Zander Darby3B Eugene Emeralds
Age 23 L/R 6'2" / 218 lbs A+ BB -3% Svc 0.0 · Ctrl thru 2035 peak 1.4 · 2030
wRC+†72
AVG/OBP/SLG.207 / .290 / .335
PA308
HR7
SB9
K%32
BB%9
MLB%0%
BAT: -9.8 runs (wOBA-derived runs vs avg)-10BATRUN: +1.3 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.1 runs (Positional adjustment)+1POSREP: +8.7 runs (Replacement-level credit)+9REPTotal WAR: +0.10+0.1WAR
Scouting · nowfuture
HIT
5050
PWR
4040
SPD
5050
EYE
5460
trajectory · 10 yrs
1.4peak
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+1.4$13M+$12M
2031Arb-3$0.9M+1.3$12M+$11M
2032Ext / FA-deal$0.9M+1.1$11M+$10M
2033Ext / FA-deal$2M+0.9$4M+$3M
2034Ext / FA-deal$2M+0.7$4M+$2M
2035Ext / FA-deal$1M+0.4$2M+$0.6M
Totals $8M $45M +$37M

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
202421 ASan Jose Giants 5749 9003 7250 00 .184.286.367.653 .184.273 4412 .296 85 -1 +0 +0 +0 +2 0.1
202522 A2 teams 313268 521224 311016 111 .194.292.299.590 .104.282 3210 .261 58 -15 +2 +0 +1 +9 -0.3
▸ 2026 Season (actual · ROS · total)
202623 A+Eugene Emeralds 6259 13302 3270 30 .220.258.373.631 .153.367 445 .261 58 -3 +1 +0 +0 +2 -0.0
ROS23 MLBSF 246221 46916 21822 61 .208.283.339.622 .131.300 339 .284 75 -7 +1 +0 +1 +7 0.2
TOT23 MLBSF 308280 591218 241092 91 .211.278.346.624 .136.311 358 .279 72 -10 +1 +0 +1 +9 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%SF 341304 691329 31923 71 .227.305.372.676 .145.289 279 .303 90 -4 +1 +0 +1 +10 0.8
202825 MLB 25%SF 398354 8015211 371064 81 .226.306.373.679 .147.290 279 .308 94 -3 +1 +0 +1 +11 1.1
202926 MLB 43%SF 433384 8817212 411145 91 .229.312.378.689 .148.291 269 .310 96 -2 +1 +0 +2 +12 1.3
203027 MLB 58%SF 449398 9117213 431185 91 .229.312.379.691 .151.291 2610 .311 96 -2 +1 +0 +2 +13 1.4
203128 MLB 68%SF 455403 9318213 441215 81 .231.314.382.696 .151.290 2710 .309 95 -3 +1 -1 +2 +13 1.3
203229 MLB 77%SF 451399 9117213 441215 80 .228.312.378.691 .150.290 2710 .307 93 -3 +2 -1 +2 +13 1.1
203330 MLB 94%SF 445395 8917212 431214 70 .225.308.370.677 .144.288 2710 .304 91 -5 +1 -2 +2 +13 0.9
203431 MLBSF 433384 8616212 421194 60 .224.307.370.677 .146.287 2710 .300 88 -6 +1 -3 +2 +12 0.7
203532 MLBSF 416369 8115211 401174 60 .220.303.360.663 .141.285 2810 .296 85 -7 +1 -4 +1 +12 0.4
203633 MLBSF 388344 731419 371124 50 .212.296.337.633 .125.284 2910 .290 80 -9 +1 -4 +1 +11 0.1
203734 MLBSF 344305 641218 331023 50 .210.293.334.628 .125.282 3010 .284 75 -10 +1 -5 +1 +10 -0.3
▸ Career Totals (MLE all levels + projections)
Career 51694577 101219223136 494145154 957 .221.304.362.667 .141.290 2810 .299 87 -76 +16 -20 +18 +146 8.8
/ 162G 650576 12724317 621827 121 .220.304.361.665 .141.289 2810 .299 87 -9 +2 -2 +2 +18 1.1

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
202421 ASan Jose Giants 5747 11004 9170 00 .234.357.489.847 .255.259 3016 .367 139 +3 +0 +2 0.4
202522 A+Eugene Emeralds 6957 7301 9292 10 .123.265.228.493 .105.214 4213 .238 40 -5 +0 +2 -0.3
202522 ASan Jose Giants 244196 571425 37454 101 .291.414.459.873 .168.342 1815 .381 150 +14 +2 +7 2.3

