Negro League teams are presented with both league-only and overall records against top Black clubs. Player stats include league games, interleague games (against major Negro League competition), and games against select top-level independent Black clubs. Player stats do not include the extensive amount of exhibitions and barnstorming games Negro League teams often played. Negro League data is not complete. Research is still ongoing and we’ll continue to publish updates as more information becomes available. Negro Leagues Data: Frequently Asked Questions
Team Fielding - LF
| Tm | #Fld | RA/G | G | GS | CG | Inn | Ch | PO | A | E | DP | Fld% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Indianapolis ABCs | 7 | 4.46 | 85 | 77 | 679.1 | 127 | 112 | 9 | 6 | 0 | .953 | |
| Chicago American Giants | 6 | 2.92 | 62 | 58 | 522.0 | 93 | 79 | 10 | 4 | 1 | .957 | |
| Chicago Giants | 4 | 5.50 | 36 | 34 | 281.1 | 56 | 51 | 2 | 3 | 1 | .946 | |
| Cuban Stars West | 1 | 3.23 | 69 | 51 | 438.0 | 102 | 92 | 7 | 3 | 1 | .971 | |
| Dayton Marcos | 7 | 3.28 | 54 | 34 | 293.2 | 60 | 48 | 6 | 6 | 0 | .900 | |
| Detroit Stars | 9 | 3.48 | 63 | 54 | 483.0 | 89 | 81 | 6 | 2 | 1 | .978 | |
| Kansas City Monarchs | 5 | 3.90 | 79 | 71 | 650.0 | 136 | 123 | 11 | 2 | 0 | .985 | |
| St. Louis Giants | 5 | 3.81 | 72 | 60 | 537.0 | 126 | 106 | 10 | 10 | 3 | .921 | |
| League Average | 5 | 3.77 | 65 | 55 | 486 | 99 | 86 | 8 | 4 | 1 | .954 | |
| 40 | 3.77 | 520 | 439 | 3884.1 | 789 | 692 | 61 | 36 | 7 | .954 |
Player Fielding - LF
| Rk | Name | Age | Tm | G | GS | CG | Inn | Ch | PO | A | E | DP | Fld% | RF/G |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Koke Alexander | 32 | DM | 16 | 16 | 135.2 | 33 | 26 | 4 | 3 | 0 | .909 | 1.88 | |
| 2 | Rudolph Ash | 20 | CAG | 3 | 3 | 27.0 | 6 | 4 | 2 | 0 | 0 | 1.000 | 2.00 | |
| 3 | Eddie Boyd | 27 | CAG | 1 | 0 | 5.0 | 0 | 0 | 0 | 0 | 0 | 0.00 | ||
| 4 | George Britt | 24 | DM | 1 | 0 | 1.2 | 0 | 0 | 0 | 0 | 0 | 0.00 | ||
| 5 | Sidney Brooks | 27 | SLG | 14 | 14 | 129.0 | 27 | 25 | 0 | 2 | 0 | .926 | 1.79 | |
| 6 | George Brown | 34 | DM | 5 | 3 | 35.0 | 6 | 6 | 0 | 0 | 0 | 1.000 | 1.20 | |
| 7 | Jim Brown | 28 | CAG | 1 | 0 | 2.2 | 0 | 0 | 0 | 0 | 0 | 0.00 | ||
| 8 | Oscar Charleston | 23 | ABC | 1 | 1 | 9.0 | 1 | 1 | 0 | 0 | 0 | 1.000 | 1.00 | |
| 9 | John Donaldson | 29 | KCM | 1 | 0 | 4.0 | 0 | 0 | 0 | 0 | 0 | 0.00 | ||
| 10 | ValentĂn Dreke | 22 | CSW | 51 | 51 | 438.0 | 102 | 92 | 7 | 3 | 1 | .971 | 1.94 | |
| 11 | Doc Dudley | 26 | SLG | 37 | 37 | 327.0 | 78 | 67 | 7 | 4 | 2 | .949 | 2.00 | |
| 12 | Frank Duncan | 32 | COG | 4 | 3 | 26.0 | 5 | 5 | 0 | 0 | 0 | 1.000 | 1.25 | |
| 13 | Mack Eggleston | 23 | DS | 8 | 7 | 67.0 | 11 | 11 | 0 | 0 | 0 | 1.000 | 1.38 | |
| 14 | John Finner | 34 | SLG | 1 | 0 | 2.0 | 0 | 0 | 0 | 0 | 0 | 0.00 | ||
| 15 | Judy Gans | 33 | CAG | 32 | 30 | 263.1 | 52 | 45 | 4 | 3 | 1 | .942 | 1.53 | |
| 16 | Jelly Gardner | 24 | TOT | 6 | 5 | 46.0 | 6 | 3 | 2 | 1 | 0 | .833 | 0.83 | |
