Nathaniel PalaciosSS DSL Rangers Blue
Age 19 S/R 6'1" / 170 lbs ROK K +3% Svc 0.0 · Ctrl thru 2037 peak 2.8 · 2033
wRC+†52
AVG/OBP/SLG.199 / .264 / .287
PA59
HR1
K%32
BB%7
MLB%0%
BAT: -3.2 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.6 runs (Positional adjustment)+1POSREP: +1.7 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
2.8peak
2033

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2032
Service   0 yrs (est)
Team Control Through   2037
First FA Year   2038
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2032
2027MiLBstill in minors · estimated debut 2032
2028MiLBstill in minors · estimated debut 2032
2029MiLBstill in minors · estimated debut 2032
2030MiLBstill in minors · estimated debut 2032
2031MiLBstill in minors · estimated debut 2032
2032Ext / FA-deal$0.9M+2.6$25M+$24M
2033Ext / FA-deal$1.0M+2.8$28M+$27M
2034Ext / FA-deal$1.0M+2.8$28M+$27M
2035Ext / FA-deal$5M+2.7$28M+$23M
2036Ext / FA-deal$8M+2.5$27M+$18M
2037Ext / FA-deal$11M+2.2$24M+$13M
Totals $28M $160M +$132M

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
202417 ROKDSL Rangers Blue 10087 9101 5505 32 .103.196.149.345 .046.205 505 .157 -22 -14 -0 +0 +1 +3 -1.0
▸ 2026 Season
202619 MLBTEX 5954 11201 4191 10 .204.271.296.567 .093.290 327 .253 52 -3 +0 +0 +1 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11%TEX 120108 23412 10361 21 .213.286.324.610 .111.298 308 .283 75 -3 +0 +0 +1 +3 0.1
202821 MLB 28%TEX 270241 55927 24773 61 .228.306.369.675 .141.300 299 .299 87 -4 +1 +0 +3 +8 0.7
202922 MLB 48%TEX 384341 7813310 351065 92 .229.310.372.682 .144.300 289 .308 94 -3 +1 +0 +4 +11 1.4
203023 MLB 65%TEX 461409 9516313 431256 112 .232.314.381.696 .149.300 279 .315 99 -0 +1 +0 +5 +13 1.9
203124 MLB 82%TEX 512451 10718316 501376 122 .237.321.397.718 .160.301 2710 .319 102 +1 +2 +0 +5 +15 2.3
203225 MLBTEX 543477 11419417 541447 132 .239.325.403.728 .164.301 2710 .322 105 +3 +2 +0 +6 +15 2.6
203326 MLBTEX 561492 11820418 571497 132 .240.327.407.734 .167.302 2710 .324 106 +4 +2 +0 +6 +16 2.8
203427 MLBTEX 567497 11920418 581517 132 .239.327.404.732 .165.302 2710 .324 106 +4 +2 +0 +6 +16 2.8
203528 MLBTEX 567497 11920418 581527 122 .239.327.404.732 .165.302 2710 .323 105 +3 +2 -1 +6 +16 2.7
203629 MLBTEX 560490 11519417 581527 111 .235.324.394.718 .159.301 2710 .321 104 +2 +2 -1 +6 +16 2.5
203730 MLBTEX 551482 11319317 571527 101 .234.324.392.716 .158.299 2810 .318 101 +1 +2 -2 +6 +16 2.2
203831 MLBTEX 538470 10818316 561507 70 .230.321.383.704 .153.298 2810 .314 98 -1 +1 -3 +6 +15 1.9
203932 MLBTEX 520455 10317315 541486 50 .226.317.376.692 .149.296 2810 .309 95 -3 +1 -4 +6 +15 1.5
204033 MLBTEX 491432 9515313 501436 20 .220.309.359.668 .139.295 2910 .304 91 -5 +0 -4 +5 +14 1.0
204134 MLBTEX 444391 8413311 451335 10 .215.304.348.652 .133.293 3010 .297 86 -7 +0 -5 +5 +13 0.6
204235 MLBTEX 390344 711129 391214 00 .206.295.328.623 .122.291 3110 .290 80 -9 +0 -6 +4 +11 0.1
204336 MLBTEX 330290 59927 331064 00 .203.294.321.614 .117.288 3210 .281 73 -10 +0 -6 +4 +9 -0.4
▸ Career Totals (MLE all levels + projections)
Career 79687008 159626351226 7902251101 13120 .228.315.377.691 .149.299 2810 .310 95 -44 +18 -31 +85 +226 25.9
/ 162G 650572 12921418 641848 112 .226.312.371.683 .145.297 2810 .310 95 -4 +1 -3 +7 +18 2.1

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
202417 ROKDSL Rangers Blue 10084 13102 8345 32 .155.268.238.506 .083.216 348 .238 40 -7 -0 +3 -0.4

