Yoxander BenitezSS DSL Giants Black
Age 19 R/R 6'2" / 165 lbs ROK BB -3% Svc 0.0 · Ctrl thru 2037 peak 3.2 · 2034
wRC+†60
AVG/OBP/SLG.208 / .273 / .301
PA88
HR1
K%29
BB%7
MLB%0%
BAT: -4.0 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: +2.5 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
3.2peak
2034

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+2.9$28M+$27M
2033Ext / FA-deal$1.0M+3.1$31M+$30M
2034Ext / FA-deal$1.0M+3.2$32M+$31M
2035Ext / FA-deal$6M+3.0$31M+$25M
2036Ext / FA-deal$9M+2.8$30M+$21M
2037Ext / FA-deal$13M+2.5$28M+$15M
Totals $31M $180M +$148M

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 Giants Orange 8073 11110 7290 42 .151.225.192.417 .041.250 369 .204 14 -8 +0 +0 +1 +2 -0.5
202518 ROKDSL Giants Black 10291 16210 7163 151 .176.257.220.477 .044.211 167 .216 24 -9 +3 +0 +1 +3 -0.2
▸ 2026 Season
202619 MLBSF 8881 17311 6251 10 .210.273.309.581 .099.288 287 .263 60 -4 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11%SF 178159 36614 15482 41 .226.301.352.653 .126.296 278 .291 81 -4 +0 +0 +2 +5 0.4
202821 MLB 28%SF 316281 651128 28834 72 .231.310.370.680 .139.298 269 .305 92 -3 +1 +0 +3 +9 1.0
202922 MLB 48%SF 417371 8715311 381065 102 .235.314.380.694 .146.298 259 .314 98 -1 +1 +0 +4 +12 1.7
203023 MLB 65%SF 484429 10318314 461216 122 .240.322.394.716 .154.299 2510 .320 103 +2 +2 +0 +5 +14 2.3
203124 MLB 82%SF 528465 11319416 511307 133 .243.327.404.731 .161.299 2510 .325 107 +4 +1 +0 +6 +15 2.7
203225 MLBSF 554487 11920417 551357 143 .244.330.407.736 .162.300 2410 .328 109 +6 +2 +0 +6 +16 2.9
203326 MLBSF 568498 12221418 581397 143 .245.332.412.744 .167.300 2410 .330 110 +7 +2 +0 +6 +16 3.1
203427 MLBSF 572501 12321418 591407 142 .246.333.411.745 .166.300 2410 .330 110 +7 +2 +0 +6 +16 3.2
203528 MLBSF 570499 12221418 591417 132 .244.333.411.744 .166.300 2510 .329 110 +6 +2 -1 +6 +16 3.0
203629 MLBSF 562492 11920417 581407 122 .242.330.402.733 .161.299 2510 .326 108 +5 +2 -1 +6 +16 2.8
203730 MLBSF 553483 11620317 581407 111 .240.330.400.730 .159.298 2510 .323 106 +3 +2 -2 +6 +16 2.5
203831 MLBSF 539472 11119316 561396 80 .235.324.390.714 .155.296 2610 .319 103 +2 +2 -3 +6 +15 2.2
203932 MLBSF 521456 10618315 541376 50 .232.322.384.705 .151.295 2610 .315 99 -1 +1 -4 +6 +15 1.8
204033 MLBSF 492432 9816313 511336 30 .227.317.368.685 .141.293 2710 .309 95 -3 +1 -4 +5 +14 1.3
204134 MLBSF 445391 8714311 461245 20 .223.312.358.670 .136.291 2810 .303 90 -5 +0 -5 +5 +13 0.8
204235 MLBSF 391344 741229 401134 10 .215.304.340.644 .125.289 2910 .295 84 -7 +0 -6 +4 +11 0.3
204336 MLBSF 331291 611027 33994 00 .210.299.330.629 .120.286 3010 .286 77 -9 +0 -6 +4 +9 -0.2
204437 MLBSF 267236 47715 26823 00 .199.287.301.588 .102.283 3110 .276 70 -9 +0 -7 +3 +8 -0.6
▸ Career Totals (MLE all levels + projections)
Career 85587532 175329456235 8512220104 16326 .233.319.380.699 .148.296 2610 .313 98 -20 +22 -38 +92 +242 30.4
/ 162G 650572 13322418 651698 122 .233.319.379.699 .147.296 2610 .313 98 -2 +2 -3 +7 +18 2.3

