Anthony DelgadoOF DSL Mets Orange
Age 19 L/R 6'0" / 190 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 2.2 · 2033
wRC+56
AVG/OBP/SLG.203 / .269 / .295
PA55
HR1
K%31
BB%7
MLB%0%
BAT: -2.7 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.3 runs (Positional adjustment)-0POSREP: +1.6 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
2.2peak
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+2.0$19M+$18M
2033Ext / FA-deal$1.0M+2.2$22M+$21M
2034Ext / FA-deal$1.0M+2.2$22M+$21M
2035Ext / FA-deal$4M+2.0$21M+$17M
2036Ext / FA-deal$6M+1.9$20M+$14M
2037Ext / FA-deal$8M+1.6$18M+$10M
Totals $21M $122M +$101M

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 8873 11110 13222 50 .151.295.192.487 .041.216 2515 .239 41 -6 +1 +0 -1 +2 -0.3
▸ 2026 Season
202619 MLB 5550 10201 4171 10 .200.273.300.573 .100.290 317 .259 56 -3 +0 +0 -0 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11% 119107 23412 10341 20 .215.288.327.615 .112.298 298 .287 78 -3 +0 +0 -1 +3 0.0
202821 MLB 28% 270241 55927 24743 61 .228.306.369.675 .141.299 279 .304 91 -3 +1 +0 -2 +8 0.4
202922 MLB 48% 384340 8013311 361025 92 .235.318.388.706 .153.300 279 .315 99 -0 +1 +0 -2 +11 0.9
203023 MLB 65% 461407 9716314 451196 112 .238.323.396.719 .157.300 2610 .321 104 +2 +1 +0 -3 +13 1.4
203124 MLB 82% 512450 10918416 511316 122 .242.327.407.734 .164.300 2610 .326 107 +4 +2 +0 -3 +15 1.8
203225 MLB 543475 11519417 561387 132 .242.331.406.737 .164.301 2510 .329 110 +6 +2 +0 -3 +15 2.0
203326 MLB 561491 11920418 581427 132 .242.331.409.740 .167.301 2510 .330 111 +7 +2 +0 -3 +16 2.2
203427 MLB 567495 12020418 601447 132 .242.333.408.741 .166.302 2511 .330 111 +7 +2 +0 -3 +16 2.2
203528 MLB 567495 12020418 601467 122 .242.333.408.741 .166.301 2611 .329 110 +7 +2 -1 -3 +16 2.0
203629 MLB 560488 11719418 601457 111 .240.332.406.737 .166.300 2611 .327 109 +5 +2 -1 -3 +16 1.9
203730 MLB 551480 11419417 591457 101 .237.330.400.730 .163.299 2611 .324 106 +4 +2 -2 -3 +16 1.6
203831 MLB 538470 10918316 571446 70 .232.323.385.708 .153.298 2711 .320 103 +2 +1 -3 -3 +15 1.3
203932 MLB 520454 10417315 551426 50 .229.320.379.699 .150.296 2711 .316 100 -0 +1 -4 -3 +15 0.9
204033 MLB 491430 9816314 521376 30 .228.320.377.696 .149.294 2811 .310 95 -3 +1 -4 -3 +14 0.5
204134 MLB 444389 8714312 471285 10 .224.315.368.683 .144.293 2911 .303 90 -5 +0 -5 -3 +13 0.0
204235 MLB 390342 7412210 411164 00 .216.307.351.658 .135.291 3011 .296 85 -7 +0 -6 -2 +11 -0.4
▸ Career Totals (MLE all levels + projections)
Career 76216677 156225752224 788202693 13417 .234.323.389.712 .155.300 2710 .318 102 +15 +20 -25 -46 +216 18.4
/ 162G 650569 13322419 671738 111 .234.322.387.709 .153.300 2710 .318 102 +1 +2 -2 -4 +18 1.6

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 8867 13210 19152 50 .194.386.254.640 .060.250 1722 .318 101 +0 +1 +2 0.4

