Jared YoungLF New York Mets
INJURED · Injured 10-Day (D10)
Age 31 L/R 6'2" / 200 lbs MLB H +5%HR +3% Svc 0.773 · Ctrl thru 2031 peak 0.6 · 2026
wRC+†127
AVG/OBP/SLG.245 / .328 / .461
PA171
HR8
K%24
BB%9
MLB%100%
BAT: +5.2 runs (wOBA-derived runs vs avg)+5BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: -0.9 runs (Defensive runs vs avg)-1FLDPOS: -3.1 runs (Positional adjustment)-3POSREP: +4.8 runs (Replacement-level credit)+5REPTotal WAR: +0.60+0.6WAR
Scouting · nowfuture
HIT
6060
PWR
6060
SPD
5050
EYE
5460
trajectory · 10 yrs
1.4peak
2027

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2022
Service   0.773 yrs.days
Team Control Through   2031
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Pre-Arb$1M+0.6$2M+$1M
2027Pre-Arb$0.8M+0.6$2M+$2M
2028Pre-Arb$0.8M+0.3$1M+$0.5M
2029Arb-1$0.3M
2030Arb-2$0.4M
2031Arb-3$0.7M
Totals $-3M $0.7M +$3M

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
201823 A2 teams 501457 11915715 2111713 71 .260.312.422.734 .162.312 234 .311 96 -2 +1 +0 -9 +14 0.4
201924 AA2 teams 558518 952014 2315710 72 .183.232.249.481 .066.251 284 .214 22 -49 +1 +0 -10 +16 -4.4
202126 AA3 teams 301280 721428 19721 41 .257.307.407.714 .150.318 246 .303 90 -3 +0 +0 -5 +9 0.0
202227 AAA2 teams 477434 8820214 281419 42 .203.265.355.620 .152.261 306 .272 66 -18 +0 -0 -9 +14 -1.4
202328 AAA2 teams 423370 9813621 3611211 93 .265.348.503.850 .238.320 269 .361 135 +17 +1 -3 -8 +12 1.9
202429 AAAMemphis Redbirds 286248 601319 28669 64 .242.340.411.752 .169.295 2310 .333 113 +4 -0 +0 -5 +8 0.7
202530 AAA3 teams 383341 8313318 33865 82 .243.319.457.777 .214.270 229 .334 114 +6 +1 -0 -4 +11 1.4
▸ 2026 Season (actual · ROS · total)
202631 MLBNew York Mets 2320 7200 230 00 .350.409.450.859 .100.389 139 .365 137 +1 +0 +0 -0 +1 0.2
ROS31 MLBNYM 148131 32517 13353 31 .244.327.458.785 .214.283 249 .349 125 +4 +0 -1 -3 +4 0.5
TOT31 MLBNYM 171151 39717 15383 31 .258.337.457.794 .199.296 229 .351 127 +5 +0 -1 -3 +5 0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202732 MLBNYM 361319 7913316 32877 51 .248.330.458.787 .210.283 249 .342 120 +8 +1 -6 -6 +10 0.6
202833 MLBNYM 331293 7011214 29826 41 .239.320.433.754 .195.283 259 .335 115 +6 +0 -7 -6 +9 0.3
202934 MLBNYM 287255 6010211 25735 20 .235.316.420.735 .184.282 259 .328 109 +3 +0 -7 -5 +8 -0.1
203035 MLBNYM 235209 49829 20624 20 .234.313.421.734 .187.281 269 .320 103 +1 +0 -7 -4 +7 -0.4
203136 MLBNYM 179159 36616 15493 10 .226.305.390.695 .164.279 278 .311 96 -1 +0 -8 -3 +5 -0.7
▸ Career Totals (MLE all levels + projections)
Career 44704014 94116133152 322113986 6218 .234.305.405.710 .170.286 257 .309 95 -25 +5 -40 -77 +127 -1.0
