Samuel PardoC DSL Tampa Bay
Age 18 R/R 5'11" / 185 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 3.5 · 2034
wRC+51
AVG/OBP/SLG.199 / .263 / .285
PA51
HR1
K%32
BB%7
MLB%0%
BAT: -2.8 runs (wOBA-derived runs vs avg)-3BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.9 runs (Positional adjustment)+1POSREP: +1.4 runs (Replacement-level credit)+1REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
3.5peak
2034

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+3.3$32M+$31M
2033Ext / FA-deal$1.0M+3.4$33M+$32M
2034Ext / FA-deal$1.0M+3.5$35M+$34M
2035Ext / FA-deal$7M+3.5$37M+$30M
2036Ext / FA-deal$11M+3.4$37M+$25M
2037Ext / FA-deal$15M+3.2$35M+$20M
Totals $36M $209M +$173M

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
202517 ROKDSL Tampa Bay 4137 3000 2142 20 .081.171.081.252 .000.130 345 .125 -46 -7 +0 +0 +1 +1 -0.5
▸ 2026 Season
202618 MLB 5147 10201 4160 10 .213.275.319.594 .106.291 318 .252 51 -3 +0 +0 +1 +1 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202719 MLB 11% 142127 29513 12422 31 .228.305.354.659 .126.306 308 .288 78 -3 +0 +0 +3 +4 0.3
202820 MLB 28% 291260 611027 25834 72 .235.311.369.681 .135.311 299 .302 90 -3 +1 +0 +5 +8 1.1
202921 MLB 48% 407361 8514310 371136 112 .235.317.374.691 .139.312 289 .312 97 -2 +1 +0 +7 +12 1.9
203022 MLB 65% 490434 10417314 461337 143 .240.322.389.712 .150.312 279 .319 102 +1 +2 +0 +9 +14 2.6
203123 MLB 86% 520457 11118415 511397 153 .243.328.398.726 .155.313 2710 .325 107 +4 +2 +0 +9 +15 3.1
203224 MLB 520456 11218416 521377 153 .246.332.408.740 .162.313 2610 .330 110 +6 +2 +0 +9 +15 3.3
203325 MLB 520455 11218416 531367 153 .246.334.409.743 .163.314 2610 .333 113 +7 +2 +0 +9 +15 3.4
203426 MLB 520454 11218416 541367 153 .247.336.410.746 .163.314 2610 .334 114 +8 +2 +0 +9 +15 3.5
203527 MLB 520453 11218416 551377 153 .247.338.411.748 .163.314 2611 .334 114 +8 +2 +0 +9 +15 3.5
203628 MLB 520453 11218416 551387 142 .247.338.411.748 .163.314 2711 .333 113 +8 +2 -1 +9 +15 3.4
203729 MLB 520452 11018316 561397 132 .243.336.403.739 .159.313 2711 .331 112 +7 +2 -1 +9 +15 3.2
203830 MLB 520452 10917316 561417 122 .241.334.398.732 .157.312 2711 .328 109 +5 +2 -2 +9 +15 3.0
203931 MLB 504438 10517315 541397 91 .240.333.395.728 .155.310 2811 .324 106 +4 +1 -3 +9 +14 2.6
204032 MLB 489427 10016314 521377 70 .234.327.384.711 .150.309 2811 .320 103 +2 +1 -4 +9 +14 2.2
204133 MLB 473414 9615313 501366 50 .232.323.377.700 .145.308 2911 .314 99 -1 +1 -4 +8 +13 1.8
204234 MLB 428374 8513311 451276 30 .227.320.366.686 .139.306 3011 .308 94 -3 +1 -5 +8 +12 1.3
204335 MLB 366320 711129 381125 20 .222.314.353.667 .131.304 3110 .300 88 -5 +0 -6 +7 +10 0.7
204436 MLB 303265 57827 31964 10 .215.307.340.646 .125.301 3210 .291 81 -7 +0 -6 +5 +9 0.1
204537 MLB 241212 43615 24793 10 .203.293.311.604 .108.298 3310 .281 73 -7 +0 -7 +4 +7 -0.3
204638 MLB 179157 31413 18602 00 .197.288.293.581 .096.292 3410 .271 66 -7 +0 -8 +3 +5 -0.7
▸ Career Totals (MLE all levels + projections)
Career 85657505 177028157239 8702390117 18030 .236.325.384.709 .148.311 2810 .318 101 +13 +24 -46 +153 +243 39.4
/ 162G 650570 13421418 661819 142 .235.324.381.705 .146.310 2810 .318 101 +1 +2 -4 +12 +18 3.0

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
202517 ROKDSL Tampa Bay 4135 4000 4102 20 .114.244.114.358 .000.160 2410 .192 5 -4 +0 +1 -0.3

