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Ben Gamel  

Ben Gamel  

Durham Bulls (AAA) [TBA] |In Minors

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Proper Name
Benjamin Joseph Gamel
nickname
Gam
High Level
MLB (2016-2022)
Positions
LF (637) ... RF (325) ... CF (316) ... OF (87) ... DH (27) ... 1B (11)
Ht / Wt
5-11 / 177
Bats / Throws
Left / Left
age
31.015
High School
Bishop Kenny (Jacksonville,FL)
Signing Bonus
$ 500,000
draft posit
CF
MLB Debut
Service Time
6.029 (2022)
MLB Teams
NYA [7] SEA [3] MIL [2] PIT [2] CLE [1] TBA [1]
TBC#
156342
mlbam id
592325
Retrosheet
Stat Capsuleavgopsabrhhrrbisb
Season [2023]AAA (TBA).267.83010518284141
Career MLB [2016-2022].253.71019502594934019821
Speed
48
Power
51
Contact
53
XBH
50
RBIs
41
Runs
47
Hitting
61
Durability
47
Team
.505
Player Tags
Player Notes:  
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Batting Statistics
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Grid Actions:
Tips/tools for using data gri ds:

  • Manual Filter: Single-click a row to highlight in orange. Click FILTER ROWS button to show only those rows in the grid
  • Quick-Filter: Double-Click on a cell value to filter the grid on rows that have same value in same column. Click a statistic to view all values equal or higher
  • Select Rows: Single-click rows to select multiple rows for future action or visibility.
  • Hide Rows: Click the` minus sign in the first column to hide the row in the grid.
  • Restore Rows: Once rows are filtered, click RESTORE ROWS to show all rows once again
  • Sort: Click a column in the first header row to sort data by values in that column. Click again to reverse the original sort. Some cells have custom sort keys that will sort them logically instead of alphanumerically.
  • Compare/Analyze: Click multiple rows for players of interest. In addition to filtering, you can quickly COMPARE player stats or use the MULTI-PLAYER STAT VIEWER to view multiple player cards on the same page.
  • Leaders: On stat grids. Top-10 ranked statistics are highlighted in gray. #1 rank is in light green. (PREMIUM setting)
  • Export to CSV: Click CSV to convert the full grid into a comma-delimeted display. From there, you can copy/paste to another application.
year team name league level org age   # pos link   g ab   r   h 2b 3b hr rbi sb cs bb so hbp sh sf iw gdp tb pa xbh 1b avg obp slg ops secA iso babip bb% so% so/bb ab/hr
2010 Gulf Coast Yankees GCL Rk nya 18 6 rf -- 7 25 3 7 1 0 0 0 1 2 3 8 0 0 0 0 0 8 28 1 6 .280 .357 .320 .677 .120 .040 .412 10.71 28.57 2.67 --
2011 Staten Island Yankees NYPL A- nya 19 24 rf -- 55 190 20 55 19 1 2 30 7 2 24 50 3 0 3 0 2 82 220 22 33 .289 .373 .432 .804 .295 .142 .376 10.91 22.73 2.08 95.00
2012 Charleston (sc) RiverDogs SAL A nya 20 3 cf-lf -- 110 444 56 136 23 5 2 61 19 10 23 71 4 0 5 0 10 175 476 30 106 .306 .342 .394 .737 .160 .088 .356 4.83 14.92 3.09 222.00
2013 Tampa Yankees FSL A+ nya 21 6 lf -- 96 364 50 99 28 4 3 49 21 5 48 77 1 3 7 2 7 144 423 35 64 .272 .352 .396 .748 .299 .124 .330 11.35 18.20 1.60 121.33
2013 Trenton Thunder East AA nya 21 4 rf-cf -- 16 67 5 16 4 0 1 5 1 0 4 18 0 1 0 0 0 23 72 5 11 .239 .282 .343 .625 .179 .104 .313 5.56 25.00 4.50 67.00
