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TBC

Steven Sensley  

Steven Sensley  

|Free Agent

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Proper Name
Steven Joseph Sensley
High Level
A+
Positions
RF (118) ... 1B (99) ... LF (3)
Ht / Wt
6-1 / 220
Bats / Throws
Left / Left
age
28.256
place
Baton Rouge,Louisiana
High School
University (Baton Rouge,LA)
Signing Bonus
$ 125,000
draft posit
RF
MLB Teams
NYA [4]
TBC#
181139
mlbam id
642062
Speed
33
Power
85
Contact
28
XBH
89
RBIs
68
Runs
44
Hitting
33
Durability
59
Team
.557
Player Tags
Player Notes:  
The TBC Data Store allows you to purchase some standard datasets available on the site or even request a custom extract of your own design!
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
2015 LSU-Eunice MLJCC NJCAA -- 19 -- of -- 57 203 61 76 11 4 21 80 13 4 35 38 6 0 7 0 12 158 251 36 40 .374 .466 .778 1.244 .621 .404 .364 13.94 15.14 1.09 9.67
2016 Louisiana-Lafayette SBC NCAA-1 So 20 22 of -- 53 151 17 38 7 0 6 23 2 1 16 44 7 0 1 0 2 63 175 13 25 .252 .349 .417 .766 .278 .166 .314 9.14 25.14 2.75 25.17
2017 Louisiana-Lafayette SBC NCAA-1 Jr 21 27 of -- 57 191 41 60 11 3 11 46 6 3 25 40 11 0 3 0 2 110 230 25 35 .314 .417 .576 .993 .408 .262 .343 10.87 17.39 1.60 17.36
2017 Gulf Coast Yankees GCL Rk nya 21 1 rf log 2 6 4 2 2 0 0 1 0 0 3 2 0 0 0 0 0 4 9 2 0 .333 .556 .667 1.222 .833 .333 .500 33.33 22.22 0.67 --
2017 Pulaski Yankees App Rk nya 21 2 rf log 27 98 23 31 8 0 9 23 2 1 12 27 2 0 0 0 1 66 112 17 14 .316 .402 .673 1.075 .490 .357 .355 10.71 24.11 2.25 10.89
2017 Charleston (sc) RiverDogs SAL A nya 21 5 rf log 21 81 10 21 5 0 4 22 0 0 5 20 1 0 0 0 2 38 87 9 12 .259 .310 .469 .779 .272 .210 .298 5.75 22.99 4.00 20.25
2018 Charleston (sc) RiverDogs SAL A nya 22 -- rf log 67 231 32 64 15 3 10 22 2 4 21 66 7 0 1 2 3 115 260 28 36 .277 .354 .498 .852 .303 .221 .346 8.08 25.38 3.14 23.10
2018 Tampa Tarpons FSL A+ nya 22 -- 1b log 43 143 19 29 3 0 7 16 0 0 17 47 1 0 0 0 0 53 161 10 19 .203 .292 .371 .663 .287 .168 .247 10.56 29.19 2.76 20.43
2019 Tampa Tarpons FSL A+ nya 23 -- 1b log 110 367 50 76 15 0 13 38 9 6 32 117 9 0 1 1 7 130 409 28 48 .207 .286 .354 .640 .243 .147 .265 7.82 28.61 3.66 28.23
2021 FCL Yankees FCL Rk nya 25 -- 1b log 4 12 0 1 1 0 0 1 0 0 0 5 0 0 0 0 0 2 12 1 0 .083 .083 .167 .250 .083 .083 .143 0.00 41.67 -- --
2021 Hudson Valley Renegades SAL2 A+ nya 25 5 rf-1b log 5 18 2 5 2 0 1 6 0 0 1 8 0 0 0 0 1 10 19 3 2 .278 .316 .556 .871 .333 .278 .444 5.26 42.11 8.00 18.00
2022 Evansville Otters Frontier Indy 26 -- 1b-rf -- 65 228 44 60 11 0 14 45 4 0 37 60 11 0 2 0 0 113 278 25 35 .263 .388 .496 .884 .412 .232 .295 13.31 21.58 1.62 16.29
2023 Gastonia Honey Hunters Atl Indy -- 27 -- 1b-rf -- 62 180 29 43 8 1 8 28 1 1 21 45 9 0 1 0 7 77 211 17 26 .239 .346 .428 .774 .306 .189 .273 9.95 21.33 2.14 22.50
