Dérmis Garcia3B Harrisburg Senators
Age 28 R/R 6'1" / 200 lbs AA HR -9% Svc 4.000 · Ctrl thru 2027
wRC+†69
AVG/OBP/SLG.196 / .268 / .342
PA250
HR8
K%36
BB%8
xwOBA.245
Barrel%13.1%
MLB%2%
BAT: -8.7 runs (wOBA-derived runs vs avg)-9BATRUN: +0.0 runs (SB/CS + UBR baserunning)+0RUNFLD: -0.6 runs (Defensive runs vs avg)-1FLDPOS: -4.5 runs (Positional adjustment)-4POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: -0.70-0.7WAR
Scouting · nowfuture
HIT
2020
PWR
6464
SPD
5454
EYE
4548
trajectory · 10 yrs
0.0peak
2027

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Arb-2
MLB Debut   2022
Service   4.000 yrs.days
Team Control Through   2027
First FA Year   2028
YearStatusSalary Proj WAR Value Surplus
2026Arb-2$0.4M
2027Arb-3$0.7M
Totals $-7M $-7M +$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
201517 ROKGCL Yankees2 7872 7100 6360 01 .097.167.111.278 .014.194 468 .134 -39 -12 -0 +0 -1 +2 -1.2
201618 ROKPulaski Yankees 230206 26509 201123 02 .126.214.282.496 .155.198 499 .218 25 -19 -1 +0 -4 +7 -1.8
201719 ROK2 teams 266240 407113 231121 60 .167.242.367.609 .200.231 429 .268 64 -11 +1 +0 -5 +8 -0.7
201820 ACharleston RiverDogs 363340 6012114 201462 32 .176.227.341.568 .165.254 406 .246 46 -22 -0 +0 -6 +10 -1.9
201921 A+2 teams 322300 5012013 151632 42 .167.211.337.548 .170.287 515 .237 40 -22 +0 +0 -6 +9 -1.9
202123 AASomerset Patriots 443403 6710124 342113 102 .166.236.375.611 .208.251 488 .262 59 -21 +1 +0 -8 +13 -1.5
202224 AAA2 teams 403364 7316114 311613 41 .201.269.365.634 .165.304 408 .278 71 -13 +0 +1 -7 +11 -0.8
202325 AAALas Vegas Aviators 198178 37619 15804 30 .208.284.404.689 .197.311 408 .287 78 -5 +1 +0 -4 +6 -0.2
202426 AAHarrisburg Senators 424389 5910112 291624 21 .152.218.275.493 .123.217 387 .215 23 -37 +0 +0 -8 +12 -3.3
▸ 2026 Season
202628 MLBWSH 250226 45818 19903 31 .199.270.350.620 .150.284 368 .276 69 -9 +0 -1 -4 +7 -0.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202729 MLB 9%WSH 380343 6913112 301324 41 .201.273.350.623 .149.284 358 .278 71 -12 +0 -2 -7 +11 -1.0
202830 MLB 19%WSH 380343 6913111 301304 41 .201.273.341.614 .140.283 348 .279 71 -12 +0 -3 -7 +11 -1.1
202931 MLB 30%WSH 365329 6612111 291244 20 .201.273.343.617 .143.282 348 .277 70 -12 +0 -4 -7 +10 -1.2
203032 MLB 41%WSH 346312 6211110 271194 00 .199.271.337.608 .138.281 348 .274 68 -13 +0 -4 -6 +10 -1.4
203133 MLB 55%WSH 316285 551018 251113 00 .193.265.319.584 .126.279 358 .268 63 -13 +0 -5 -6 +9 -1.5
203234 MLB 72%WSH 272246 46817 21973 00 .187.259.313.572 .126.277 368 .262 58 -13 +0 -6 -5 +8 -1.6
▸ Career Totals (MLE all levels + projections)
