Adriel CuelloSS DSL Rangers Blue
Age 20 R/R 6'1" / 175 lbs ROK K +3% Svc 0.0 · Ctrl thru 2037 peak 2.1 · 2032
wRC+†55
AVG/OBP/SLG.199 / .266 / .293
PA61
HR1
K%32
BB%7
MLB%0%
BAT: -3.1 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.7 runs (Positional adjustment)+1POSREP: +1.7 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
2.1peak
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+2.1$20M+$19M
2033Ext / FA-deal$1.0M+2.1$21M+$20M
2034Ext / FA-deal$1.0M+2.0$20M+$19M
2035Ext / FA-deal$4M+1.8$19M+$15M
2036Ext / FA-deal$5M+1.5$16M+$11M
2037Ext / FA-deal$6M+1.3$14M+$8M
Totals $18M $110M +$92M

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
202317 ROKDSL Rangers Blue 133115 11100 6709 62 .096.200.104.304 .009.234 535 .145 -31 -20 +0 +0 +1 +4 -1.4
202418 ROKDSL Rangers Blue 10899 14301 5463 55 .141.206.202.408 .061.250 435 .181 -3 -13 -1 +0 +1 +3 -1.0
▸ 2026 Season
202620 MLBTEX 6156 11201 4191 10 .196.262.286.548 .089.289 317 .257 55 -3 +0 +0 +1 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%TEX 118107 22412 9351 21 .206.274.318.591 .112.292 308 .280 73 -4 +0 +0 +1 +3 0.1
202822 MLB 28%TEX 263236 53927 22753 51 .225.299.369.667 .144.293 298 .295 84 -5 +1 +0 +3 +7 0.6
202923 MLB 48%TEX 367327 7313210 321025 82 .223.302.367.669 .144.294 289 .304 90 -4 +1 +0 +4 +10 1.1
203024 MLB 62%TEX 439390 9016313 401216 92 .231.312.387.699 .156.294 289 .309 95 -3 +1 +0 +5 +12 1.6
203125 MLB 80%TEX 481427 9817314 451316 102 .230.312.382.693 .152.295 279 .312 97 -2 +1 +0 +5 +14 1.9
203226 MLB 94%TEX 506446 10318315 481387 112 .231.315.386.701 .155.296 279 .314 98 -1 +1 +0 +5 +14 2.1
203327 MLBTEX 517455 10619316 501427 112 .233.318.393.712 .160.296 2710 .314 98 -1 +1 +0 +6 +15 2.1
203428 MLBTEX 520458 10619316 501437 102 .231.317.391.707 .159.295 2810 .313 98 -1 +1 -1 +6 +15 2.0
203529 MLBTEX 515454 10318315 501436 91 .227.312.379.691 .152.294 2810 .311 96 -2 +1 -1 +6 +15 1.8
203630 MLBTEX 507447 10218315 491436 71 .228.313.383.695 .154.293 2810 .308 94 -4 +1 -2 +5 +14 1.5
203731 MLBTEX 495438 9817314 481426 50 .224.309.372.681 .148.291 2910 .304 91 -5 +1 -3 +5 +14 1.3
203832 MLBTEX 478423 9316313 461396 30 .220.305.364.669 .144.290 2910 .299 87 -7 +1 -4 +5 +14 0.9
203933 MLBTEX 449398 8615212 431345 10 .216.300.354.655 .138.288 3010 .294 83 -9 +0 -4 +5 +13 0.5
204034 MLBTEX 404357 7513210 391245 00 .210.297.342.638 .132.286 3110 .287 78 -10 +0 -5 +4 +11 0.1
204135 MLBTEX 349309 631028 331114 00 .204.289.327.616 .123.284 329 .280 72 -11 +0 -6 +4 +10 -0.3
▸ Career Totals (MLE all levels + projections)
Career 67105942 130722838182 619195893 10323 .220.303.363.666 .143.293 299 .298 86 -103 +11 -25 +72 +190 14.8
/ 162G 650576 12722418 601909 102 .220.304.366.670 .146.294 299 .298 86 -10 +1 -2 +7 +18 1.4

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
202317 ROKDSL Rangers Blue 133111 19200 10469 62 .171.292.189.481 .018.284 358 .237 40 -9 +0 +4 -0.5
