Starling FernandezSS DSL Mets Orange
Age 19 R/R 6'0" / 178 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 2.8 · 2033
wRC+50
AVG/OBP/SLG.199 / .263 / .284
PA38
HR0
K%32
BB%7
MLB%0%
BAT: -2.1 runs (wOBA-derived runs vs avg)-2BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.4 runs (Positional adjustment)+0POSREP: +1.1 runs (Replacement-level credit)+1REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
2.8peak
2033

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+2.7$26M+$25M
2033Ext / FA-deal$1.0M+2.8$28M+$27M
2034Ext / FA-deal$1.0M+2.8$28M+$27M
2035Ext / FA-deal$5M+2.7$28M+$23M
2036Ext / FA-deal$8M+2.5$27M+$18M
2037Ext / FA-deal$11M+2.2$24M+$13M
Totals $28M $161M +$134M

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
202417 ROKDSL Mets Orange 2422 4010 260 20 .182.250.273.523 .091.250 258 .201 12 -2 +0 +0 +0 +1 -0.1
▸ 2026 Season
202619 MLB 3835 6100 3120 10 .171.237.200.437 .029.291 328 .251 50 -2 +0 +0 +0 +1 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11% 117106 23412 9351 20 .217.284.330.615 .113.299 308 .281 73 -4 +0 +0 +1 +3 0.1
202821 MLB 28% 268240 54926 23763 61 .225.301.354.655 .129.301 289 .298 86 -4 +1 +0 +3 +8 0.7
202922 MLB 48% 382340 7913310 351054 92 .232.311.376.688 .144.301 279 .308 94 -3 +1 +0 +4 +11 1.4
203023 MLB 65% 460409 9516313 431245 112 .232.313.381.694 .149.301 279 .315 99 -0 +1 +0 +5 +13 1.9
203124 MLB 82% 511451 10818415 491366 122 .239.322.397.719 .157.302 2710 .319 103 +2 +2 +0 +5 +14 2.4
203225 MLB 542477 11519417 541436 132 .241.326.405.730 .164.302 2610 .323 105 +3 +2 +0 +6 +15 2.7
203326 MLB 559491 11719417 561487 132 .238.325.397.722 .159.303 2610 .324 106 +4 +2 +0 +6 +16 2.8
203427 MLB 565496 11919418 571507 132 .240.327.403.730 .163.303 2710 .324 106 +4 +2 +0 +6 +16 2.8
203528 MLB 565495 11719417 581517 122 .236.325.394.719 .158.303 2710 .323 105 +4 +2 -1 +6 +16 2.7
203629 MLB 558488 11619417 581517 111 .238.327.398.725 .160.302 2710 .321 104 +2 +2 -1 +6 +16 2.5
203730 MLB 549481 11218416 571506 91 .233.322.387.708 .154.300 2710 .318 101 +1 +1 -2 +6 +16 2.2
203831 MLB 536470 10817316 551496 70 .230.318.381.699 .151.299 2810 .314 99 -1 +1 -3 +6 +15 1.9
203932 MLB 518454 10317314 531466 40 .227.316.370.686 .143.297 2810 .309 95 -3 +1 -4 +6 +15 1.5
204033 MLB 489431 9515313 501425 20 .220.309.360.668 .139.296 2910 .304 91 -5 +0 -4 +5 +14 1.0
204134 MLB 442389 8413311 451325 10 .216.305.350.655 .134.294 3010 .297 86 -7 +0 -5 +5 +13 0.6
204235 MLB 388342 721129 391204 00 .211.299.333.632 .123.292 3110 .290 80 -9 +0 -6 +4 +11 0.1
204336 MLB 328289 59927 331053 00 .204.292.322.614 .118.289 3210 .281 73 -10 +0 -6 +4 +9 -0.3
▸ Career Totals (MLE all levels + projections)
Career 78396906 158625654218 779218188 12817 .230.316.377.693 .147.301 2810 .312 97 -30 +19 -31 +84 +222 26.8
/ 162G 650573 13121418 651817 111 .229.315.373.688 .145.300 2810 .312 97 -3 +2 -3 +7 +18 2.2

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
202417 ROKDSL Mets Orange 2421 4010 340 20 .190.292.286.577 .095.235 1712 .268 63 -1 +0 +1 0.0