| 17 | Jelly Gardner | 24 | DM | 2 | 2 | 16.0 | 1 | 0 | 0 | 1 | 0 | .000 | 0.00 | |
| 18 | Jelly Gardner | 24 | CAG | 4 | 3 | 30.0 | 5 | 3 | 2 | 0 | 0 | 1.000 | 1.25 | |
| 19 | Joe Green | 41 | COG | 5 | 2 | 27.0 | 4 | 3 | 1 | 0 | 0 | 1.000 | 0.80 | |
| 20 | Chick Harper | TOT | 3 | 3 | 23.0 | 6 | 5 | 1 | 0 | 0 | 1.000 | 2.00 | ||
| 21 | Chick Harper | KCM | 1 | 1 | 9.0 | 3 | 2 | 1 | 0 | 0 | 1.000 | 3.00 | ||
| 22 | Chick Harper | DS | 2 | 2 | 14.0 | 3 | 3 | 0 | 0 | 0 | 1.000 | 1.50 | ||
| 23 | Charley Hill | DS | 15 | 15 | 122.2 | 20 | 19 | 1 | 0 | 0 | 1.000 | 1.33 | ||
| 24 | Pete Hill | 37 | DS | 1 | 0 | 1.0 | 0 | 0 | 0 | 0 | 0 | 0.00 | ||
| 25 | Robert Hudspeth | 26 | ABC | 1 | 0 | 1.0 | 0 | 0 | 0 | 0 | 0 | 0.00 | ||
| Rk | Name | Age | Tm | G | GS | CG | Inn | Ch | PO | A | E | DP | Fld% | RF/G |
| 26 | Ralph Jefferson | 24 | ABC | 10 | 9 | 77.1 | 12 | 10 | 2 | 0 | 0 | 1.000 | 1.20 | |
| 27 | Harry Jeffries | 21 | COG | 7 | 7 | 49.0 | 12 | 11 | 0 | 1 | 0 | .917 | 1.57 | |
| 28 | Jim Jeffries | 27 | ABC | 4 | 3 | 29.1 | 7 | 6 | 0 | 1 | 0 | .857 | 1.50 | |
| 29 | Isaac Lane | 31 | DM | 2 | 1 | 11.1 | 3 | 1 | 1 | 1 | 0 | .667 | 1.00 | |
| 30 | Fred Long | 24 | DS | 1 | 1 | 9.0 | 2 | 1 | 0 | 1 | 0 | .500 | 1.00 | |
| 31 | Alonzo Longware | 29 | DS | 1 | 0 | 3.0 | 0 | 0 | 0 | 0 | 0 | 0.00 | ||
| 32 | Jimmie Lyons | 30 | DS | 10 | 8 | 76.0 | 13 | 11 | 2 | 0 | 0 | 1.000 | 1.30 | |
| 33 | Hurley McNair | 31 | KCM | 68 | 68 | 616.0 | 130 | 118 | 10 | 2 | 0 | .985 | 1.88 | |
| 34 | Eugene Moore | 31 | TOT | 31 | 28 | 249.1 | 59 | 48 | 6 | 5 | 2 | .915 | 1.74 | |
| 35 | Eugene Moore | 31 | DS | 24 | 21 | 188.1 | 40 | 36 | 3 | 1 | 1 | .975 | 1.63 | |
| 36 | Eugene Moore | 31 | SLG | 7 | 7 | 61.0 | 19 | 12 | 3 | 4 | 1 | .789 | 2.14 | |
| 37 | Dink Mothell | 22 | KCM | 1 | 1 | 8.0 | 1 | 1 | 0 | 0 | 0 | 1.000 | 1.00 | |
| 38 | Herlen Ragland | 24 | TOT | 2 | 1 | 8.1 | 1 | 1 | 0 | 0 | 0 | 1.000 | 0.50 | |
| 39 | Herlen Ragland | 24 | ABC | 1 | 1 | 8.0 | 1 | 1 | 0 | 0 | 0 | 1.000 | 1.00 | |
| 40 | Herlen Ragland | 24 | DM | 1 | 0 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0.00 | ||
| 41 | John Reese | 25 | CAG | 23 | 22 | 194.0 | 30 | 27 | 2 | 1 | 0 | .967 | 1.26 | |
| 42 | Bullet Rogan | 26 | KCM | 2 | 1 | 13.0 | 2 | 2 | 0 | 0 | 0 | 1.000 | 1.00 | |
| 43 | Bob Scott | 27 | SLG | 2 | 2 | 18.0 | 2 | 2 | 0 | 0 | 0 | 1.000 | 1.00 | |
| 44 | George Shively | 27 | ABC | 25 | 25 | 211.0 | 27 | 22 | 3 | 2 | 0 | .926 | 1.00 | |
| 45 | Namon Washington | 26 | ABC | 39 | 38 | 343.2 | 79 | 72 | 4 | 3 | 0 | .962 | 1.95 | |
| 46 | Edgar Wesley | 29 | DS | 1 | 0 | 2.0 | 0 | 0 | 0 | 0 | 0 | 0.00 | ||
| 47 | David Wingfield | 26 | DM | 12 | 12 | 93.2 | 17 | 15 | 1 | 1 | 0 | .941 | 1.33 | |
| 48 | Bobby Winston | 41 | COG | 23 | 22 | 179.1 | 35 | 32 | 1 | 2 | 1 | .943 | 1.43 |


We're Social...for Statheads
Site Last Updated: Monday, July 27, 1:10AM
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.