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
Nathaniel Palacios (OGILVIE) 19 .199/.264/.287 .089.290 11 32% 7% 52 -0.2
Yonathan Perlaza
2018 · A
19 40→50 37→60 48→50 37 .195/.235/.273 .078.279 412 31% 5% 34 -2.8 .213/.257/.285 .072.313 49 31% 6% 46 -2.0 .235/.307/.417.182.303191228%9%100+1.6
Dylan Carlson
2018 · A
19 41→51 40→55 43→50 42 .199/.266/.292 .092.292 86 33% 7% 54 -1.4 .216/.284/.350 .134.284 149 28% 8% 77 +0.1 .242/.327/.396.154.29614422%9%105+1.6
Elly De La Cruz
2021 · A
19 44→54 37→60 42→65 37 .205/.258/.279 .074.313 46 34% 6% 46 -2.0 .226/.270/.389 .163.347 1622 37% 5% 80 +0.4 .249/.324/.437.188.339194430%9%108+2.5
Adalberto Mondesi
2014 · A
19 42→52 38→60 51→65 36 .205/.241/.276 .071.288 613 30% 4% 37 -2.6 .198/.229/.299 .101.284 919 32% 4% 39 -2.5 .248/.279/.427.179.328194930%4%92+0.9
Willi Castro
2016 · A
19 42→52 38→50 50→55 37 .203/.246/.286 .083.279 610 29% 4% 43 -2.2 .226/.255/.320 .094.288 711 23% 3% 55 -1.4 .240/.326/.383.143.305132324%8%98+1.3
Tim Beckham
2009 · A
19 42→52 38→55 49→50 38 .202/.248/.282 .080.290 57 31% 5% 43 -2.2 .219/.267/.307 .088.310 510 29% 5% 57 -1.2 .248/.301/.421.173.31922428%6%100+1.3
Adael Amador
2022 · A
19 45→54 41→50 45→55 47 .219/.281/.317 .098.274 811 23% 8% 66 -0.6 .241/.317/.373 .132.280 1517 19% 9% 97 +1.5 .233/.312/.369.136.267172319%9%90+0.8
Ronny Simon
2019 · A
19 42→52 37→50 47→55 44 .198/.272/.274 .076.278 310 28% 7% 52 -1.6 .213/.274/.337 .124.274 914 24% 7% 69 -0.4 .239/.300/.355.117.301112723%7%81+0.4
Oneil Cruz
2018 · A
19 41→51 41→60 45→55 35 .200/.243/.293 .093.310 89 37% 5% 43 -2.2 .217/.257/.339 .122.316 1210 34% 5% 62 -0.9 .241/.304/.442.201.317252231%8%103+1.7
Jackson Merrill
2022 · A
19 45→55 36→55 52→50 39 .211/.260/.286 .076.314 39 32% 6% 48 -1.9 .251/.293/.383 .132.306 1312 22% 5% 88 +0.9 .266/.310/.441.174.301191018%6%107+1.9
Andres Regnault
2018 · A
19 39 38→55 47→45 39 .185/.251/.256 .071.289 66 36% 7% 39 -2.5 .226/.287/.352 .126.291 137 26% 6% 79 +0.3 .248/.309/.417.169.29019621%6%103+0.7
Lane Thomas
2015 · A
19 45→51 37→55 51→55 43 .210/.271/.289 .080.308 39 31% 8% 54 -1.4 .192/.258/.279 .087.311 612 37% 8% 47 -1.9 .248/.312/.427.179.308211325%7%107+2.0
Marwin Gonzalez
2008 · A
19 41→51 41→55 43→50 41 .201/.247/.302 .102.265 85 27% 6% 47 -1.9 .210/.246/.283 .073.267 47 22% 4% 41 -2.3 .272/.342/.450.178.32021421%9%121+2.7
Alex Liddi
2008 · A
19 41→51 41→60 47→50 36 .200/.246/.304 .104.297 87 34% 5% 48 -1.9 .229/.277/.361 .132.323 128 31% 6% 76 +0.1 .241/.296/.424.182.33620533%6%99+1.7
Blake Perkins
2016 · A
19 39→49 36→50 44→55 39 .189/.235/.256 .068.262 47 29% 5% 30 -3.1 .201/.259/.277 .076.280 512 28% 7% 46 -2.0 .228/.311/.359.130.302132527%10%87+0.5
Maikel Franco
2012 · A
19 36→46 38→55 48→40 37 .180/.226/.261 .081.253 64 30% 5% 28 -3.2 .239/.273/.382 .143.277 163 20% 4% 80 +0.4 .263/.299/.434.171.29019217%4%100+1.6
Brendan Rodgers
2016 · A
19 43→53 40→50 46→45 39 .205/.255/.298 .093.301 77 33% 6% 50 -1.8 .224/.267/.352 .128.288 145 27% 4% 69 -0.4 .253/.308/.383.131.29813019%6%93+0.8
Amed Rosario
2015 · A
19 39→49 40→50 43→55 36 .196/.231/.287 .092.270 75 30% 4% 37 -2.7 .236/.274/.327 .091.314 412 25% 4% 64 -0.8 .286/.323/.422.136.344121420%5%107+1.7
Angel Genao
2023 · A
19 45→55 37→45 52→50 47 .212/.286/.285 .072.288 512 26% 8% 60 -1.0 .241/.293/.346 .105.309 711 23% 6% 78 +0.2 .255/.302/.371.117.31681221%6%85+0.5
Wilin Rosario
2008 · A
19 39→49 37→60 45 35 .189/.235/.257 .068.297 66 37% 5% 31 -3.0 .219/.259/.344 .125.302 145 31% 5% 64 -0.8 .265/.302/.457.192.30126421%5%107+1.6