2014 Trenton Thunder East AA nya 22 8 lf -- 131 544 58 142 31 3 2 51 13 5 36 88 2 1 3 0 10 185 586 36 106 .261 .308 .340 .648 .160 .079 .306 6.14 15.02 2.44 272.00
2015 Scranton/Wilkes-Barre RailRiders IL AAA nya 23 6 cf log 129 500 77 150 28 14 10 64 13 5 46 108 1 1 3 5 9 236 551 52 98 .300 .358 .472 .830 .280 .172 .364 8.35 19.60 2.35 50.00
2016 Scranton/Wilkes-Barre RailRiders IL AAA nya 24 6 cf log 116 483 80 149 26 5 6 51 19 8 43 94 2 1 4 3 7 203 533 37 112 .308 .365 .420 .785 .224 .112 .370 8.07 17.64 2.19 80.50
2016 New York Yankees AL MLB nya 24 64 rf log 6 8 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 10 0 1 .125 .200 .125 .325 .125 .000 .125 10.00 10.00 1.00 --
2016 Seattle Mariners AL MLB sea 24 16 rf log 27 40 8 8 2 0 1 5 0 0 5 15 0 0 2 0 0 13 47 3 5 .200 .277 .325 .602 .250 .125 .269 10.64 31.91 3.00 40.00
2017 Tacoma Rainiers PCL AAA sea 25 2 rf-cf log 18 59 6 17 1 1 1 8 1 1 12 11 2 0 1 0 2 23 74 3 14 .288 .419 .390 .809 .305 .102 .333 16.22 14.86 0.92 59.00
2017 Seattle Mariners AL MLB sea 25 16 lf-rf log 134 509 68 140 27 5 11 59 4 1 36 122 1 1 3 1 8 210 550 43 97 .275 .322 .413 .735 .214 .138 .340 6.55 22.18 3.39 46.27
2018 Modesto Nuts Calif A+ sea 26 -- lf log 5 17 6 5 1 0 0 0 1 1 4 2 0 0 0 0 0 6 21 1 4 .294 .429 .353 .782 .294 .059 .333 19.05 9.52 0.50 --
2018 Tacoma Rainiers PCL AAA sea 26 -- lf-cf log 21 83 19 29 8 3 1 16 4 0 10 12 0 0 1 1 1 46 94 12 17 .349 .415 .554 .969 .373 .205 .394 10.64 12.77 1.20 83.00
2018 Seattle Mariners AL MLB sea 26 16 lf-rf log 101 257 37 70 14 4 1 19 7 3 31 61 4 0 1 1 4 95 293 19 51 .272 .358 .370 .728 .233 .097 .352 10.58 20.82 1.97 257.00
2019 San Antonio Missions PCL AAA mil 27 -- rf-lf log 4 14 7 4 0 0 1 2 1 0 4 3 1 0 0 0 0 7 19 1 3 .286 .474 .500 .974 .571 .214 .300 21.05 15.79 0.75 14.00
2019 Milwaukee Brewers NL MLB mil 27 16 lf log 134 311 47 77 18 0 7 33 2 2 40 104 3 0 2 2 0 116 356 25 52 .248 .337 .373 .710 .254 .125 .347 11.24 29.21 2.60 44.43
2020 Milwaukee Brewers NL MLB mil 28 16 rf log 40 114 13 27 8 1 3 10 0 2 13 39 0 0 0 0 4 46 127 12 15 .237 .315 .404 .718 .263 .167 .333 10.24 30.71 3.00 38.00
2021 Columbus Clippers IL2 AAA cle 29 28 lf log 1 5 1 3 1 0 0 0 1 0 0 0 0 0 0 0 0 4 5 1 2 .600 .600 .800 1.400 .400 .200 .600 0.00 0.00 -- --
2021 Cleveland Indians AL MLB cle 29 18 cf log 11 14 1 1 1 0 0 0 0 0 3 6 0 0 0 0 1 2 17 1 0 .071 .235 .143 .378 .286 .071 .125 17.65 35.29 2.00 --
2021 Pittsburgh Pirates NL MLB pit 29 18 lf log 111 326 42 83 17 3 8 26 3 6 48 99 3 2 4 2 6 130 383 28 55 .255 .352 .399 .750 .282 .144 .336 12.53 25.85 2.06 40.75
2022 Indianapolis Indians IL2 AAA pit 30 18 lf-rf log 8 31 8 7 1 0 1 3 0 0 2 6 2 0 0 0 0 11 35 2 5 .226 .314 .355 .669 .194 .129 .250 5.71 17.14 3.00 31.00
2022 Pittsburgh Pirates NL MLB pit 30 18 lf-rf log 115 371 42 86 20 2 9 46 5 1 48 98 3 0 1 2 5 137 423 31 55 .232 .324 .369 .693 .278 .137 .291 11.35 23.17 2.04 41.22
2023 Durham Bulls IL2 AAA tba 30 -- rf log 31 105 18 28 7 0 4 14 1 1 22 31 0 0 1 0 0 47 128 11 17 .267 .391 .448 .838 .390 .181 .338 17.19 24.22 1.41 26.25
2010 Rk Total -- NYA -- -- -- -- 7 25 3 7 1 0 0 0 1 2 3 8 0 0 0 0 0 8 28 1 6 .280 .357 .320 .677 .120 .040 .412 10.71 28.57 2.67 --
2011 A- Total -- NYA -- -- -- -- 55 190 20 55 19 1 2 30 7 2 24 50 3 0 3 0 2 82 220 22 33 .289 .373 .432 .804 .295 .142 .376 10.91 22.73 2.08 95.00