2023 Lake County Dockhounds AmAs Indy -- 27 -- 1b-rf -- 23 81 12 14 5 0 5 14 1 0 11 19 3 0 1 0 0 34 96 10 4 .173 .292 .420 .711 .395 .247 .155 11.46 19.79 1.73 16.20
2017 A / Rk Total -- NYA -- -- -- -- 50 185 37 54 15 0 13 46 2 1 20 49 3 0 0 0 3 108 208 28 26 .292 .370 .584 .954 .405 .292 .333 9.62 23.56 2.45 14.23
2018 A+ / A Total -- NYA -- -- -- -- 110 374 51 93 18 3 17 38 2 4 38 113 8 0 1 2 3 168 421 38 55 .249 .330 .449 .779 .297 .201 .310 9.03 26.84 2.97 22.00
2019 A+ Total -- NYA -- -- -- -- 110 367 50 76 15 0 13 38 9 6 32 117 9 0 1 1 7 130 409 28 48 .207 .286 .354 .640 .243 .147 .265 7.82 28.61 3.66 28.23
2021 Rk / A+ Total -- NYA -- -- -- -- 9 30 2 6 3 0 1 7 0 0 1 13 0 0 0 0 1 12 31 4 2 .200 .226 .400 .626 .233 .200 .313 3.23 41.94 13.00 30.00
2022 Indy Total -- -- -- -- -- 65 228 44 60 11 0 14 45 4 0 37 60 11 0 2 0 0 113 278 25 35 .263 .388 .496 .884 .412 .232 .295 13.31 21.58 1.62 16.29
2023 Indy Total -- -- -- -- -- -- 85 261 41 57 13 1 13 42 2 1 32 64 12 0 2 0 7 111 307 27 30 .218 .329 .425 .754 .333 .207 .237 10.42 20.85 2.00 20.08
Total Minors (4 yrs) -- Minors -- -- -- -- -- 279 956 140 229 51 3 44 129 13 11 91 292 20 0 2 3 14 418 1069 98 131 .240 .318 .437 .755 .295 .198 .297 8.51 27.32 3.21 21.73
Total A+ (3 yrs) -- A+ -- -- -- -- -- 158 528 71 110 20 0 21 60 9 6 50 172 10 0 1 1 8 193 589 41 69 .208 .289 .366 .654 .258 .157 .265 8.49 29.20 3.44 25.14
Total A (2 yrs) -- A -- -- -- -- -- 88 312 42 85 20 3 14 44 2 4 26 86 8 0 1 2 5 153 347 37 48 .272 .343 .490 .833 .295 .218 .333 7.49 24.78 3.31 22.29
Total Rk (2 yrs) -- Rk -- -- -- -- -- 33 116 27 34 11 0 9 25 2 1 15 34 2 0 0 0 1 72 133 20 14 .293 .383 .621 1.004 .466 .328 .342 11.28 25.56 2.27 12.89
Total Indy (2 yrs) -- Indy -- -- -- -- -- 150 489 85 117 24 1 27 87 6 1 69 124 23 0 4 0 7 224 585 52 65 .239 .357 .458 .815 .370 .219 .263 11.79 21.20 1.80 18.11
Total NCAA-1 (2 yrs) -- NCAA-1 -- -- -- -- -- 110 342 58 98 18 3 17 69 8 4 41 84 18 0 4 0 4 173 405 38 60 .287 .388 .506 .894 .351 .219 .331 10.12 20.74 2.05 20.12
Total NJCAA (1 yrs) -- NJCAA -- -- -- -- -- 57 203 61 76 11 4 21 80 13 4 35 38 6 0 7 0 12 158 251 36 40 .374 .466 .778 1.244 .621 .404 .364 13.94 15.14 1.09 9.67
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
2014 Kenosha Kingfish Northwoods League CollegeSummer 18 53 170 25 44 6 0 3 23 7 1 18 43 3 0 0 0 3 59 191 9 35 .259 .340 .347 .687 .229 .088 .331 9.42 22.51 2.39 56.67
2015 Kenosha Kingfish Northwoods League CollegeSummer 19 5 17 3 6 1 0 0 2 0 1 4 1 0 1 1 0 1 7 23 1 5 .353 .455 .412 .866 .235 .059 .353 17.39 4.35 0.25 --
2016 Anchorage Bucs Alaska Summer League CollegeSummer 20 39 131 23 40 9 1 6 27 7 2 13 28 5 0 3 0 2 69 152 16 24 .305 .382 .527 .908 .359 .221 .340 8.55 18.42 2.15 21.83
