Team Fielding - CF

Team Fielding - CF Table
Tm #Fld RA/G G GS CG Inn Ch PO A E DP Fld%
Boston Red Sox24.711541541541399.042639817111.974
Chicago White Sox54.151551551271418.14884631694.982
Cleveland Indians43.831551551251391.14274071284.981
Detroit Tigers34.811541541451384.03923781043.990
New York Yankees74.031541541411367.04073841764.985
Philadelphia Athletics34.841541541521358.041338715114.973
St. Louis Browns65.731541541381370.14594341875.985
Washington Senators34.961541541511366.152850314111.979
League Average44.631541541421382 4424191583.981
294.6312341234113311054.1354033541196726.981

Team Advanced Fielding - CF*

Team Advanced Fielding - CF* Table
Errors Assists Single w/ Runner on 1st Single w/ Runner on 2nd Double w/ Runner on 1st Flyout, <2out, Runner on 3rd Flyout, <2out, Runner on 2nd Baserunning Totals
Tm Tot Cch Fld Thr ROE Tot 1B 2B 3B Hm Opp Held Kill Opp Held Kill Opp Held Kill Opp Held Kill Opp Held Kill Opp Held Held% Adv Kill Kill% Aother PA RHB% BIP% FBIP% Fld F2O%
Boston Red Sox1111001170726835626045239132704335124111146.1%12193.7%8606665%77%28%74056%
Chicago White Sox7061115066265483407014501932413511799854.7%7563.4%9561259%79%31%72761%
Cleveland Indians8080012031711452472104126020533929125710239.7%143124.7%0594053%78%30%82950%
Detroit Tigers303007012157342415018802241393201778346.9%9131.7%4474060%77%28%54658%
New York Yankees6060017093370373313112411861302211617244.7%8274.3%10560359%76%29%62662%
Philadelphia Athletics10010011403451066146940137123223933125010742.8%13583.2%6541561%80%30%72150%
St. Louis Browns4040015053458343426115802133493711858847.6%8984.3%7455257%75%29%51758%
Washington Senators1101100140346995325754154226605645025311344.7%13283.2%6568954%79%33%82159%
League Average8070014053482473526215612342423412139745.4%10883.6%6545259%78%30%69157%
6015813111037253465237523412441512251518136123362686170377445.4%868613.6%504361759%78%30%552757%

Player Fielding - CF

Player Fielding - CF Table
Rk Name Age Tm G GS CG Inn Ch PO A E DP Fld% RF/G
1Hank Bauer28NYY1005.0110001.0001.00
2Jim Busby24CHW1391171131123.13773561474.9812.66
3Sam Chapman35TOT623935406.0114110221.9821.81
4Sam Chapman35PHA171717149.14744120.9572.65
5Sam Chapman35CLE452218256.267661011.0001.49
6Ray Coleman29TOT332814216.08179020.9752.39
7Ray Coleman29SLB53328.0660001.0001.20
8Ray Coleman29CHW282511188.07573020.9732.61
9Jim Delsing25SLB118106102978.03423221464.9822.85
10Dom DiMaggio34BOS1461461461331.040237417111.9732.68
11Joe DiMaggio36NYY113113105972.02892751133.9902.53
12Larry Doby27CLE1301261021065.23383191183.9762.54
13Hoot Evers30DET454037367.0108105120.9812.36
14Johnny Groth24DET113110105981.0273262923.9932.40
15Jackie Jensen24NYY292520222.17062531.9572.31
16Paul Lehner30TOT302818235.275723011.0002.50
17Paul Lehner30CHW1311289.029272001.0002.23
18Paul Lehner30SLB171716146.246451011.0002.71
19Mickey Mantle19NYY32224.0440001.0001.33
20Cliff Mapes29TOT1512795.233321001.0002.20
21Cliff Mapes29NYY31111.2330001.0001.00
22Cliff Mapes29SLB1211684.030291001.0002.50
23Billy Martin23NYY1001.0000000.00
24Mike McCormick34WSH129994.03231010.9692.58
25Barney McCosky34CLE22112.0550001.0002.50
Rk Name Age Tm G GS CG Inn Ch PO A E DP Fld% RF/G
26Sam Mele29WSH191918168.246460001.0002.42
27Minnie Minoso25CHW22116.0660001.0003.00
28Pat Mullin33DET54336.011110001.0002.20
29Irv Noren26WSH1261261241103.245042614101.9783.49
30Dave Philley31PHA1171161151024.23142931474.9782.62
31Roy Sievers24SLB15139107.23230110.9692.07
32Harry Simpson25CLE85457.017170001.0002.13
33Bud Stewart35CHW1002.0110001.0001.00
34Elmer Valo30PHA222120184.05250020.9622.27
35Clyde Vollmer29BOS88868.024240001.0003.00
36Ken Wood26SLB44226.0321001.0000.75
37Gene Woodling28NYY171313131.040391001.0002.35
LgAvg