2012 A Total -- NYA -- -- -- -- 110 444 56 136 23 5 2 61 19 10 23 71 4 0 5 0 10 175 476 30 106 .306 .342 .394 .737 .160 .088 .356 4.83 14.92 3.09 222.00
2013 A+ / AA Total -- NYA -- -- -- -- 112 431 55 115 32 4 4 54 22 5 52 95 1 4 7 2 7 167 495 40 75 .267 .342 .387 .730 .281 .121 .327 10.51 19.19 1.83 107.75
2014 AA Total -- NYA -- -- -- -- 131 544 58 142 31 3 2 51 13 5 36 88 2 1 3 0 10 185 586 36 106 .261 .308 .340 .648 .160 .079 .306 6.14 15.02 2.44 272.00
2015 AAA Total -- NYA -- -- -- -- 129 500 77 150 28 14 10 64 13 5 46 108 1 1 3 5 9 236 551 52 98 .300 .358 .472 .830 .280 .172 .364 8.35 19.60 2.35 50.00
2016 AAA Total -- NYA -- -- -- -- 116 483 80 149 26 5 6 51 19 8 43 94 2 1 4 3 7 203 533 37 112 .308 .365 .420 .785 .224 .112 .370 8.07 17.64 2.19 80.50
2016 MLB Total -- SEA,NYA -- -- -- -- 33 48 9 9 2 0 1 5 0 0 6 16 0 0 3 0 1 14 57 3 6 .188 .263 .292 .555 .229 .104 .235 10.53 28.07 2.67 48.00
2017 AAA Total -- SEA -- -- -- -- 18 59 6 17 1 1 1 8 1 1 12 11 2 0 1 0 2 23 74 3 14 .288 .419 .390 .809 .305 .102 .333 16.22 14.86 0.92 59.00
2017 MLB Total -- SEA -- -- -- -- 134 509 68 140 27 5 11 59 4 1 36 122 1 1 3 1 8 210 550 43 97 .275 .322 .413 .735 .214 .138 .340 6.55 22.18 3.39 46.27
2018 AAA / A+ Total -- SEA -- -- -- -- 26 100 25 34 9 3 1 16 5 1 14 14 0 0 1 1 1 52 115 13 21 .340 .417 .520 .937 .360 .180 .384 12.17 12.17 1.00 100.00
2018 MLB Total -- SEA -- -- -- -- 101 257 37 70 14 4 1 19 7 3 31 61 4 0 1 1 4 95 293 19 51 .272 .358 .370 .728 .233 .097 .352 10.58 20.82 1.97 257.00
2019 AAA Total -- MIL -- -- -- -- 4 14 7 4 0 0 1 2 1 0 4 3 1 0 0 0 0 7 19 1 3 .286 .474 .500 .974 .571 .214 .300 21.05 15.79 0.75 14.00
2019 MLB Total -- MIL -- -- -- -- 134 311 47 77 18 0 7 33 2 2 40 104 3 0 2 2 0 116 356 25 52 .248 .337 .373 .710 .254 .125 .347 11.24 29.21 2.60 44.43
2020 MLB Total -- MIL -- -- -- -- 40 114 13 27 8 1 3 10 0 2 13 39 0 0 0 0 4 46 127 12 15 .237 .315 .404 .718 .263 .167 .333 10.24 30.71 3.00 38.00
2021 AAA Total -- CLE -- -- -- -- 1 5 1 3 1 0 0 0 1 0 0 0 0 0 0 0 0 4 5 1 2 .600 .600 .800 1.400 .400 .200 .600 0.00 0.00 -- --
2021 MLB Total -- CLE,PIT -- -- -- -- 122 340 43 84 18 3 8 26 3 6 51 105 3 2 4 2 7 132 400 29 55 .247 .347 .388 .735 .282 .141 .329 12.75 26.25 2.06 42.50
2022 AAA Total -- PIT -- -- -- -- 8 31 8 7 1 0 1 3 0 0 2 6 2 0 0 0 0 11 35 2 5 .226 .314 .355 .669 .194 .129 .250 5.71 17.14 3.00 31.00
2022 MLB Total -- PIT -- -- -- -- 115 371 42 86 20 2 9 46 5 1 48 98 3 0 1 2 5 137 423 31 55 .232 .324 .369 .693 .278 .137 .291 11.35 23.17 2.04 41.22
2023 AAA Total -- TBA -- -- -- -- 31 105 18 28 7 0 4 14 1 1 22 31 0 0 1 0 0 47 128 11 17 .267 .391 .448 .838 .390 .181 .338 17.19 24.22 1.41 26.25
Total MLB (7 yrs) -- MLB -- -- -- -- -- 679 1950 259 493 107 15 40 198 21 15 225 545 14 3 14 8 29 750 2206 162 331 .253 .332 .385 .717 .250 .132 .328 10.20 24.71 2.42 48.75
Total Minors (13 yrs) -- Minors -- -- -- -- -- 748 2931 414 847 179 36 34 354 103 40 281 579 18 7 28 11 48 1200 3265 249 598 .289 .352 .409 .761 .238 .120 .347 8.61 17.73 2.06 86.21
Total AL (4 yrs) -- AL -- -- -- -- -- 279 828 115 220 44 9 13 83 11 4 76 205 5 1 7 2 14 321 917 66 154 .266 .329 .388 .716 .222 .122 .335 8.29 22.36 2.70 63.69
Total NL (4 yrs) -- NL -- -- -- -- -- 400 1122 144 273 63 6 27 115 10 11 149 340 9 2 7 6 15 429 1289 96 177 .243 .335 .382 .717 .271 .139 .323 11.56 26.38 2.28 41.56