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
202417 ROKDSL Giants Orange 8069 16220 11200 42 .232.338.319.656 .087.327 2514 .304 91 -1 +0 +2 0.1
202518 ROKDSL Giants Black 10286 20310 12113 151 .233.347.291.637 .058.263 1112 .299 87 -1 +3 +3 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
Yoxander Benitez (OGILVIE) 19 .208/.273/.301 .094.288 11 29% 7% 60 -0.2
Tim Beckham
2009 · A
19 42→52 38→55 49→50 38 .202/.248/.282 .080.290 57 31% 5% 43 -2.2 .219/.267/.307 .088.310 510 29% 5% 57 -1.2 .248/.301/.421.173.31922428%6%100+1.3
Renato Núñez
2013 · A
19 44→51 43→60 48→30 38 .215/.262/.330 .115.285 95 27% 4% 61 -1.0 .213/.253/.351 .138.277 173 29% 4% 64 -0.8 .238/.308/.452.215.27831126%7%111+1.7
Lane Thomas
2015 · A
19 45→51 37→55 51→55 43 .210/.271/.289 .080.308 39 31% 8% 54 -1.4 .192/.258/.279 .087.311 612 37% 8% 47 -1.9 .248/.312/.427.179.308211325%7%107+2.0
Vaughn Grissom
2021 · A
20 44→54 39→50 51→55 44 .214/.271/.302 .088.272 76 23% 6% 58 -1.2 .265/.329/.388 .123.318 1115 19% 7% 105 +2.1 .283/.348/.417.134.334121718%7%116+2.4
Samad Taylor
2017 · A
19 45→53 38→50 50→65 42 .214/.267/.294 .079.292 59 27% 6% 53 -1.5 .194/.259/.286 .092.272 618 29% 7% 50 -1.8 .236/.312/.377.141.324164630%9%94+0.8
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
Alex Liddi
2008 · A
19 41→51 41→60 47→50 36 .200/.246/.304 .104.297 87 34% 5% 48 -1.9 .229/.277/.361 .132.323 128 31% 6% 76 +0.1 .241/.296/.424.182.33620533%6%99+1.7
Derek Hill
2015 · A
19 42→52 40→50 54→60 46 .202/.270/.293 .091.264 713 25% 8% 56 -1.3 .205/.257/.275 .070.291 324 28% 6% 44 -2.1 .250/.300/.402.152.328162328%6%93+0.7
Agustín Ramírez
2021 · A
19 40→45 41→55 46→50 40 .199/.248/.293 .095.266 85 28% 5% 46 -2.0 .208/.268/.334 .126.284 138 30% 7% 66 -0.6 .230/.293/.405.176.264221622%7%92+1.1
Thairo Estrada
2016 · A
20 44→54 39→50 48→55 41 .211/.264/.302 .090.275 58 24% 5% 55 -1.4 .255/.297/.344 .089.303 89 18% 5% 79 +0.3 .270/.326/.420.150.314172119%5%108+1.8
Davis Schneider
2018 · A
19 40→44 41→55 48→50 50 .198/.276/.300 .102.259 86 26% 9% 60 -1.0 .193/.268/.290 .097.299 87 35% 8% 54 -1.4 .213/.322/.409.196.27524930%12%106+1.6
Travis d'Arnaud
2008 · A
19 41→51 41→60 47→45 38 .203/.244/.295 .091.254 108 24% 4% 44 -2.1 .210/.253/.324 .114.254 116 22% 4% 56 -1.3 .260/.320/.458.198.29127120%7%116+1.5
Amed Rosario
2015 · A
19 39→49 40→50 43→55 36 .196/.231/.287 .092.270 75 30% 4% 37 -2.7 .236/.274/.327 .091.314 412 25% 4% 64 -0.8 .286/.323/.422.136.344121420%5%107+1.7
Eloy Jiménez
2016 · A
19 40→50 40→65 49→40 39 .197/.240/.291 .094.269 77 29% 5% 41 -2.3 .251/.286/.404 .153.321 164 26% 4% 91 +1.1 .273/.314/.492.219.31430023%5%125+2.3
Aaron Altherr
2010 · A
19 42→51 38→55 51→50 43 .201/.253/.279 .078.267 511 26% 6% 44 -2.1 .200/.241/.279 .079.282 616 30% 4% 38 -2.6 .244/.318/.420.176.303171424%8%104+1.5
Jamie Westbrook
2014 · A
19 45→52 39→55 50→45 43 .213/.267/.306 .093.280 46 25% 6% 56 -1.3 .230/.270/.337 .107.280 97 21% 4% 66 -0.6 .245/.316/.386.141.28815420%8%96+1.1
Jose Alvarez
2008 · A
19 41→51 38→60 49→50 38 .197/.247/.279 .082.270 58 28% 5% 42 -2.3 .198/.241/.288 .090.275 68 29% 3% 41 -2.3 .293/.324/.482.189.31826917%2%126+2.8
Joe Benson
2007 · A
19 42→50 42→60 46→50 41 .206/.256/.312 .106.277 810 28% 6% 54 -1.4 .214/.282/.309 .095.312 613 31% 7% 65 -0.7 .231/.309/.414.183.319191532%8%101+1.4
Andres Regnault
2018 · A
19 39 38→55 47→45 39 .185/.251/.256 .071.289 66 36% 7% 39 -2.5 .226/.287/.352 .126.291 137 26% 6% 79 +0.3 .248/.309/.417.169.29019621%6%103+0.7
Gilberto Celestino
2018 · A
19 42→52 39→45 53→50 43 .202/.260/.288 .085.282 612 29% 7% 50 -1.8 .216/.267/.306 .090.280 711 24% 6% 57 -1.2 .239/.310/.323.084.31381424%9%75+0.0