Jose PenaC DSL Nationals
Age 19 R/R 6'2" / 170 lbs ROK HR -9% Svc 0.0 · Ctrl thru 2037 peak 2.9 · 2032
wRC+†52
AVG/OBP/SLG.200 / .264 / .287
PA45
HR0
K%31
BB%7
MLB%0%
BAT: -2.4 runs (wOBA-derived runs vs avg)-2BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.8 runs (Positional adjustment)+1POSREP: +1.3 runs (Replacement-level credit)+1REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
2.9peak
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+2.9$28M+$27M
2033Ext / FA-deal$1.0M+2.9$29M+$28M
2034Ext / FA-deal$1.0M+2.9$29M+$28M
2035Ext / FA-deal$5M+2.8$29M+$24M
2036Ext / FA-deal$9M+2.6$28M+$19M
2037Ext / FA-deal$11M+2.4$27M+$15M
Totals $28M $169M +$141M

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 Nationals 5045 5000 3151 00 .111.184.111.295 .000.161 306 .136 -38 -8 +0 +0 +1 +1 -0.6
▸ 2026 Season
202619 MLBWSH 4542 7100 3140 10 .167.222.190.413 .024.291 317 .253 52 -2 +0 +0 +1 +1 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11%WSH 118106 23412 10351 20 .217.291.330.621 .113.299 308 .283 75 -3 +0 +0 +2 +3 0.3
202821 MLB 28%WSH 268240 54926 23763 61 .225.301.354.655 .129.300 289 .297 85 -4 +1 +0 +5 +8 0.9
202922 MLB 48%WSH 382340 7913310 341055 92 .232.311.376.688 .144.301 279 .306 93 -3 +1 +0 +7 +11 1.6
203023 MLB 65%WSH 460409 9616313 431245 112 .235.315.384.699 .149.301 279 .314 98 -1 +1 +0 +8 +13 2.2
203124 MLB 82%WSH 511451 10818415 491366 122 .239.322.397.719 .157.301 2710 .318 102 +1 +2 +0 +9 +14 2.7
203225 MLBWSH 520458 11018416 511376 122 .240.324.402.726 .162.302 2610 .321 104 +2 +2 +0 +9 +15 2.9
203326 MLBWSH 520457 11018416 521376 122 .241.326.403.729 .162.303 2610 .323 105 +3 +2 +0 +9 +15 2.9
203427 MLBWSH 520457 11018416 521386 122 .241.326.403.729 .162.303 2710 .323 105 +3 +2 +0 +9 +15 2.9
203528 MLBWSH 520456 10918416 531396 112 .239.326.401.728 .162.302 2710 .322 105 +3 +1 -1 +9 +15 2.8
203629 MLBWSH 520456 10818316 531406 101 .237.324.395.719 .158.302 2710 .320 103 +2 +2 -1 +9 +15 2.6
203730 MLBWSH 520456 10517315 531426 91 .230.318.379.698 .149.300 2710 .317 101 +0 +1 -2 +9 +15 2.4
203831 MLBWSH 504442 10217314 511406 60 .231.319.378.696 .147.299 2810 .313 98 -1 +1 -3 +9 +14 2.1
203932 MLBWSH 487429 9716313 491386 40 .226.314.368.682 .142.297 2810 .308 94 -3 +1 -4 +9 +14 1.7
204033 MLBWSH 445392 8814312 451295 20 .224.312.367.680 .143.296 2910 .303 90 -5 +0 -4 +8 +13 1.2
204134 MLBWSH 389343 7512210 391164 10 .219.306.353.658 .134.294 3010 .296 85 -7 +0 -5 +7 +11 0.7
204235 MLBWSH 330291 61928 331023 00 .210.297.337.633 .127.292 3110 .289 79 -8 +0 -6 +6 +9 0.2
204336 MLBWSH 269238 49726 26863 00 .206.292.328.620 .122.289 3210 .280 72 -8 +0 -6 +5 +8 -0.2
204437 MLBWSH 209185 36514 20692 00 .195.280.297.577 .103.285 3310 .270 65 -8 +0 -7 +4 +6 -0.6
▸ Career Totals (MLE all levels + projections)
Career 75876693 153224851208 742211886 12017 .229.314.374.688 .146.300 2810 .309 94 -49 +17 -38 +135 +215 28.6
/ 162G 650573 13121418 641817 101 .229.314.373.687 .145.299 2810 .309 94 -4 +2 -3 +12 +18 2.5

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 Nationals 5043 6000 5111 00 .140.245.140.384 .000.182 2210 .193 6 -5 +0 +1 -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
Jose Pena (OGILVIE) 19 .200/.264/.287 .087.291 01 31% 7% 52 -0.1
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
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
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
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
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
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
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
Brian Navarreto
2016 · A
21 36 38→45 47→30 37 .179/.218/.254 .075.247 63 30% 4% 22 -3.7 .186/.225/.255 .069.249 52 27% 4% 25 -3.5 .204/.253/.334.130.24717125%5%56-0.5
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
Jorge Parra
2014 · A
19 39 35→30 47→40 37 .183/.236/.240 .057.285 29 35% 6% 27 -3.3 .192/.246/.253 .061.282 26 30% 6% 34 -2.8 .192/.242/.250.058.2731428%5%32-1.0
Randy Claxton
2007 · A
21 36 35→30 47→45 40 .174/.237/.232 .059.248 37 30% 6% 26 -3.4 .192/.278/.252 .060.261 25 25% 8% 50 -1.8 .184/.298/.226.042.2430221%10%53-0.6
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
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
Luis Paz
2016 · A
20 37→34 35→45 45→40 41 .178/.233/.239 .060.249 35 28% 6% 25 -3.5 .193/.237/.315 .122.285 124 35% 5% 47 -1.9 .182/.224/.333.152.26118238%5%44-1.1
Manuelysis Peralta
2007 · A
20 37 34→30 42→40 34 .174/.233/.224 .050.277 25 36% 5% 22 -3.7 .188/.253/.241 .053.276 24 31% 5% 36 -2.7 .189/.263/.222.033.2542124%6%38-0.9
Rafael Jimenez
2019 · A
19 35 39→40 48→30 32 .171/.218/.250 .080.296 83 43% 5% 22 -3.7 .179/.229/.250 .071.332 54 44% 6% 27 -3.3 .118/.170/.143.025.2530050%6%-27-1.4
Ismael Pena
2015 · A
19 36 37→30 45 42 .176/.231/.247 .071.243 45 28% 6% 27 -3.3 .198/.242/.271 .073.253 55 23% 5% 37 -2.7 .204/.236/.267.063.2465319%4%30-0.9
Randy Federico
2017 · A
19 38 34→30 44→45 36 .176/.241/.226 .050.300 27 39% 6% 26 -3.4 .170/.226/.226 .056.263 37 34% 5% 19 -3.9 .121/.169/.157.037.1772732%4%-20-2.2
Erwin Almonte
2014 · A
19 40 34→30 46→30 42 .188/.231/.241 .054.233 23 20% 4% 24 -3.5 .208/.244/.275 .067.240 33 14% 4% 38 -2.6 .218/.247/.284.066.2393111%3%38-0.9
Rubell Castro
2015 · A
18 40 39→40 47→30 30 .159/.239/.248 .089.369 74 54% 7% 33 -2.9 .167/.257/.256 .089.347 75 49% 9% 42 -2.3 .124/.235/.198.073.2568549%11%17-0.9