.01508472197601058086611.5279.11.24.66.41.38
68Dave Darwin25JCKSOULAA14DET12.5383.564.5628280310187.119495741958110011028131.3459.30.92.84.81.72
69Robert Dodd26REA,SWBEL,ILAA,AAA14PHI2.8753.043.5348419106109.297433792911024214491.1498.00.72.48.43.52
70Randey Dorame20SBR,VROCALL,FLORA+14LAD5.7372.723.3227260110165.11456150113801643176611.1077.90.62.18.94.32
71Kelvim Escobar23TORALMLB14TOR11.5605.696.1033302100174.02031181101981212910167951.63210.51.04.26.71.59
72Jake Esteves23SHV,SJOTL,CALLAA,A+14SFG3.8242.923.3627251101163.1135615384011096366541.0717.40.42.26.02.73
73Leo Estrella24DUNFLORA+14TOR7.6673.213.9627240220168.016674601147011617166961.2688.90.62.56.22.47
74Tom Glavine33ATLNLMLB14ATL11.5604.124.4235350200234.025911510718831413840210231.46210.00.73.25.31.66
75Dicky Gonzalez20SCE,NFKFLOR,ILA+,AAA14NYM10.5832.823.4926260300175.11616855113111466146961.0958.30.61.67.54.71
76Rick Guttormson22RCUCALLA+14SDP8.6363.724.2828280100174.11658372153601259267141.1538.50.81.96.53.47
77Denny Harriger29INAILAAA14CIN6.7004.084.2927270100172.01838278153621104067171.2739.60.81.95.83.06
78Randy Keisler23TAM,NCH,GBOFLOR,EL,SALLA+,AA,A14NYY8.6363.524.2127270100156.0124736156701527166551.2247.20.33.98.82.27
79Tomohiro Kuroki25LOTJPPLFgn1410.5832.502.8429290700212.21646759146831711088501.0916.90.62.97.22.51
80Pedro Luis Lazo26PROCNSFgn145.7371.852.2622221240155.1117393232911221326130.9406.80.21.77.14.21
81Sang-Mok Lee28HWAKBOFgn148.6364.294.5031202172.01618682262914087071.1058.41.41.57.34.83
82Spike Lundberg22CHTFLORA+14TEX7.6672.833.6330211410156.016263494441819446561.3219.30.22.54.71.84
83Mike Maroth21SAR,JCK,LAKFLOR,SOULA+,AA14BOS-DET9.6094.065.2727260000148.21698767649185102146641.46610.20.43.05.11.73
84Mike Meyers21DYT,WTNFLOR,SOULA+,AA14CHC3.8241.732.2424222200140.1893527105011739055640.9905.70.63.211.13.46
85Dave Mlicki31DET,LANAL,NLMLB14DET-LAD13.5194.615.0733310200199.02191121022572112012018831.4629.91.13.35.41.67
86Eliecer Montes De Oca--VLCCNSFgn145.7371.571.7621201261143.110528252412821225721.0196.60.12.65.12.00
87Jamie Moyer36SEAALMLB14SEA8.6363.874.2632320400228.023510898234811379039451.2419.30.91.95.42.85
88Fumiya Nishiguchi26SEIJPPLFgn1410.5833.413.6129270730179.11417268205521413037321.0937.11.02.87.12.56
89Hideo Nomo30MIL,IWA,HVLNL,PCL,SOULMLB,AAA,AA14CHC-MIL9.6094.314.6332320000200.1190103962891218631138631.4038.51.34.18.42.04
90Steve Ortiz26ABLTXLAInd147.6674.615.6922210610150.117195771550110512156681.47010.20.93.06.32.10
91Jimmy Osting22MACSALLA14ATL4.7782.883.1827225002147.01305247133001315025811.0888.00.81.88.04.37
92Teófilo Pérez--CMYCNSFgn144.7781.792.082321961156.013036313395811056291.0837.50.22.34.72.08
93Paul Rigdon23BFL,AKRIL,ELAAA,AA14CLE4.7783.353.8227260000153.1134655713380853256281.1227.90.82.25.02.24
94Juan Rincon20QDSMIDWA14MIN8.6362.923.6928280000163.11466753866315320116831.2988.00.43.68.42.32
95Takashi Saito29YKOJPCLFgn143.8243.954.0526260520184.21788381323101256117541.1328.71.61.56.14.03
96Jason Sekany23TRE,PAWEL,ILAA,AAA14BOS5.7373.403.7228231320167.015069631068011761107011.3058.10.53.76.31.72
97Scot Shields23LEL,ERICALL,ELA+,AA14ANA7.6672.673.1234196321182.014863541165419411187431.1707.30.53.29.62.98
98Takayuki Shinohara22FKAJPPLFgn141.9331.251.256001200079.14611115254801033010.8955.20.62.89.13.20
99John Sneed23DUN,KNXFLOR,SOULA+,AA14TOR3.8243.754.1027260000153.21407064125711718066421.2828.20.73.310.03.00
100Dave Therneau23RFD,INA,CNGMIDW,IL,SOULA,AAA,AA14CIN5.7374.404.7926260220157.21698477175511396396821.4219.61.03.17.92.53

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.