Jung Hoo LeeCF San Francisco Giants
Age 27 L/R 6'0" / 196 lbs MLB BB -3% Svc 2.000 · Ctrl thru 2029 peak 2.5 · 2027
wRC+†vL 55106vR 103
AVG/OBP/SLG.277 / .342 / .414
PA617
HR10
SB7
K%11
BB%8
MLB%100%
BAT: +4.4 runs (wOBA-derived runs vs avg)+4BATRUN: +2.2 runs (SB/CS + UBR baserunning)+2RUNFLD: -4.2 runs (Defensive runs vs avg)-4FLDPOS: +0.8 runs (Positional adjustment)+1POSREP: +17.5 runs (Replacement-level credit)+17REPTotal WAR: +1.90+1.9WAR
Scouting · nowfuture
HIT
6060
PWR
4040
SPD
5555
EYE
4760
trajectory · 10 yrs
3.3peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2024
Service   2.000 yrs.days
Team Control Through   2029
First FA Year   2030
YearStatusSalary Proj WAR Value Surplus
2026Pre-Arb$19M+1.9$15M+$0.0M (cut)
2027Arb-1$19M+2.5$21M+$2M
2028Arb-2$19M+2.2$19M+$0.0M (cut)
2029Arb-3$19M+2.0$17M+$0.0M (cut)
Totals $70M $72M +$2M

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
202425 MLBSan Francisco Giants 158145 38402 10131 23 .262.314.331.645 .069.273 86 .291 81 -3 -1 -1 +1 +4 -0.0
202526 MLBSan Francisco Giants 617560 15132128 47716 103 .270.333.412.745 .143.295 128 .327 109 +6 +1 -5 +2 +17 2.2
▸ 2026 Season (actual · ROS · total)
202627 MLBSan Francisco Giants 9687 22601 7140 00 .253.309.356.665 .103.284 157 .291 81 -2 +0 -1 -1 +3 -0.2
ROS27 MLBSF 521471 1292668 41634 72 .274.337.406.743 .132.298 128 .330 111 +6 +1 -3 +2 +15 2.1
TOT27 MLBSF 617558 1513269 48774 72 .271.333.398.731 .127.298 128 .324 106 +4 +1 -4 +1 +17 1.9
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202728 MLBSF 609551 1503079 49584 82 .272.336.401.737 .129.288 108 .329 110 +7 +1 -4 +2 +17 2.3
202829 MLBSF 597540 1462979 48584 61 .270.334.400.734 .130.287 108 .327 109 +6 +1 -5 +2 +17 2.1
202930 MLBSF 585529 1412878 47594 50 .267.331.391.722 .125.286 108 .324 106 +4 +1 -5 +2 +17 1.9
203031 MLBSF 570515 1362768 46604 20 .264.329.386.716 .122.285 118 .320 103 +2 +0 -6 +2 +16 1.5
203132 MLBSF 551498 1312667 44614 00 .263.328.382.709 .118.283 118 .315 99 -0 +0 -7 +2 +16 1.1
203233 MLBSF 521471 1222466 42613 00 .259.324.374.697 .115.282 128 .309 95 -3 +0 -7 +2 +15 0.7
203334 MLBSF 473430 1082155 37593 00 .251.315.358.673 .107.280 128 .303 90 -5 +0 -8 +2 +13 0.2
203435 MLBSF 418380 941854 33572 00 .247.311.353.663 .105.278 148 .295 84 -8 +0 -8 +1 +12 -0.2
203536 MLBSF 357325 781443 27522 00 .240.302.335.638 .095.275 158 .286 77 -9 +0 -8 +1 +10 -0.6
▸ Career Totals (MLE all levels + projections)
Career 59775415 14242797177 47167241 4011 .263.327.383.710 .120.287 118 .316 100 +3 +4 -67 +21 +169 13.2
/ 162G 650589 1543088 51734 41 .261.325.380.705 .119.285 118 .316 100 +0 +0 -7 +2 +18 1.4

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
202425 MLBSan Francisco Giants 158145 38402 10131 23 .262.314.331.645 .069.273 86 .291 81 -3 -1 -1 +1 +4 -0.0
202526 MLBSan Francisco Giants 617560 14931128 47716 103 .266.330.407.737 .141.291 128 .327 108 +6 +1 -5 +2 +17 2.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career 775705 187351210 57847 126 .265.326.391.718 .126.287 117 .320 103 +2 +0 -6 +3 +22 2.2

