Damon DuesSS San Antonio Missions
Age 28 L/R 6'0" / 180 lbs AA HR +13%BB +8% Svc 0.0 · Ctrl thru 2034 peak 0.1 · 2026
wRC+†70
AVG/OBP/SLG.212 / .293 / .308
PA136
HR2
K%28
BB%9
MLB%2%
BAT: -4.6 runs (wOBA-derived runs vs avg)-5BATRUN: +0.5 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.5 runs (Positional adjustment)+1POSREP: +3.9 runs (Replacement-level credit)+4REPTotal WAR: +0.10+0.1WAR
trajectory · 10 yrs
0.2peak
2027

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
2029Arb-1$0.8M
2030Arb-2$0.9M
2031Arb-3$0.9M
2032Ext / FA-deal$0.2M
2033Extbeyond projection horizon · no WAR estimate
2034Extbeyond projection horizon · no WAR estimate
Totals $-3M $-6M -$3M
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
202123 ROKACL Giants Orange 9883 14100 9314 23 .169.281.181.462 .012.259 329 .230 34 -7 -1 +0 +1 +3 -0.4
202224 A3 teams 11696 30420 19270 132 .312.426.396.822 .083.435 2316 .366 138 +5 +2 +0 +1 +3 1.2
202325 A+2 teams 313274 591201 34883 315 .215.309.270.579 .055.312 2811 .262 59 -14 +4 +0 +3 +9 0.2
202426 AA2 teams 128114 18100 12471 42 .158.244.167.411 .009.265 379 .205 15 -12 +0 +0 +1 +4 -0.7
202527 AA2 teams 10789 22331 17241 62 .247.374.382.756 .135.328 2216 .329 110 +1 +0 +0 +1 +3 0.6
▸ 2026 Season
202628 MLBSD 136121 27512 13381 41 .223.304.331.634 .107.292 2810 .277 70 -5 +0 +0 +1 +4 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202729 MLB 9%SD 194172 37713 18532 51 .215.297.320.617 .105.292 279 .280 72 -6 +1 -1 +2 +5 0.1
202830 MLB 19%SD 254226 48914 24702 61 .212.294.314.608 .102.290 289 .280 72 -8 +1 -2 +3 +7 0.1
202931 MLB 29%SD 265236 511014 25732 51 .216.297.318.614 .102.289 289 .278 71 -9 +1 -3 +3 +8 -0.1
203032 MLB 40%SD 262234 49914 24732 40 .209.288.308.596 .098.288 289 .275 68 -9 +1 -4 +3 +7 -0.2
203133 MLB 49%SD 242216 44813 22692 30 .204.283.292.575 .088.286 299 .270 64 -10 +1 -4 +3 +7 -0.4
203234 MLB 57%SD 207184 37712 19612 20 .201.283.283.566 .082.285 299 .263 60 -9 +0 -5 +2 +6 -0.6
▸ Career Totals (MLE all levels + projections)
Career 23222045 436761224 23665422 8518 .213.301.297.599 .084.299 2810 .274 68 -84 +10 -19 +25 +66 -0.2
/ 162G 650572 1222137 661836 245 .213.301.297.598 .084.299 2810 .274 68 -23 +3 -5 +7 +18 -0.1

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 ROKACL Giants Orange 9878 20310 14224 23 .256.396.321.716 .064.345 2214 .333 113 +1 -1 +3 0.4
202224 A+Eugene Emeralds 1811 5000 630 30 .455.647.4551.102 .000.625 1733 .484 228 +3 +1 +1 0.4
202224 ASan Jose Giants 5738 14310 1940 82 .368.579.5001.079 .132.412 733 .487 231 +8 +1 +2 1.1
202224 ROKACL Giants Orange 4137 14120 4120 20 .378.439.514.953 .135.560 2910 .421 180 +4 +0 +1 0.5
202325 A+Eugene Emeralds 250210 611500 36522 254 .290.399.362.761 .071.384 2114 .350 126 +7 +3 +7 1.8
202325 ROKACL Giants Black 6344 12101 18111 61 .273.492.364.856 .091.344 1729 .408 170 +5 +1 +2 0.8
202426 AARichmond Flying Squirrels 9681 15100 13281 41 .185.305.198.503 .012.278 2914 .247 48 -6 +0 +3 -0.3
202426 INTLSenadores de San Juan 3227 3010 540 01 .111.250.185.435 .074.130 1216 .216 24 -3 -0 +1 -0.2
202527 AASan Antonio Missions 7658 15221 18140 60 .259.434.414.848 .155.326 1824 .388 155 +5 +1 +2 0.8
202527 INTLAlgodoneros de Guasave 3125 10310 511 02 .400.516.6001.116 .200.417 316 .488 231 +5 -1 +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
Damon Dues (OGILVIE) 28 .212/.293/.308 .095.292 24 28% 9% 70 -0.1
