Diego FloresC DSL NYY Yankees
Age 19 R/R 5'11" / 160 lbs ROK HR +8%BB +8% Svc 0.0 · Ctrl thru 2037 peak 3.1 · 2034
wRC+†55
AVG/OBP/SLG.203 / .267 / .293
PA64
HR1
K%30
BB%7
MLB%0%
BAT: -3.3 runs (wOBA-derived runs vs avg)-3BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.1 runs (Positional adjustment)+1POSREP: +1.8 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
3.0peak
2032

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+3.0$29M+$28M
2033Ext / FA-deal$1.0M+3.0$30M+$29M
2034Ext / FA-deal$1.0M+3.1$31M+$30M
2035Ext / FA-deal$6M+2.9$30M+$24M
2036Ext / FA-deal$9M+2.8$30M+$21M
2037Ext / FA-deal$12M+2.5$28M+$15M
Totals $30M $178M +$147M

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 NYY Yankees 4339 4000 2132 21 .103.186.103.289 .000.154 305 .155 -23 -6 +0 +0 +1 +1 -0.4
202518 ROKDSL NYY Yankees 6560 9300 3211 32 .150.203.200.403 .050.225 325 .185 0 -7 -0 +0 +1 +2 -0.5
▸ 2026 Season
202619 MLBNYY 6458 12201 5201 10 .207.281.293.574 .086.290 318 .257 55 -3 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11%NYY 155139 30513 13442 31 .216.292.331.623 .115.298 288 .286 77 -4 +0 +0 +3 +4 0.3
202821 MLB 28%NYY 297265 601027 26824 61 .226.305.358.664 .132.299 289 .300 88 -4 +1 +0 +5 +8 1.1
202922 MLB 48%NYY 403359 8414311 361085 92 .234.312.382.694 .148.300 279 .309 95 -2 +1 +0 +7 +11 1.8
203023 MLB 65%NYY 474421 10017314 441246 112 .238.318.392.710 .154.300 269 .316 100 +0 +1 +0 +8 +13 2.4
203124 MLB 82%NYY 520459 11119416 501356 132 .242.324.405.730 .163.300 2610 .321 104 +2 +2 +0 +9 +15 2.8
203225 MLBNYY 520458 11119416 511346 132 .242.326.406.732 .164.301 2610 .324 106 +4 +2 +0 +9 +15 3.0
203326 MLBNYY 520457 11119416 521346 122 .243.328.407.735 .164.302 2610 .325 107 +4 +2 +0 +9 +15 3.0
203427 MLBNYY 520456 10918316 531356 122 .239.326.397.723 .158.302 2610 .326 107 +4 +2 +0 +9 +15 3.1
203528 MLBNYY 520456 10818316 531366 112 .237.324.395.719 .158.301 2610 .324 106 +4 +1 -1 +9 +15 2.9
203629 MLBNYY 520456 10818316 531376 101 .237.324.395.719 .158.300 2610 .322 105 +3 +2 -1 +9 +15 2.8
203730 MLBNYY 520456 10618315 531396 91 .232.320.384.704 .151.299 2710 .319 102 +1 +1 -2 +9 +15 2.5
203831 MLBNYY 504441 10317315 521376 70 .234.323.388.710 .154.298 2710 .315 100 -0 +1 -3 +9 +14 2.2
203932 MLBNYY 488429 9816314 501356 40 .228.318.378.695 .149.296 2810 .311 96 -2 +1 -4 +9 +14 1.8
204033 MLBNYY 446393 8814312 451265 20 .224.312.366.678 .142.295 2810 .305 92 -4 +0 -4 +8 +13 1.3
204134 MLBNYY 390344 7512210 391144 10 .218.305.352.657 .134.293 2910 .299 87 -6 +0 -5 +7 +11 0.8
204235 MLBNYY 331291 621028 331004 00 .213.302.344.645 .131.291 3010 .291 81 -7 +0 -6 +6 +9 0.3
204336 MLBNYY 270238 50826 27843 00 .210.299.336.635 .126.288 3110 .282 74 -8 +0 -6 +5 +8 -0.2
204437 MLBNYY 209185 37614 20672 00 .200.285.308.593 .108.284 3210 .272 67 -8 +0 -7 +4 +6 -0.5
▸ Career Totals (MLE all levels + projections)
Career 77796860 157626349216 760212593 12921 .230.315.377.692 .147.298 2710 .310 95 -40 +17 -38 +139 +220 30.4
/ 162G 650573 13222418 641788 112 .230.316.377.693 .147.300 2710 .310 95 -3 +1 -3 +12 +18 2.5

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 NYY Yankees 4337 6000 492 21 .162.279.162.441 .000.214 219 .225 31 -3 +0 +1 -0.2
202518 ROKDSL NYY Yankees 6557 14500 6141 32 .246.328.333.661 .088.318 229 .300 88 -1 -0 +2 0.1

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
Diego Flores (OGILVIE) 19 .203/.267/.293 .091.290 11 30% 7% 55 -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
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
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
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
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
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
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
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
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
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
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
Renato Núñez
2013 · A
19 44→51 43→60 48→30 38 .215/.262/.330 .115.285 95 27% 4% 61 -1.0 .213/.253/.351 .138.277 173 29% 4% 64 -0.8 .238/.308/.452.215.27831126%7%111+1.7
Travis d'Arnaud
2008 · A
19 41→51 41→60 47→45 38 .203/.244/.295 .091.254 108 24% 4% 44 -2.1 .210/.253/.324 .114.254 116 22% 4% 56 -1.3 .260/.320/.458.198.29127120%7%116+1.5
Thairo Estrada
2016 · A
20 44→54 39→50 48→55 41 .211/.264/.302 .090.275 58 24% 5% 55 -1.4 .255/.297/.344 .089.303 89 18% 5% 79 +0.3 .270/.326/.420.150.314172119%5%108+1.8
Vaughn Grissom
2021 · A
20 44→54 39→50 51→55 44 .214/.271/.302 .088.272 76 23% 6% 58 -1.2 .265/.329/.388 .123.318 1115 19% 7% 105 +2.1 .283/.348/.417.134.334121718%7%116+2.4
Luis Torrens
2016 · A
20 42→49 38→55 49→30 44 .201/.271/.276 .075.277 55 28% 7% 52 -1.6 .207/.270/.291 .084.263 64 22% 7% 55 -1.4 .228/.285/.376.148.28819027%7%82+0.3
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
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