Dakota JordanOF Eugene Emeralds
Age 23 R/R 6'0" / 231 lbs A+ BB -3% Svc 0.0 · Ctrl thru 2034 peak 1.6 · 2029
wRC+†80
AVG/OBP/SLG.219 / .282 / .364
PA320
HR9
SB12
K%30
BB%7
MLB%4%
BAT: -7.2 runs (wOBA-derived runs vs avg)-7BATRUN: +2.0 runs (SB/CS + UBR baserunning)+2RUNFLD: -0.3 runs (Defensive runs vs avg)-0FLDPOS: -1.9 runs (Positional adjustment)-2POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: +0.20+0.2WAR
Scouting · nowfuture
HIT
3040
PWR
5060
SPD
6061
FLD
4051
EYE
4240
trajectory · 10 yrs
1.7peak
2030

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+1.6$14M+$13M
2030Arb-2$0.9M+1.6$14M+$14M
2031Arb-3$0.9M+1.5$14M+$13M
2032Ext / FA-deal$3M+1.3$12M+$10M
2033Ext / FA-deal$4M+1.1$11M+$7M
2034Ext / FA-deal$4M+0.8$4M+$0.1M
Totals $13M $70M +$57M

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
202522 ASan Jose Giants 416382 911058 251335 274 .238.294.353.647 .115.339 326 .282 74 -12 +4 +0 -2 +12 0.1
▸ 2026 Season (actual · ROS · total)
202623 A+Eugene Emeralds 7771 17402 4340 50 .239.280.380.660 .141.405 445 .293 82 -2 +1 +0 -0 +2 0.1
ROS23 MLBSF 243222 50917 17782 71 .225.286.369.656 .144.305 327 .289 79 -6 +1 -0 -1 +7 0.1
TOT23 MLBSF 320293 671319 211122 121 .229.285.372.657 .143.331 357 .290 80 -7 +2 -0 -2 +9 0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 13%SF 459418 9717214 341254 132 .232.296.383.679 .151.297 277 .306 93 -4 +2 -1 -3 +13 0.8
202825 MLB 28%SF 494449 10718317 381324 142 .238.303.405.709 .167.299 278 .316 100 -0 +2 -1 -3 +14 1.3
202926 MLB 45%SF 513462 11319319 411365 142 .245.313.422.735 .177.300 278 .321 104 +2 +2 -1 -3 +15 1.6
203027 MLB 60%SF 521469 11419319 421385 142 .243.312.418.730 .175.300 268 .322 104 +2 +2 -1 -3 +15 1.6
203128 MLB 70%SF 522469 11419319 431395 131 .243.313.418.731 .175.299 278 .320 103 +2 +2 -1 -3 +15 1.5
203229 MLB 78%SF 515464 11119318 421394 121 .239.308.409.717 .170.298 278 .318 102 +1 +2 -2 -3 +15 1.3
203330 MLB 86%SF 507456 10818218 421384 120 .237.307.404.710 .167.297 278 .315 99 -0 +2 -3 -3 +14 1.1
203431 MLB 92%SF 494446 10518217 411374 110 .235.305.399.705 .164.296 288 .311 96 -2 +2 -3 -3 +14 0.8
203532 MLBSF 477431 10017216 391354 100 .232.302.392.694 .160.294 288 .307 93 -4 +2 -4 -3 +14 0.5
203633 MLBSF 448404 9115214 371304 90 .225.297.376.673 .151.293 298 .301 89 -6 +2 -5 -3 +13 0.1
203734 MLBSF 402363 8013212 331203 80 .220.291.366.657 .146.291 308 .294 83 -8 +2 -5 -2 +11 -0.2
203835 MLBSF 348314 6711110 281073 70 .213.284.350.634 .137.289 318 .286 77 -9 +1 -6 -2 +10 -0.6
▸ Career Totals (MLE all levels + projections)
Career 63595749 134822234208 502178756 17115 .234.302.393.696 .159.301 288 .308 94 -42 +28 -33 -38 +180 9.7
/ 162G 650588 13723321 511836 172 .233.301.389.690 .156.300 288 .308 94 -4 +3 -3 -4 +18 1.0

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
202522 ASan Jose Giants 416370 11515614 37955 274 .311.381.497.878 .186.381 239 .385 152 +25 +4 +12 4.1

