Dangelo SarmientoSS FCL Mets
Age 21 R/R 6'1" / 160 lbs ROK H +5%HR +3% Svc 0.0 · Ctrl thru 2037 peak 1.6 · 2032
wRC+†54
AVG/OBP/SLG.200 / .266 / .291
PA104
HR1
K%31
BB%7
MLB%0%
BAT: -5.4 runs (wOBA-derived runs vs avg)-5BATRUN: +0.5 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.1 runs (Positional adjustment)+1POSREP: +2.9 runs (Replacement-level credit)+3REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
1.5peak
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+1.6$15M+$14M
2033Ext / FA-deal$1.0M+1.4$14M+$13M
2034Ext / FA-deal$1.0M+1.2$12M+$11M
2035Ext / FA-deal$2M+1.0$10M+$8M
2036Ext / FA-deal$3M+0.8$4M+$2M
2037Ext / FA-deal$2M+0.4$2M+$0.2M
Totals $10M $58M +$48M

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
202217 ROKDSL Mets 2 131117 26411 8323 94 .222.289.299.588 .077.287 246 .253 52 -7 +0 +0 +1 +4 -0.2
202318 ROKFCL Mets 4339 3000 4190 00 .077.163.077.240 .000.150 449 .133 -40 -7 +0 +0 +0 +1 -0.5
202520 ROKFCL Mets 124110 13121 12572 52 .118.218.191.409 .073.231 4610 .177 -6 -15 +0 +0 +1 +4 -1.0
▸ 2026 Season
202621 MLBNYM 10494 19311 8331 20 .202.272.287.559 .085.288 328 .256 54 -5 +0 +0 +1 +3 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%NYM 186167 36614 15552 31 .216.288.335.623 .120.291 308 .277 70 -6 +0 +0 +2 +5 0.1
202823 MLB 28%NYM 303272 591027 25873 51 .217.290.346.636 .129.292 298 .289 80 -7 +1 +0 +3 +9 0.6
202924 MLB 45%NYM 386346 7713310 331084 71 .223.298.364.662 .142.293 289 .297 86 -6 +1 +0 +4 +11 1.0
203025 MLB 60%NYM 434389 8815312 381214 71 .226.302.373.674 .147.294 289 .303 90 -5 +1 +0 +5 +12 1.3
203126 MLB 77%NYM 463413 9416313 421295 81 .228.307.375.682 .148.295 289 .305 92 -4 +1 +0 +5 +13 1.5
203227 MLB 92%NYM 476425 9617313 431335 81 .226.304.372.676 .146.295 289 .305 92 -4 +1 +0 +5 +13 1.6
203328 MLBNYM 480428 9717313 441355 71 .227.306.371.678 .145.294 289 .304 91 -5 +1 -1 +5 +14 1.4
203429 MLBNYM 476424 9516313 441355 61 .224.304.368.672 .144.293 289 .302 89 -6 +1 -1 +5 +13 1.2
203530 MLBNYM 469418 9316313 431355 50 .222.303.368.671 .146.292 299 .299 87 -7 +1 -2 +5 +13 1.0
203631 MLBNYM 457408 8915312 421334 30 .218.297.358.655 .140.290 299 .295 84 -8 +1 -3 +5 +13 0.8
203732 MLBNYM 440393 8514311 401304 10 .216.295.351.646 .135.289 309 .290 80 -10 +0 -4 +5 +12 0.4
203833 MLBNYM 411366 7713210 381254 00 .210.292.339.630 .128.287 309 .285 76 -11 +0 -4 +4 +12 0.1
203934 MLBNYM 367328 671128 331143 00 .204.283.323.606 .119.286 319 .278 71 -12 +0 -5 +4 +10 -0.3
▸ Career Totals (MLE all levels + projections)
Career 57505137 111418738142 512168159 7614 .217.295.351.646 .134.291 299 .291 81 -126 +10 -20 +62 +163 9.0
/ 162G 650581 12521416 581907 92 .215.294.348.642 .133.288 299 .291 81 -14 +1 -2 +7 +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
202217 ROKDSL Mets 2 131112 33611 13223 94 .295.383.393.776 .098.348 1710 .346 123 +3 +0 +4 0.7
202318 ROKFCL Mets 4336 5000 7120 00 .139.279.139.418 .000.208 2816 .219 26 -4 +0 +1 -0.2
202520 ROKFCL Mets 124103 17121 19402 52 .165.306.243.549 .078.258 3215 .267 62 -5 +0 +4 -0.2