Total AAA (8 yrs) -- AAA -- -- -- -- -- 328 1280 216 387 72 23 24 158 40 15 139 265 8 2 10 9 19 577 1439 119 268 .302 .372 .451 .822 .277 .148 .363 9.66 18.42 1.91 53.33
Total AA (2 yrs) -- AA -- -- -- -- -- 147 611 63 158 35 3 3 56 14 5 40 106 2 2 3 0 10 208 658 41 117 .259 .305 .340 .645 .162 .082 .307 6.08 16.11 2.65 203.67
Total A+ (2 yrs) -- A+ -- -- -- -- -- 101 381 56 104 29 4 3 49 22 6 52 79 1 3 7 2 7 150 444 36 68 .273 .356 .394 .750 .299 .121 .330 11.71 17.79 1.52 127.00
Total A (1 yrs) -- A -- -- -- -- -- 110 444 56 136 23 5 2 61 19 10 23 71 4 0 5 0 10 175 476 30 106 .306 .342 .394 .737 .160 .088 .356 4.83 14.92 3.09 222.00
Total A- (1 yrs) -- A- -- -- -- -- -- 55 190 20 55 19 1 2 30 7 2 24 50 3 0 3 0 2 82 220 22 33 .289 .373 .432 .804 .295 .142 .376 10.91 22.73 2.08 95.00
Total Rk (1 yrs) -- Rk -- -- -- -- -- 7 25 3 7 1 0 0 0 1 2 3 8 0 0 0 0 0 8 28 1 6 .280 .357 .320 .677 .120 .040 .412 10.71 28.57 2.67 --
Other Batting
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Grid Actions:
Tips/tools for using data gri ds:

  • Manual Filter: Single-click a row to highlight in orange. Click FILTER ROWS button to show only those rows in the grid
  • Quick-Filter: Double-Click on a cell value to filter the grid on rows that have same value in same column. Click a statistic to view all values equal or higher
  • Select Rows: Single-click rows to select multiple rows for future action or visibility.
  • Hide Rows: Click the` minus sign in the first column to hide the row in the grid.
  • Restore Rows: Once rows are filtered, click RESTORE ROWS to show all rows once again
  • Sort: Click a column in the first header row to sort data by values in that column. Click again to reverse the original sort. Some cells have custom sort keys that will sort them logically instead of alphanumerically.
  • Compare/Analyze: Click multiple rows for players of interest. In addition to filtering, you can quickly COMPARE player stats or use the MULTI-PLAYER STAT VIEWER to view multiple player cards on the same page.
  • Leaders: On stat grids. Top-10 ranked statistics are highlighted in gray. #1 rank is in light green. (PREMIUM setting)
  • Export to CSV: Click CSV to convert the full grid into a comma-delimeted display. From there, you can copy/paste to another application.
year team name league level age   g ab   r   h 2b 3b hr rbi sb cs bb so hbp sh sf iw gdp tb pa xbh 1b avg obp slg ops secA iso babip bb% so% so/bb ab/hr
2012 New York Yankees MLB Spring Training Spring 20 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 .000 .000 .000 .000 .000 .000 -- 0.00 100.00 -- --
2013 New York Yankees MLB Spring Training Spring 21 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 .000 .000 .000 .000 .000 .000 -- 0.00 100.00 -- --
2014 New York Yankees MLB Spring Training Spring 22 6 6 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 6 0 1 .167 .167 .167 .333 .000 .000 .167 0.00 0.00 -- --
2015 New York Yankees MLB Spring Training Spring 23 7 7 1 1 0 0 0 1 0 0 0 2 0 0 1 0 0 1 8 0 1 .143 .125 .143 .268 .000 .000 .167 0.00 25.00 -- --
2016 New York Yankees MLB Spring Training Spring 24 18 28 6 5 1 0 0 1 1 0 2 7 0 0 0 0 0 6 30 1 4 .179 .233 .214 .448 .143 .036 .238 6.67 23.33 3.50 --
