Dylan ShockleyC Columbus Clingstones
Age 29 R/R 5'10" / 195 lbs AA BB -5% Svc 0.0 · Ctrl thru 2034
wRC+†51
AVG/OBP/SLG.185 / .257 / .290
PA172
HR3
K%36
BB%7
MLB%2%
BAT: -9.6 runs (wOBA-derived runs vs avg)-10BATRUN: +0.0 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +3.1 runs (Positional adjustment)+3POSREP: +4.9 runs (Replacement-level credit)+5REPTotal WAR: -0.10-0.1WAR
Scouting · nowfuture
HIT
2020
PWR
3636
SPD
4444
EYE
4545
trajectory · 10 yrs
-0.2peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2029
Service   0 yrs (est)
Team Control Through   2034
First FA Year   2035
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2029
2027MiLBstill in minors · estimated debut 2029
2028MiLBstill in minors · estimated debut 2029
2029Arb-1$0.8M
2030Arb-2$0.9M
2031Arb-3$0.9M
2032Extbeyond projection horizon · no WAR estimate
2033Extbeyond projection horizon · no WAR estimate
2034Extbeyond projection horizon · no WAR estimate
Totals $-8M $-8M +$0.0M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
201922 ROKGCL Pirates 9684 11100 4403 10 .131.198.143.341 .012.229 424 .157 -22 -13 +0 +0 +2 +3 -0.9
202124 A+3 teams 132113 17502 11496 01 .150.262.248.509 .097.234 378 .224 29 -11 -0 +0 +2 +4 -0.5
202225 INTL2 teams 213186 20600 1311710 10 .108.206.140.346 .032.282 556 .177 -6 -26 +0 +0 +4 +6 -1.6
202326 AAAltoona Curve 113101 14000 9473 00 .139.230.139.369 .000.259 428 .182 -2 -13 +0 +0 +2 +3 -0.8
202427 AAA2 teams 10291 19302 3344 00 .209.265.308.573 .099.304 333 .242 43 -7 +0 +0 +2 +3 -0.2
202528 AA2 teams 156140 19201 13842 10 .136.219.171.391 .036.321 548 .179 -5 -18 +0 +0 +3 +4 -1.1
▸ 2026 Season
202629 MLBATL 172154 29513 13623 31 .188.265.292.557 .104.282 368 .252 51 -10 +0 +0 +3 +5 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202730 MLB 9%ATL 244220 43815 18864 31 .195.269.309.578 .114.282 357 .256 54 -13 +0 -2 +4 +7 -0.3
202831 MLB 19%ATL 238215 41715 18833 30 .191.263.302.565 .112.281 358 .257 55 -12 +1 -3 +4 +7 -0.3
202932 MLB 29%ATL 223201 38714 17773 20 .189.262.294.556 .104.280 358 .256 54 -12 +0 -4 +4 +6 -0.4
203033 MLB 40%ATL 195175 34614 15683 20 .194.269.309.578 .114.279 358 .252 51 -11 +0 -4 +3 +6 -0.6
203134 MLB 49%ATL 155140 27513 12562 10 .193.266.307.573 .114.277 368 .246 47 -9 +0 -5 +3 +4 -0.7
▸ Career Totals (MLE all levels + projections)
Career 20391820 31255629 14680346 173 .171.250.256.507 .085.282 397 .229 33 -153 +2 -17 +36 +58 -7.6
/ 162G 650580 1001829 4725615 51 .172.253.257.510 .084.284 397 .229 33 -49 +1 -6 +12 +18 -2.4

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
201922 ROKGCL Pirates 9682 15200 6283 10 .183.264.207.471 .024.259 296 .216 23 -8 +0 +3 -0.5
202124 A+Greensboro Grasshoppers 7262 7301 6213 01 .113.225.210.435 .097.146 298 .209 18 -7 -0 +2 -0.5
202124 ABradenton Marauders 3326 8200 592 00 .308.455.385.839 .077.471 2715 .393 159 +2 +0 +1 0.3
202124 ROKFCL Pirates Gold 2718 4101 761 00 .222.462.444.906 .222.250 2226 .400 164 +2 +0 +1 0.3
202225 AAAltoona Curve 8268 10300 7346 10 .147.284.191.475 .044.294 419 .238 40 -6 +0 +2 -0.3
202225 INTLSydney Blue Sox 131109 24603 15314 00 .220.336.358.694 .138.273 2411 .312 97 -0 +0 +4 0.3
202326 AAAltoona Curve 11396 16000 14373 00 .167.292.167.459 .000.271 3312 .234 37 -8 +0 +3 -0.5
202427 AAAIndianapolis Indians 7466 17402 4183 00 .258.329.409.738 .152.319 245 .328 109 +1 +0 +2 0.3
202427 AAAltoona Curve 2824 4000 081 00 .167.200.167.367 .000.250 290 .156 -23 -4 +0 +1 -0.3
202528 AAColumbus Clingstones 8776 12200 11340 00 .158.264.184.449 .026.286 3913 .222 28 -7 +0 +2 -0.5
202528 A+Rome Emperors 6957 14001 9302 10 .246.368.298.666 .053.481 4313 .313 98 -0 +0 +2 0.2

