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
Athletics55.42909067805.0280274241.986-4-6-62-3-4-630
Baltimore Orioles54.88919173806.2237230430.987-11-17-10-2-6-9-6-11
Boston Red Sox34.00888884777.1226221411.996813351422114-1
Chicago White Sox74.52898957788.0256248260.977121813-15861-2
Cleveland Guardians64.08919158806.0229220722.9911420941116443
Detroit Tigers74.09909060792.2219217020.991576-1-8-12-5-2-1
Houston Astros64.97929269815.1228225210.996-5-7-3-2-3-4-1-20
Kansas City Royals45.04909073794.2261255241.985-11-17-8-4-9-14-4-3-2
Los Angeles Angels55.02919178802.2234225630.9873430-4-6-510
Minnesota Twins65.11919171802.12542522011.000-2-2-1-1003-2-1
New York Yankees53.92898971790.2205200140.980-10-15-8-2-8-12-4-2-2
Seattle Mariners33.79919187807.0263257421.992572400-321
Tampa Bay Rays44.15878781776.0240235322.992355-246310
Texas Rangers84.17909065789.1246244110.996142115-169600
Toronto Blue Jays44.42909074798.22262233011.000-6-9-82-2-32-3-1
League Average54.51909071797 240235321.9901010-0000-0
774.5113501350106811952.136043526433510.990151123-3011-5

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%
Athletics4031021001472904315016911500221301436646.2%7410.7%1356054%64%42%47059%
Baltimore Orioles302104021140220334116401310251511274636.2%7921.6%2348447%66%40%41856%
Boston Red Sox10100411023425023611791102014110985354.1%4322.0%2327561%65%38%37859%
Chicago White Sox604212011036191225032070026140944042.6%5311.1%1339651%63%39%39064%
Cleveland Guardians20110703133921025427311440231721084945.4%5454.6%2339153%63%38%37260%
Detroit Tigers2020000000251502120740123024130893741.6%5200.0%0332555%66%38%35361%
Houston Astros101002001144251222015611020271301184840.7%6821.7%0353446%61%39%37561%
Kansas City Royals404022101033160214017401020281501094137.6%6800.0%2344250%66%40%44058%
Los Angeles Angels30212605004728135406301610221101264737.3%7810.8%5353055%62%36%37562%
Minnesota Twins000002010043240261010501540211401154841.7%6700.0%2351849%65%41%43259%
New York Yankees4031210001372301510103111001790903640.0%5311.1%0331056%64%37%35956%
Seattle Mariners20200402013319130907301850282001165648.3%5910.9%3331846%66%39%42661%
Tampa Bay Rays2110030100271701640410121034160933941.9%5400.0%3322354%67%42%35367%
Texas Rangers100101000130150234131080013100773039.0%4611.3%0333751%65%40%38763%
Toronto Blue Jays000003021045290295014501530231411265644.4%6910.8%2339550%63%38%43252%
League Average202103010137220265010401220231401094642.5%6111.1%2340352%64%39%39760%
35126874331861156032743847051526251862803472054162969242.5%917181.1%255103852%64%39%596060%

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
1Luisangel Acuña24CHW301813170.26257230.95242540000003.111.97
2Jo Adell27LAA31110.0220001.0000-700-1-120-1001.800.67
3Blaze Alexander27BAL86142.012120001.000-6-158-50-4-114-4002.571.50
4Javier Báez33DET106353.021210001.00025020-2-45-2003.572.10
5Dylan Beavers24BAL53126.0761001.000-2-81-20-2-92-1-102.421.40
6Cody Bellinger30NYY17145107.015150001.000-3-28-20-2-22-10-11.260.88
7Henry Bolte22ATH484241384.1145140231.979-2-5-4241223-13.332.96
8Lawrence Butler25ATH27227176.25756010.982-4-25-51-6-41-61-12.852.07
9Byron Buxton32MIN555546464.01591590001.000-1-3-10-1-31-203.082.89
10JosĂ© Caballero29NYY21011.043010.7500900000002.451.50
11Evan Carter23TEX726252542.2172171010.99411251106137-102.842.38
12Cam Cauley23TEX22012.0110001.000-1-133-10000000.750.50
13Denzel Clarke26ATH221713160.148480001.0000-10000-1-122.692.18
14Jonatan Clase24TOR1002.0000000000000.000.00