/ 162G 650584 13723522 4716613 93 .235.306.404.710 .170.287 267 .309 95 -4 +1 -6 -11 +18 -0.2

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
201823 A+Myrtle Beach Pelicans 208188 53626 11407 61 .282.345.431.776 .149.326 195 .344 121 +5 +1 +6 1.2
201823 ASouth Bend Cubs 293259 8113610 20476 10 .313.375.525.901 .212.341 167 .384 152 +17 +0 +8 2.6
201924 AATennessee Smokies 504455 1072115 331069 52 .235.300.319.618 .084.292 217 .280 72 -16 +0 +14 -0.1
201924 INTLMesa Solar Sox 5446 9201 781 20 .196.315.304.619 .109.216 1513 .291 81 -1 +0 +2 0.1
202126 AAAIowa Cubs 141126 32415 14330 11 .254.329.421.749 .167.303 2310 .332 112 +2 -0 +4 0.6
202126 AATennessee Smokies 144129 421114 14221 30 .326.396.519.915 .194.369 1510 .403 167 +11 +1 +4 1.6
202126 INTLTigres del Licey 1614 0000 240 00 .000.125.000.125 .000.000 2512 .087 -75 -3 +0 +0 -0.3
202227 MLBChicago Cubs 2219 5200 370 10 .263.364.368.732 .105.417 3214 .335 115 +0 +0 -0 -9 +1 -0.8
202227 AAAIowa Cubs 455400 9221217 401109 32 .230.314.420.734 .190.271 249 .323 106 +3 -0 +13 1.6
202328 MLBChicago Cubs 4743 8032 3131 20 .186.255.465.720 .279.214 286 .310 95 -0 +0 -3 -8 +1 -0.9
202328 AAAIowa Cubs 376310 9616221 508410 73 .310.422.577.999 .268.359 2213 .429 186 +37 +0 +11 4.9
202429 AAAMemphis Redbirds 286235 6715211 41539 64 .285.411.506.917 .221.327 1914 .405 168 +22 -0 +8 3.0
202530 MLBNew York Mets 4743 8104 2161 00 .186.239.488.728 .302.167 344 .308 94 -0 +0 -0 -4 +1 -0.3
202530 AAASyracuse Mets 321273 8214317 41574 82 .300.399.560.960 .260.322 1813 .415 176 +27 +1 +9 3.8
202530 ASt. Lucie Mets 1511 4101 400 00 .364.533.7271.261 .364.300 027 .531 264 +3 +0 +0 0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career 116105 21336 8362 30 .200.270.457.727 .257.234 317 .314 98 -0 +1 -3 -20 +3 -2.0

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
Jared Young (OGILVIE) 31 60 60 50 60 .245/.328/.461 .216.283 83 24% 9% 125 +1.0
Justin Bour
2019 · MLB
31 49→55 58→60 49→40 58 .256/.349/.455 .199.293 273 22% 12% 131 +3.9 .228/.323/.426 .198.275 264 26% 12% 113 +2.6 .197/.296/.401.204.22928228%12%92+0.5
Jay Bruce
2018 · MLB
31 45→55 63→65 45→50 50 .248/.314/.491 .243.270 315 22% 9% 127 +3.6 .237/.303/.458 .221.264 294 23% 9% 113 +2.6 .215/.281/.424.209.23727223%8%90+0.5
Logan Morrison
2018 · MLB
30 45→55 60→65 46→45 56 .243/.333/.460 .216.267 296 22% 11% 126 +3.5 .228/.310/.446 .218.250 304 23% 9% 114 +2.7 .208/.282/.419.211.21730122%8%90+0.6
Shawn Green
2004 · MLB
31 54→60 62→65 47→50 58 .284/.366/.520 .236.297 299 16% 11% 154 +5.5 .275/.353/.465 .190.301 226 16% 10% 134 +4.1 .274/.350/.453.179.29820515%9%124+3.6
Brandon Moss
2015 · MLB