Adam Greenberg
2008 · AAA
27 46→47 41→45 54→55 49 .217/.296/.326 .109.295 616 27% 9% 75 -0.0 .225/.295/.323 .098.300 718 25% 8% 73 -0.1 .233/.300/.296.064.30842424%7%64-0.4
Tzu-Wei Lin
2022 · MLB
28 44→49 41→45 51→50 42 .214/.264/.309 .095.291 814 28% 6% 56 -1.3 .205/.271/.320 .115.292 1215 32% 8% 63 -0.8 .140/.224/.229.089.198111834%10%17-0.9
Nolan Fontana
2019 · MLB
28 40→43 42→40 51→50 49 .195/.279/.303 .108.267 912 29% 10% 63 -0.9 .201/.288/.323 .122.291 1210 32% 10% 72 -0.2 .122/.235/.206.084.19110038%11%20-0.8
Sherman Johnson
2018 · AAA
28 41→50 41→45 52→50 51 .201/.281/.298 .097.254 815 23% 10% 62 -0.9 .207/.277/.311 .104.284 911 28% 9% 63 -0.8 .180/.265/.281.101.2578631%9%48-0.8
JJ Muno
2022 · AA
28 39 43→40 53→60 39 .192/.276/.299 .108.280 1120 33% 6% 62 -0.9 .204/.287/.299 .095.295 927 32% 7% 66 -0.6 .192/.283/.264.072.28063931%7%53-0.9
Garrett Stubbs
2021 · MLB
28 46 43→45 54→50 47 .227/.288/.344 .117.273 1016 21% 7% 76 +0.1 .224/.305/.344 .120.285 1213 24% 10% 84 +0.6 .215/.306/.321.106.276101024%11%78+0.0
Irving Lopez
2023 · AAA
28 43→50 40→45 50→40 44 .209/.272/.300 .091.268 78 24% 6% 58 -1.2 .223/.296/.342 .119.284 126 24% 8% 80 +0.4 .221/.304/.350.129.28113025%9%82+0.3
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
Alex De Goti
2023 · AAA
28 43→46 41→45 51→50 47 .206/.279/.307 .101.275 88 27% 8% 63 -0.8 .196/.273/.279 .083.270 610 28% 9% 54 -1.4 .174/.259/.229.054.24741028%9%33-1.3
Ryan Klosterman
2010 · AAA
28 43→45 41→45 51→55 45 .211/.271/.312 .101.273 916 25% 7% 61 -1.0 .206/.269/.324 .118.275 1213 28% 7% 63 -0.8 .157/.256/.260.103.23591934%12%40-0.4
Clay Dungan
2023 · AAA
27 43→51 42→45 53→55 45 .211/.271/.315 .103.257 1019 22% 6% 62 -0.9 .213/.286/.318 .105.287 821 27% 8% 69 -0.4 .212/.293/.322.110.29982429%9%71-0.2
Gosuke Katoh
2022 · AAA
27 47→49 43→45 48→50 45 .227/.291/.338 .110.315 1012 30% 8% 76 +0.1 .215/.274/.338 .123.287 1211 28% 7% 69 -0.4 .188/.247/.313.124.242131128%6%48-1.0
Evan Marzilli
2018 · AAA
27 44→45 38→40 50 48 .206/.284/.291 .085.292 515 29% 9% 61 -1.0 .198/.275/.289 .091.308 712 35% 9% 57 -1.2 .169/.248/.241.072.27141036%9%30-1.0
Frank Moore
2006 · AA
28 50→52 40→45 51→50 41 .234/.285/.331 .097.326 612 29% 6% 71 -0.3 .222/.271/.320 .098.304 79 28% 6% 62 -0.9 .210/.257/.303.093.2827627%6%50-0.7
Thomas Milone
2022 · AAA
27 50→46 45 53→55 44 .237/.299/.367 .130.329 1118 30% 8% 86 +0.8 .219/.287/.340 .121.339 1115 36% 8% 75 -0.0 .201/.274/.312.111.320101538%8%59-0.9
Riley Unroe
2023 · AAA
27 45→47 44→45 54→55 48 .220/.290/.337 .117.282 1119 26% 8% 76 +0.0 .221/.300/.344 .123.297 1323 28% 10% 82 +0.5 .221/.306/.342.121.297132628%10%80+0.2
Kramer Robertson
2023 · AAA
28 45→51 44→45 54→55 51 .219/.313/.337 .118.275 1221 24% 10% 86 +0.8 .204/.303/.288 .084.276 721 26% 10% 70 -0.3 .178/.290/.225.047.25332327%11%47-1.6
Matt Long
2015 · AAA
28 44→54 44→50 55 45 .216/.273/.334 .118.283 1120 27% 7% 67 -0.5 .202/.255/.306 .104.269 915 27% 6% 52 -1.6 .183/.234/.276.093.23971126%6%34-2.4
Ray-Patrick Didder
2023 · AAA
28 42→46 43→45 53→60 39 .207/.274/.314 .107.294 1121 32% 6% 63 -0.8 .188/.283/.307 .119.270 1328 33% 9% 67 -0.5 .158/.273/.275.117.225143434%10%52-1.1
Lance Zawadzki
2012 · MLB
27 44→49 43→45 54→50 42 .216/.263/.326 .110.282 1016 27% 6% 61 -1.0 .207/.247/.298 .091.278 815 27% 5% 46 -2.0 .195/.232/.258.063.26061427%4%25-0.9