15Kody Clemens30MIN85141.017161001.000249201291003.732.13
16Zach Cole25HOU44335.012120001.00012710000003.093.00
17Colton Cowser26BAL373023258.187861001.000153-14193-123.032.35
18Jonny DeLuca27TBR161410119.037370001.00004102202002.802.31
19Ezequiel Duran27TEX1002.0110001.000-1-576-10000004.501.00
20Jarren Duran29BOS88461.013130001.000-1-25-10001-101.921.63
21Nate Eaton29BOS1119.0330001.00006500000003.003.00
22Stuart Fairchild30CLE86242.0770001.000-1-33-10000001.500.88
23Kyler Fedko26MIN42121.0440001.000-1-81-10000001.711.00
24Zack Gelof26ATH159682.230300001.0002253-1-1-15-1003.272.00
25Trent Grisham29NYY675956533.1142138130.979-6-14-5-1-3-7-1-1-12.352.07
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
26Sam Haggerty32TEX32016.0110001.0000-3300000000.560.33
27Petey Halpin24CLE24128123.041392001.00032803110-1203.001.71
28Michael Helman30TEX97254.014140001.000-2-43-1-1-1-22-1002.331.56
29Derek Hill30CHW136058.020200001.000353201211003.101.54
30Kyle Isbel29KCR565242446.1141139020.986-5-13-2-3-1-32-2-12.802.48
31Daniel Johnson30HOU53232.0660001.000-1-2700-1-380-101.691.20
32Spencer Jones25NYY18129116.036360001.00011310-1-10-1002.792.00
33Ryan Kreidler28MIN191310122.036351011.000-2-21-311101002.661.89
34Steven Kwan28CLE534633392.0111107312.99161851392102.532.08
35Wyatt Langford24TEX15128101.043421001.000779611120103.832.87
36Joey Loperfido27HOU65245.0550001.000-5-143-5-1-3-80-3001.000.83
37Josh Lowe28LAA119476.02321110.95711100000002.612.00
38Nathan Lukes31TOR116259.022220001.0000-6-11001-103.362.00
39Ben Malgeri26DET2005.0110001.00001700000001.800.50
40Austin Martin27MIN65342.011110001.000-1-16-10-1-2900-12.361.83
41Angel MartĂ­nez24CLE53125.0770001.00015610000002.521.40
42Brice Matthews24HOU312517221.065650001.000-1-8-203163002.652.10
43Zach McKinstry31DET43024.0440001.0000-600000001.501.00
44Parker Meadows26DET1211787.217170001.00011301000001.751.42
45VĂ­ctor Mesa Jr.24TBR21111.0550001.000-1-5700000004.092.50
46Jake Meyers30HOU503634333.087861001.0004145-1141002.351.74
47Kameron Misner28KCR87662.01716010.941-2-44-20-2-39-2002.322.00
48Braden Montgomery23CHW1002.0220001.0000-5400000009.002.00
49Cedric Mullins31TBR747068630.0194189322.990364-1241102.742.59
50Brandon Nimmo33TEX1001.0000000000000.000.00
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
51Rikuu Nishida25CHW1108.0110001.00003300000001.131.00
52Alejandro Osuna23TEX145360.214140001.0001131-1000002.081.00
53James Outman29TOT372621250.16867010.98573470000002.411.81
54James Outman29MIN191110112.127270001.00022320000002.161.42
55James Outman29DET181511138.04140010.97654450000002.612.22
56Everson Pereira25CHW2108.0330001.000-1-135-10000003.381.50
57Junior Perez24CHW41112.0330001.0000-1300000002.250.75
58Wenceel PĂ©rez26DET1510582.223230001.00045640000002.501.53
59Tristan Peters26CHW746243529.1165162030.9827158-14951-22.752.19
60Ceddanne Rafaela25BOS837979707.1210205411.995915451424105-12.662.52
61Luke Raley31SEA21114.0440001.000-1-77-10000002.572.00
62VĂ­ctor Robles29SEA95554.017170001.000116101221002.831.89
63Julio RodrĂ­guez25SEA858581739.0242236421.9925823-1-2-4212.922.82
64Daniel Schneemann29CLE322212202.05956210.983425406362132.581.81
65Max Schuemann29NYY43123.1880001.000-2-98-20-2-103-1-103.092.00
66Michael Siani26BAL1003.0110001.00003600000003.001.00
67Chandler Simpson25TBR22216.0440001.00001100000002.252.00
68Jose Siri30LAA181412132.138371001.000-1-7-10000002.582.11
69Myles Straw31TOR22169140.045450001.000-1-500-1-91-1-12.892.05