2017 Seattle Mariners MLB Spring Training Spring 25 29 62 12 16 4 1 3 10 0 2 5 17 1 0 0 0 2 31 68 8 8 .258 .324 .500 .824 .290 .242 .310 7.35 25.00 3.40 20.67
2018 Seattle Mariners MLB Spring Training Spring 26 4 12 2 3 0 1 0 1 0 0 0 2 0 0 0 0 0 5 12 1 2 .250 .250 .417 .667 .167 .167 .300 0.00 16.67 -- --
2019 Milwaukee Brewers Wild Card Game Playoffs 27 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 .000 .000 .000 .000 .000 .000 .000 0.00 0.00 -- --
2019 Milwaukee Brewers MLB Spring Training Spring 27 19 53 11 14 2 0 3 11 0 2 5 14 1 0 0 0 1 25 59 5 9 .264 .339 .472 .811 .264 .208 .306 8.47 23.73 2.80 17.67
2020 Milwaukee Brewers MLB Spring Training Spring 28 11 29 4 6 2 1 0 2 1 0 2 5 0 0 0 0 1 10 31 3 3 .207 .258 .345 .603 .241 .138 .250 6.45 16.13 2.50 --
2020 Milwaukee Brewers Wild Card Game Playoffs 28 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 .000 .000 .000 .000 .000 .000 .000 0.00 0.00 -- --
2021 Cleveland Baseball Team MLB Spring Training Spring 29 18 41 7 7 3 1 0 4 1 0 7 11 0 0 0 0 1 12 48 4 3 .171 .292 .293 .584 .317 .122 .233 14.58 22.92 1.57 --
2022 Pittsburgh Pirates MLB Spring Training Spring 30 9 23 4 6 2 0 2 3 0 0 1 7 0 0 0 0 1 14 24 4 2 .261 .292 .609 .900 .391 .348 .286 4.17 29.17 7.00 11.50
2023 Tampa Bay Rays MLB Spring Training Spring 31 15 30 0 4 3 0 0 2 0 0 2 12 1 0 0 0 0 7 33 3 1 .133 .212 .233 .445 .167 .100 .222 6.06 36.36 6.00 --
-- Totals -- Playoffs 27 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 .000 .000 .000 .000 .000 .000 .000 0.00 0.00 -- --
-- Totals -- Spring 22 138 293 47 63 17 4 8 35 3 4 24 79 3 0 1 0 6 112 321 29 34 .215 .280 .382 .663 .246 .167 .266 7.48 24.61 3.29 36.63
Fielding Statistics
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Grid Actions:
Tips/tools for using data gri ds:

  • Manual Filter: Single-click a row to highlight in orange. Click FILTER ROWS button to show only those rows in the grid
  • Quick-Filter: Double-Click on a cell value to filter the grid on rows that have same value in same column. Click a statistic to view all values equal or higher
  • Select Rows: Single-click rows to select multiple rows for future action or visibility.
  • Hide Rows: Click the` minus sign in the first column to hide the row in the grid.
  • Restore Rows: Once rows are filtered, click RESTORE ROWS to show all rows once again
  • Sort: Click a column in the first header row to sort data by values in that column. Click again to reverse the original sort. Some cells have custom sort keys that will sort them logically instead of alphanumerically.
  • Compare/Analyze: Click multiple rows for players of interest. In addition to filtering, you can quickly COMPARE player stats or use the MULTI-PLAYER STAT VIEWER to view multiple player cards on the same page.
  • Leaders: On stat grids. Top-10 ranked statistics are highlighted in gray. #1 rank is in light green. (PREMIUM setting)
  • Export to CSV: Click CSV to convert the full grid into a comma-delimeted display. From there, you can copy/paste to another application.
year team name league level mlb age pos   g gs inn po   a   e dp tc tsc sb cs sb% fpct rfg rfi rf9i tm shr pl shr tm rk
2010 Gulf Coast Yankees GCL Rk nya 18 rf 6 0 0.0 7 0 1 0 8 7 0 0 -- .875 1.2 -- -- 10.7 85.7 5
2011 Staten Island Yankees NYPL A- nya 19 lf 1 0 0.0 1 0 0 0 1 1 0 0 -- 1.000 1.0 -- -- 1.4 1.8 5
