Joshua PalaciosRF Chicago White Sox
Age 31 L/R 6'0" / 210 lbs MLB BB +6%HR -6% Svc 5.000 · Ctrl thru 2026 peak 0.6 · 2026
wRC+†109
AVG/OBP/SLG.247 / .319 / .415
PA327
HR11
SB6
K%23
BB%8
xwOBA.299
Barrel%8.6%
MLB%100%
BAT: +3.4 runs (wOBA-derived runs vs avg)+3BATRUN: +0.8 runs (SB/CS + UBR baserunning)+1RUNFLD: -3.7 runs (Defensive runs vs avg)-4FLDPOS: -3.5 runs (Positional adjustment)-4POSREP: +9.3 runs (Replacement-level credit)+9REPTotal WAR: +0.60+0.6WAR
Scouting · nowfuture
HIT
4545
PWR
4545
SPD
4545
EYE
5255
trajectory · 10 yrs
0.9peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Arb-3
MLB Debut   2021
Service   5.000 yrs.days
Team Control Through   2026
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Arb-3$2M+0.6$2M+$0.0M (cut)
Totals $2M $2M +$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
201621 ROK2 teams 9388 22500 3132 43 .250.290.307.597 .057.293 143 .254 52 -5 -0 +0 -1 +3 -0.4
201722 ALansing Lugnuts 419382 951522 281026 126 .249.310.314.624 .065.331 247 .278 71 -14 +0 +0 -4 +12 -0.7
201823 A+Dunedin Blue Jays 562521 1262845 331825 159 .242.293.340.633 .098.360 326 .280 72 -17 -1 +0 -6 +16 -0.8
201924 AANew Hampshire Fisher Cats 341299 671427 32895 155 .224.310.355.664 .130.290 269 .296 85 -6 +1 +0 -4 +10 0.1
202126 AAA2 teams 10591 18200 6316 12 .198.291.220.511 .022.295 306 .238 40 -7 -1 -0 -1 +3 -0.6
202227 AAA3 teams 472426 1151639 31959 2210 .270.333.385.718 .115.327 207 .310 95 -2 +0 -0 -5 +13 0.6
202328 MLB3 teams 391364 9513317 20724 101 .261.307.453.760 .192.283 185 .327 108 +4 +2 -1 -4 +11 1.1
202429 AAA3 teams 304273 661817 26783 74 .242.315.392.707 .150.312 269 .306 92 -3 -0 -1 -3 +9 0.2
202530 MLB2 teams 227197 37705 20557 33 .188.286.299.585 .112.230 249 .264 60 -10 -1 -5 -2 +6 -1.2
▸ 2026 Season
202631 MLBCWS 327293 7314111 26755 62 .249.321.416.737 .167.296 238 .328 109 +3 +0 -4 -4 +9 0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202732 MLBCWS 308276 6813110 24725 51 .246.318.409.727 .163.295 238 .323 105 +2 +1 -7 -3 +9 0.1
202833 MLBCWS 278250 601119 22674 31 .240.312.400.712 .160.293 248 .317 101 +0 +0 -7 -3 +8 -0.2
202934 MLBCWS 235212 50917 18593 20 .236.305.387.692 .151.292 258 .311 96 -1 +0 -8 -3 +7 -0.4
203035 MLBCWS 184165 38715 14483 10 .230.302.376.678 .145.289 268 .303 90 -2 +0 -8 -2 +5 -0.7
▸ Career Totals (MLE all levels + projections)
Career 42463837 9301722094 303103867 10647 .242.309.371.680 .129.306 247 .300 88 -59 +2 -41 -45 +120 -2.2
/ 162G 650587 14226314 4615910 167 .242.307.368.675 .126.306 247 .300 88 -9 +0 -6 -7 +18 -0.3

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
201621 ALansing Lugnuts 4038 13300 131 02 .342.375.421.796 .079.371 82 .358 132 +1 -1 +1 0.2
201621 ROKGCL Blue Jays 5349 13300 361 41 .265.321.327.647 .061.302 116 .297 85 -1 +0 +2 0.1
