Niurby AsigenX DSL NYY Yankees
Age 21 L/L 6'3" / 180 lbs ROK HR +8%BB +8% Svc 0.0 · Ctrl thru 2037 peak 0.4 · 2031
wRC+†62
AVG/OBP/SLG.207 / .274 / .308
PA52
HR1
K%30
BB%7
MLB%0%
BAT: -2.2 runs (wOBA-derived runs vs avg)-2BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.9 runs (Positional adjustment)-1POSREP: +1.5 runs (Replacement-level credit)+1REPTotal WAR: -0.20-0.2WAR
trajectory · 10 yrs
1.2peak
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+0.4$2M+$1.0M
2033Ext / FA-deal$1.0M+0.3$1M+$0.5M
2034Ext / FA-deal$1.0M+0.1$0.5M-$0.5M
2035Ext / FA-deal$0.2M
2036Ext / FA-deal$0.4M
2037Ext / FA-deal$0.6M
Totals $4M $-3M -$7M
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
202318 ROKDSL NYY Yankees 10793 12300 9365 12 .129.243.161.404 .032.211 348 .195 7 -11 -1 +0 -2 +3 -1.1
202419 ROKDSL NYY Yankees 7666 13100 8211 81 .197.293.212.505 .015.283 2811 .251 50 -4 +1 +0 -1 +2 -0.2
▸ 2026 Season
202621 MLBNYY 5247 10201 4151 10 .213.288.319.608 .106.289 298 .266 62 -2 +0 +0 -1 +1 -0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%NYY 114103 22412 9321 20 .214.283.330.613 .117.291 288 .285 76 -3 +0 +0 -2 +3 -0.1
202823 MLB 28%NYY 249223 51926 21683 41 .229.304.368.671 .139.292 278 .296 85 -4 +0 +0 -4 +7 -0.1
202924 MLB 45%NYY 348311 701229 30934 61 .225.301.363.665 .138.293 279 .304 91 -4 +1 +0 -6 +10 0.1
203025 MLB 60%NYY 408365 8515312 361084 71 .233.309.389.698 .156.294 269 .308 94 -3 +1 +0 -7 +12 0.3
203126 MLB 77%NYY 446397 9216313 411185 81 .232.312.385.697 .154.294 269 .310 96 -2 +1 +0 -8 +13 0.4
203227 MLB 92%NYY 465414 9617313 431245 81 .232.312.382.693 .150.294 279 .310 96 -2 +1 +0 -8 +13 0.4
203328 MLBNYY 472420 9717313 441275 71 .231.311.379.690 .148.294 279 .309 95 -3 +1 -1 -8 +13 0.3
203429 MLBNYY 470418 9617313 441275 61 .230.310.378.688 .148.293 279 .307 93 -4 +1 -1 -8 +13 0.1
203530 MLBNYY 464413 9416313 431275 50 .228.308.375.683 .148.292 279 .304 91 -5 +1 -2 -8 +13 -0.1
203631 MLBNYY 453403 9015312 421265 30 .223.304.365.669 .141.290 289 .300 88 -6 +1 -3 -8 +13 -0.4
203732 MLBNYY 437389 8515211 411244 10 .219.300.352.652 .134.289 289 .296 84 -8 +0 -4 -8 +12 -0.7
203833 MLBNYY 408363 7813210 381194 00 .215.296.344.641 .129.287 299 .290 80 -9 +0 -4 -7 +12 -0.9
203934 MLBNYY 364325 681128 331093 00 .209.288.329.617 .120.286 309 .284 75 -10 +0 -5 -7 +10 -1.1
▸ Career Totals (MLE all levels + projections)
Career 53334750 105918332136 486147460 6710 .223.303.361.664 .138.292 289 .299 87 -80 +9 -20 -95 +151 -3.5
/ 162G 650579 12922417 591807 81 .223.302.363.665 .140.291 289 .299 87 -10 +1 -2 -12 +18 -0.4

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
202318 ROKDSL NYY Yankees 10786 16401 16245 12 .186.346.267.613 .081.246 2215 .299 87 -2 -1 +3 0.1
202419 ROKDSL NYY Yankees 7661 17200 13151 81 .279.413.311.725 .033.362 2017 .341 119 +2 +1 +2 0.5

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
Niurby Asigen (OGILVIE) 21 .207/.274/.308 .101.289 11 30% 7% 62 -0.1
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