202418 ROKDSL Rangers Blue 10896 22511 8313 55 .229.308.333.642 .104.328 297 .291 81 -2 -1 +3 -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
Adriel Cuello (OGILVIE) 20 .199/.266/.293 .094.289 11 32% 7% 55 -0.1
Alex Liddi
2009 · A
20 42→52 40→60 49→50 38 .202/.249/.300 .098.290 79 32% 5% 48 -1.9 .240/.291/.399 .159.335 167 32% 6% 92 +1.2 .241/.296/.424.182.33620533%6%99+1.7
Agustín Ramírez
2022 · A
20 37→45 43→55 44→50 39 .188/.245/.301 .113.275 114 34% 6% 47 -1.9 .223/.286/.366 .143.284 1611 26% 8% 82 +0.5 .230/.293/.405.176.264221622%7%92+1.1
David Bote
2013 · A
20 43→48 38→55 50→45 43 .200/.271/.286 .086.293 48 31% 8% 54 -1.4 .190/.266/.272 .082.263 56 28% 8% 50 -1.8 .234/.308/.397.164.29819627%8%95+1.0
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
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
Samad Taylor
2018 · A
20 45→53 37→50 51→65 41 .213/.268/.288 .076.300 410 29% 6% 53 -1.5 .183/.255/.284 .101.259 722 30% 8% 47 -1.9 .236/.312/.377.141.324164630%9%94+0.8
Emmanuel Rivera
2016 · A
20 40→50 35→55 48→45 45 .185/.261/.247 .062.282 312 33% 9% 40 -2.4 .222/.269/.320 .098.293 77 25% 5% 61 -1.0 .246/.303/.412.166.29319422%7%97+1.1
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
Austin Dean
2014 · A
20 41→51 40→55 45 45 .197/.269/.289 .093.270 76 28% 8% 55 -1.4 .229/.274/.325 .096.288 76 22% 5% 65 -0.7 .257/.302/.413.156.30417421%5%96+1.1
Tyler Stephenson
2017 · A
20 41→51 38→50 43→30 39 .197/.249/.277 .080.290 63 33% 6% 42 -2.3 .216/.283/.315 .099.290 93 27% 7% 67 -0.5 .253/.327/.399.146.32316125%9%102+1.3
Lane Thomas
2016 · A
20 43→51 37→55 51→55 42 .200/.259/.277 .077.294 39 32% 7% 46 -2.0 .194/.260/.302 .108.313 1013 38% 8% 54 -1.4 .248/.312/.427.179.308211325%7%107+2.0
Peter Bourjos
2007 · A
20 45→55 41→55 52→60 36 .213/.257/.319 .106.318 711 34% 5% 56 -1.3 .233/.274/.346 .113.308 822 26% 5% 70 -0.3 .250/.299/.403.153.305122822%5%94+1.2
Dilson Herrera
2014 · A
20 43→53 45→50 49→50 40 .213/.264/.339 .126.281 1211 28% 6% 65 -0.7 .248/.297/.383 .135.313 1413 24% 6% 90 +1.0 .257/.307/.397.140.313151322%6%94+1.2
Rainel Rosario
2009 · A
20 36→46 40→50 45→50 39 .176/.248/.268 .092.289 79 39% 7% 40 -2.4 .205/.272/.319 .114.308 99 34% 7% 64 -0.8 .253/.308/.402.150.28519618%7%96+1.1
Bryan De La Cruz
2017 · A
20 42→52 37→55 43→45 42 .197/.261/.267 .071.293 55 33% 7% 45 -2.1 .218/.272/.304 .086.308 57 29% 6% 58 -1.2 .256/.303/.416.160.31419424%6%99+1.4
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
Yairo Muñoz
2015 · A
20 41→51 38→50 48→55 42 .195/.251/.276 .081.262 47 26% 6% 43 -2.2 .218/.254/.321 .103.267 109 22% 4% 56 -1.3 .270/.315/.386.116.325111820%5%92+0.6
Chris Nelson
2006 · A
20 41→51 38→50 47→50 36 .199/.245/.279 .080.293 68 33% 5% 40 -2.4 .216/.262/.340 .124.278 1111 26% 5% 64 -0.8 .257/.301/.387.130.31113721%5%87+0.6
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
Ceddanne Rafaela
2021 · A
20 41→50 42→55 52→55 41 .202/.253/.302 .099.256 1014 25% 5% 50 -1.7 .228/.267/.382 .154.289 1619 26% 4% 77 +0.1 .244/.283/.399.155.300172424%4%86+0.7