Dallas MaciasOF Augusta GreenJackets
Age 22 L/R 6'0" / 203 lbs A BB -5% Svc 0.0 · Ctrl thru 2036 peak 0.8 · 2031
wRC+†34
AVG/OBP/SLG.210 / .273 / .324
PA62
HR1
K%30
BB%7
MLB%0%
BAT: -4.6 runs (wOBA-derived runs vs avg)-5BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.4 runs (Positional adjustment)-0POSREP: +1.8 runs (Replacement-level credit)+2REPTotal WAR: -0.30-0.3WAR
trajectory · 10 yrs
0.8peak
2031

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Arb-3$0.9M+0.8$4M+$3M
2032Ext / FA-deal$0.9M+0.7$3M+$2M
2033Ext / FA-deal$1.0M+0.5$2M+$1M
2034Ext / FA-deal$0.6M+0.3$2M+$0.9M
2035Ext / FA-deal$5M+0.1$0.5M-$5M
2036Ext / FA-deal$0.6M
Totals $9M $10M +$1M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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 AAugusta GreenJackets 3833 1000 2133 00 .030.158.030.188 .000.050 345 .103 -63 -7 +0 +0 -0 +1 -0.6
▸ 2026 Season (actual · ROS · total)
202622 AAugusta GreenJackets 5144 7100 4173 10 .159.275.182.456 .023.259 338 .221 27 -4 +0 +0 -0 +1 -0.3
ROS22 MLBATL 1110 1000 130 00 .100.182.100.282 .000.288 279 .268 63 -0 +0 +0 -0 +0 -0.0
TOT22 MLBATL 6254 8100 5203 10 .148.258.167.425 .019.235 328 .229 34 -5 +0 +0 -0 +2 -0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%ATL 160143 32514 13413 31 .224.302.357.659 .133.280 268 .289 80 -4 +0 +0 -1 +5 0.0
202824 MLB 26%ATL 277248 55927 23704 51 .222.298.359.657 .137.282 258 .299 87 -4 +1 +0 -2 +8 0.3
202925 MLB 43%ATL 350312 701229 30885 61 .224.303.362.665 .138.284 259 .305 91 -3 +1 +0 -2 +10 0.5
203026 MLB 58%ATL 398354 8114211 35996 71 .229.309.373.682 .144.285 259 .308 94 -3 +1 +0 -2 +11 0.7
203127 MLB 76%ATL 422374 8715312 381067 71 .233.315.385.700 .152.285 259 .308 94 -3 +1 +0 -3 +12 0.8
203228 MLB 84%ATL 433384 8815312 391097 71 .229.312.378.689 .148.284 259 .307 93 -4 +1 -1 -3 +12 0.7
203329 MLB 90%ATL 432383 8715212 391107 61 .227.310.371.681 .144.283 259 .305 91 -4 +1 -1 -3 +12 0.5
203430 MLBATL 429381 8414211 391116 50 .220.303.354.657 .134.282 269 .301 89 -5 +1 -2 -3 +12 0.3
203531 MLBATL 418371 8214211 381106 30 .221.304.358.662 .137.281 269 .298 86 -7 +1 -3 -3 +12 0.1
203632 MLBATL 402357 7813210 361086 10 .218.301.350.651 .132.279 279 .293 82 -8 +0 -4 -2 +11 -0.2
203733 MLBATL 374332 711229 341035 00 .214.296.343.640 .130.277 289 .288 78 -9 +0 -4 -2 +11 -0.5
203834 MLBATL 330293 611027 29945 00 .208.291.328.618 .119.276 289 .281 73 -10 +0 -5 -2 +9 -0.8
▸ Career Totals (MLE all levels + projections)
Career 44743975 87814825115 396116570 507 .221.303.357.660 .137.281 269 .297 86 -72 +7 -20 -27 +127 1.6
/ 162G 650578 12922417 5816910 71 .223.305.363.669 .140.284 269 .297 86 -10 +1 -3 -4 +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
202521 AAugusta GreenJackets 3832 1000 393 00 .031.184.031.215 .000.043 248 .137 -37 -6 +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
Dallas Macias (OGILVIE) 22 .210/.273/.324 .114.291 11 30% 7% 66 -0.1
Akil Baddoo
2021 · A
22 41→51 43→55 55 44 .198/.268/.314 .116.295 914 34% 8% 60 -1.0 .234/.308/.374 .140.313 1421 27% 10% 92 +1.2 .232/.314/.375.143.300152426%11%91+0.8
Travis Blankenhorn
2019 · A