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
Dangelo Sarmiento (OGILVIE) 21 .200/.266/.291 .092.288 12 31% 7% 54 -0.2
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
Keon Broxton
2011 · A
21 38→48 41→55 53→60 36 .184/.238/.293 .109.299 710 39% 6% 41 -2.3 .196/.253/.296 .100.314 915 38% 7% 49 -1.8 .225/.301/.390.165.341173836%9%92+1.0
Emmanuel Rivera
2017 · A
21 40→50 37→55 49→45 43 .190/.250/.266 .075.266 310 28% 7% 40 -2.4 .234/.273/.341 .107.295 96 23% 4% 68 -0.5 .246/.303/.412.166.29319422%7%97+1.1
Parker Meadows
2021 · A
21 40→47 41→55 46→55 42 .197/.253/.288 .091.267 99 29% 7% 47 -1.9 .203/.263/.335 .132.270 1412 29% 7% 64 -0.8 .225/.292/.400.175.278202126%8%91+1.1
Eddys Leonard
2021 · A
20 42→46 40→50 46→45 45 .200/.274/.295 .095.288 79 31% 8% 59 -1.1 .227/.293/.378 .151.302 175 29% 7% 89 +0.9 .224/.290/.376.152.29017428%6%83+0.5
Agustín Ramírez
2023 · A
21 43→45 45→55 50 43 .213/.273/.339 .126.289 1210 30% 7% 69 -0.4 .229/.292/.389 .160.276 1913 24% 8% 90 +1.0 .230/.293/.405.176.264221622%7%92+1.1
Eguy Rosario
2021 · A
21 43→49 42→55 48→55 39 .213/.259/.322 .109.292 912 30% 5% 58 -1.2 .227/.286/.366 .139.304 1420 28% 7% 82 +0.5 .223/.285/.369.146.292152128%7%80+0.2
Chris Nelson
2007 · A
21 41→51 42→50 49→50 37 .204/.244/.308 .104.272 99 28% 4% 48 -1.9 .223/.274/.359 .136.280 1312 24% 6% 75 -0.0 .257/.301/.387.130.31113721%5%87+0.6
James McCann
2012 · A
22 41→51 42→50 49→45 39 .203/.260/.306 .103.288 97 32% 6% 55 -1.4 .223/.261/.310 .087.291 66 24% 4% 55 -1.4 .254/.315/.415.161.33120428%7%104+1.1
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
Chun-Hsiu Chen
2010 · A
21 43→53 41→50 48→45 40 .209/.263/.306 .097.302 86 32% 7% 55 -1.4 .250/.309/.388 .138.334 124 27% 7% 96 +1.5 .256/.318/.393.137.34712428%8%99+1.3
Ryan McKenna
2018 · A
21 43→53 42→50 52→55 39 .210/.265/.317 .107.297 912 31% 6% 59 -1.1 .226/.289/.332 .106.311 912 28% 7% 73 -0.1 .218/.295/.357.140.319161334%9%80+0.2
Niko Goodrum
2013 · A
21 40→50 39→55 51→55 41 .191/.252/.280 .089.282 58 33% 7% 44 -2.1 .212/.279/.299 .087.310 516 30% 8% 61 -1.0 .231/.306/.406.174.310181630%9%97+1.0
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
Michael Wing
2010 · A
21 46→53 40→55 50→40 40 .219/.268/.320 .101.305 65 29% 6% 61 -1.0 .232/.278/.355 .123.297 113 25% 5% 75 -0.0 .244/.285/.411.167.30419326%4%91+0.7
Niko Vasquez
2010 · A
21 42→41 37→50 46→45 43 .198/.265/.271 .073.289 56 32% 8% 48 -1.9 .198/.273/.306 .108.273 103 29% 9% 61 -1.0 .227/.282/.376.149.29019628%6%81+0.2
Michael Chavis
2017 · A
21 36→46 45→60 46→45 34 .189/.233/.308 .119.271 136 35% 4% 44 -2.1 .224/.274/.401 .177.296 234 32% 5% 86 +0.8 .235/.292/.438.203.30429332%6%100+1.1
Jakson Reetz
2017 · A
21 43→34 39→60 47→45 44 .201/.284/.294 .093.288 67 30% 8% 63 -0.8 .196/.270/.295 .099.288 95 33% 7% 57 -1.2 .197/.277/.397.201.24526431%7%84+0.3
Jonathan Ornelas
2021 · A
21 41→51 39→45 50 41 .200/.257/.289 .089.276 611 29% 6% 49 -1.8 .224/.274/.329 .105.305 1110 29% 5% 66 -0.6 .228/.286/.328.100.313111229%6%68-0.4