Jack Suwinski
2019 · A
21 40→41 41→60 47→50 41 .198/.255/.292 .094.272 86 29% 6% 49 -1.8 .193/.259/.320 .127.287 146 35% 8% 59 -1.1 .210/.307/.421.211.281281034%11%102+1.6
Iverson Leonardo
2023 · A
21 37 44→50 49→50 40 .188/.259/.305 .117.281 129 36% 7% 55 -1.4 .194/.278/.291 .097.346 78 42% 9% 59 -1.1 .146/.273/.221.075.3593452%12%39-0.5
Addison Barger
2021 · A
21 39→46 39→55 49→45 44 .191/.262/.281 .090.258 65 27% 7% 50 -1.8 .216/.278/.376 .160.319 197 36% 7% 81 +0.4 .220/.291/.385.165.27218625%8%84+0.5
Tirso Ornelas
2021 · A
21 40→50 37→50 51→45 44 .192/.255/.266 .074.272 56 30% 8% 42 -2.3 .219/.280/.322 .103.296 86 27% 7% 67 -0.5 .245/.303/.373.128.30214723%7%87+0.8
Bo Naylor
2021 · A
21 41→43 44→55 50 43 .203/.259/.325 .122.273 117 29% 7% 59 -1.1 .199/.278/.352 .153.276 1812 33% 9% 75 -0.0 .216/.308/.399.183.269221228%11%97+1.2
Akil Baddoo
2021 · A
22 41→51 43→55 55 44 .198/.268/.314 .116.295 914 34% 8% 60 -1.0 .234/.308/.374 .140.313 1421 27% 10% 92 +1.2 .232/.314/.375.143.300152426%11%91+0.8
Travis Blankenhorn
2018 · A
21 42→43 45→55 54→50 40 .209/.270/.337 .128.288 128 31% 6% 67 -0.5 .208/.259/.341 .133.291 148 32% 5% 63 -0.8 .211/.283/.380.168.27621631%8%81+0.3
Enmanuel Valdez
2021 · A
22 39→46 42→60 46→45 40 .197/.250/.302 .104.268 109 30% 6% 50 -1.8 .217/.274/.390 .173.270 228 28% 7% 83 +0.6 .224/.290/.404.180.26824826%8%90+0.8
Josh Lowe
2019 · A
21 41→51 40→55 49→60 39 .197/.256/.291 .093.310 813 37% 7% 49 -1.8 .212/.275/.353 .141.307 1620 34% 8% 73 -0.1 .255/.314/.435.180.350203131%8%108+1.9
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
Jason Martin
2017 · A
21 43→50 45→60 48→50 45 .216/.275/.346 .130.280 1213 27% 7% 71 -0.3 .222/.270/.365 .143.297 1512 29% 6% 74 -0.1 .218/.285/.408.191.27126829%8%90+0.7
Travis Swaggerty
2019 · A
21 39→45 41→45 50→55 40 .195/.252/.295 .100.280 98 32% 6% 48 -1.9 .208/.273/.306 .098.298 915 31% 8% 60 -1.0 .207/.275/.308.100.30381932%8%58-0.7
Juan Silva
2012 · A
21 42→47 40→45 47→55 41 .199/.262/.291 .092.304 77 35% 8% 51 -1.7 .224/.299/.326 .102.311 919 28% 9% 76 +0.1 .231/.314/.336.105.31182926%10%84+0.4
Imanol Vargas
2019 · A
21 42→44 40→55 45 51 .201/.293/.296 .095.290 79 31% 11% 67 -0.5 .207/.286/.346 .139.312 157 36% 9% 76 +0.1 .200/.288/.364.164.31621240%10%79+0.2
Roman Pena
2008 · A
21 43→53 41→50 44→45 39 .205/.268/.305 .100.312 95 35% 6% 58 -1.2 .200/.254/.304 .104.288 107 32% 6% 52 -1.6 .233/.303/.392.159.31216729%9%92+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
Dwight Smith Jr.
2014 · A
21 47→53 40→50 51→50 46 .229/.283/.316 .088.282 813 22% 6% 66 -0.6 .240/.294/.346 .106.292 810 20% 7% 79 +0.3 .248/.308/.381.134.29513920%7%92+0.9
Angelo Songco
2010 · A
21 37→47 45→55 48→40 37 .192/.242/.317 .125.266 124 32% 5% 50 -1.7 .221/.272/.372 .151.273 164 25% 6% 77 +0.1 .219/.271/.380.160.26619325%6%77+0.1
Forrest Wall
2017 · A
21 45→55 40→45 52→70 43 .219/.270/.314 .095.283 817 25% 6% 60 -1.0 .217/.273/.319 .102.296 918 28% 6% 63 -0.8 .260/.332/.371.111.35495027%9%98+1.0