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
Samuel Pardo (OGILVIE) 18 .199/.263/.285 .086.291 11 32% 7% 51 -0.1
José Azocar
2014 · A
18 40→50 35→45 48→65 34 .190/.218/.253 .063.269 27 30% 3% 21 -3.7 .224/.250/.285 .061.308 19 27% 3% 43 -2.2 .239/.275/.338.099.30283723%4%66-0.3
Luis Bandes
2014 · A
18 34 37→55 48→40 38 .169/.222/.241 .072.236 45 29% 5% 21 -3.7 .198/.237/.296 .098.242 105 23% 4% 42 -2.3 .210/.235/.327.117.24016320%2%46-0.6
Balbino Fuenmayor
2009 · A
19 39→49 38→55 41→30 31 .184/.229/.260 .077.310 53 41% 4% 29 -3.2 .199/.228/.291 .092.309 82 37% 3% 37 -2.7 .274/.306/.446.172.31125120%4%109+1.6
Carlos Franco
2011 · A
19 33→43 38→45 46→45 39 .167/.231/.242 .075.255 65 36% 7% 26 -3.4 .186/.246/.254 .068.275 49 31% 7% 35 -2.8 .213/.270/.322.108.30512333%7%59-0.9
Mike McDade
2009 · A
20 37→47 37→50 47→30 36 .183/.223/.256 .073.265 53 32% 5% 24 -3.5 .217/.257/.343 .126.305 142 33% 4% 63 -0.9 .240/.281/.378.138.31617129%4%80+0.3
Jose Paniagua
2013 · A
19 38 37→50 39→55 35 .186/.227/.259 .073.283 56 35% 5% 27 -3.3 .183/.238/.271 .088.267 69 32% 6% 37 -2.7 .174/.233/.274.100.24781031%6%32-1.1
Reymond Nunez
2009 · A
18 39→40 36→45 41→30 34 .187/.234/.250 .063.298 43 37% 5% 28 -3.2 .204/.253/.308 .104.284 114 31% 5% 53 -1.5 .195/.234/.288.094.27510232%3%36-1.2
Jimmy Paredes
2008 · A
19 41→51 37→50 46→55 37 .199/.231/.275 .076.255 46 24% 3% 33 -2.9 .214/.244/.296 .082.271 412 22% 3% 43 -2.2 .255/.284/.386.131.349131530%4%83+0.3
David Washington
2010 · A
19 41→37 35→55 49→45 33 .185/.236/.244 .058.322 36 41% 6% 27 -3.3 .192/.248/.293 .101.310 95 38% 6% 46 -2.0 .196/.256/.360.164.31722543%7%65-0.5
Wascar Rodriguez
2014 · A
19 35 38→45 42→40 33 .167/.223/.241 .074.300 64 44% 6% 22 -3.7 .180/.249/.271 .091.333 64 44% 7% 42 -2.3 .155/.238/.257.102.2937245%7%32-1.2
Roberto Perez
2009 · A
20 33 38→45 44→30 39 .169/.231/.243 .074.249 73 34% 6% 27 -3.3 .197/.264/.302 .105.260 114 27% 7% 56 -1.3 .189/.266/.312.123.22815124%8%60-0.4
Kristian Brito
2013 · A
18 40→33 37→50 49→40 30 .186/.226/.257 .071.324 57 43% 4% 27 -3.3 .184/.222/.288 .104.313 115 43% 4% 33 -2.9 .164/.202/.262.099.27012243%4%16-1.8
Xavier Hernandez
2006 · A
20 38 36→40 49→30 36 .177/.237/.239 .061.295 45 39% 6% 27 -3.3 .200/.259/.278 .078.293 74 32% 6% 46 -2.0 .201/.260/.275.074.2778029%6%48-0.7
Yonathan Mejia
2011 · A
18 38 37→40 48→45 37 .187/.223/.264 .077.250 46 27% 4% 27 -3.3 .206/.237/.268 .062.273 36 25% 3% 33 -2.9 .219/.245/.272.053.2773522%3%35-0.9
Junior Amarante
2014 · A
19 37 34→30 48→55 38 .173/.235/.225 .052.285 211 38% 6% 23 -3.6 .201/.261/.249 .048.303 116 32% 6% 40 -2.4 .205/.264/.235.030.30602230%5%33-0.9
Jake Gatewood
2016 · A
20 36→39 40→50 43→45 31 .176/.219/.263 .087.300 87 42% 5% 26 -3.4 .189/.226/.301 .112.294 115 38% 4% 39 -2.5 .187/.225/.314.127.28214438%4%40-2.0
Carlos Quintana
2007 · A
20 41 35→40 43→40 33 .188/.237/.244 .056.326 36 41% 5% 28 -3.2 .209/.272/.282 .073.298 46 29% 7% 53 -1.5 .214/.278/.283.069.2964827%6%53-0.5
Jose Jules
2017 · A
19 37 36→30 53→55 35 .177/.226/.238 .061.280 316 36% 5% 21 -3.7 .188/.250/.259 .071.256 415 26% 7% 38 -2.6 .164/.239/.221.057.20051820%8%22-1.3
Earving Fernandez
2007 · A
19 38 36→40 47→45 40 .186/.229/.247 .061.251 37 27% 5% 25 -3.5 .210/.265/.275 .065.281 38 25% 6% 48 -1.9 .215/.273/.275.059.2893925%6%50-0.6
Juan Ortiz
2014 · A
19 34 38→40 46→55 35 .169/.223/.244 .074.259 610 36% 5% 23 -3.6 .185/.236/.270 .085.293 77 37% 5% 34 -2.8 .180/.233/.266.086.2888738%6%30-0.8