Cody MillerSS Rome Emperors
Age 22 R/R 5'11" / 189 lbs A+ BB -5% Svc 0.0 · Ctrl thru 2035 peak 1.1 · 2031
wRC+†13
AVG/OBP/SLG.212 / .276 / .329
PA117
HR2
SB6
K%30
BB%7
MLB%0%
BAT: -11.5 runs (wOBA-derived runs vs avg)-12BATRUN: +1.3 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.3 runs (Positional adjustment)+1POSREP: +3.3 runs (Replacement-level credit)+3REPTotal WAR: -0.60-0.6WAR
Scouting · nowfuture
HIT
4545
PWR
4040
SPD
6060
FLD
5050
trajectory · 10 yrs
1.0peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M+1.0$9M+$8M
2031Arb-3$0.9M+1.1$10M+$9M
2032Ext / FA-deal$0.9M+1.0$10M+$9M
2033Ext / FA-deal$2M+0.8$4M+$2M
2034Ext / FA-deal$2M+0.6$3M+$1M
2035Ext / FA-deal$2M+0.4$2M+$0.1M
Totals $8M $38M +$30M

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
202521 A+2 teams 118110 27312 5442 103 .245.291.345.636 .100.385 374 .268 64 -5 +1 +0 +1 +3 0.1
▸ 2026 Season (actual · ROS · total)
202622 A+Rome Emperors 7569 8202 4351 50 .116.176.232.408 .116.182 475 .169 -12 -10 +1 +0 +1 +2 -0.6
ROS22 MLBATL 4239 7101 3140 10 .179.238.282.520 .103.278 337 .261 58 -2 +0 +0 +0 +1 -0.0
TOT22 MLBATL 117108 15303 7491 60 .139.198.250.448 .111.211 426 .202 13 -12 +1 +0 +1 +3 -0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%ATL 200181 38715 15492 51 .210.278.343.620 .133.258 248 .279 72 -6 +1 +0 +2 +6 0.2
202824 MLB 26%ATL 308277 601128 25743 81 .217.289.357.646 .141.261 248 .287 77 -8 +1 +0 +3 +9 0.5
202925 MLB 44%ATL 372334 7314210 31884 101 .219.293.362.655 .144.263 248 .292 81 -8 +2 +0 +4 +11 0.8
203026 MLB 59%ATL 414371 8116211 35985 102 .218.294.361.656 .143.264 248 .294 83 -8 +1 +0 +4 +12 1.0
203127 MLB 76%ATL 433388 8516212 371035 111 .219.295.363.659 .144.264 249 .294 83 -8 +2 +0 +5 +12 1.1
203228 MLB 84%ATL 441395 8516212 381065 111 .215.292.357.649 .142.264 249 .293 82 -9 +2 -1 +5 +12 1.0
203329 MLB 90%ATL 439393 8416211 381065 101 .214.291.349.640 .135.263 249 .291 81 -10 +2 -1 +5 +12 0.8
203430 MLBATL 434388 8316211 381075 101 .214.292.351.643 .137.261 259 .288 78 -11 +2 -2 +5 +12 0.6
203531 MLBATL 423379 7915210 371064 90 .208.286.338.623 .129.260 259 .284 76 -12 +2 -3 +5 +12 0.4
203632 MLBATL 407365 7614210 351044 80 .208.285.340.624 .132.258 269 .279 72 -13 +2 -4 +4 +12 0.1
203733 MLBATL 378338 691328 33994 80 .204.283.325.608 .121.256 269 .274 68 -14 +2 -4 +4 +11 -0.2
203834 MLBATL 335300 591117 29913 70 .197.274.310.584 .113.255 279 .268 63 -14 +1 -5 +4 +9 -0.5
▸ Career Totals (MLE all levels + projections)
Career 47444258 90616923118 399118951 11812 .213.288.346.634 .134.265 258 .285 76 -126 +19 -20 +51 +134 5.9
/ 162G 650583 12423316 551637 162 .213.288.345.633 .132.265 258 .285 76 -17 +2 -3 +7 +18 0.8

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
202521 A+Rome Emperors 7064 19311 5221 61 .297.357.422.779 .125.439 317 .349 125 +2 +1 +2 0.5
202521 AAugusta GreenJackets 4843 16201 3101 42 .372.426.488.914 .116.455 216 .401 165 +4 +0 +1 0.5