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

Scouting At Match Age Next 3 Yrs Peak 3 Yrs
Comp Age HIT PWR SPD EYE AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR
Dylan Shockley (OGILVIE) 29 20 36 44 45 .185/.257/.290 .104.282 33 36% 7% 51 -0.5
Joe Hudson
2020 · AAA
29 38 44→45 47→40 40 .194/.247/.308 .114.270 124 32% 6% 50 -1.7 .198/.255/.324 .126.283 165 34% 7% 57 -1.2 .183/.287/.336.152.26122836%11%73-0.0
Chris Rabago
2022 · AAA
29 40 40 47→55 44 .195/.262/.284 .089.273 913 30% 8% 50 -1.7 .197/.263/.291 .094.306 910 36% 7% 53 -1.5 .156/.228/.224.068.2655540%6%17-1.2
Gift Ngoepe
2019 · MLB
29 39→42 42→45 45→50 38 .187/.253/.295 .107.312 107 41% 8% 49 -1.8 .193/.261/.311 .118.350 1210 44% 8% 57 -1.2 .150/.222/.265.115.28714850%8%27-1.0
Jason Delay
2023 · MLB
28 41 39→45 42→40 39 .202/.249/.290 .088.280 75 30% 5% 45 -2.1 .221/.277/.307 .086.290 55 24% 6% 62 -0.9 .215/.272/.281.066.2783222%6%49-0.6
Grayson Greiner
2022 · MLB
29 40 44→45 47→30 40 .200/.262/.313 .113.299 134 36% 7% 58 -1.2 .195/.259/.307 .112.360 126 45% 7% 55 -1.4 .163/.227/.268.105.32115351%7%28-0.9
Kevin Cash
2008 · MLB
30 36 45→40 43→30 40 .187/.252/.308 .120.258 144 32% 7% 53 -1.5 .201/.270/.307 .106.280 114 30% 8% 59 -1.1 .194/.267/.274.080.2659029%9%45-0.5
Joseph Odom
2021 · MLB
29 41 41→45 45→30 37 .200/.249/.295 .095.302 94 36% 6% 46 -2.0 .200/.263/.319 .119.360 136 44% 7% 59 -1.1 .171/.242/.298.127.33515350%7%43-0.6
Ryan Jorgensen
2007 · AAA
28 38 44→45 48→30 43 .197/.260/.308 .111.260 136 29% 7% 56 -1.3 .211/.260/.328 .117.271 135 26% 6% 60 -1.0 .210/.254/.324.114.26612125%5%54-0.6
Jeff Arnold
2018 · AAA
30 37 44→50 42→40 37 .183/.248/.296 .114.298 114 40% 7% 48 -1.9 .180/.244/.281 .101.329 105 45% 7% 42 -2.3 .132/.201/.198.066.2667050%8%0-2.0
Tyler Payne
2022 · AA
29 42 43→45 48→40 37 .209/.250/.322 .113.287 114 31% 4% 54 -1.4 .231/.271/.334 .103.320 85 29% 4% 66 -0.6 .238/.274/.333.095.3128225%4%62-0.3
Brandon Hicks
2016 · MLB
30 37→40 46→50 47→50 40 .188/.262/.313 .125.291 146 38% 8% 58 -1.2 .194/.263/.307 .113.327 1210 41% 8% 57 -1.2 .169/.240/.260.091.301111245%8%32-1.5
Clint Sammons
2012 · AAA
29 35→45 44→40 45 42 .183/.238/.292 .109.223 138 25% 6% 43 -2.2 .197/.241/.328 .131.268 178 32% 5% 53 -1.5 .146/.172/.258.113.18619035%2%3-1.2
Eddy Rodriguez
2015 · AAA
29 36→30 45→50 44→30 32 .189/.225/.306 .117.277 144 37% 4% 40 -2.4 .177/.213/.268 .091.293 94 41% 4% 24 -3.5 .142/.176/.217.075.2599148%3%-7-2.0
Caleb Hamilton
2022 · AAA
27 36 44→45 46→45 43 .181/.257/.295 .114.275 129 37% 9% 52 -1.6 .181/.267/.319 .138.277 186 38% 10% 63 -0.9 .145/.237/.274.129.20919339%10%37-0.8
Ali Solis
2018 · AAA
30 37 40→45 45→30 35 .188/.223/.275 .087.262 85 31% 4% 30 -3.1 .204/.240/.332 .128.284 156 33% 4% 53 -1.5 .196/.230/.353.157.24923332%4%51-1.0
Ryan Budde
2009 · MLB
29 41 43→45 47→40 40 .203/.257/.314 .110.269 108 28% 5% 56 -1.3 .196/.254/.290 .094.285 96 32% 7% 48 -1.9 .179/.247/.259.080.2718235%8%35-1.2
Dane Sardinha
2009 · MLB
30 34→32 42→45 49→30 36 .180/.219/.277 .098.240 114 30% 4% 30 -3.1 .181/.228/.286 .105.253 124 32% 5% 36 -2.7 .155/.214/.240.085.22210034%6%15-1.4
Jesus Flores
2014 · MLB
29 37→38 41→50 42→30 38 .188/.221/.284 .095.238 93 26% 4% 31 -3.0 .199/.243/.300 .101.261 105 27% 5% 46 -2.0 .198/.236/.304.106.25915029%5%39-0.6
Jake Wald
2010 · AAA
29 42→43 41→45 51→50 41 .203/.267/.304 .100.289 810 31% 7% 57 -1.2 .186/.250/.270 .084.313 68 39% 7% 41 -2.3 .127/.198/.171.044.2562247%8%-7-2.3
Trent Giambrone
2022 · AAA
28 35→41 45→50 49→55 40 .183/.244/.299 .117.258 1314 34% 7% 46 -2.0 .185/.247/.272 .087.266 815 31% 7% 41 -2.3 .158/.224/.222.065.22651931%6%16-2.0