Player Advanced Fielding - cf

Player Advanced Fielding - cf Table
Errors Assists Single w/ Runner on 1st Single w/ Runner on 2nd Double w/ Runner on 1st Flyout, <2out, Runner on 3rd Flyout, <2out, Runner on 2nd Baserunning Totals
Rk Name Age Tm Tot Cch Fld Thr ROE Tot 1B 2B 3B Hm Opp Held Kill Opp Held Kill Opp Held Kill Opp Held Kill Opp Held Kill Opp Held Held% Adv Kill Kill% Aother PA RHB% BIP% FBIP% Fld F2O%
1Hank Bauer28NYY0000000000000000000000000000001958%89%37%1100%
2Jim Busby24CHW6051113064252412345011401422332711447954.9%6053.5%8455359%79%31%57960%
3Sam Chapman35CLE0000010001171101120000421630381847.4%1912.6%0107852%77%31%13449%
4Sam Chapman35PHA2020010100950710110000550221254.5%1000.0%162065%79%29%8548%
5Ray Coleman29CHW1010000000950310100310330191052.6%900.0%061161%82%32%9266%
6Ray Coleman29SLB0000000000100100000100100400.0%400.0%011758%68%36%967%
7Jim Delsing25SLB303001104234021330519501222312211225545.1%6075.7%4306156%75%28%35158%
8Dom DiMaggio34BOS1111001170726815525745228127604134122810746.9%11293.9%8576566%77%28%70355%
9Joe DiMaggio36NYY303001106125027117008311351171201054744.8%5532.9%8400160%76%29%45561%
10Larry Doby27CLE8080011031692383578412601422322512077938.2%118104.8%1458453%78%29%65450%
11Hoot Evers30DET20200000001780900530310960431841.9%2500.0%0125060%78%29%15158%
12Johnny Groth24DET101007012140262325013501931302601346548.5%6632.2%4347860%77%27%39458%
13Jackie Jensen24NYY303005022113621021410210751361541.7%17411.1%192559%78%28%10263%
14Paul Lehner30CHW000002002042110021020055014857.1%517.1%137059%79%32%4564%
15Paul Lehner30SLB0000010001870510220301990271970.4%713.7%061564%79%31%8251%
16Mickey Mantle19NYY0000000000000000000000000000008665%78%28%580%
17Cliff Mapes29NYY000000000000011000000000011100.0%000.0%05843%72%28%560%
18Cliff Mapes29SLB00000101001102001001001106233.3%400.0%116950%76%30%1974%
19Billy Martin23NYY000000000000000000000000000000560%60%20%0
20Mike McCormick34WSH101000000061030021010076019842.1%1100.0%041545%82%35%5457%
21Barney McCosky34CLE00000000001000000002100003133.3%200.0%05151%69%27%956%
22Sam Mele29WSH000000000066060010010022016850.0%800.0%055846%79%33%7146%
23Minnie Minoso25CHW000000000000011000000000011100.0%000.0%06958%75%39%967%
24Pat Mullin33DET0000000000000000000000000000001283%75%33%1100%
25Irv Noren26WSH100100014034687462485412322460473702189744.5%11383.7%6471656%79%33%69661%
Rk Name Age Tm Tot Cch Fld Thr ROE Tot 1B 2B 3B Hm Opp Held Kill Opp Held Kill Opp Held Kill Opp Held Kill Opp Held Kill Opp Held Held% Adv Kill Kill% Aother PA RHB% BIP% FBIP% Fld F2O%
26Dave Philley31PHA6060113024586474562012612022282512028240.6%11284.0%5400660%80%30%53551%
27Roy Sievers24SLB1010010010740300200410750231043.5%1300.0%150559%72%26%5159%
28Harry Simpson25CLE00000000004314000000001109444.4%4111.1%-122755%78%34%3256%
29Bud Stewart35CHW0000000000000100000000000100.0%100.0%0967%89%33%250%
30Elmer Valo30PHA20200000001190610000300630261350.0%1300.0%078961%81%30%10150%
31Clyde Vollmer29BOS000000000021030011051021013430.8%900.0%030164%75%28%3765%
32Ken Wood26SLB00000100001101001100000003266.7%100.0%18540%73%20%520%
33Gene Woodling28NYY000001010074030000030065019947.4%1000.0%150958%77%31%5867%
LgAvg1010020100950610210300540241145.4%1213.6%160659%78%30%7757%