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
Dakota Jordan (OGILVIE) 23 30→40 50→60 60→61 40 .219/.282/.364 .145.290 98 30% 7% 80 +0.2
Jonny DeLuca
2022 · A
24 41→37 53→60 56→55 45 .219/.277/.395 .176.253 2215 24% 7% 85 +0.7 .224/.289/.415 .191.254 2316 22% 7% 96 +1.5 .221/.290/.405.184.247221921%7%91+0.7
Aristides Aquino
2017 · A
23 40 49→65 50 36 .211/.249/.363 .152.268 1710 28% 4% 65 -0.7 .202/.246/.370 .168.266 218 32% 5% 66 -0.6 .218/.283/.452.234.26735933%7%98+1.0
Will Benson
2021 · A
23 33→43 50→55 52→55 44 .178/.260/.325 .147.263 1913 38% 10% 61 -1.0 .207/.302/.379 .172.307 1918 36% 11% 92 +1.2 .221/.322/.401.180.313182632%12%102+1.4
Christopher Morel
2022 · AAA
23 38→46 48→60 53→50 36 .199/.247/.340 .141.285 1615 35% 5% 58 -1.2 .223/.291/.421 .198.297 2512 33% 8% 98 +1.6 .224/.302/.431.208.280281030%9%102+1.8
Brandon Meredith
2013 · A
23 46→38 51→55 52→45 42 .231/.293/.396 .165.303 1811 29% 7% 92 +1.2 .212/.289/.364 .152.280 177 29% 8% 83 +0.6 .195/.279/.340.145.25318529%9%70-0.2
Steven Souza Jr.
2013 · A
24 38→48 49→60 51→55 41 .199/.263/.344 .145.270 1716 32% 7% 67 -0.5 .245/.315/.426 .181.319 2121 29% 8% 109 +2.4 .258/.336/.452.194.336232529%10%124+2.2
Alexander Canario
2022 · A
22 37→34 51→60 50 37 .200/.246/.359 .159.282 2014 36% 6% 63 -0.8 .212/.272/.410 .198.294 2614 36% 7% 88 +0.9 .209/.277/.424.216.279301336%8%90+0.6
Davis Schneider
2023 · AAA
24 41→44 50→55 53→50 45 .206/.286/.363 .157.300 1812 36% 10% 82 +0.5 .219/.316/.410 .191.291 2310 31% 11% 106 +2.2 .213/.322/.409.196.27524930%12%106+1.6
Daulton Varsho
2019 · A
23 47→49 47→60 55→50 42 .234/.291/.364 .130.302 1518 27% 6% 83 +0.6 .241/.303/.414 .173.282 2017 22% 7% 102 +1.8 .235/.301/.435.201.269261523%8%102+1.6
Kyle Lewis
2018 · A
23 44→46 47→55 48→40 40 .219/.277/.347 .128.311 157 33% 6% 72 -0.2 .221/.275/.362 .141.317 165 34% 7% 76 +0.1 .237/.309/.392.156.33521633%9%95+0.8
Joe Benson
2011 · AA
23 45→50 52→60 51→50 41 .226/.298/.400 .174.315 1816 33% 7% 96 +1.5 .220/.286/.381 .161.306 1714 32% 7% 86 +0.8 .202/.268/.342.140.286131432%7%66-0.4
Matt McLain
2023 · AA
23 41→51 51→55 58→55 46 .207/.294/.372 .165.295 1824 34% 10% 87 +0.8 .244/.322/.424 .180.328 2021 30% 9% 112 +2.6 .242/.325/.399.157.318182128%10%104+1.4
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
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
Alex Glenn
2015 · A
24 42 50→55 56→50 42 .217/.272/.373 .156.281 1713 29% 6% 77 +0.1 .210/.253/.348 .138.278 148 29% 5% 63 -0.9 .190/.231/.316.126.25712430%4%41-1.2
Zach Kokoska
2023 · A
24 43 49→55 55 42 .221/.285/.371 .150.283 1716 28% 6% 82 +0.5 .201/.268/.369 .168.279 2117 35% 6% 76 +0.0 .171/.243/.342.171.244231939%6%56-0.7
Edward Olivares
2019 · A
23 45→53 47→55 52→55 38 .226/.265/.365 .139.280 1413 25% 4% 72 -0.2 .225/.272/.356 .131.277 1518 24% 5% 73 -0.1 .259/.316/.431.172.293201619%6%108+1.4
Kevin Smith
2019 · A
23 43→45 48→55 53→50 37 .218/.260/.361 .143.293 1614 31% 5% 69 -0.4 .204/.251/.364 .160.286 1914 35% 5% 67 -0.5 .203/.254/.364.161.273211533%6%65-0.5
Brandon Guyer
2009 · A
23 41→51 48→55 52→55 40 .213/.265/.361 .148.256 1517 24% 4% 72 -0.2 .244/.292/.381 .137.290 1122 19% 5% 87 +0.8 .270/.322/.435.165.316142519%5%110+1.8
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