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
Starling Fernandez (OGILVIE) 19 .199/.263/.284 .085.291 01 32% 7% 50 -0.1
Tim Beckham
2009 · A
19 42→52 38→55 49→50 38 .202/.248/.282 .080.290 57 31% 5% 43 -2.2 .219/.267/.307 .088.310 510 29% 5% 57 -1.2 .248/.301/.421.173.31922428%6%100+1.3
Lane Thomas
2015 · A
19 45→51 37→55 51→55 43 .210/.271/.289 .080.308 39 31% 8% 54 -1.4 .192/.258/.279 .087.311 612 37% 8% 47 -1.9 .248/.312/.427.179.308211325%7%107+2.0
Andres Regnault
2018 · A
19 39 38→55 47→45 39 .185/.251/.256 .071.289 66 36% 7% 39 -2.5 .226/.287/.352 .126.291 137 26% 6% 79 +0.3 .248/.309/.417.169.29019621%6%103+0.7
Maikel Franco
2012 · A
19 36→46 38→55 48→40 37 .180/.226/.261 .081.253 64 30% 5% 28 -3.2 .239/.273/.382 .143.277 163 20% 4% 80 +0.4 .263/.299/.434.171.29019217%4%100+1.6
Amed Rosario
2015 · A
19 39→49 40→50 43→55 36 .196/.231/.287 .092.270 75 30% 4% 37 -2.7 .236/.274/.327 .091.314 412 25% 4% 64 -0.8 .286/.323/.422.136.344121420%5%107+1.7
Wilin Rosario
2008 · A
19 39→49 37→60 45 35 .189/.235/.257 .068.297 66 37% 5% 31 -3.0 .219/.259/.344 .125.302 145 31% 5% 64 -0.8 .265/.302/.457.192.30126421%5%107+1.6
Alex Liddi
2008 · A
19 41→51 41→60 47→50 36 .200/.246/.304 .104.297 87 34% 5% 48 -1.9 .229/.277/.361 .132.323 128 31% 6% 76 +0.1 .241/.296/.424.182.33620533%6%99+1.7
Brendan Rodgers
2016 · A
19 43→53 40→50 46→45 39 .205/.255/.298 .093.301 77 33% 6% 50 -1.8 .224/.267/.352 .128.288 145 27% 4% 69 -0.4 .253/.308/.383.131.29813019%6%93+0.8
Samad Taylor
2017 · A
19 45→53 38→50 50→65 42 .214/.267/.294 .079.292 59 27% 6% 53 -1.5 .194/.259/.286 .092.272 618 29% 7% 50 -1.8 .236/.312/.377.141.324164630%9%94+0.8
Agustín Ramírez
2021 · A
19 40→45 41→55 46→50 40 .199/.248/.293 .095.266 85 28% 5% 46 -2.0 .208/.268/.334 .126.284 138 30% 7% 66 -0.6 .230/.293/.405.176.264221622%7%92+1.1
Christian Vázquez
2010 · A
19 43→53 36→50 48→45 40 .200/.257/.272 .072.296 35 32% 6% 43 -2.2 .209/.259/.309 .100.278 103 27% 6% 55 -1.4 .263/.314/.411.148.30118819%7%101+1.2
Aaron Altherr
2010 · A
19 42→51 38→55 51→50 43 .201/.253/.279 .078.267 511 26% 6% 44 -2.1 .200/.241/.279 .079.282 616 30% 4% 38 -2.6 .244/.318/.420.176.303171424%8%104+1.5
Michael Chavis
2015 · A
19 44→47 38→60 48→45 39 .203/.258/.292 .090.318 48 36% 6% 50 -1.8 .193/.237/.327 .134.278 156 35% 4% 50 -1.7 .235/.292/.438.203.30429332%6%100+1.1
Ezequiel Tovar
2021 · A
19 44→50 37→55 50 44 .206/.273/.280 .074.302 314 31% 8% 53 -1.5 .239/.275/.375 .136.286 1415 22% 4% 79 +0.3 .251/.287/.420.170.321191128%4%93+1.2
Derek Norris
2009 · A
20 40→50 42→55 49→50 43 .194/.269/.300 .106.295 96 35% 9% 58 -1.2 .209/.301/.372 .163.281 206 31% 11% 91 +1.1 .254/.332/.403.149.31115522%10%106+1.6
Jamie Westbrook
2014 · A
19 45→52 39→55 50→45 43 .213/.267/.306 .093.280 46 25% 6% 56 -1.3 .230/.270/.337 .107.280 97 21% 4% 66 -0.6 .245/.316/.386.141.28815420%8%96+1.1
Austin Dean
2013 · A
19 40→50 39→55 45 45 .195/.265/.280 .085.270 55 28% 8% 50 -1.7 .220/.275/.314 .094.285 76 24% 6% 63 -0.9 .257/.302/.413.156.30417421%5%96+1.1
Pedro Severino
2012 · A
19 38→48 39→50 49→45 40 .187/.241/.272 .084.263 65 30% 6% 37 -2.6 .189/.233/.264 .075.239 53 22% 4% 31 -3.0 .246/.315/.384.137.30417324%8%95+0.7
Davis Schneider
2018 · A
19 40→44 41→55 48→50 50 .198/.276/.300 .102.259 86 26% 9% 60 -1.0 .193/.268/.290 .097.299 87 35% 8% 54 -1.4 .213/.322/.409.196.27524930%12%106+1.6
Luis Vázquez
2019 · A
19 40→46 36→50 49→45 39 .193/.237/.259 .066.276 38 30% 5% 32 -3.0 .202/.246/.272 .070.280 410 28% 5% 39 -2.5 .230/.295/.366.136.29817827%6%82+0.3