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
Jung Hoo Lee (OGILVIE) 27 60 40 55 60 .271/.334/.403 .132.288 109 9% 8% 111 +2.6
Joe Panik
2018 · MLB
27 55→62 46→50 50→45 57 .266/.335/.407 .140.276 136 10% 9% 111 +2.5 .255/.321/.363 .108.273 96 10% 8% 95 +1.4 .249/.320/.334.085.2726510%9%81+0.3
Kolten Wong
2018 · MLB
27 55→60 45→50 53→55 53 .266/.344/.403 .137.300 1112 15% 8% 115 +2.8 .264/.345/.402 .138.298 1215 15% 9% 115 +2.8 .275/.349/.417.142.313132016%8%116+2.0
David Fletcher
2021 · MLB
27 60→62 41→45 49→50 53 .288/.340/.396 .108.313 78 11% 7% 111 +2.5 .260/.302/.339 .079.283 510 10% 6% 79 +0.3 .256/.294/.324.068.277499%5%68-0.4
Tike Redman
2004 · MLB
27 57→60 44→45 50→55 50 .276/.321/.408 .132.299 914 12% 6% 106 +2.2 .268/.306/.368 .100.287 815 9% 5% 89 +0.9 .289/.342/.389.100.31752210%7%107+1.6
Alberto Callaspo
2010 · MLB
27 59→62 43→45 46→45 55 .284/.340/.410 .126.299 84 9% 8% 114 +2.7 .273/.331/.392 .119.287 106 9% 8% 106 +2.2 .265/.344/.371.106.28111510%11%103+1.7
Jon Jay
2012 · MLB
27 56→65 44→45 47→50 47 .272/.323/.394 .122.308 1113 16% 6% 104 +2.0 .280/.345/.385 .105.327 813 16% 7% 111 +2.5 .283/.356/.368.085.33551316%7%104+1.8
Ender Inciarte
2018 · MLB
27 61→62 42→45 52→60 51 .292/.341/.400 .108.323 818 12% 7% 111 +2.5 .262/.325/.381 .119.296 1020 14% 8% 101 +1.8 .243/.314/.359.116.275102215%9%86+0.5
Andrelton Simmons
2018 · MLB
28 57→61 42→45 50 53 .271/.323/.381 .110.287 913 10% 7% 100 +1.7 .279/.327/.397 .118.295 1113 9% 6% 106 +2.2 .285/.331/.390.106.3009118%6%101+1.2
David DeJesus
2008 · MLB
28 57→62 44→50 49→45 55 .273/.351/.406 .133.304 88 13% 8% 118 +3.0 .285/.354/.423 .138.317 118 13% 8% 124 +3.4 .296/.361/.437.140.32911713%8%127+3.2
Maicer Izturis
2008 · MLB
27 58→61 42→45 51→55 57 .276/.342/.391 .115.299 816 11% 9% 111 +2.5 .273/.337/.390 .117.294 916 10% 8% 108 +2.3 .275/.339/.398.124.30191511%8%108+1.5
Jake Cronenworth
2021 · MLB
27 53→58 44→50 54→50 50 .257/.320/.386 .129.303 915 18% 8% 100 +1.7 .251/.330/.416 .165.284 156 17% 9% 113 +2.6 .240/.326/.402.162.27315417%9%102+1.9
Adam Frazier
2019 · MLB
27 56→66 44→50 46→50 52 .270/.330/.399 .130.302 1011 14% 8% 108 +2.3 .269/.330/.403 .134.298 126 13% 7% 109 +2.4 .281/.343/.403.122.31010612%7%109+1.9
Steven Kwan
2023 · MLB
25 58→62 45 54→50 57 .284/.353/.413 .129.303 1114 11% 9% 121 +3.2 .278/.348/.392 .114.301 916 10% 9% 113 +2.6 .274/.345/.381.107.29491710%9%106+2.4
Tommy La Stella
2016 · MLB
27 56→55 40→55 48→50 55 .265/.329/.361 .096.291 67 11% 8% 98 +1.6 .248/.319/.359 .111.285 94 15% 9% 93 +1.3 .268/.335/.436.169.2652119%8%117+1.3
Matt Duffy
2018 · MLB
27 55→65 44→45 51→50 48 .270/.318/.392 .122.305 1112 16% 6% 101 +1.8 .269/.339/.364 .095.319 710 17% 9% 102 +1.9 .274/.349/.359.085.33071117%9%102+1.2
J.P. Crawford
2022 · MLB
27 54→58 43→45 42→50 53 .260/.332/.375 .115.308 97 18% 9% 102 +1.9 .255/.346/.378 .123.299 114 17% 11% 110 +2.4 .250/.350/.381.131.30014520%13%109+2.3
D'Angelo Jimenez
2005 · MLB
27 55→56 45 48→50 59 .265/.347/.392 .127.298 1111 15% 11% 113 +2.6 .254/.342/.384 .130.283 1212 14% 12% 109 +2.4 .260/.342/.387.126.29312415%11%109+1.6
Michael Stefanic
2023 · MLB
27 56→64 43→40 43→45 51 .270/.335/.378 .108.303 117 15% 7% 105 +2.1 .275/.351/.363 .088.308 78 12% 9% 108 +2.3 .280/.363/.356.077.3136711%9%108+1.7
Tucker Barnhart
2018 · MLB
27 54→56 43→45 49→40 54 .259/.329/.378 .119.300 105 17% 9% 102 +1.9 .243/.324/.372 .129.289 133 19% 10% 98 +1.6 .230/.318/.357.127.27514121%11%84+0.3
Jason Bartlett
2007 · MLB
27 57→65 40→45 48→55 49 .272/.327/.373 .101.310 611 14% 6% 100 +1.7 .278/.337/.382 .104.319 621 14% 7% 106 +2.2 .287/.351/.400.113.32972714%8%113+2.4