201722 ALansing Lugnuts 419368 1031832 42786 126 .280.363.361.724 .082.347 1910 .330 111 +5 +0 +12 1.7
201823 A+Dunedin Blue Jays 562507 1483058 471255 159 .292.358.418.776 .126.372 228 .346 123 +15 -1 +16 3.1
201924 AANew Hampshire Fisher Cats 341286 761827 45705 155 .266.375.416.791 .150.324 2113 .353 128 +11 +1 +10 2.2
202126 MLBToronto Blue Jays 4235 7000 3112 00 .200.300.200.500 .000.280 267 .236 39 -3 +0 -0 -1 +1 -0.3
202126 AAABuffalo Bisons 6354 13200 5164 12 .241.349.278.627 .037.342 258 .301 88 -1 -1 +2 0.0
202227 MLBWashington Nationals 4947 10200 1151 10 .213.245.255.500 .043.312 312 .229 34 -4 +0 -0 -5 +1 -0.8
202227 AAARochester Red Wings 342296 871229 35556 218 .294.378.439.817 .145.335 1610 .363 136 +14 +1 +10 2.5
202227 INTLIndios de Mayaguez 8170 15311 6152 02 .214.295.329.623 .114.255 197 .275 68 -3 -1 +2 -0.1
202328 MLBPittsburgh Pirates 264247 599210 12562 50 .239.280.413.693 .174.269 215 .302 90 -3 +1 -1 -4 +7 -0.0
202328 AAAIndianapolis Indians 9078 32418 11111 41 .410.489.7951.284 .385.407 1212 .544 275 +18 +0 +3 2.1
202328 AAAltoona Curve 3734 9200 221 10 .265.324.324.648 .059.281 55 .298 86 -1 +0 +1 0.1
202429 MLBPittsburgh Pirates 7867 15202 10121 10 .224.333.343.677 .119.245 1513 .313 98 -0 +0 -1 -3 +2 -0.2
202429 AAAIndianapolis Indians 208182 531915 22472 54 .291.374.489.863 .198.366 2311 .378 147 +11 -1 +6 1.7
202429 ABradenton Marauders 1817 5200 140 10 .294.333.412.745 .118.385 226 .332 112 +0 +0 +1 0.1
202530 MLBChicago White Sox 145128 26403 12364 00 .203.292.305.596 .102.258 258 .275 69 -5 +0 -5 -2 +4 -0.8
202530 AAACharlotte Knights 8266 13303 11163 33 .197.338.379.716 .182.204 2013 .321 104 +0 -1 +2 0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career 578524 11717215 3813010 70 .223.288.349.638 .126.268 227 .286 77 -15 +1 -7 -16 +16 -2.1

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
Joshua Palacios (OGILVIE) 31 45 45 45 55 .247/.319/.415 .167.296 116 23% 8% 109 +1.3
Garrett Jones
2012 · MLB
31 49→53 55→60 47→50 51 .255/.319/.444 .189.288 2211 20% 8% 115 +2.8 .252/.310/.450 .198.288 245 21% 8% 114 +2.7 .249/.306/.443.194.28523221%7%106+1.8
Todd Hollandsworth
2004 · MLB
31 55→56 51→55 44→50 50 .273/.333/.454 .181.323 1710 21% 8% 124 +3.4 .261/.320/.429 .168.307 177 20% 8% 111 +2.5 .258/.311/.426.167.30017420%7%102+0.8
Alex Dickerson
2021 · MLB
31 53→54 56→55 47→45 50 .270/.339/.471 .201.307 235 20% 8% 131 +3.9 .235/.299/.414 .179.278 224 24% 7% 100 +1.7 .213/.276/.380.167.25221125%7%77+0.1
Rafael Ortega
2022 · MLB
31 48→54 53→55 49→55 49 .246/.310/.423 .177.290 2116 23% 8% 106 +2.2 .231/.317/.368 .137.280 1520 22% 11% 95 +1.4 .216/.314/.341.125.264132422%12%84+0.4
John Rodriguez
2009 · MLB