70Leody Taveras27BAL605248477.1130125230.977-5-13-50-4-10-41-12.392.12
71Bryce Teodosio27LAA94342.118171001.000135111280103.832.00
72Colby Thomas25ATH1001.0000000000000.000.00
73Lane Thomas30KCR413125282.110299211.990-4-17-40-6-26-4-1-13.222.46
74Tyler Tolbert28KCR2004.0110001.00002100000002.250.50
75Taylor Trammell28HOU201911149.15351110.981-2-17-2-1-3-24-2-103.132.60
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
76Mike Trout34LAA636358542.0153148320.987243-1-4-9-4002.512.40
77Daulton Varsho29TOR746863597.21591563011.000-5-10-72-1-20-102.392.15
78Matt Vierling29DET614534402.1112111010.991-7-22-5-2-6-18-3-2-12.481.82
79Kahlil Watson23CLE42222.0440001.000140001551001.641.00

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%
1Luisangel Acuña24CHW301202011094191000000032021733.3%1314.8%171952%65%39%8966%
2Jo Adell27LAA0000000000000000000000100100.0%100.0%05072%58%38%367%
3Blaze Alexander27BAL000000000040031042010022014535.7%900.0%020343%69%40%3040%
4Javier Báez33DET00000000000000000002101003133.3%200.0%021351%69%41%2584%
5Dylan Beavers24BAL00000100100002001000002205240.0%300.0%111546%57%31%1450%
6Cody Bellinger30NYY000000000074020000000010010440.0%600.0%044058%64%38%3345%
7Henry Bolte22ATH30210210012113018808616001260653350.8%3011.5%1170254%63%42%23759%
8Lawrence Butler25ATH1010000000650930630400650311651.6%1400.0%079456%65%43%10155%
9Byron Buxton32MIN00000000002211016109409401280682841.2%4000.0%0205049%65%42%26760%
10JosĂ© Caballero29NYY1001000000100000000000000100.0%100.0%04347%67%47%560%
11Evan Carter23TEX1001000000181001530310400980492244.9%2700.0%0227450%66%41%26166%
12Cam Cauley23TEX0000000000000000000000000000005648%54%36%425%
13Denzel Clarke26ATH000000000013901020200200320301343.3%1700.0%070957%63%39%8159%
14Jonatan Clase24TOR000000000000000000000000000000667%50%17%0
15Kody Clemens30MIN00000101004100000002002108225.0%600.0%119541%61%43%2471%
16Zach Cole25HOU00000000002101000000001104250.0%200.0%014546%66%37%1771%
17Colton Cowser26BAL000001010011709007103001160411434.1%2700.0%1109850%66%38%14460%
18Jonny DeLuca27TBR000000000033010021020041012541.7%700.0%047654%68%41%5469%
19Ezequiel Duran27TEX0000000000000000000000000000001050%100%90%250%
20Jarren Duran29BOS000000000043050000000011010440.0%600.0%025559%60%36%3339%
21Nate Eaton29BOS000000000011000000000000011100.0%000.0%03345%55%33%475%
22Stuart Fairchild30CLE00000000005201000001001108337.5%500.0%018549%70%36%1644%
23Kyler Fedko26MIN0000000000000000000000000000008938%66%39%850%
24Zack Gelof26ATH000000000072062000030010017423.5%1300.0%035240%69%43%5159%
25Trent Grisham29NYY30302100012214011106219001580632539.7%3711.6%0223356%65%35%24457%
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%
26Sam Haggerty32TEX0000000000100000000000000100.0%100.0%06373%52%19%333%
27Petey Halpin24CLE0000020002870402100630540241458.3%828.3%051558%61%39%6662%
28Michael Helman30TEX00000000004104000000001009111.1%800.0%023840%67%44%3342%
29Derek Hill30CHW00000000005301000001002209555.6%400.0%025560%67%47%2969%
30Kyle Isbel29KCR20201000001680142010103001470571831.6%3900.0%0188050%64%40%23060%
31Daniel Johnson30HOU00000000003101000000000004125.0%300.0%013227%58%33%1060%
32Spencer Jones25NYY000000000053010021020000010440.0%600.0%048555%64%40%5862%
33Ryan Kreidler28MIN0000010000870500000300430201050.0%1000.0%152651%65%39%6356%
34Steven Kwan28CLE1010030210167015403105101282512141.2%2823.9%1163850%63%38%17861%
35Wyatt Langford24TEX000001000154031100040032015746.7%716.7%043858%63%39%6467%
36Joey Loperfido27HOU000000000041021021010010010330.0%700.0%021045%51%31%1729%
