Myles EmmersonC Rocket City Trash Pandas
Age 28 R/R 5'11" / 185 lbs AA HR -5% Svc 0.0 · Ctrl thru 2034
wRC+†58
AVG/OBP/SLG.197 / .265 / .308
PA199
HR4
K%32
BB%7
MLB%2%
BAT: -9.4 runs (wOBA-derived runs vs avg)-9BATRUN: -0.0 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +3.6 runs (Positional adjustment)+4POSREP: +5.6 runs (Replacement-level credit)+6REPTotal WAR: -0.00-0.0WAR
Scouting · nowfuture
HIT
3535
PWR
4040
SPD
4545
EYE
4745
trajectory · 10 yrs
0.0peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2029
Service   0 yrs (est)
Team Control Through   2034
First FA Year   2035
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2029
2027MiLBstill in minors · estimated debut 2029
2028MiLBstill in minors · estimated debut 2029
2029Pre-Arb$0.8M
2030Pre-Arb$0.9M
2031Pre-Arb$0.9M
2032Arb-1$0.2M
2033Extbeyond projection horizon · no WAR estimate
2034Extbeyond projection horizon · no WAR estimate
Totals $-8M $-8M +$0.0M

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
202123 AInland Empire 66ers 9178 16401 10323 02 .205.319.295.614 .090.333 3511 .275 69 -3 -1 +0 +2 +3 0.0
202224 AInland Empire 66ers 288265 52902 20802 61 .196.258.253.511 .057.272 287 .231 35 -21 +1 +0 +5 +8 -0.7
202325 A+Tri-City Dust Devils 243228 33610 141010 10 .145.194.180.374 .035.260 426 .171 -11 -30 +0 +0 +4 +7 -1.9
202426 AARocket City Trash Pandas 119104 21301 12371 01 .202.291.260.550 .058.299 3110 .252 51 -7 -0 +0 +2 +3 -0.2
202527 AARocket City Trash Pandas 302275 491315 19984 22 .178.242.287.529 .109.253 326 .234 37 -21 -0 +0 +5 +9 -0.8
▸ 2026 Season
202628 MLBLAA 199180 36714 15632 31 .200.269.317.586 .117.279 328 .261 58 -9 +0 +0 +4 +6 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202729 MLB 9%LAA 221200 40814 17692 31 .200.269.310.579 .110.280 318 .266 61 -10 +0 -1 +4 +6 -0.1
202830 MLB 19%LAA 272247 491015 21842 31 .198.267.308.574 .109.279 318 .267 62 -12 +0 -2 +5 +8 -0.1
202931 MLB 29%LAA 275250 501015 21852 21 .200.267.308.575 .108.279 318 .266 62 -12 +0 -3 +5 +8 -0.2
203032 MLB 43%LAA 265240 481015 21822 21 .200.270.312.582 .112.278 318 .263 59 -12 +0 -4 +5 +8 -0.4
203133 MLB 57%LAA 239217 43914 18762 21 .198.266.304.570 .106.276 328 .257 55 -12 +0 -4 +4 +7 -0.5
203234 MLB 74%LAA 200181 35713 15652 11 .193.263.293.555 .099.274 328 .251 50 -11 -0 -5 +4 +6 -0.7
▸ Career Totals (MLE all levels + projections)
Career 27142465 47296939 20387224 2513 .191.260.285.545 .094.277 327 .247 48 -161 -0 -19 +48 +77 -5.6
/ 162G 650590 1132329 492096 63 .192.261.283.544 .092.277 328 .247 48 -39 +0 -5 +12 +18 -1.3

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
202123 AInland Empire 66ers 9173 18501 15233 02 .247.396.356.752 .110.347 2516 .352 128 +3 -1 +3 0.5
202224 AInland Empire 66ers 288256 611102 29592 61 .238.321.305.625 .066.301 2010 .290 80 -7 +1 +8 0.2
202325 A+Tri-City Dust Devils 243219 39810 23760 10 .178.256.224.480 .046.273 319 .227 32 -19 +0 +7 -1.2
202426 AARocket City Trash Pandas 11999 24401 17281 01 .242.359.313.672 .071.324 2414 .311 96 -1 -0 +3 0.3
202527 AARocket City Trash Pandas 302265 551316 29764 22 .208.295.332.627 .125.265 2510 .284 75 -8 -0 +9 -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
Myles Emmerson (OGILVIE) 28 35 40 45 45 .197/.265/.308 .111.279 43 32% 7% 58 -0.4
Dominic Miroglio
2022 · AA