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
Zander Darby (OGILVIE) 23 50 40 50 60 .207/.290/.335 .128.292 76 32% 9% 76 +0.0
Canaan Smith-Njigba
2021 · A
22 47 44→45 50→55 45 .230/.291/.353 .122.306 1210 28% 8% 79 +0.3 .230/.300/.348 .118.336 1017 32% 9% 82 +0.5 .228/.299/.352.124.336112133%9%80+0.2
James Ramsey
2014 · AA
24 46→50 44→45 50→45 45 .220/.297/.339 .120.316 1211 32% 9% 79 +0.3 .227/.289/.354 .127.323 137 32% 7% 79 +0.3 .224/.280/.348.124.32013532%6%72-0.2
Jordan Danks
2010 · AA
23 48→50 44→50 50 43 .232/.293/.355 .123.324 1111 31% 7% 81 +0.4 .226/.285/.345 .119.330 1114 32% 7% 75 -0.0 .237/.309/.368.131.327151130%9%88+0.6
Shed Long Jr.
2019 · AA
23 47→48 47→50 51→50 43 .233/.294/.371 .138.315 1413 30% 7% 85 +0.7 .225/.285/.368 .143.305 1510 30% 7% 82 +0.5 .216/.276/.363.148.28516829%8%73-0.0
Byron Wiley
2010 · A
23 46→45 46→45 47→45 48 .218/.301/.357 .139.322 127 34% 10% 85 +0.7 .216/.294/.342 .126.327 138 35% 10% 79 +0.3 .184/.271/.291.107.28117838%10%54-0.4
Brett Harris
2022 · A
24 45→50 45 49→50 43 .220/.290/.339 .119.296 1211 29% 7% 76 +0.1 .239/.311/.381 .142.289 1610 22% 8% 96 +1.5 .236/.316/.369.133.28415922%8%91+0.9
Matthew Acosta
2022 · A
24 45 44→45 53→50 46 .219/.290/.343 .124.299 119 29% 8% 77 +0.1 .205/.273/.316 .111.294 1113 32% 8% 63 -0.9 .181/.252/.276.095.261101633%8%42-1.4
Jeisson Rosario
2023 · AA
23 44→50 43→45 47→50 48 .215/.292/.325 .110.294 1012 29% 9% 73 -0.1 .207/.293/.313 .106.313 1012 33% 10% 71 -0.3 .192/.285/.283.091.30591236%11%57-0.7
Logan Vick
2014 · A
23 48 41→45 51→50 56 .228/.322/.334 .106.302 715 25% 12% 89 +0.9 .195/.288/.290 .095.289 713 31% 11% 63 -0.8 .147/.251/.227.080.23161335%12%30-2.1
Jarrett Parker
2012 · A
23 45→50 44→55 51→50 46 .214/.295/.330 .116.320 1113 34% 10% 76 +0.1 .210/.288/.351 .141.346 1515 40% 9% 79 +0.3 .230/.305/.409.179.334221235%8%97+1.2
Jeremy Pickrel
2006 · A
23 49 45 52→50 42 .230/.299/.357 .127.338 1211 33% 7% 85 +0.7 .203/.267/.310 .107.356 812 42% 7% 59 -1.1 .167/.231/.260.093.33251348%7%28-1.9
Parker Meadows
2023 · AA
23 41→47 49→55 51→55 43 .211/.270/.356 .146.270 1612 28% 7% 72 -0.2 .223/.290/.386 .163.284 1819 27% 8% 89 +0.9 .223/.295/.390.167.282182227%9%89+0.8
Bryson Stott
2022 · AAA
24 49→56 47→45 48→55 47 .240/.306/.374 .134.324 1410 29% 9% 92 +1.2 .247/.306/.374 .127.297 1320 20% 8% 92 +1.2 .255/.321/.377.122.291122916%8%94+1.3
Ryan Kalish
2010 · AA
22 49→51 44→50 52→55 46 .237/.296/.355 .118.303 1214 25% 8% 82 +0.5 .240/.297/.372 .132.298 1423 23% 7% 87 +0.8 .232/.286/.357.124.293122624%7%76+0.0
Tyler Black
2023 · A
23 48→52 41→50 50→60 54 .223/.318/.326 .103.296 714 25% 11% 85 +0.7 .237/.328/.389 .152.306 1330 25% 10% 105 +2.1 .235/.328/.388.154.304143525%10%101+1.4
Wade Meckler
2023 · A
23 52→62 41→40 50 51 .243/.322/.355 .112.325 78 25% 10% 94 +1.3 .267/.336/.369 .102.347 711 23% 9% 102 +1.9 .267/.337/.360.093.34461222%9%96+1.0
Juan Carlos Gamboa
2014 · AAA
23 46 43→45 48→50 42 .223/.272/.331 .108.299 109 28% 6% 66 -0.6 .239/.292/.343 .104.299 98 22% 6% 77 +0.1 .255/.314/.357.101.32811524%7%90+0.5
LeVon Washington
2014 · A
23 52 41→45 52→50 48 .240/.315/.351 .111.340 714 29% 9% 89 +1.0 .237/.302/.345 .108.333 811 29% 8% 82 +0.5 .225/.288/.321.096.3157829%7%67-0.2
Garrett Mitchell
2022 · AA
23 47 45→50 56→60 48 .223/.306/.345 .122.333 1420 34% 10% 85 +0.7 .239/.311/.374 .135.355 1326 33% 9% 94 +1.3 .249/.323/.406.156.360163233%9%102+0.8
Aaron Zavala
2023 · AA
23 45→43 46→40 50 50 .223/.315/.351 .128.295 1413 28% 10% 90 +1.0 .189/.281/.288 .099.309 910 38% 10% 60 -1.0 .173/.263/.266.093.2969941%10%46-1.6