2011 Staten Island Yankees NYPL A- nya 19 rf 50 0 0.0 81 5 2 1 88 86 0 0 -- .977 1.7 -- -- 68.5 90.9 1
2012 Charleston (sc) RiverDogs SAL A nya 20 lf 41 0 0.0 62 3 1 0 66 65 0 0 -- .985 1.6 -- -- 30.1 37.3 1
2012 Charleston (sc) RiverDogs SAL A nya 20 cf 64 0 0.0 125 4 3 1 132 129 0 0 -- .977 2.0 -- -- 47.1 58.2 2
2013 Trenton Thunder East AA nya 21 lf 4 0 0.0 7 2 0 0 9 9 0 0 -- 1.000 2.3 -- -- 2.8 25.0 6
2013 Trenton Thunder East AA nya 21 cf 5 0 0.0 18 1 0 0 19 19 0 0 -- 1.000 3.8 -- -- 3.5 31.3 5
2013 Trenton Thunder East AA nya 21 rf 6 0 0.0 12 0 1 0 13 12 0 0 -- .923 2.0 -- -- 4.3 37.5 6
2013 Tampa Yankees FSL A+ nya 21 lf 81 0 0.0 138 2 1 0 141 140 0 0 -- .993 1.7 -- -- 59.6 84.4 1
2013 Tampa Yankees FSL A+ nya 21 cf 14 0 0.0 29 0 1 0 30 29 0 0 -- .967 2.1 -- -- 10.3 14.6 3
2014 Trenton Thunder East AA nya 22 lf 99 0 0.0 152 3 3 1 158 155 0 0 -- .981 1.6 -- -- 69.7 75.6 1
2014 Trenton Thunder East AA nya 22 cf 16 0 0.0 28 3 0 1 31 31 0 0 -- 1.000 1.9 -- -- 11.3 12.2 3
2015 Scranton/Wilkes-Barre RailRiders IL AAA nya 23 lf 33 0 0.0 68 2 1 1 71 70 0 0 -- .986 2.1 -- -- 22.9 25.6 2
2015 Scranton/Wilkes-Barre RailRiders IL AAA nya 23 cf 74 0 0.0 181 8 4 2 193 189 0 0 -- .979 2.6 -- -- 51.4 57.4 1
2015 Scranton/Wilkes-Barre RailRiders IL AAA nya 23 rf 12 0 0.0 27 3 0 0 30 30 0 0 -- 1.000 2.5 -- -- 8.3 9.3 4
2016 Seattle Mariners AL MLB sea 24 lf 2 2 15.0 4 0 0 0 4 4 0 0 -- 1.000 2.0 0.27 2.40 1.2 7.4 8
2016 Seattle Mariners AL MLB sea 24 cf 1 1 9.0 6 0 0 0 6 6 0 0 -- 1.000 6.0 0.67 6.00 0.6 3.7 4
2016 New York Yankees AL MLB nya 24 rf 5 2 24.0 3 0 0 0 3 3 0 0 -- 1.000 0.6 0.12 1.12 3.1 83.3 7
2016 Seattle Mariners AL MLB sea 24 rf 24 3 84.0 16 0 0 0 16 16 0 0 -- 1.000 0.7 0.19 1.71 14.8 88.9 4
2016 Scranton/Wilkes-Barre RailRiders IL AAA nya 24 lf 25 0 0.0 39 0 0 0 39 39 0 0 -- 1.000 1.6 -- -- 17.5 21.6 3
2016 Scranton/Wilkes-Barre RailRiders IL AAA nya 24 cf 70 0 0.0 129 5 2 0 136 134 0 0 -- .985 1.9 -- -- 49.0 60.3 1
2016 Scranton/Wilkes-Barre RailRiders IL AAA nya 24 rf 9 0 0.0 13 0 0 0 13 13 0 0 -- 1.000 1.4 -- -- 6.3 7.8 4
2017 Seattle Mariners AL MLB sea 25 1b 1 0 1.0 1 0 0 0 1 1 0 0 -- 1.000 1.0 1.00 9.00 0.6 0.7 7
2017 Seattle Mariners AL MLB sea 25 lf 85 82 712.0 130 6 4 2 140 136 0 0 -- .971 1.6 0.19 1.72 52.5 63.4 1
2017 Seattle Mariners AL MLB sea 25 rf 50 45 421.2 108 1 1 1 110 109 0 0 -- .991 2.2 0.26 2.33 30.9 37.3 2
2017 Tacoma Rainiers PCL AAA sea 25 lf 1 0 0.0 4 0 0 0 4 4 0 0 -- 1.000 4.0 -- -- 0.7 5.6 9
2017 Tacoma Rainiers PCL AAA sea 25 cf 7 0 0.0 7 0 0 0 7 7 0 0 -- 1.000 1.0 -- -- 4.9 38.9 6
2017 Tacoma Rainiers PCL AAA sea 25 rf 11 0 0.0 15 0 0 0 15 15 0 0 -- 1.000 1.4 -- -- 7.7 61.1 5
2018 Seattle Mariners AL MLB sea 26 1b 1 0 1.0 1 1 0 0 2 2 0 0 -- 1.000 2.0 2.00 18.00 0.6 1.0 6
2018 Seattle Mariners AL MLB sea 26 lf 48 39 362.2 74 1 1 1 76 75 0 0 -- .987 1.6 0.21 1.86 29.6 47.5 2
2018 Seattle Mariners AL MLB sea 26 cf 4 3 26.0 9 1 1 0 11 10 0 0 -- .909 2.5 0.38 3.46 2.5 4.0 5
2018 Seattle Mariners AL MLB sea 26 rf 40 27 234.2 50 2 1 0 53 52 0 0 -- .981 1.3 0.22 2.00 24.7 39.6 2
2018 Seattle Mariners AL MLB sea 26 of 87 69 623.1 133 4 3 1 140 137 0 0 -- .979 1.6 0.22 1.98 53.7 86.1 3
2018 Seattle Mariners AL MLB sea 26 dh 6 0 0.0 0 0 0 0 0 0 0 0 -- .000 0.0 -- -- 3.7 5.9 3