Career 50364576 83115413175 374198647 4514 .182.251.336.586 .154.268 397 .259 57 -247 +3 -23 -90 +143 -21.8
/ 162G 650591 10820223 482566 62 .183.251.340.591 .157.269 397 .259 57 -32 +0 -3 -12 +18 -2.8

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
201517 ROKGCL Yankees2 7869 11200 9250 01 .159.256.188.445 .029.250 3212 .218 25 -7 -0 +2 -0.5
201618 ROKPulaski Yankees 230194 409013 32793 02 .206.328.454.781 .247.262 3414 .345 122 +6 -1 +7 1.2
201719 ACharleston RiverDogs 125110 25618 14420 00 .227.315.518.833 .291.279 3411 .358 132 +5 +0 +4 0.8
201719 ROKPulaski Yankees 141115 31519 24391 60 .270.400.565.965 .296.324 2817 .416 177 +12 +1 +4 1.8
201820 ACharleston RiverDogs 363324 7817215 361112 32 .241.320.444.765 .204.317 3110 .338 117 +7 -0 +10 1.7
201921 A+Tampa Tarpons 297271 6715017 191052 42 .247.301.491.792 .244.325 356 .340 119 +6 +0 +8 1.5
201921 INTLGigantes del Cibao 2521 4000 470 00 .190.320.190.510 .000.286 2816 .256 54 -1 +0 +1 -0.1
202123 AASomerset Patriots 443385 8111131 521683 102 .210.309.486.795 .275.265 3812 .346 123 +11 +1 +13 2.6
202224 MLBOakland Athletics 125116 24605 8551 00 .207.264.388.652 .181.339 446 .290 80 -3 +0 +1 -7 +4 -0.6
202224 AAALas Vegas Aviators 278239 6315113 32832 41 .264.355.498.853 .234.338 3012 .369 140 +13 +0 +8 2.1
202325 AAALas Vegas Aviators 198171 458112 22634 30 .263.360.532.893 .269.340 3211 .388 155 +12 +1 +6 1.9
202426 AAHarrisburg Senators 424373 6812114 441274 21 .182.275.332.607 .150.231 3010 .276 69 -15 +0 +12 -0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career 125116 24605 8551 00 .207.264.388.652 .181.339 446 .290 80 -3 +0 +1 -7 +4 -0.6

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
Dérmis Garcia (OGILVIE) 28 20 64 54 48 .196/.268/.342 .146.284 83 36% 8% 69 -0.2
Taylor Snyder
2023 · AAA
28 35→32 54→55 52→50 34 .195/.241/.369 .174.286 2311 40% 6% 64 -0.8 .184/.246/.310 .126.301 1515 41% 7% 50 -1.7 .137/.217/.232.096.217132141%9%17-1.8
Kevin Padlo
2023 · MLB
27 37→40 49→55 52→50 39 .196/.252/.341 .145.270 1813 34% 6% 61 -1.0 .194/.271/.330 .136.273 1513 33% 9% 67 -0.5 .172/.266/.302.130.240151333%11%57-0.8
Peyton Burdick
2023 · MLB
26 36→33 52→55 50 44 .192/.280/.359 .167.275 2012 36% 9% 79 +0.3 .185/.266/.345 .160.294 2012 41% 8% 69 -0.4 .162/.246/.317.156.267211245%8%51-1.1
Brandon Waring
2014 · AAA
28 35→41 54→55 45→40 37 .194/.259/.369 .175.277 232 38% 6% 72 -0.2 .189/.254/.341 .152.324 185 45% 6% 63 -0.9 .157/.225/.298.141.29216249%6%37-1.8
Drew Ellis
2023 · MLB
27 37 52→55 46→40 48 .196/.288/.367 .171.263 196 32% 10% 84 +0.6 .195/.284/.358 .163.250 206 29% 10% 80 +0.4 .173/.269/.328.156.20822329%10%63-0.3
