Luis OgandoSS FCL Yankees
Age 22 R/R 5'10" / 175 lbs ROK HR +8%BB +8% Svc 0.0 · Ctrl thru 2037 peak 1.3 · 2031
wRC+†62
AVG/OBP/SLG.208 / .275 / .306
PA58
HR1
K%29
BB%7
MLB%0%
BAT: -2.5 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.6 runs (Positional adjustment)+1POSREP: +1.6 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
1.3peak
2031

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2032
Service   0 yrs (est)
Team Control Through   2037
First FA Year   2038
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2032
2027MiLBstill in minors · estimated debut 2032
2028MiLBstill in minors · estimated debut 2032
2029MiLBstill in minors · estimated debut 2032
2030MiLBstill in minors · estimated debut 2032
2031MiLBstill in minors · estimated debut 2032
2032Ext / FA-deal$0.9M+1.2$11M+$11M
2033Ext / FA-deal$1.0M+1.1$11M+$10M
2034Ext / FA-deal$1.0M+0.9$5M+$4M
2035Ext / FA-deal$1M+0.6$3M+$2M
2036Ext / FA-deal$1M+0.3$2M+$0.6M
2037Ext / FA-deal$7M
Totals $13M $32M +$19M
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
202218 ROKDSL NYY Bombers 121106 22401 10285 153 .208.306.274.579 .066.273 238 .261 58 -6 +2 +0 +1 +3 0.1
202319 ROKDSL NYY Yankees 148129 30701 10556 136 .233.317.310.627 .078.382 377 .279 72 -5 +0 +0 +2 +4 0.1
202420 ROKFCL Yankees 9783 16112 6266 101 .193.295.301.596 .108.246 276 .242 43 -6 +2 +0 +1 +3 -0.1
▸ 2026 Season
202622 MLBNYY 5853 11201 4171 10 .208.276.302.578 .094.289 297 .266 62 -3 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%NYY 10898 22412 8301 20 .224.290.347.637 .122.291 287 .283 75 -3 +0 +0 +1 +3 0.2
202824 MLB 26%NYY 238214 49926 19653 41 .229.301.374.675 .145.292 278 .293 83 -5 +0 +0 +3 +7 0.5
202925 MLB 43%NYY 324290 661228 27874 61 .228.302.366.668 .138.293 278 .300 88 -4 +1 +0 +3 +9 0.9
203026 MLB 58%NYY 381341 7814210 321025 61 .229.304.370.674 .141.294 278 .304 91 -4 +1 +0 +4 +11 1.2
203127 MLB 76%NYY 410367 8515311 351105 71 .232.307.379.686 .147.294 279 .304 91 -4 +1 +0 +4 +12 1.3
203228 MLB 84%NYY 426381 8715311 371155 61 .228.305.370.675 .142.294 279 .303 90 -5 +1 -1 +5 +12 1.2
203329 MLB 90%NYY 428383 8715311 371175 61 .227.304.368.672 .141.293 279 .301 88 -6 +1 -1 +5 +12 1.1
203430 MLBNYY 426381 8515211 371185 50 .223.300.360.660 .136.291 289 .298 86 -7 +1 -2 +5 +12 0.9
203531 MLBNYY 417372 8114210 371175 30 .218.297.347.644 .129.290 289 .294 83 -8 +1 -3 +4 +12 0.6
203632 MLBNYY 402359 781429 351155 10 .217.296.343.638 .125.288 299 .289 79 -9 +0 -4 +4 +11 0.3
203733 MLBNYY 374335 711228 321104 00 .212.288.331.620 .119.287 299 .284 75 -10 +0 -4 +4 +11 -0.0
203834 MLBNYY 331295 621127 291004 00 .210.290.332.622 .122.285 309 .277 70 -11 +0 -5 +4 +9 -0.3
▸ Career Totals (MLE all levels + projections)
Career 46894187 93016427109 395131269 8516 .222.300.352.652 .130.294 288 .292 82 -96 +11 -20 +50 +133 8.0
/ 162G 650580 12923415 5518210 122 .222.301.353.655 .131.295 288 .292 82 -13 +2 -3 +7 +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
202218 ROKDSL NYY Bombers 121100 30612 15195 153 .300.413.440.853 .140.354 1612 .385 153 +7 +2 +3 1.3
202319 ROKDSL NYY Yankees 148122 431104 17376 136 .352.455.541.996 .189.464 2511 .433 189 +15 +0 +4 2.0