22 40→43 45→55 51→50 38 .201/.261/.328 .127.288 117 33% 6% 61 -1.0 .215/.262/.357 .142.295 169 32% 5% 69 -0.4 .211/.283/.380.168.27621631%8%81+0.3
Enmanuel Valdez
2021 · A
22 39→46 42→60 46→45 40 .197/.250/.302 .104.268 109 30% 6% 50 -1.8 .217/.274/.390 .173.270 228 28% 7% 83 +0.6 .224/.290/.404.180.26824826%8%90+0.8
Parker Meadows
2022 · A
22 37→47 41→55 44→55 41 .185/.244/.280 .095.257 99 31% 7% 41 -2.3 .218/.280/.374 .156.279 1716 27% 7% 82 +0.5 .225/.292/.400.175.278202126%8%91+1.1
Carlos Guzman
2008 · A
22 40→48 43→50 53→50 44 .197/.278/.309 .112.288 119 33% 8% 64 -0.8 .221/.269/.333 .112.308 129 31% 6% 65 -0.7 .235/.287/.332.097.30810326%6%70-0.2
Nicky Delmonico
2014 · A
22 39→47 49→55 48→45 46 .202/.276/.345 .143.261 178 29% 8% 72 -0.2 .215/.272/.359 .144.291 156 30% 7% 74 -0.1 .233/.301/.393.161.28418424%8%92+0.9
Iverson Leonardo
2023 · A
21 37 44→50 49→50 40 .188/.259/.305 .117.281 129 36% 7% 55 -1.4 .194/.278/.291 .097.346 78 42% 9% 59 -1.1 .146/.273/.221.075.3593452%12%39-0.5
James Outman
2019 · A
22 40→49 47→60 53→50 39 .203/.260/.335 .132.285 1511 34% 6% 63 -0.9 .196/.265/.334 .138.273 1613 33% 7% 65 -0.7 .223/.317/.418.195.310251434%10%107+2.0
Nick Maton
2019 · A
22 41 43→50 47→45 40 .205/.254/.316 .111.280 106 30% 6% 54 -1.4 .206/.270/.307 .101.282 98 28% 7% 59 -1.1 .214/.305/.368.154.26418425%10%88+0.6
Daniel Schneemann
2019 · A
22 39→49 40→50 50 43 .189/.254/.283 .094.277 76 33% 8% 46 -2.0 .211/.272/.298 .087.290 78 28% 7% 57 -1.2 .226/.305/.377.151.297151328%10%89+0.7
Roman Pena
2009 · A
22 42→52 43→50 45 38 .208/.259/.316 .108.298 106 33% 6% 57 -1.2 .196/.258/.303 .107.276 108 31% 7% 53 -1.5 .233/.303/.392.159.31216729%9%92+0.8
Bo Naylor
2022 · AA
22 34→43 46→55 53→50 39 .181/.240/.306 .126.262 1410 36% 7% 46 -2.0 .213/.300/.385 .172.281 2013 30% 10% 93 +1.3 .216/.308/.399.183.269221228%11%97+1.2
Jack Suwinski
2021 · A
23 38→41 44→60 48→50 41 .191/.252/.307 .116.277 125 34% 7% 52 -1.6 .211/.294/.396 .185.299 249 35% 10% 94 +1.3 .210/.307/.421.211.281281034%11%102+1.6
Luis Liberato
2018 · A
22 43→51 44→50 50 40 .209/.260/.333 .124.300 107 33% 6% 61 -1.0 .216/.262/.350 .134.285 157 29% 6% 67 -0.5 .210/.278/.360.150.29016932%8%75+0.0
Chris Meyers
2022 · A
23 41→46 42→50 51→40 45 .201/.269/.304 .103.264 911 26% 7% 59 -1.1 .222/.280/.362 .140.293 167 29% 6% 79 +0.3 .226/.286/.378.152.29419329%6%82+0.3
Grant Witherspoon
2019 · A
22 40→45 41→55 52→50 37 .196/.247/.291 .094.295 89 35% 6% 44 -2.1 .200/.250/.306 .106.278 1112 31% 6% 50 -1.7 .216/.275/.377.161.291211432%7%77+0.1
Sam Hilliard
2016 · A
22 46→48 44→55 53→55 44 .221/.283/.347 .127.309 1010 30% 8% 75 -0.0 .209/.260/.321 .112.328 1118 37% 6% 58 -1.2 .203/.279/.381.178.280211834%9%80+0.2
Ryan Schimpf
2011 · A
23 39 43→60 52→45 39 .192/.257/.314 .121.284 910 34% 6% 56 -1.3 .198/.273/.355 .157.273 177 32% 8% 74 -0.1 .201/.284/.419.218.23528228%9%91+0.9
Conner Capel
2019 · A
22 41→45 44→45 47→55 44 .208/.266/.330 .122.270 1111 27% 7% 63 -0.8 .210/.262/.328 .118.279 1211 28% 6% 61 -1.0 .216/.288/.339.123.271131924%8%71-0.2
Mike Daniel
2007 · A
22 39→49 42→45 48→50 42 .193/.256/.293 .100.274 1011 32% 7% 50 -1.8 .232/.283/.346 .114.314 1114 28% 6% 74 -0.1 .239/.288/.351.112.317111527%6%75+0.0