2018 Tacoma Rainiers PCL AAA sea 26 lf 8 0 0.0 10 0 1 0 11 10 0 0 -- .909 1.3 -- -- 5.8 38.1 6
2018 Tacoma Rainiers PCL AAA sea 26 cf 6 0 0.0 20 1 0 1 21 21 0 0 -- 1.000 3.5 -- -- 4.3 28.6 5
2018 Tacoma Rainiers PCL AAA sea 26 rf 1 0 0.0 2 0 0 0 2 2 0 0 -- 1.000 2.0 -- -- 0.7 4.8 6
2018 Modesto Nuts Calif A+ sea 26 lf 2 0 0.0 5 0 0 0 5 5 0 0 -- 1.000 2.5 -- -- 1.4 40.0 12
2019 Milwaukee Brewers NL MLB mil 27 lf 70 36 396.0 75 1 0 0 76 76 0 0 -- 1.000 1.1 0.19 1.73 43.2 52.2 2
2019 Milwaukee Brewers NL MLB mil 27 cf 22 15 137.0 40 0 0 0 40 40 0 0 -- 1.000 1.8 0.29 2.63 13.6 16.4 2
2019 Milwaukee Brewers NL MLB mil 27 rf 23 15 161.2 33 1 1 1 35 34 0 0 -- .971 1.5 0.21 1.90 14.2 17.2 2
2019 San Antonio Missions PCL AAA mil 27 lf 1 0 0.0 1 0 0 0 1 1 0 0 -- 1.000 1.0 -- -- 0.7 25.0 12
2019 San Antonio Missions PCL AAA mil 27 cf 1 0 0.0 2 0 0 0 2 2 0 0 -- 1.000 2.0 -- -- 0.7 25.0 7
2019 San Antonio Missions PCL AAA mil 27 rf 1 0 0.0 4 0 0 0 4 4 0 0 -- 1.000 4.0 -- -- 0.7 25.0 7
2020 Milwaukee Brewers NL MLB mil 28 lf 1 1 9.0 3 0 0 0 3 3 0 0 -- 1.000 3.0 0.33 3.00 1.7 2.5 7
2020 Milwaukee Brewers NL MLB mil 28 cf 11 10 85.0 15 0 0 0 15 15 0 0 -- 1.000 1.4 0.18 1.59 18.3 27.5 2
2020 Milwaukee Brewers NL MLB mil 28 rf 27 20 187.0 32 1 0 0 33 33 0 0 -- 1.000 1.2 0.18 1.59 45.0 67.5 1
2021 Pittsburgh Pirates NL MLB pit 29 1b 4 0 9.0 11 0 0 3 11 11 0 0 -- 1.000 2.8 1.22 11.00 2.5 3.6 7
2021 Cleveland Indians AL MLB cle 29 lf 1 0 2.0 0 0 0 0 0 0 0 0 -- .000 0.0 0.00 0.00 0.6 9.1 8
2021 Pittsburgh Pirates NL MLB pit 29 lf 72 66 559.1 139 1 0 0 140 140 0 0 -- 1.000 1.9 0.25 2.25 44.4 64.9 1
2021 Cleveland Indians AL MLB cle 29 cf 9 3 38.0 5 0 0 0 5 5 0 0 -- 1.000 0.6 0.13 1.18 5.6 81.8 6
2021 Pittsburgh Pirates NL MLB pit 29 cf 11 8 70.0 22 0 0 0 22 22 0 0 -- 1.000 2.0 0.31 2.83 6.8 9.9 3
2021 Pittsburgh Pirates NL MLB pit 29 rf 18 12 118.0 23 2 0 0 25 25 0 0 -- 1.000 1.4 0.21 1.91 11.1 16.2 3
2021 Columbus Clippers IL2 AAA cle 29 lf 1 0 0.0 0 0 0 0 0 0 0 0 -- .000 0.0 -- -- 0.8 100.0 11
2022 Pittsburgh Pirates NL MLB pit 30 1b 5 5 42.0 43 1 1 5 45 44 0 0 -- .978 8.8 1.05 9.43 3.1 4.3 7
2022 Pittsburgh Pirates NL MLB pit 30 lf 57 52 442.0 82 1 1 0 84 83 0 0 -- .988 1.5 0.19 1.69 35.2 49.6 1
2022 Pittsburgh Pirates NL MLB pit 30 cf 1 0 1.0 1 0 0 0 1 1 0 0 -- 1.000 1.0 1.00 9.00 0.6 0.9 7
2022 Pittsburgh Pirates NL MLB pit 30 rf 39 25 240.0 57 1 0 0 58 58 0 0 -- 1.000 1.5 0.24 2.17 24.1 33.9 2
2022 Pittsburgh Pirates NL MLB pit 30 dh 21 21 0.0 0 0 0 0 0 0 0 0 -- .000 0.0 -- -- 13.0 18.3 2
2022 Indianapolis Indians IL2 AAA pit 30 lf 4 0 32.0 4 0 0 0 4 4 0 0 -- 1.000 1.0 0.12 1.12 2.7 50.0 12
2022 Indianapolis Indians IL2 AAA pit 30 rf 3 0 19.0 6 1 1 1 8 7 0 0 -- .875 2.3 0.37 3.32 2.0 37.5 10
Total MLB (4 yrs) -- MLB -- -- 1b 11 5 53 56 2 1 8 59 58 0 0 -- .983 5.3 1.09 9.85 -- -- --
Total MLB (7 yrs) -- MLB -- -- lf 336 278 2,497 507 10 6 3 523 517 0 0 -- .989 1.5 0.21 1.86 -- -- --
Total MLB (6 yrs) -- MLB -- -- cf 59 40 366 98 1 1 0 100 99 0 0 -- .990 1.7 0.27 2.43 -- -- --
Total MLB (7 yrs) -- MLB -- -- rf 226 149 1,470 322 8 3 2 333 330 0 0 -- .991 1.5 0.22 2.02 -- -- --
Total MLB (1 yrs) -- MLB -- -- of 87 69 623 133 4 3 1 140 137 0 0 -- .979 1.6 0.22 1.98 -- -- --
Total MLB (2 yrs) -- MLB -- -- dh 27 21 0 0 0 0 0 0 0 0 0 -- -- 0.0 -- -- -- -- --