202420 ROKFCL Yankees 9780 20113 9176 101 .250.368.400.768 .150.274 189 .344 122 +2 +2 +3 0.7

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
Luis Ogando (OGILVIE) 22 .208/.275/.306 .099.289 11 29% 7% 62 -0.1
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
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
Eric Fryer
2008 · A
22 39→49 40→45 45→50 42 .195/.249/.284 .089.258 77 27% 6% 44 -2.1 .241/.298/.354 .113.308 910 24% 6% 82 +0.5 .247/.311/.365.118.317101123%7%87+0.6
Alonzo Harris
2011 · A
22 39→49 42→55 51→60 36 .196/.232/.300 .103.263 1013 30% 4% 40 -2.4 .219/.261/.311 .092.282 718 24% 5% 56 -1.3 .240/.296/.401.161.286193522%7%92+0.9
Wynton Bernard
2013 · A
22 44→54 39→45 52→60 42 .208/.269/.296 .088.301 610 31% 7% 56 -1.3 .242/.293/.332 .090.318 519 24% 6% 75 -0.0 .270/.315/.362.092.32952819%6%86+0.7
Jonathan Ornelas
2022 · A
22 41→51 41→45 48→50 38 .204/.251/.304 .100.277 99 29% 5% 50 -1.7 .233/.286/.332 .099.320 1011 29% 6% 72 -0.2 .231/.292/.316.084.32291229%7%67-0.4
Ezequiel Duran
2021 · A
22 38→48 39→55 52→50 33 .186/.233/.270 .084.294 78 38% 4% 33 -2.9 .226/.276/.390 .164.313 1914 33% 6% 84 +0.6 .235/.283/.404.168.313191430%5%88+0.7
Adam Abraham
2009 · A
22 39→47 44→50 49→40 43 .199/.261/.312 .112.263 115 28% 7% 57 -1.2 .215/.270/.328 .113.270 104 23% 6% 65 -0.7 .222/.283/.344.122.28112224%7%72-0.1
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
Francisco Acuna
2022 · A
22 39→47 39→40 48→50 44 .186/.276/.275 .089.270 610 31% 8% 56 -1.3 .202/.273/.299 .097.277 711 28% 6% 59 -1.1 .213/.285/.313.100.28291626%7%64-0.4
Ashton McGee
2021 · A
22 41 39→50 50→40 41 .194/.258/.283 .089.288 55 33% 7% 48 -1.9 .206/.290/.322 .116.364 113 42% 10% 72 -0.2 .191/.284/.307.117.34612244%11%63-0.4
Aaron McKeithan
2022 · A
22 41 39→40 49→40 40 .198/.263/.282 .084.277 67 29% 6% 50 -1.7 .218/.296/.304 .086.283 84 24% 7% 70 -0.3 .219/.302/.289.070.2807122%7%69-0.2
Adrian Del Castillo
2023 · A
23 36→45 43→55 52→40 41 .184/.246/.294 .110.257 107 32% 7% 46 -2.0 .210/.280/.351 .141.289 154 31% 8% 76 +0.0 .218/.292/.382.164.29319131%9%86+0.5
Javier Valdes
2021 · A
22 40 37→55 50→30 45 .190/.266/.263 .073.266 47 28% 8% 47 -1.9 .209/.291/.323 .114.277 125 27% 8% 74 -0.1 .207/.303/.355.148.25618326%9%85+0.3
Tucker Mitchell
2022 · A
21 43 39→50 51→45 39 .202/.262/.293 .090.301 67 33% 6% 52 -1.6 .193/.267/.305 .112.296 138 37% 7% 59 -1.1 .178/.253/.291.113.25315734%7%47-0.8
David Bote
2014 · A
21 40→48 39→55 47→45 47 .191/.269/.278 .087.263 67 28% 9% 52 -1.6 .204/.273/.294 .090.273 66 26% 7% 57 -1.2 .234/.308/.397.164.29819627%8%95+1.0
Drew Stubbs
2007 · A
22 42→52 41→50 53→60 40 .201/.273/.298 .098.311 915 36% 8% 59 -1.1 .221/.290/.328 .107.321 920 31% 8% 73 -0.1 .241/.313/.367.126.326133728%9%90+1.1
Glenn Santiago
2023 · A
22 41 41→40 46→45 40 .203/.258/.301 .098.286 88 31% 6% 52 -1.6 .200/.266/.289 .089.294 89 32% 7% 53 -1.5 .183/.256/.260.077.2697832%8%40-1.1
Ramon Mendoza
2023 · A
22 41→48 37→45 48→45 45 .193/.269/.270 .078.280 47 31% 8% 50 -1.8 .211/.284/.310 .099.294 85 29% 8% 66 -0.6 .219/.298/.332.113.29411327%9%76+0.0
Blaze Alexander
2022 · A
23 38→48 42→50 52→50 39 .185/.256/.288 .103.292 1114 38% 7% 49 -1.8 .218/.290/.354 .136.331 1511 36% 7% 81 +0.4 .220/.308/.345.126.328131034%8%84+0.4