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
Anthony Delgado (OGILVIE) 19 .203/.269/.295 .092.290 11 31% 7% 56 -0.1
Rowdy Tellez
2014 · A
19 41→50 39→60 51→45 43 .199/.255/.290 .091.270 65 28% 6% 48 -1.9 .229/.281/.344 .115.286 124 23% 6% 73 -0.1 .249/.317/.464.215.28629124%8%114+1.6
Jackson Merrill
2022 · A
19 45→55 36→55 52→50 39 .211/.260/.286 .076.314 39 32% 6% 48 -1.9 .251/.293/.383 .132.306 1312 22% 5% 88 +0.9 .266/.310/.441.174.301191018%6%107+1.9
Michael Harris II
2021 · A
20 44→54 39→55 52→55 41 .212/.263/.298 .086.291 610 28% 6% 53 -1.5 .258/.304/.406 .148.329 1421 25% 5% 99 +1.7 .278/.321/.456.177.328212121%5%116+2.7
Oneil Cruz
2018 · A
19 41→51 41→60 45→55 35 .200/.243/.293 .093.310 89 37% 5% 43 -2.2 .217/.257/.339 .122.316 1210 34% 5% 62 -0.9 .241/.304/.442.201.317252231%8%103+1.7
Max Kepler
2012 · A
19 44→54 36→60 49→50 40 .206/.261/.273 .067.305 26 31% 6% 46 -2.0 .215/.272/.335 .120.270 106 23% 6% 67 -0.5 .234/.319/.433.200.24824417%10%108+2.2
Josh Lowe
2017 · A
19 43→53 42→55 46→60 44 .201/.278/.303 .102.324 95 38% 10% 62 -0.9 .202/.260/.303 .101.318 914 37% 7% 53 -1.5 .255/.314/.435.180.350203131%8%108+1.9
Nomar Mazara
2014 · A
19 37→47 43→55 44→40 38 .186/.243/.298 .111.278 114 36% 6% 46 -2.0 .220/.278/.352 .132.287 153 28% 7% 75 -0.0 .249/.312/.421.172.29021322%8%99+1.5
Tirso Ornelas
2019 · A
19 43→53 41→50 50→45 46 .210/.278/.308 .098.289 85 29% 8% 63 -0.9 .192/.256/.270 .078.279 55 30% 8% 43 -2.2 .245/.303/.373.128.30214723%7%87+0.8
Oscar Taveras
2011 · A
19 44→54 42→55 49→45 42 .216/.260/.323 .108.269 89 23% 5% 58 -1.2 .270/.309/.419 .149.313 137 18% 5% 104 +2.0 .293/.330/.463.170.32616715%4%124+2.0
Carlos Jimenez
2022 · A
19 39→41 42→50 53→55 44 .191/.270/.293 .102.283 1011 34% 8% 56 -1.3 .199/.283/.318 .119.317 1115 37% 9% 69 -0.4 .216/.296/.349.133.314151933%9%78+0.1
Wilyer Abreu
2018 · A
19 46→48 36→60 47→50 41 .213/.276/.278 .065.313 310 31% 7% 54 -1.4 .197/.257/.262 .065.283 210 29% 7% 41 -2.3 .240/.318/.444.204.286271126%10%110+1.8
Mickey Moniak
2017 · A
19 45→54 37→60 51→50 39 .212/.260/.295 .083.290 411 27% 5% 51 -1.7 .207/.242/.300 .093.288 58 29% 4% 44 -2.1 .246/.285/.451.204.307261128%4%101+1.4
Dylan Carlson
2018 · A
19 41→51 40→55 43→50 42 .199/.266/.292 .092.292 86 33% 7% 54 -1.4 .216/.284/.350 .134.284 149 28% 8% 77 +0.1 .242/.327/.396.154.29614422%9%105+1.6
Roman Anthony
2023 · A
19 47→57 38→50 50 47 .224/.278/.302 .078.274 57 20% 7% 60 -1.0 .237/.316/.382 .145.331 1512 30% 10% 98 +1.6 .246/.334/.407.161.338171229%11%109+2.1
Nick Weglarz
2007 · A
19 42→47 39→50 47→45 39 .199/.254/.284 .085.305 66 35% 6% 46 -2.0 .219/.296/.368 .149.290 174 29% 9% 87 +0.8 .225/.314/.383.158.27517524%10%97+1.0
Nick Pratto
2018 · A
19 39→43 40→55 49→50 39 .190/.250/.289 .099.293 710 36% 7% 46 -2.0 .186/.234/.291 .105.304 1012 40% 6% 40 -2.4 .196/.288/.385.190.28124737%10%87+0.7
Jazz Chisholm Jr.
2017 · A
19 42→51 43→60 49→60 34 .206/.248/.311 .105.320 1111 38% 5% 50 -1.7 .204/.255/.341 .137.318 1611 39% 6% 62 -0.9 .248/.322/.446.198.304273627%9%113+2.3
Austin Meadows
2014 · A
19 45→55 43→65 49→55 43 .214/.282/.336 .122.308 106 32% 8% 72 -0.2 .242/.292/.362 .120.310 910 24% 6% 82 +0.5 .255/.336/.495.240.28930823%10%129+2.7
Gavin Lux
2017 · A
19 46→56 36→50 52→50 42 .215/.270/.287 .072.309 25 29% 7% 53 -1.5 .233/.291/.349 .116.301 1011 25% 7% 78 +0.2 .260/.330/.404.144.32714823%9%106+1.8
Akil Baddoo
2018 · A
19 45→51 41→55 52→55 48 .216/.292/.327 .111.287 710 26% 9% 74 -0.1 .201/.275/.318 .117.293 813 31% 9% 64 -0.8 .232/.314/.375.143.300152426%11%91+0.8