Aniel MendozaSS DSL Rangers Red
Age 21 R/R 6'2" / 185 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 1.8 · 2032
wRC+59
AVG/OBP/SLG.206 / .272 / .302
PA83
HR1
K%29
BB%7
MLB%0%
BAT: -3.8 runs (wOBA-derived runs vs avg)-4BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.9 runs (Positional adjustment)+1POSREP: +2.4 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
1.7peak
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+1.8$17M+$16M
2033Ext / FA-deal$1.0M+1.6$16M+$15M
2034Ext / FA-deal$1.0M+1.4$14M+$13M
2035Ext / FA-deal$3M+1.3$14M+$11M
2036Ext / FA-deal$3M+1.0$11M+$7M
2037Ext / FA-deal$3M+0.6$3M+$0.3M
Totals $12M $75M +$63M

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
202419 ROKDSL Rangers Red 188164 27412 17564 52 .165.259.238.497 .073.229 309 .230 34 -14 +0 +0 +2 +5 -0.7
▸ 2026 Season
202621 MLB 8376 16311 6241 10 .211.277.316.593 .105.288 297 .263 59 -4 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11% 122110 24412 10341 20 .218.289.327.617 .109.291 288 .283 74 -4 +0 +0 +1 +3 0.2
202823 MLB 28% 259232 52926 22703 41 .224.300.358.657 .134.292 278 .295 84 -5 +0 +0 +3 +7 0.6
202924 MLB 45% 357319 731329 31954 61 .229.305.367.672 .138.293 279 .302 90 -4 +1 +0 +4 +10 1.1
203025 MLB 60% 417373 8615311 371104 71 .231.307.375.682 .145.294 269 .307 93 -3 +1 +0 +4 +12 1.4
203126 MLB 77% 455406 9416313 411205 81 .232.310.382.692 .150.294 269 .310 95 -2 +1 +0 +5 +13 1.7
203227 MLB 92% 474423 9717313 431255 81 .229.308.376.684 .147.294 269 .310 95 -3 +1 +0 +5 +13 1.8
203328 MLB 481429 9817313 441285 71 .228.308.373.680 .145.294 279 .309 94 -3 +1 -1 +5 +14 1.6
203429 MLB 479427 9717313 441295 61 .227.307.372.679 .145.293 279 .307 93 -4 +1 -1 +5 +14 1.4
203530 MLB 474422 9617313 441295 50 .227.308.374.682 .147.292 279 .303 90 -5 +1 -2 +5 +13 1.3
203631 MLB 463412 9216312 431285 30 .223.304.364.668 .141.290 289 .300 87 -7 +1 -3 +5 +13 1.0
203732 MLB 447399 8815311 411264 10 .221.300.356.655 .135.289 289 .295 84 -8 +0 -4 +5 +13 0.6
203833 MLB 418373 8014210 381214 00 .214.294.343.637 .129.287 299 .290 80 -10 +0 -4 +4 +12 0.3
203934 MLB 373333 701228 341113 00 .210.289.330.620 .120.286 309 .283 75 -11 +0 -5 +4 +11 -0.1
204035 MLB 321286 601027 29993 00 .210.289.332.621 .122.283 319 .275 69 -11 +0 -6 +3 +9 -0.4
▸ Career Totals (MLE all levels + projections)
Career 58115184 115019937144 524160561 639 .222.301.358.659 .136.290 289 .297 85 -97 +9 -25 +62 +165 11.6
/ 162G 650580 12822416 591807 71 .221.300.355.655 .134.289 289 .297 85 -11 +1 -3 +7 +18 1.3

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
202419 ROKDSL Rangers Red 188154 41635 26374 52 .266.384.442.825 .175.313 2014 .364 137 +8 +0 +5 1.4

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
Aniel Mendoza (OGILVIE) 21 .206/.272/.302 .095.288 11 29% 7% 59 -0.1
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
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
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
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
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
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
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
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
Javier Valdes
2021 · A
22 40 37→55 50→30 45 .190/.266/.263 .073.266 47 28% 8% 47 -1.9 .209/.291/.323 .114.277 125 27% 8% 74 -0.1 .207/.303/.355.148.25618326%9%85+0.3
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
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
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
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
Adan Velazquez
2011 · A
21 42→52 41→45 52→50 40 .205/.264/.308 .103.282 710 29% 6% 56 -1.3 .220/.268/.317 .097.295 89 27% 5% 60 -1.0 .246/.284/.346.100.29610420%4%72-0.2
Jorge Alcantara
2013 · A
21 43 41→45 50 43 .204/.273/.304 .100.299 811 32% 8% 59 -1.1 .191/.262/.285 .094.292 614 34% 8% 50 -1.7 .147/.226/.244.097.22162534%8%24-0.9
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
Luke Hughes
2006 · A
21 43→52 41→55 47→45 40 .213/.258/.309 .097.272 85 25% 4% 54 -1.4 .224/.271/.331 .107.294 106 26% 5% 66 -0.6 .241/.294/.397.156.30417526%6%91+0.8
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
Elias Díaz
2012 · A
21 38→48 38→50 46→45 40 .185/.232/.266 .080.243 55 26% 5% 32 -3.0 .201/.249/.282 .081.251 55 21% 5% 43 -2.2 .253/.312/.392.139.28017016%7%96+0.8
Jhostynxon Garcia
2023 · A
20 37→42 41→50 46→50 45 .182/.264/.278 .096.277 88 35% 9% 50 -1.7 .199/.261/.332 .133.287 1410 34% 6% 63 -0.9 .207/.263/.362.155.281191033%6%68-0.4