31 48→47 49→55 46→40 47 .237/.314/.388 .150.301 164 26% 8% 99 +1.7 .223/.292/.377 .154.274 175 25% 7% 88 +0.9 .210/.281/.366.156.25217223%6%79+0.1
Ben Gamel
2023 · MLB
31 49→59 47→50 42→50 54 .239/.329/.382 .143.305 146 25% 11% 104 +2.0 .237/.328/.387 .150.315 167 27% 11% 105 +2.1 .230/.327/.384.153.31816630%12%100+0.8
Nate Schierholtz
2014 · MLB
30 49→58 52→55 47→50 48 .249/.304/.421 .171.278 189 18% 6% 103 +1.9 .216/.267/.361 .145.254 167 22% 6% 72 -0.2 .187/.231/.298.111.22712524%5%37-1.1
Michael Saunders
2018 · MLB
31 45→52 51→55 42→55 47 .230/.298/.398 .167.287 193 26% 8% 95 +1.4 .210/.274/.339 .129.266 137 25% 8% 69 -0.4 .132/.208/.194.062.1745726%9%2-1.3
Terrmel Sledge
2007 · MLB
30 49→52 54→55 47→45 53 .254/.325/.439 .185.286 227 20% 10% 116 +2.8 .239/.318/.405 .166.290 208 24% 10% 105 +2.1 .220/.315/.367.147.27018424%11%89+0.4
Yonder Alonso
2018 · MLB
31 52→57 51→55 42→45 57 .263/.343/.426 .164.294 184 18% 11% 121 +3.2 .240/.319/.408 .168.277 213 21% 10% 107 +2.2 .225/.306/.379.154.25920021%10%88+0.7
Henry Ramos
2023 · MLB
31 53→55 49→50 43→50 47 .263/.323/.412 .149.315 179 22% 7% 108 +2.3 .258/.328/.410 .152.325 1611 24% 9% 110 +2.4 .266/.343/.424.157.338151024%9%115+1.9
John Mayberry Jr.
2014 · MLB
30 47→48 52→55 46→50 47 .240/.297/.410 .170.281 208 22% 7% 98 +1.6 .216/.285/.374 .158.262 176 24% 8% 84 +0.6 .180/.259/.335.155.21217224%9%64-0.2
Ricky Ledee
2006 · MLB
32 50→47 53→60 50 54 .254/.332/.434 .180.296 205 21% 10% 118 +3.0 .233/.295/.379 .146.281 165 22% 8% 89 +0.9 .215/.269/.337.122.26515225%6%65-0.4
Daniel Descalso
2018 · MLB
31 48→54 48→50 51→45 56 .237/.325/.382 .146.282 157 21% 11% 102 +1.9 .224/.326/.382 .158.287 165 25% 13% 103 +1.9 .202/.317/.357.155.26316227%14%88+0.5
Travis Lee
2006 · MLB
31 53→55 50→55 46→45 54 .266/.331/.431 .164.292 178 16% 9% 117 +2.9 .244/.318/.393 .149.277 179 18% 10% 102 +1.9 .224/.312/.364.140.25417819%11%89+0.6
Paul McAnulty
2012 · MLB
31 45→49 51→55 41→40 45 .232/.285/.392 .160.275 194 24% 6% 88 +0.9 .227/.295/.406 .179.275 225 26% 8% 96 +1.5 .201/.288/.397.196.23526127%10%91+0.9
Jarrett Parker
2019 · MLB
30 45→50 52→55 45→50 45 .228/.302/.393 .165.309 206 32% 9% 95 +1.4 .212/.300/.380 .168.314 216 36% 11% 92 +1.2 .182/.286/.352.170.26623238%12%79+0.2
Michael McKenry
2016 · MLB
31 48→46 51→55 43→40 52 .243/.324/.407 .163.293 187 23% 10% 108 +2.3 .212/.307/.346 .134.289 136 29% 11% 85 +0.7 .181/.285/.291.110.25710231%12%61-0.4
Jonny Gomes
2012 · MLB
31 47→52 55→60 46→50 49 .243/.324/.428 .184.294 239 25% 9% 114 +2.7 .244/.343/.421 .177.310 236 27% 11% 120 +3.1 .243/.348/.410.167.31322228%12%112+1.5
Kole Calhoun
2019 · MLB
31 47→56 50→60 46→50 54 .239/.319/.396 .157.278 185 21% 10% 103 +1.9 .231/.318/.439 .208.265 275 24% 10% 115 +2.7 .229/.322/.456.227.25631324%11%114+1.6