Team Fielding - CF

Team Fielding - CF Table
Tm #Fld RA/G G GS CG Inn Ch PO A E DP Fld% Rtot Rtot/yr Rtz Rof Rdrs Rdrs/yr Rpm Rof Rgood
Arizona Diamondbacks44.65636360559.0161158211.99400002-9-1-1-2
Atlanta Braves13.85606060536.0122120110.992-3-7-411923-1-1
Chicago Cubs34.59636354557.2164160311.994-6-13-5-1-219112
Cincinnati Reds44.19636340556.21591590001.000-9-20-8-1-12-9-3-10
Colorado Rockies35.61626261549.0184181120.9896146016-70-2-1
Los Angeles Dodgers43.58646451572.1171168120.988-2-4-1-136-10-2-1-2
Miami Marlins45.08626256551.0144142110.993-5-11-4-1-14-7-10-2
Milwaukee Brewers44.00626254549.1176173210.994102112-21695-32
New York Mets34.85626251558.1180176220.9891430113-2941-12
Philadelphia Phillies33.43636352571.0143137331.979-5-10-4-1164020
Pittsburgh Pirates34.53626254557.1195191310.995132714-1-294-22
San Diego Padres24.21666659583.2199194323.99049313631-1
San Francisco Giants74.78636355555.2146142130.979-12-26-1201-6-621
St. Louis Cardinals44.62616143537.2151149110.993244-2723-1-1
Washington Nationals54.37626251547.2175168523.9895127-1-109220
League Average44.42636353556 165161221.991101-0201-0-0
544.429389388018342.12470241829239.99112217-52809-5-1

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%
Arizona Diamondbacks101002110022140122095082017100683348.5%3500.0%2238258%69%41%29654%
Atlanta Braves10100100003222015104203301390673755.2%3000.0%1223158%65%36%24450%
Chicago Cubs100103003033161195094060020121873742.5%4822.3%1240057%64%39%28856%
Cincinnati Reds0000000000171101530740101025130743243.2%4200.0%0235558%65%42%27059%
Colorado Rockies20110100104122130607301440181401104944.5%6010.9%0243259%70%40%32456%
Los Angeles Dodgers201101001023141110010709101680693043.5%3811.4%0233858%64%39%27961%
Miami Marlins10100100003120017306103101490713447.9%3700.0%1240869%66%37%26354%
Milwaukee Brewers101002011038210162061050019110843541.7%4900.0%2232857%66%39%29160%
New York Mets20111200112421020501031111026170914751.6%4311.1%1240461%63%37%27265%
Philadelphia Phillies30211301021910015418303011670612439.3%3523.3%1232862%64%35%25355%
Pittsburgh Pirates1001030102281401120621132018110763140.8%4411.3%2237661%65%40%30463%
San Diego Padres2011030300191401620530111021123723244.4%3834.2%0243157%65%40%30663%
San Francisco Giants30301100102615116309505201480703347.1%3611.4%0240358%65%35%27253%
St. Louis Cardinals10101101002613021607207101340742635.1%4800.0%1227355%66%37%27056%
Washington Nationals202015201228161213154011102391883337.5%5233.4%2231061%69%39%29158%
League Average201002011027160173073081018100773444.1%4211.3%1236059%66%38%28258%
230167529389740724352554721084921192012731545116251344.1%635151.3%143539959%66%38%422358%

