Jesus NateraC DSL Athletics
Age 20 R/R 5'10" / 165 lbs ROK HR -6%K -4% Svc 0.0 · Ctrl thru 2037 peak 2.5 · 2033
wRC+†54
AVG/OBP/SLG.201 / .266 / .290
PA46
HR1
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
2.5peak
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
2032Pre-Arb$0.9M+2.4$23M+$22M
2033Pre-Arb$1.0M+2.5$25M+$24M
2034Pre-Arb$1.0M+2.4$24M+$23M
2035Arb-1$4M+2.2$23M+$19M
2036Arb-2$6M+2.0$22M+$15M
2037Arb-3$7M+1.6$18M+$10M
Totals $21M $134M +$113M

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
202317 ROKDSL Athletics 4037 3200 3160 01 .081.150.135.285 .054.143 408 .129 -43 -6 -0 +0 +1 +1 -0.5
202418 ROKDSL Athletics 5543 3100 9253 00 .070.273.093.366 .023.167 4516 .192 5 -6 +0 +0 +1 +2 -0.3
▸ 2026 Season
202620 MLBOAK 4643 8101 3140 10 .186.239.279.518 .093.290 307 .256 54 -2 +0 +0 +1 +1 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%OAK 116105 23412 9341 20 .219.287.333.620 .114.293 298 .280 72 -4 +0 +0 +2 +3 0.2
202822 MLB 28%OAK 261234 52926 22743 51 .222.297.355.652 .132.295 288 .295 84 -5 +1 +0 +5 +7 0.8
202923 MLB 48%OAK 365326 7513310 321014 71 .230.307.380.687 .150.295 289 .304 91 -4 +1 +0 +7 +10 1.4
203024 MLB 62%OAK 436388 8915312 401185 82 .229.309.376.686 .147.296 279 .309 95 -3 +1 +0 +8 +12 1.9
203125 MLB 80%OAK 478425 9917314 451295 92 .233.314.386.700 .153.297 279 .313 98 -1 +1 +0 +9 +14 2.2
203226 MLB 94%OAK 502443 10418315 481356 102 .235.318.391.708 .156.297 2710 .315 99 -1 +1 +0 +9 +14 2.4
203327 MLBOAK 514453 10518315 501396 102 .232.316.384.700 .152.297 2710 .315 99 -1 +1 +0 +9 +15 2.5
203428 MLBOAK 516455 10518315 501406 91 .231.315.382.697 .152.297 2710 .313 98 -1 +1 -1 +9 +15 2.4
203529 MLBOAK 511450 10418315 501416 81 .231.316.384.701 .153.296 2810 .311 96 -2 +1 -1 +9 +14 2.2
203630 MLBOAK 503444 10017314 491405 70 .225.309.372.681 .146.294 2810 .308 94 -3 +1 -2 +9 +14 2.0
203731 MLBOAK 476421 9416313 471355 40 .223.309.368.677 .145.293 2810 .304 91 -5 +1 -3 +8 +13 1.6
203832 MLBOAK 446395 8714312 431285 20 .220.305.362.667 .142.291 2910 .300 88 -6 +0 -4 +8 +13 1.1
203933 MLBOAK 405359 7713210 391194 00 .214.299.345.644 .131.290 2910 .294 83 -8 +0 -4 +7 +11 0.7
204034 MLBOAK 352312 661128 341073 00 .212.295.337.632 .125.288 3010 .288 78 -9 +0 -5 +6 +10 0.3
204135 MLBOAK 294261 55927 28923 00 .211.295.341.636 .130.286 3110 .280 73 -9 +0 -6 +5 +8 -0.1
204236 MLBOAK 236210 42715 22762 00 .200.282.314.596 .114.283 329 .271 66 -9 +0 -6 +4 +7 -0.5
▸ Career Totals (MLE all levels + projections)
Career 65525804 129122140174 623186372 8213 .222.306.364.670 .142.294 2810 .301 89 -84 +11 -31 +117 +186 20.2
/ 162G 650576 12822417 621857 81 .222.305.363.668 .141.294 2810 .301 89 -8 +1 -3 +12 +18 2.0

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
202317 ROKDSL Athletics 4035 5300 5110 01 .143.250.229.479 .086.208 2812 .229 33 -3 -0 +1 -0.2
202418 ROKDSL Athletics 5538 4100 14173 00 .105.382.132.513 .026.190 3125 .290 80 -1 +0 +2 0.0