37Josh Lowe28LAA100101010032020000010043010550.0%500.0%131953%60%35%3465%
38Nathan Lukes31TOR000000000043031041011011013753.8%600.0%027553%68%39%4055%
39Ben Malgeri26DET0000000000000000000000000000002752%63%37%1100%
40Austin Martin27MIN00000000004200000001001106350.0%300.0%018156%66%38%2348%
41Angel MartĂ­nez24CLE000000000011000011000000022100.0%000.0%011067%65%35%1070%
42Brice Matthews24HOU00000000001190510210510620291448.3%1500.0%097146%63%42%10761%
43Zach McKinstry31DET000000000011000000000000011100.0%000.0%010464%71%37%1040%
44Parker Meadows26DET000000000043021011021021011763.6%400.0%038258%65%37%3352%
45VĂ­ctor Mesa Jr.24TBR0000000000000000000200100300.0%300.0%04978%61%57%683%
46Jake Meyers30HOU0000010010161015008302001040411741.5%2312.4%0141350%61%39%13863%
47Kameron Misner28KCR10101000005201001101001109444.4%500.0%028459%71%42%3842%
48Braden Montgomery23CHW0000000000000000000000100100.0%100.0%01030%30%20%2100%
49Cedric Mullins31TBR211003010024140154020081028150773444.2%4300.0%3263053%67%42%28866%
50Brandon Nimmo33TEX000000000000000000000000000000425%50%50%0
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%
51Rikuu Nishida25CHW000000000000000000000011011100.0%000.0%03161%68%19%250%
52Alejandro Osuna23TEX0000000000200100000000000300.0%300.0%025457%67%43%2070%
53James Outman29DET101000000043030011010022011654.5%500.0%054957%68%38%6166%
54James Outman29MIN000000000053050011000021013538.5%800.0%047751%65%40%4757%
55Everson Pereira25CHW0000000000000000100000000100.0%100.0%04468%70%55%560%
56Junior Perez24CHW000000000011000000000000011100.0%000.0%05034%68%40%650%
57Wenceel PĂ©rez26DET00000000001003001100002107228.6%500.0%034554%65%38%3468%
58Tristan Peters26CHW30301000002111012402206001990602643.3%3400.0%0228750%62%39%25763%
59Ceddanne Rafaela25BOS10100411022921018611791102013100874855.2%3722.3%2298762%66%39%34161%
60Luke Raley31SEA000000000000000000000011011100.0%000.0%05657%66%41%850%
61VĂ­ctor Robles29SEA00000000001002101000004308450.0%400.0%020642%68%39%3057%
62Julio RodrĂ­guez25SEA20200402013219128806301850231601075147.7%5510.9%3305646%66%39%38862%
63Daniel Schneemann29CLE100102010161050021120054020630.0%1315.0%184556%63%39%9462%
64Max Schuemann29NYY00000000002201002000001106350.0%300.0%010959%61%45%1942%
65Michael Siani26BAL0000000000000000000000000000001080%80%40%1100%
66Chandler Simpson25TBR0000000000000000000000100100.0%100.0%06871%68%40%580%
67Jose Siri30LAA000001010033021010040063016743.8%900.0%157256%62%38%6063%
68Myles Straw31TOR000000000097071030000031022940.9%1300.0%059549%66%41%8752%
69Leody Taveras27BAL30210201012515019314109101051672537.3%4023.0%0205846%67%42%22955%
70Bryce Teodosio27LAA00000101003201100000001005360.0%200.0%118549%63%39%2669%
71Colby Thomas25ATH000000000000000000000000000000367%67%67%0
72Lane Thomas30KCR101002101012606206206201370431944.2%2400.0%2126148%67%41%17059%
73Tyler Tolbert28KCR0000000000000000000000000000001753%53%29%250%
74Taylor Trammell28HOU1010010001830800311210960301136.7%1813.3%066340%61%40%8660%
75Mike Trout34LAA202023020038211302053011101050943234.0%6111.1%2240455%62%35%25260%
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%
76Daulton Varsho29TOR0000030210321901930740142019121914044.0%5011.1%2251950%62%37%30552%
77Matt Vierling29DET1010000000158013104107101790562035.7%3600.0%0170553%65%38%18959%
78Kahlil Watson23CLE000000000033000000000000033100.0%000.0%09848%65%39%850%
LgAvg000000000042031010010032012542.5%701.1%037852%64%39%4460%