Johan Mieses
2022 · AAA
27 37→32 55 48→50 41 .206/.272/.384 .178.253 257 30% 6% 82 +0.5 .228/.302/.420 .192.300 2510 31% 8% 103 +1.9 .222/.313/.433.210.294281132%10%107+0.8
Patrick Dorrian
2023 · AAA
27 38→37 50→55 47→45 41 .196/.266/.350 .154.290 196 38% 8% 70 -0.3 .196/.260/.343 .147.289 186 37% 7% 65 -0.7 .181/.245/.318.137.26118537%7%49-1.0
Camden Duzenack
2023 · AAA
28 39→37 49→50 51→50 36 .205/.244/.348 .143.271 1712 31% 4% 59 -1.1 .225/.280/.351 .126.287 1310 26% 6% 75 -0.0 .235/.302/.339.104.29610623%6%79+0.1
Andrew Susac
2018 · MLB
28 37→39 48→50 47→30 43 .197/.261/.333 .136.264 163 31% 8% 63 -0.9 .206/.283/.350 .144.290 177 33% 9% 76 +0.1 .198/.293/.339.141.28118034%11%76+0.0
Ray Sadler
2009 · AAA
28 39→43 53→55 46→50 40 .213/.266/.384 .171.267 219 29% 6% 79 +0.3 .202/.254/.348 .146.257 188 29% 5% 64 -0.8 .167/.221/.285.118.20816629%5%31-2.1
Aaron Sisk
2007 · AA
28 40 50 47→45 43 .211/.269/.364 .152.271 1810 29% 7% 74 -0.1 .223/.279/.372 .149.284 198 28% 7% 80 +0.4 .227/.285/.382.154.27822326%6%84+0.3
Caleb Hamilton
2023 · MLB
28 36 50→45 48→45 47 .189/.279/.338 .149.279 196 37% 11% 72 -0.2 .177/.257/.305 .128.279 167 40% 9% 55 -1.4 .109/.194/.201.091.17114544%9%0-1.3
Zack Short
2023 · MLB
28 37→39 46→50 46→45 50 .191/.285/.319 .128.261 149 31% 11% 70 -0.3 .189/.283/.313 .124.261 1410 31% 11% 68 -0.5 .168/.270/.287.119.22814831%11%54-0.9
Richie Shaffer
2018 · MLB
27 37→39 51→55 46→40 41 .196/.268/.351 .156.281 205 36% 8% 71 -0.3 .183/.247/.322 .139.302 176 43% 7% 54 -1.4 .118/.176/.240.122.20315049%6%1-2.1
Narciso Crook
2023 · AAA
28 44→43 52→55 48→50 38 .220/.288/.388 .168.318 2014 36% 6% 89 +0.9 .211/.286/.360 .149.333 1715 39% 7% 81 +0.4 .176/.271/.307.131.300151742%9%58-0.6
Brandon Hicks
2014 · MLB
28 40 49→50 48→50 37 .202/.264/.349 .147.315 1710 40% 7% 68 -0.5 .187/.262/.317 .130.294 157 39% 8% 59 -1.1 .163/.247/.278.115.25814440%9%40-1.2
Gabe Johnson
2008 · AAA
28 38 48→50 45→40 40 .198/.259/.337 .138.279 175 35% 7% 63 -0.8 .207/.265/.317 .110.307 108 34% 7% 59 -1.1 .179/.239/.258.079.2736435%7%31-0.7
Zach Green
2022 · MLB
28 39→43 54→60 44→40 37 .198/.271/.374 .176.327 234 44% 8% 79 +0.3 .196/.253/.351 .155.301 185 39% 6% 65 -0.7 .172/.225/.332.160.24719138%5%46-1.3
Michael Rosamond
2006 · AAA
28 41 47→55 49→45 39 .212/.263/.343 .132.290 1510 32% 6% 66 -0.6 .213/.256/.365 .152.322 189 38% 5% 69 -0.4 .201/.237/.370.169.31121642%4%60-0.6
Tom Murphy
2019 · MLB
28 39→35 52→65 46→45 33 .204/.251/.374 .170.304 196 39% 5% 69 -0.4 .229/.289/.427 .198.312 266 34% 7% 99 +1.7 .244/.316/.459.215.30830230%9%117+1.2