Sung-Mun Song3B El Paso Chihuahuas
Age 29 L/R 6'0" / 194 lbs AAA HR +13%BB +8% Svc 0.0 · Ctrl thru 2033 peak 0.4 · 2027
wRC+†68
AVG/OBP/SLG.222 / .281 / .356
PA250
HR6
K%28
BB%7
MLB%30%
BAT: -9.2 runs (wOBA-derived runs vs avg)-9BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.9 runs (Positional adjustment)+1POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
0.5peak
2027

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2028
Service   0 yrs (est)
Team Control Through   2033
First FA Year   2030
OPT
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2028
2027MiLBstill in minors · estimated debut 2028
2028Pre-Arb$4M+0.2$0.8M+$0.0M (cut)
2029Arb-1$4M+0.1$0.4M+$0.0M (cut)
2030Arb-2$0.9M
2031Arb-3$0.2M
2032Extbeyond projection horizon · no WAR estimate
2033Extbeyond projection horizon · no WAR estimate
Totals $-2M $-2M +$0.0M
Options · projected decision
2030MUTUAL OPT$2030.0M / $0.0M buyoutDECLINE
2031PLAYER OPT$4.0M / $1.0M buyoutEXERCISE
2032MUTUAL OPT$7.0M / $1.0M buyoutDECLINE

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
▸ 2026 Season (actual · ROS · total)
202629 AAAEl Paso Chihuahuas 8478 19200 6270 00 .244.298.269.567 .026.373 327 .251 50 -5 +0 +0 +0 +2 -0.2
ROS29 MLBSD 166153 36614 11471 31 .235.291.366.657 .131.306 287 .285 76 -4 +0 +0 +1 +5 0.1
TOT29 MLBSD 250231 55814 17741 31 .238.293.333.627 .095.331 307 .274 68 -9 +0 +0 +1 +7 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202730 MLB 41%SD 388353 831428 29903 62 .235.299.354.653 .119.292 237 .295 84 -7 +0 -2 +1 +11 0.4
202831 MLB 50%SD 398362 861529 30943 41 .238.301.365.666 .127.290 248 .293 83 -8 +0 -3 +1 +11 0.2
202932 MLB 62%SD 395359 831428 30953 30 .231.296.348.644 .117.289 248 .290 80 -9 +1 -4 +1 +11 0.1
203033 MLB 72%SD 376342 781328 28933 10 .228.292.348.640 .120.288 257 .285 77 -10 +0 -4 +1 +11 -0.2
203134 MLB 80%SD 338307 681216 25873 00 .221.287.326.612 .104.286 267 .279 72 -11 +0 -5 +1 +10 -0.5
▸ Career Totals (MLE all levels + projections)
Career 20611876 434741043 15350616 174 .231.295.350.645 .119.292 257 .288 79 -49 +2 -17 +7 +58 0.1
/ 162G 650592 13723314 481605 51 .231.295.351.646 .120.292 257 .288 79 -15 +1 -6 +2 +18 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
Sung-Mun Song (OGILVIE) 29 .222/.281/.356 .134.291 65 28% 7% 77 +0.1
Jack Larsen
2023 · AA
28 48→49 48→50 48→45 48 .237/.310/.383 .146.313 159 28% 9% 95 +1.4 .235/.316/.342 .107.327 109 28% 10% 88 +0.9 .244/.361/.268.025.3740429%14%87+0.2
Travis Garcia
2011 · AA
29 44 46→50 48→40 37 .223/.260/.350 .127.301 138 30% 5% 66 -0.6 .246/.287/.427 .181.319 2410 30% 5% 98 +1.6 .243/.279/.416.173.30724529%3%90+0.4
Jeff Nettles
2008 · AA
29 43→41 48→55 49→40 40 .223/.264/.360 .138.286 166 28% 5% 70 -0.3 .223/.269/.378 .155.254 204 21% 6% 78 +0.2 .216/.263/.374.158.23323019%5%71-0.3
Johnny Monell
2015 · AAA