2018 Glendale Desert Dogs Arizona Fall League AFL 22 21 76 4 15 3 1 0 9 0 1 4 26 0 0 0 0 0 20 80 4 11 .197 .238 .263 .501 .105 .066 .300 5.00 32.50 6.50 --
2019 New York Yankees MLB Spring Training Spring 23 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 -- AFL 22 21 76 4 15 3 1 0 9 0 1 4 26 0 0 0 0 0 20 80 4 11 .197 .238 .263 .501 .105 .066 .300 5.00 32.50 6.50 --
-- Totals -- Spring 23 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 -- CollegeSummer 18 97 318 51 90 16 1 9 52 14 4 35 72 8 1 4 0 6 135 366 26 64 .283 .364 .425 .789 .283 .142 .336 9.56 19.67 2.06 35.33
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
2017 Charleston (sc) RiverDogs SAL A nya 21 lf 3 0 0.0 5 1 1 0 7 6 0 0 -- .857 2.0 -- -- 2.2 14.3 10
2017 Charleston (sc) RiverDogs SAL A nya 21 rf 11 0 0.0 17 1 0 0 18 18 0 0 -- 1.000 1.6 -- -- 7.9 52.4 3
2017 Gulf Coast Yankees GCL Rk nya 21 rf 2 0 0.0 4 0 0 0 4 4 0 0 -- 1.000 2.0 -- -- 3.3 100.0 5
2017 Pulaski Yankees App Rk nya 21 rf 21 0 0.0 27 1 0 0 28 28 0 0 -- 1.000 1.3 -- -- 31.3 77.8 2
2018 Tampa Tarpons FSL A+ nya 22 1b 34 0 0.0 226 22 4 27 252 248 0 0 -- .984 7.3 -- -- 24.8 79.1 2
2018 Tampa Tarpons FSL A+ nya 22 rf 5 0 0.0 9 0 0 0 9 9 0 0 -- 1.000 1.8 -- -- 3.6 11.6 6
2018 Charleston (sc) RiverDogs SAL A nya 22 1b 2 0 0.0 18 0 0 2 18 18 0 0 -- 1.000 9.0 -- -- 1.5 3.0 5
2018 Charleston (sc) RiverDogs SAL A nya 22 rf 49 0 0.0 55 5 5 0 65 60 0 0 -- .923 1.2 -- -- 36.0 73.1 1
2019 Tampa Tarpons FSL A+ nya 23 1b 59 0 0.0 378 36 5 44 419 414 0 0 -- .988 7.0 -- -- 43.7 53.6 1
2019 Tampa Tarpons FSL A+ nya 23 rf 27 0 0.0 42 1 2 0 45 43 0 0 -- .956 1.6 -- -- 20.0 24.5 2
2021 Hudson Valley Renegades SAL2 A+ nya 25 1b 2 0 0.0 9 0 0 0 9 9 0 0 -- 1.000 4.5 -- -- 1.7 40.0 6
2021 Hudson Valley Renegades SAL2 A+ nya 25 rf 3 0 0.0 0 1 0 0 1 1 0 0 -- 1.000 0.3 -- -- 2.5 60.0 6
2021 FCL Yankees FCL Rk nya 25 1b 2 0 0.0 6 1 1 0 8 7 0 0 -- .875 3.5 -- -- 3.8 50.0 6
Total A+ (3 yrs) -- A+ -- -- 1b 95 0 0 613 58 9 71 680 671 0 0 -- .987 7.1 -- -- -- -- --
Total A+ (3 yrs) -- A+ -- -- rf 35 0 0 51 2 2 0 55 53 0 0 -- .964 1.5 -- -- -- -- --
Total A (1 yrs) -- A -- -- 1b 2 0 0 18 0 0 2 18 18 0 0 -- 1.000 9.0 -- -- -- -- --
Total A (1 yrs) -- A -- -- lf 3 0 0 5 1 1 0 7 6 0 0 -- .857 2.0 -- -- -- -- --
Total A (2 yrs) -- A -- -- rf 60 0 0 72 6 5 0 83 78 0 0 -- .940 1.3 -- -- -- -- --
Total Rk (1 yrs) -- Rk -- -- 1b 2 0 0 6 1 1 0 8 7 0 0 -- .875 3.5 -- -- -- -- --
Total Rk (1 yrs) -- Rk -- -- rf 23 0 0 31 1 0 0 32 32 0 0 -- 1.000 1.4 -- -- -- -- --
Yearly Positional Grid
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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 category pos p pos c pos 1b pos 2b pos 3b pos ss pos lf pos cf pos rf pos of pos dh
2017 Minor 0 0 0 0 0 0 3 0 34 0 0
2018 Minor 0 0 36 0 0 0 0 0 54 0 0
2019 Minor 0 0 59 0 0 0 0 0 27 0 0
2021 Minor 0 0 4 0 0 0 0 0 3 0 0