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
Cody Miller (OGILVIE) 22 45 40 60 .212/.276/.329 .118.290 23 30% 7% 68 -0.1
Juan Mora
2022 · A
22 46 44→45 55 46 .222/.297/.343 .121.288 1115 26% 8% 81 +0.4 .226/.283/.335 .109.306 109 28% 5% 72 -0.2 .220/.277/.325.105.29210827%5%65-0.3
Cooper Bowman
2022 · A
22 44→42 45 56→60 41 .216/.289/.348 .132.304 1218 31% 7% 79 +0.3 .200/.277/.317 .117.285 1234 32% 8% 66 -0.6 .200/.273/.320.120.271124029%8%62-0.6
Blaze Alexander
2021 · A
22 45→48 42→50 51→50 43 .218/.284/.328 .110.300 911 29% 7% 71 -0.3 .204/.275/.332 .128.317 1412 38% 7% 69 -0.4 .220/.308/.345.126.328131034%8%84+0.4
Johan Lopez
2022 · A
22 44 44→45 56→55 44 .214/.289/.333 .120.290 1117 29% 8% 75 -0.0 .194/.265/.298 .104.295 1012 35% 7% 56 -1.3 .168/.239/.253.086.25381235%7%31-1.1
Cayden Wallace
2023 · A
21 46→43 43→45 56→50 42 .224/.277/.340 .116.301 915 28% 6% 70 -0.3 .218/.275/.336 .118.288 1012 27% 6% 69 -0.4 .212/.270/.327.116.280101327%6%62-0.6
Jonathan Galvez
2013 · AA
22 47→48 45 53→55 40 .230/.284/.354 .125.321 1218 31% 6% 77 +0.1 .229/.280/.335 .106.318 915 29% 6% 70 -0.3 .223/.276/.318.096.30981329%6%61-0.6
Matt Williams
2012 · A
22 45→48 42→40 54→50 44 .218/.280/.329 .111.281 915 25% 7% 69 -0.4 .222/.273/.310 .088.276 614 21% 6% 60 -1.0 .215/.288/.277.063.28031523%9%57-0.7
Evan Van Hoosier
2016 · A
22 48→45 42→50 55→50 41 .231/.276/.352 .121.301 79 25% 5% 72 -0.2 .221/.267/.319 .098.296 610 26% 5% 60 -1.0 .181/.239/.269.088.24291728%4%34-0.5
Andy Burns
2013 · A
22 44→54 47→50 53→55 44 .218/.289/.364 .146.294 1313 29% 8% 82 +0.5 .236/.286/.372 .136.293 1216 23% 6% 82 +0.5 .246/.291/.367.121.297101520%5%81+0.4
Christopher Bostick
2015 · A
22 43→53 44→45 52→55 40 .212/.265/.333 .122.290 1015 30% 6% 64 -0.8 .222/.269/.335 .113.294 915 26% 5% 66 -0.6 .235/.286/.345.110.3069725%5%72-0.2
Tim Tawa
2022 · A
23 45→43 47→50 58→50 45 .225/.290/.366 .142.304 1417 30% 8% 83 +0.6 .208/.272/.334 .126.270 1511 28% 8% 67 -0.5 .204/.271/.351.147.261181228%8%69-0.3
Corey Toups
2016 · A
23 48→47 41→45 56→50 46 .230/.290/.340 .110.297 716 24% 7% 76 +0.0 .212/.273/.328 .116.301 1016 31% 6% 66 -0.6 .197/.262/.309.112.294101634%7%54-1.0
Tyler Goeddel
2015 · A
22 45→49 41→45 56→55 42 .216/.273/.320 .104.300 718 29% 6% 63 -0.8 .226/.284/.340 .114.295 917 25% 7% 73 -0.1 .224/.286/.334.110.283101823%7%70-0.2
Ryan Bliss
2022 · A
22 43→48 47→45 51→60 39 .219/.268/.356 .137.296 1515 31% 6% 71 -0.3 .204/.265/.328 .124.278 1230 30% 7% 63 -0.9 .206/.275/.334.128.276124229%7%66-0.6
Seth Mejias-Brean
2013 · A
22 46→53 46→45 53→45 45 .232/.286/.365 .134.280 148 22% 6% 81 +0.4 .238/.300/.347 .109.297 95 22% 8% 82 +0.5 .235/.303/.339.104.2989523%8%77+0.1
Clay Fuller
2009 · A
22 46 42→45 58→55 44 .214/.295/.326 .111.311 820 31% 8% 75 -0.0 .208/.279/.319 .111.294 1118 31% 8% 66 -0.6 .200/.266/.307.107.277121831%7%55-1.0
Hunter Jones
2015 · A
23 43→53 46→45 55 40 .213/.270/.339 .126.291 1316 31% 6% 68 -0.5 .206/.263/.295 .089.279 719 27% 6% 53 -1.5 .228/.284/.328.099.29571624%6%67-0.4
Corey Joyce
2021 · A
22 44 40→45 50 40 .212/.268/.307 .095.307 88 32% 6% 58 -1.2 .203/.290/.313 .110.295 1112 32% 9% 70 -0.3 .212/.315/.318.105.30191429%10%80+0.2
Nate Eaton
2019 · A
22 50→51 42→50 57→60 42 .233/.290/.355 .122.324 713 29% 7% 79 +0.3 .199/.252/.290 .091.271 613 27% 6% 46 -2.0 .211/.272/.336.126.275153228%6%65-0.5
Justin Trapp
2013 · A
22 44→45 41→45 54→55 40 .212/.269/.314 .103.292 917 30% 6% 60 -1.0 .215/.269/.310 .095.294 915 28% 6% 59 -1.1 .211/.263/.291.080.28781628%5%49-1.5