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
Jesus Natera (OGILVIE) 20 .201/.266/.290 .090.290 11 31% 7% 54 -0.1
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
Yunior Garcia
2021 · A
20 38→48 43→50 49→30 35 .190/.240/.297 .107.288 108 36% 5% 44 -2.1 .222/.272/.336 .114.325 114 33% 5% 68 -0.5 .227/.278/.348.120.32013232%5%69-0.2
Rainel Rosario
2009 · A
20 36→46 40→50 45→50 39 .176/.248/.268 .092.289 79 39% 7% 40 -2.4 .205/.272/.319 .114.308 99 34% 7% 64 -0.8 .253/.308/.402.150.28519618%7%96+1.1
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
Niko Goodrum
2012 · A
20 41→51 36→55 50→55 37 .192/.244/.259 .067.299 39 35% 6% 35 -2.8 .207/.272/.294 .087.306 512 31% 8% 56 -1.3 .231/.306/.406.174.310181630%9%97+1.0
Moisés Sierra
2009 · A
20 41→51 41→50 46→50 36 .202/.247/.296 .095.277 99 30% 4% 46 -2.0 .235/.283/.338 .103.304 99 25% 5% 72 -0.2 .250/.316/.378.129.306141522%7%94+1.0
Hernán Pérez
2011 · A
20 39→49 36→50 47→55 38 .190/.223/.252 .062.247 45 25% 4% 24 -3.6 .214/.248/.288 .074.267 614 21% 4% 43 -2.2 .259/.292/.397.138.302162820%4%89+0.7
Christopher Morel
2019 · A
20 38→46 41→60 46→50 45 .191/.255/.285 .094.243 913 25% 7% 47 -1.9 .204/.250/.320 .116.282 1111 31% 5% 53 -1.5 .224/.302/.431.208.280281030%9%102+1.8
Michael A. Taylor
2011 · A
20 38→48 37→55 46→60 41 .186/.242/.263 .077.262 45 29% 6% 36 -2.7 .191/.237/.300 .109.280 916 34% 5% 43 -2.2 .236/.294/.379.143.303191428%7%86+0.6
Brian Sanchez
2016 · A
20 38 41→60 47→45 34 .187/.243/.288 .102.298 98 38% 5% 43 -2.2 .202/.260/.333 .131.304 144 36% 6% 62 -0.9 .203/.267/.358.155.29218035%7%70-0.1
Oscar Gonzalez
2018 · A
20 37→47 42→60 47→40 32 .185/.227/.291 .106.298 105 40% 5% 36 -2.7 .237/.258/.341 .104.316 115 28% 3% 62 -0.9 .259/.288/.437.177.31222124%3%97+1.4
Brandon Dixon
2014 · A
22 37→44 38→60 49→55 34 .181/.219/.258 .077.272 59 35% 4% 24 -3.6 .204/.234/.327 .123.291 1412 34% 3% 49 -1.8 .240/.284/.448.208.318271233%5%101+1.0
Michael Almanzar
2011 · A
20 38→48 38→50 45 35 .187/.224/.266 .079.257 64 29% 4% 28 -3.2 .202/.239/.297 .095.267 96 27% 4% 43 -2.2 .238/.284/.368.129.29414823%4%78+0.2
Stone Garrett
2016 · A
20 41→37 35→60 49→50 38 .198/.237/.257 .059.280 37 29% 5% 30 -3.1 .171/.210/.253 .082.300 67 43% 4% 18 -3.9 .220/.282/.390.169.299211132%7%85+0.4
Óscar Mercado
2014 · A
19 38→48 37→55 52→60 40 .185/.243/.259 .074.266 412 30% 6% 35 -2.8 .192/.242/.259 .067.240 422 21% 5% 34 -2.8 .236/.299/.394.159.271162219%7%92+0.9
Jose Miranda
2017 · A
19 40→50 36→50 43→40 42 .191/.245/.255 .064.255 36 26% 6% 34 -2.8 .215/.260/.324 .109.245 123 17% 4% 59 -1.1 .262/.312/.407.145.29418217%5%101+1.5
Jerar Encarnacion
2017 · A
19 42→45 39→55 50→45 38 .204/.245/.294 .090.282 76 30% 5% 44 -2.1 .191/.234/.289 .098.308 95 39% 5% 38 -2.6 .223/.287/.396.173.32726638%8%87+0.6
Matthew Lugo
2021 · A
20 43→48 37→55 51→50 40 .202/.261/.274 .072.302 47 33% 6% 46 -2.0 .222/.267/.328 .106.299 911 28% 5% 63 -0.8 .216/.265/.377.161.279181729%5%72-0.1
Isan Díaz
2015 · A
19 35→40 39→55 47→45 39 .173/.238/.262 .089.274 68 37% 7% 34 -2.8 .207/.271/.341 .134.298 138 33% 8% 69 -0.4 .204/.284/.367.164.26321530%9%75+0.0
Aaron Altherr
2010 · A
19 42→51 38→55 51→50 43 .201/.253/.279 .078.267 511 26% 6% 44 -2.1 .200/.241/.279 .079.282 616 30% 4% 38 -2.6 .244/.318/.420.176.303171424%8%104+1.5