29 43→44 47→50 47→45 45 .219/.281/.359 .141.282 157 28% 8% 78 +0.2 .233/.284/.354 .121.285 138 22% 6% 77 +0.1 .234/.285/.349.115.29012423%6%74-0.0
Carlos Sosa
2011 · AA
29 47→51 44→45 46→40 44 .229/.285/.349 .120.304 126 28% 7% 76 +0.1 .224/.281/.344 .120.314 1210 31% 7% 73 -0.1 .246/.294/.343.098.33511928%6%75-0.0
Ryan Fitzgerald
2023 · AAA
29 38→44 51→55 44→45 42 .204/.266/.370 .166.256 187 28% 6% 75 -0.0 .210/.273/.363 .153.278 169 29% 7% 76 +0.0 .225/.292/.365.140.28614725%7%80+0.2
Brian Sellier
2006 · A
28 45→44 47→55 51→50 45 .225/.265/.367 .142.254 1410 18% 5% 72 -0.2 .224/.272/.362 .138.250 149 17% 6% 74 -0.1 .220/.270/.362.142.23615615%6%72-0.2
Aaron Sisk
2007 · AA
28 40 50 47→45 43 .211/.269/.364 .152.271 1810 29% 7% 74 -0.1 .223/.279/.372 .149.284 198 28% 7% 80 +0.4 .227/.285/.382.154.27822326%6%84+0.3
Derek Nicholson
2006 · A
30 47→48 50→55 54→50 47 .241/.301/.395 .155.287 1710 22% 8% 95 +1.4 .228/.293/.368 .140.282 148 23% 8% 85 +0.7 .205/.279/.344.139.24913223%9%70-0.1
Mario Lisson
2013 · AA
29 45→49 50→55 54→55 44 .229/.292/.386 .157.295 1719 28% 7% 89 +1.0 .231/.295/.384 .153.291 1812 26% 7% 91 +1.1 .233/.305/.376.142.30418828%8%91+0.8
Luke Allen
2007 · AAA
28 44→43 48→50 50→45 44 .227/.276/.370 .143.272 179 23% 6% 78 +0.2 .245/.293/.368 .123.286 137 18% 6% 84 +0.6 .273/.321/.381.108.30510314%6%97+0.8
Cole Sturgeon
2022 · AAA
30 48→49 46→45 49→50 40 .237/.286/.366 .129.310 1310 27% 5% 81 +0.4 .217/.270/.324 .107.260 1112 21% 6% 63 -0.8 .208/.262/.302.094.247101120%6%51-1.3
Sherman Johnson
2019 · AAA
29 42→50 42→45 51→50 48 .206/.281/.310 .104.272 913 26% 9% 65 -0.7 .204/.278/.309 .105.286 910 29% 9% 63 -0.8 .178/.271/.272.094.2518730%10%48-0.8
Christian Lopes
2022 · AAA
29 43→51 47→45 48→50 46 .214/.294/.349 .135.290 1412 30% 8% 82 +0.5 .211/.284/.324 .113.313 1011 33% 8% 70 -0.3 .188/.264/.265.077.2884933%8%44-0.8
Carlos Moncrief
2017 · AAA
28 45→52 45→50 50 45 .225/.286/.348 .122.288 1211 26% 7% 76 +0.1 .222/.280/.331 .109.302 1011 28% 7% 69 -0.4 .221/.271/.311.090.3274932%6%58-0.5
John-Ford Griffin
2009 · AAA
29 43→39 51→55 49→40 43 .223/.279/.388 .165.277 195 27% 7% 84 +0.6 .221/.279/.351 .130.294 127 28% 6% 75 -0.0 .205/.266/.311.106.2896729%6%57-0.8
Jose Manuel Orozco
2019 · AAA
28 45 47→50 47→45 39 .224/.271/.354 .130.303 1510 31% 6% 72 -0.2 .234/.282/.385 .151.334 1710 34% 5% 85 +0.7 .237/.283/.399.163.34220635%5%87+0.4
Lorenzo Quintana
2019 · AA
30 41 51→55 48→45 41 .215/.266/.377 .162.254 1812 24% 5% 76 +0.1 .235/.279/.403 .168.287 218 26% 4% 89 +1.0 .238/.283/.409.171.28822325%4%89+0.5
Norel González
2023 · AAA
29 45 51→50 41→40 41 .232/.286/.392 .160.290 196 27% 6% 89 +0.9 .222/.283/.362 .140.292 166 29% 7% 79 +0.3 .199/.272/.321.123.26315229%8%61-0.4
Mitchell Tolman
2022 · AAA
28 44→47 44→45 46→50 42 .215/.280/.332 .117.290 119 29% 6% 70 -0.3 .229/.299/.370 .141.292 149 25% 7% 88 +0.9 .231/.307/.374.144.28714723%8%89+0.7