31 47→51 64→65 46→45 51 .254/.337/.497 .243.299 324 27% 10% 137 +4.3 .234/.314/.456 .222.287 293 29% 10% 118 +3.0 .222/.298/.447.225.26931130%9%104+1.5
Bryan LaHair
2014 · MLB
31 50→54 59→65 46→40 46 .257/.320/.468 .211.328 286 30% 9% 123 +3.3 .208/.271/.318 .110.288 105 29% 8% 63 -0.9 .185/.249/.269.084.2596129%8%37-2.0
Justin Upton
2019 · MLB
31 50→59 61→65 47→55 50 .259/.339/.481 .222.323 2910 28% 10% 134 +4.1 .237/.323/.441 .204.296 287 29% 10% 117 +2.9 .207/.298/.402.196.24828429%10%94+0.6
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
Adam Lind
2014 · MLB
31 52→61 56→60 46→40 51 .270/.330/.457 .188.300 253 20% 8% 124 +3.4 .278/.345/.460 .182.316 212 18% 9% 131 +3.9 .272/.340/.453.181.30621018%9%116+2.1
Dan Johnson
2011 · MLB
31 44→53 59→60 45→30 58 .242/.335/.450 .208.259 283 20% 12% 124 +3.4 .230/.316/.412 .182.250 242 19% 11% 107 +2.2 .224/.311/.398.174.24123118%10%100+1.6
Garrett Jones
2013 · MLB
32 49→53 57→60 46→50 50 .258/.317/.459 .202.287 256 20% 8% 119 +3.1 .245/.303/.430 .185.285 224 22% 8% 105 +2.1 .233/.292/.397.165.27518122%7%88+0.6
Hunter Pence
2014 · MLB
31 54→63 56→60 52→50 50 .278/.338/.474 .196.309 2411 19% 8% 131 +3.9 .276/.333/.462 .186.315 2211 19% 8% 126 +3.5 .277/.337/.457.179.32221820%8%123+2.6
Eric Thames
2019 · MLB
32 46→53 63→65 52→45 53 .244/.339/.487 .242.311 309 31% 12% 135 +4.2 .243/.335/.465 .222.316 287 30% 11% 128 +3.7 .238/.337/.459.221.30928430%11%116+1.4
Joc Pederson
2023 · MLB
31 47→52 58→65 43→55 50 .248/.326/.455 .207.287 275 24% 9% 122 +3.3 .247/.347/.445 .198.287 255 22% 11% 128 +3.6 .231/.345/.419.189.26524522%12%115+1.8
Cliff Floyd
2005 · MLB
32 53→61 58→65 48→55 57 .275/.366/.492 .217.306 2512 19% 11% 147 +5.0 .266/.350/.466 .200.287 2510 17% 10% 134 +4.1 .266/.352/.455.189.28224815%10%122+2.4
Mitch Haniger
2022 · MLB
31 45→55 64→65 50 48 .251/.322/.486 .235.285 334 25% 8% 129 +3.7 .239/.308/.426 .187.287 263 26% 8% 108 +2.3 .216/.291/.366.150.27120127%9%82+0.3
Jacque Jones
2007 · MLB
32 50→60 56→60 48→50 48 .264/.322/.457 .193.294 2512 20% 7% 121 +3.2 .259/.317/.401 .142.298 148 17% 7% 103 +1.9 .250/.298/.346.097.3076620%6%74-0.0
Mike Yastrzemski
2022 · MLB
31 46→49 62→65 46→50 51 .250/.331/.491 .241.292 296 25% 10% 133 +4.0 .228/.315/.428 .200.277 236 25% 10% 110 +2.4 .230/.321/.425.195.27222523%11%107+1.7
Carlos González
2017 · MLB
31 51→61 60→65 46→55 48 .270/.324/.484 .215.303 284 22% 7% 128 +3.7 .257/.322/.427 .170.310 195 22% 9% 112 +2.6 .242/.315/.389.147.30015423%9%92+0.8
Jason Bay
2010 · MLB
31 51→60 61→65 52→50 58 .267/.364/.496 .228.310 289 23% 12% 147 +5.0 .250/.341/.423 .173.305 2013 23% 12% 119 +3.1 .229/.316/.359.130.283141423%11%87+0.5