Player Fielding - CF

Player Fielding - CF Table
Rk Name Age Tm G GS CG Inn Ch PO A E DP Fld% Rtot Rtot/yr Rtz Rof Rdrs Rdrs/yr Rpm Rof Rgood RF/9 RF/G
1José Azocar28SDP1111487.027270001.00012011000002.792.45
2Harrison Bader30NYM534543429.1131128120.985123393382012.702.43
3Ji Hwan Bae24PIT66456.016160001.000-2-53-1-1-1-210-102.572.67
4Jorge Barrosa23ARI22220.0550001.00016910000002.252.50
5Jordan Beck23COL1118.0330001.0000410011501003.383.00
6Cody Bellinger28CHC373733320.294922011.000-2-7-20-2-7-4022.642.54
7Will Benson26CIN312510200.057570001.000-5-31-50-3-18-20-12.571.84
8Vidal Bruján26MIA1107.0000000-6200000000.000.00
9Alex Call29WSN21114.0550001.00002000-1-86-1003.212.50
10Dylan Carlson25STL103236.016160001.0002542-1-1-33-1004.001.60
11Corbin Carroll23ARI575454485.0143140211.9930000-4-10-1-1-22.642.49
12Jake Cave31COL22117.0550001.000-2-106-1-1-1-71-1002.652.50
13Jazz Chisholm Jr.26MIA616156531.0143141110.993-3-7-30-3-7-10-22.412.33
14Pete Crow-Armstrong22CHC252219197.05856110.983-4-22-406375102.602.28
15Brenton Doyle26COL605959524.0176173120.98981771-3-70-2-12.992.90
16Stuart Fairchild28CIN332014192.262620001.00000002121-122.901.88
17Tyler Fitzgerald26SFG86363.11816020.889-2-33-20-1-1900-12.272.00
18Sal Frelick24MIL161310102.026260001.0002234-2001-102.291.63
19TJ Friedl28CIN131312112.025250001.000-3-35-2-1-2-21-10-12.011.92
20Nick Gordon28MIA3006.0110001.00001400000001.500.33
21Michael Harris II23ATL606060536.0122120110.992-3-7-41123-1-12.032.02
22Enrique Hernández32LAD85244.010100001.000-1-2600000002.051.25
23Jung Hoo Lee25SFG373635306.280791001.000-2-7-20-2-8-3102.352.16
24Brandon Marsh26PHI135560.01513111.933113012401102.101.08
25Luis Matos22SFG181715154.14039010.975-7-52-7000-3122.272.17
Rk Name Age Tm G GS CG Inn Ch PO A E DP Fld% Rtot Rtot/yr Rtz Rof Rdrs Rdrs/yr Rpm Rof Rgood RF/9 RF/G
26Jake McCarthy26ARI33124.0770001.00027810000002.632.33
27Jackson Merrill21SDP625555496.2172167323.98837213731-13.082.74
28Dane Myers28MIA3007.000000-1-225-10000000.000.00
29Brandon Nimmo31NYM97351.017161001.00011800-2-47-1-103.001.89
30Lars Nootbaar26STL72020.0990001.0000-700000004.051.29
31James Outman27LAD363025269.17674110.987-2-10-20-3-13-1-1-12.512.08
32Cristian Pache25PHI128571.222220001.000121101171002.761.83
33Andy Pages23LAD302723242.08281010.9880210-2-10-10-13.012.70
34Blake Perkins27MIL524844436.1147144210.9937198-14114-223.012.81
35Heliot Ramos24SFG1003.0110001.00003600000003.001.00
36Víctor Robles27WSN75336.298010.8890-13-11-1-33-1001.961.14
37Johan Rojas23PHI505042439.1106102220.981-7-18-5-2-1-3-2102.132.08
38Chris Roller27MIL1003.0110001.00002400000003.001.00
39Eddie Rosario32WSN128374.214140001.000-4-68-4-1-2-32-2001.691.17
40Victor Scott II23STL201716158.04241010.976-1-80-1-1-80-102.342.05
41Michael Siani24STL433925323.284831001.000152-131140-12.341.95
42Austin Slater31SFG43117.0330001.000-1-94-10-1-71-1001.590.75
43Jack Suwinski25PIT191913161.167670001.0006417-1-3-22-2-103.743.53
44Mike Tauchman33CHC104240.012120001.0000-1100000002.701.20
45Chris Taylor33LAD32117.0330001.00015010000001.591.00
46Michael A. Taylor33PIT453737340.0112108310.991933918286022.942.47
47Tyrone Taylor30NYM1110578.032320001.000122101150013.692.91
48Alek Thomas24ARI44330.0660001.000-3-104-30000001.801.50
49Lane Thomas28WSN32220.012111011.0002105201601005.404.00
50Bubba Thompson26CIN115452.015150001.000-1-22-11-1-23-1002.601.36
Rk Name Age Tm G GS CG Inn Ch PO A E DP Fld% Rtot Rtot/yr Rtz Rof Rdrs Rdrs/yr Rpm Rof Rgood RF/9 RF/G
51Joey Wiemer25MIL1108.0220001.000111110000002.252.00
52Brett Wisely25SFG1002.0110001.0000660016001004.501.00
53Mike Yastrzemski33SFG2119.1330001.000-1-91-10000002.891.50
54Jacob Young24WSN504642402.1135130412.9938249-17215203.002.68