27 41 44→45 44→40 43 .205/.269/.321 .117.279 115 30% 7% 63 -0.9 .216/.284/.361 .145.260 155 23% 8% 80 +0.4 .203/.270/.374.171.21220216%7%72-0.1
Ryan Jorgensen
2007 · AAA
28 38 44→45 48→30 43 .197/.260/.308 .111.260 136 29% 7% 56 -1.3 .211/.260/.328 .117.271 135 26% 6% 60 -1.0 .210/.254/.324.114.26612125%5%54-0.6
JJ Schwarz
2022 · AA
26 38 44→45 47→30 44 .195/.260/.302 .108.268 124 31% 8% 54 -1.4 .216/.284/.346 .130.306 154 32% 9% 76 +0.0 .206/.279/.334.128.29016133%9%68-0.3
Alvin Colina
2010 · AAA
28 41 45 45→40 39 .209/.261/.332 .122.276 145 29% 5% 62 -0.9 .215/.263/.342 .127.288 157 30% 5% 66 -0.6 .180/.219/.291.112.24214332%3%31-1.0
Hamlet Marte
2021 · AA
27 40 43→45 44→45 39 .198/.255/.304 .106.297 115 36% 7% 52 -1.6 .193/.251/.287 .094.336 97 42% 7% 46 -2.0 .147/.210/.229.082.24410442%7%11-0.9
David Masters
2021 · AA
28 42→36 46→45 42→40 43 .212/.279/.339 .128.290 143 31% 8% 72 -0.2 .215/.274/.369 .154.312 198 36% 7% 78 +0.2 .170/.231/.347.178.22628639%6%50-0.4
Colton Plaia
2019 · AAA
28 43 42→40 43→30 41 .210/.265/.315 .105.291 104 30% 6% 59 -1.1 .193/.241/.301 .108.296 116 37% 5% 45 -2.1 .115/.144/.167.053.1944042%3%-32-1.7
Grayson Greiner
2021 · MLB
28 40 46→45 45→30 44 .206/.272/.331 .125.276 154 30% 8% 66 -0.6 .196/.260/.306 .110.334 125 42% 7% 55 -1.4 .177/.244/.263.086.3299146%8%34-0.9
Angelo Castellano
2023 · AAA
28 38→42 41→45 47→50 43 .193/.254/.284 .092.249 1012 26% 6% 46 -2.0 .221/.284/.356 .135.267 1614 23% 8% 78 +0.2 .228/.293/.382.154.263201522%8%85+0.3
Dan Conway
2007 · AAA
27 40 42→45 46→30 42 .200/.263/.303 .103.271 95 29% 6% 56 -1.3 .201/.257/.301 .100.279 107 30% 6% 53 -1.5 .154/.214/.214.061.2188032%5%10-1.0
Joe DeCarlo
2021 · AA
27 40→38 43→50 47→30 40 .197/.265/.308 .111.291 115 34% 7% 58 -1.2 .199/.260/.292 .093.305 96 35% 7% 51 -1.7 .163/.224/.224.061.2498036%7%16-1.3
Joe Hudson
2020 · AAA
29 38 44→45 47→40 40 .194/.247/.308 .114.270 124 32% 6% 50 -1.7 .198/.255/.324 .126.283 165 34% 7% 57 -1.2 .183/.287/.336.152.26122836%11%73-0.0
Jake Lowery
2017 · AA
27 36 43→45 48→30 43 .183/.252/.292 .109.264 105 33% 8% 48 -1.9 .194/.265/.297 .103.312 96 37% 9% 55 -1.4 .125/.205/.184.059.2604049%9%0-1.2
Brad Cresse
2006 · AAA
28 41 44→50 48→30 43 .204/.269/.324 .120.267 107 27% 7% 64 -0.8 .215/.275/.352 .137.301 156 32% 7% 73 -0.1 .205/.267/.343.138.29119035%7%69-0.2
Beamer Weems
2015 · AAA
28 43→47 43→45 46→40 40 .212/.261/.317 .106.280 117 28% 6% 58 -1.2 .207/.257/.304 .097.253 87 21% 6% 53 -1.5 .181/.232/.255.074.2213019%6%25-1.3
Dave Wallace
2007 · AA
27 38 46→45 45→40 42 .193/.269/.319 .126.271 147 33% 7% 63 -0.8 .194/.267/.317 .123.267 155 31% 8% 61 -1.0 .165/.243/.276.112.21916032%8%39-0.7
Caleb Hamilton
2022 · AAA
27 36 44→45 46→45 43 .181/.257/.295 .114.275 129 37% 9% 52 -1.6 .181/.267/.319 .138.277 186 38% 10% 63 -0.9 .145/.237/.274.129.20919339%10%37-0.8
Alex De Goti
2022 · AAA
27 42→46 43→45 49→50 43 .206/.269/.317 .110.278 108 28% 7% 61 -1.0 .201/.276/.293 .092.275 79 27% 9% 59 -1.1 .191/.273/.268.077.25961026%9%48-1.1
Christian Kelley
2021 · AAA
27 38 44→40 47→30 40 .194/.250/.304 .110.255 124 29% 6% 50 -1.7 .225/.287/.324 .099.318 97 30% 7% 70 -0.3 .244/.315/.309.065.3544029%9%78+0.0
Jorge Saez
2017 · AA
26 39 44→45 44→30 42 .198/.260/.314 .117.277 123 32% 7% 57 -1.2 .209/.275/.343 .134.298 175 34% 8% 71 -0.3 .192/.269/.319.127.26718234%9%61-0.3