Total AAA (7 yrs) -- AAA -- -- lf 73 0 32 126 2 2 1 130 128 0 0 -- .985 1.8 4.00 36.00 -- -- --
Total AAA (5 yrs) -- AAA -- -- cf 158 0 0 339 14 6 3 359 353 0 0 -- .983 2.2 -- -- -- -- --
Total AAA (6 yrs) -- AAA -- -- rf 37 0 19 67 4 1 1 72 71 0 0 -- .986 1.9 3.74 33.63 -- -- --
Total AA (2 yrs) -- AA -- -- lf 103 0 0 159 5 3 1 167 164 0 0 -- .982 1.6 -- -- -- -- --
Total AA (2 yrs) -- AA -- -- cf 21 0 0 46 4 0 1 50 50 0 0 -- 1.000 2.4 -- -- -- -- --
Total AA (1 yrs) -- AA -- -- rf 6 0 0 12 0 1 0 13 12 0 0 -- .923 2.0 -- -- -- -- --
Total A+ (2 yrs) -- A+ -- -- lf 83 0 0 143 2 1 0 146 145 0 0 -- .993 1.7 -- -- -- -- --
Total A+ (1 yrs) -- A+ -- -- cf 14 0 0 29 0 1 0 30 29 0 0 -- .967 2.1 -- -- -- -- --
Total A (1 yrs) -- A -- -- lf 41 0 0 62 3 1 0 66 65 0 0 -- .985 1.6 -- -- -- -- --
Total A (1 yrs) -- A -- -- cf 64 0 0 125 4 3 1 132 129 0 0 -- .977 2.0 -- -- -- -- --
Total A- (1 yrs) -- A- -- -- lf 1 0 0 1 0 0 0 1 1 0 0 -- 1.000 1.0 -- -- -- -- --
Total A- (1 yrs) -- A- -- -- rf 50 0 0 81 5 2 1 88 86 0 0 -- .977 1.7 -- -- -- -- --
Total Rk (1 yrs) -- Rk -- -- rf 6 0 0 7 0 1 0 8 7 0 0 -- .875 1.2 -- -- -- -- --
Yearly Positional Grid
*Reload page to restore grid
Grid Actions:
Tips/tools for using data gri ds:

  • Manual Filter: Single-click a row to highlight in orange. Click FILTER ROWS button to show only those rows in the grid
  • Quick-Filter: Double-Click on a cell value to filter the grid on rows that have same value in same column. Click a statistic to view all values equal or higher
  • Select Rows: Single-click rows to select multiple rows for future action or visibility.
  • Hide Rows: Click the` minus sign in the first column to hide the row in the grid.
  • Restore Rows: Once rows are filtered, click RESTORE ROWS to show all rows once again
  • Sort: Click a column in the first header row to sort data by values in that column. Click again to reverse the original sort. Some cells have custom sort keys that will sort them logically instead of alphanumerically.
  • Compare/Analyze: Click multiple rows for players of interest. In addition to filtering, you can quickly COMPARE player stats or use the MULTI-PLAYER STAT VIEWER to view multiple player cards on the same page.
  • Leaders: On stat grids. Top-10 ranked statistics are highlighted in gray. #1 rank is in light green. (PREMIUM setting)
  • Export to CSV: Click CSV to convert the full grid into a comma-delimeted display. From there, you can copy/paste to another application.
year category pos p pos c pos 1b pos 2b pos 3b pos ss pos lf pos cf pos rf pos of pos dh
2010 Minor 0 0 0 0 0 0 0 0 6 0 0
2011 Minor 0 0 0 0 0 0 1 0 50 0 0
2012 Minor 0 0 0 0 0 0 41 64 0 0 0
2013 Minor 0 0 0 0 0 0 85 19 6 0 0
2014 Minor 0 0 0 0 0 0 99 16 0 0 0
2015 Minor 0 0 0 0 0 0 33 74 12 0 0
2016 Minor 0 0 0 0 0 0 25 70 9 0 0
2016 MLB 0 0 0 0 0 0 2 1 29 0 0
2017 Minor 0 0 0 0 0 0 1 7 11 0 0
2017 MLB 0 0 1 0 0 0 85 0 50 0 0
2018 Minor 0 0 0 0 0 0 10 6 1 0 0
2018 MLB 0 0 1 0 0 0 48 4 40 87 6
2019 Minor 0 0 0 0 0 0 1 1 1 0 0
2019 MLB 0 0 0 0 0 0 70 22 23 0 0
2020 MLB 0 0 0 0 0 0 1 11 27 0 0
2021 Minor 0 0 0 0 0 0 1 0 0 0 0
2021 MLB 0 0 4 0 0 0 73 20 18 0 0
2022 Minor 0 0 0 0 0 0 4 0 3 0 0
2022 MLB 0 0 5 0 0 0 57 1 39 0 21
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