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%
1José Azocar28SDP000000000044020011020032012758.3%500.0%037158%67%41%5054%
2Harrison Bader30NYM201111000121180164062181018120693753.6%3111.4%0183660%62%35%20463%
3Ji Hwan Bae24PIT000000000052010020010010010220.0%800.0%023373%70%42%3152%
4Jorge Barrosa23ARI000000000000000000000011011100.0%000.0%07246%69%43%863%
5Jordan Beck23COL00000000002100000000000002150.0%100.0%03778%76%49%650%
6Cody Bellinger28CHC0000020020176094051040014101492142.9%2712.0%1136960%62%38%16457%
7Will Benson26CIN000000000054082032010041021942.9%1200.0%083454%68%43%10355%
8Vidal Bruján26MIA0000000000000100000000000100.0%100.0%03367%55%39%10%
9Alex Call29WSN000000000011000011000000022100.0%000.0%05963%71%36%863%
10Dylan Carlson25STL000000000021011010030030010220.0%800.0%014655%70%39%2370%
11Corbin Carroll23ARI10100211002012012209507201580632946.0%3400.0%2209758%70%41%26653%
12Jake Cave31COL00000000004100000001000005120.0%400.0%07943%61%44%1145%
13Jazz Chisholm Jr.26MIA10100100003020016305103101490683450.0%3400.0%1231769%66%36%25855%
14Pete Crow-Armstrong22CHC1001010010161011010430100520361644.4%1912.8%085255%67%40%10853%
15Brenton Doyle26COL20110100103520130607301340181401034745.6%5511.0%0231660%70%39%30757%
16Stuart Fairchild28CIN000000000044030020050015100291448.3%1500.0%081858%63%42%9764%
17Tyler Fitzgerald26SFG202000000063020011011011011654.5%500.0%028455%64%37%3250%
18Sal Frelick24MIL0000000000103010000020042017529.4%1200.0%044158%63%39%4755%
19TJ Friedl28CIN000000000061030011031020015320.0%1200.0%047961%64%41%4654%
20Nick Gordon28MIA0000000000000000000000000000002458%54%29%1100%
21Michael Harris II23ATL10100100003222015104203301390673755.2%3000.0%1223158%65%36%24450%
22Enrique Hernández32LAD00000000000000002100002004125.0%300.0%018352%58%36%1856%
23Jung Hoo Lee25SFG00000100101591710520100740351645.7%1812.9%0131260%66%33%14356%
24Brandon Marsh26PHI10010100010002101101011105360.0%1120.0%024279%62%28%2552%
25Luis Matos22SFG101010000053072032031041022940.9%1300.0%066658%63%35%8148%
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%
26Jake McCarthy26ARI000000000011000000000011022100.0%000.0%09552%61%35%888%
27Jackson Merrill21SDP201103030015100142042091018103602541.7%3335.0%0206056%65%40%25665%
28Dane Myers28MIA0000000000100000100000000200.0%200.0%03468%68%47%30%
29Brandon Nimmo31NYM00000100101101002002002208337.5%500.0%122666%69%43%2665%
30Lars Nootbaar26STL00000000001000002100000003133.3%200.0%08751%62%38%1560%
31James Outman27LAD10010100101281700640500840381642.1%2112.6%0110258%66%39%12958%
32Cristian Pache25PHI00000000000001001100003205360.0%200.0%028459%67%36%3367%
33Andy Pages23LAD10100000001160300220410530251248.0%1300.0%098759%64%40%12664%
34Blake Perkins27MIL10100201102717015206103001590662943.9%3700.0%2184657%67%40%23961%
35Heliot Ramos24SFG0000000000000000000000000000001338%62%15%1100%
36Víctor Robles27WSN101010000033000000000011044100.0%000.0%016669%67%39%1650%
37Johan Rojas23PHI20201201011910012316102001240511835.3%3212.0%1180260%64%35%19553%
38Chris Roller27MIL0000000000000000000000000000001191%64%45%1100%
39Eddie Rosario32WSN000000000030071011020022015426.7%1100.0%032057%68%37%3441%
40Victor Scott II23STL101010000084071010011021019736.8%1200.0%065355%65%36%7356%
41Michael Siani24STL000001010015801340310300830421638.1%2600.0%1138755%66%37%15953%
42Austin Slater31SFG000000000000000000000011011100.0%000.0%08359%66%36%933%
43Jack Suwinski25PIT000000000072062021040074026934.6%1700.0%069663%65%42%10365%
44Mike Tauchman33CHC0000000000000000000100100200.0%200.0%017949%68%37%1675%
45Chris Taylor33LAD00000000000001000000001102150.0%100.0%06656%61%32%650%
46Michael A. Taylor33PIT1001030102161004002118201070402050.0%1912.5%2144758%65%38%17065%
47Tyrone Taylor30NYM000000000022031021010063014750.0%700.0%034261%62%39%4276%
48Alek Thomas24ARI00000000001100000001000002150.0%100.0%011864%63%34%1443%
49Lane Thomas28WSN00000100102100001002002017114.3%5114.3%08656%72%47%1573%
50Bubba Thompson26CIN00000000002201101101004209666.7%300.0%022463%64%37%2463%
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%
51Joey Wiemer25MIL000000000011000000000000011100.0%000.0%03060%73%23%450%
52Brett Wisely25SFG000000000000000000000000000000757%100%43%1100%
53Mike Yastrzemski33SFG000000000000000000000011011100.0%000.0%03861%68%55%560%
54Jacob Young24WSN10100420021911114212207101860602236.7%3623.3%2167961%69%40%21861%
LgAvg00000000003202001001002109444.1%501.3%026259%66%38%3158%