Daniel BruzualC DSL Rangers Red
Age 21 R/R 6'0" / 170 lbs ROK K +3% Svc 0.0 · Ctrl thru 2037 peak 2.1 · 2032
wRC+†61
AVG/OBP/SLG.209 / .273 / .307
PA52
HR1
K%28
BB%7
MLB%0%
BAT: -2.3 runs (wOBA-derived runs vs avg)-2BATRUN: +0.1 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: +0.00+0.0WAR
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+2.0$20M+$19M
2034Ext / FA-deal$1.0M+1.8$18M+$17M
2035Ext / FA-deal$3M+1.6$17M+$14M
2036Ext / FA-deal$4M+1.2$13M+$9M
2037Ext / FA-deal$4M+0.9$5M+$1M
Totals $14M $93M +$79M

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 TEX Blue 122115 17510 1344 01 .148.183.209.392 .061.205 281 .168 -13 -16 -0 +0 +2 +3 -1.1
202318 ROKDSL Rangers Red 159149 33510 6522 42 .221.261.268.530 .047.333 334 .240 42 -10 +0 +0 +3 +5 -0.3
202419 ROKDSL Rangers Red 7672 13100 4150 30 .181.224.194.418 .014.228 205 .207 17 -7 +1 +0 +1 +2 -0.3
▸ 2026 Season
202621 MLBTEX 5248 10201 4150 10 .208.269.312.582 .104.287 298 .265 61 -2 +0 +0 +1 +1 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%TEX 114103 23412 9311 20 .223.292.340.632 .117.289 278 .284 76 -3 +0 +0 +2 +3 0.3
202823 MLB 28%TEX 249225 51926 20662 41 .227.296.364.660 .138.291 278 .296 85 -4 +0 +0 +4 +7 0.8
202924 MLB 45%TEX 348313 721329 29903 61 .230.301.371.672 .141.291 268 .304 90 -4 +1 +0 +6 +10 1.3
203025 MLB 60%TEX 408366 8515311 351044 71 .232.306.380.686 .148.292 259 .308 94 -3 +1 +0 +7 +12 1.7
203126 MLB 77%TEX 446399 9316313 391145 81 .233.309.386.695 .153.293 269 .311 96 -2 +1 +0 +8 +13 2.0
203227 MLB 92%TEX 465415 9717313 421195 81 .234.312.383.695 .149.293 269 .311 96 -2 +1 +0 +8 +13 2.1
203328 MLBTEX 472421 9817313 431225 71 .233.311.380.691 .147.293 269 .310 95 -3 +1 -1 +8 +13 2.0
203429 MLBTEX 470419 9717313 431235 61 .232.310.379.690 .148.292 269 .307 93 -3 +1 -1 +8 +13 1.8
203530 MLBTEX 464414 9516313 421235 50 .229.308.377.685 .147.290 279 .304 91 -5 +1 -2 +8 +13 1.6
203631 MLBTEX 439392 8815212 401184 30 .224.303.365.668 .140.289 279 .301 88 -6 +1 -3 +8 +12 1.2
203732 MLBTEX 411367 8114210 371134 10 .221.299.351.651 .131.287 279 .296 85 -7 +0 -4 +7 +12 0.9
203833 MLBTEX 371332 721229 331043 00 .217.293.346.640 .130.286 289 .290 80 -8 +0 -4 +7 +11 0.5
203934 MLBTEX 320285 611027 29933 00 .214.293.337.630 .123.284 299 .284 75 -9 +0 -5 +6 +9 0.1
204035 MLBTEX 264237 49816 23792 00 .207.282.325.607 .118.282 309 .276 70 -9 +0 -6 +5 +7 -0.3
204136 MLBTEX 208186 37614 18652 00 .199.277.306.583 .108.279 319 .268 63 -9 +0 -6 +4 +6 -0.6
▸ Career Totals (MLE all levels + projections)
Career 58585258 117220235142 497158059 6510 .223.297.356.653 .133.289 278 .294 83 -112 +9 -31 +105 +166 13.9
/ 162G 650583 13022416 551757 71 .223.298.357.654 .134.289 278 .294 83 -12 +1 -3 +12 +18 1.5

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 TEX Blue 122114 23720 2224 01 .202.242.298.540 .096.245 182 .240 42 -8 -0 +3 -0.5
202318 ROKDSL Rangers Red 159144 45920 11352 42 .312.369.403.772 .090.405 227 .344 121 +4 +0 +5 0.9
202419 ROKDSL Rangers Red 7669 19200 7100 30 .275.342.304.646 .029.322 139 .300 88 -1 +1 +2 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
Daniel Bruzual (OGILVIE) 21 .209/.273/.307 .098.287 11 28% 7% 61 -0.1
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
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
Luis Torrens
2017 · A
21 43→49 41→55 46→30 47 .210/.281/.305 .094.262 96 23% 8% 64 -0.8 .214/.267/.307 .093.269 73 22% 6% 57 -1.2 .228/.285/.376.148.28819027%7%82+0.3
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
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
Hunter Goodman
2022 · A
22 46→47 42→65 50→40 43 .220/.291/.330 .111.304 97 29% 7% 75 -0.0 .215/.268/.415 .200.284 264 34% 6% 88 +0.9 .221/.275/.455.234.25932229%6%99+1.4
Tyler Stephenson
2019 · A
22 43→53 42→50 46→30 44 .212/.280/.315 .103.285 103 28% 8% 66 -0.6 .232/.305/.347 .115.297 113 24% 8% 85 +0.7 .253/.327/.399.146.32316125%9%102+1.3
Blaze Alexander
2021 · A
22 45→48 42→50 51→50 43 .218/.284/.328 .110.300 911 29% 7% 71 -0.3 .204/.275/.332 .128.317 1412 38% 7% 69 -0.4 .220/.308/.345.126.328131034%8%84+0.4
Lou Marson
2007 · A
21 44→54 40 53→50 44 .211/.271/.304 .093.282 66 27% 7% 58 -1.2 .248/.316/.343 .095.329 74 24% 9% 88 +0.9 .265/.339/.354.089.3476423%9%97+1.1
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
Blake Ochoa
2007 · A
21 45 40→45 46→40 44 .215/.280/.308 .092.280 65 24% 6% 64 -0.8 .217/.270/.311 .094.277 74 23% 6% 60 -1.0 .236/.301/.377.140.27816221%7%89+0.3
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
Francisco Cervelli
2007 · A
21 43→53 39→45 50→45 43 .205/.271/.292 .086.286 67 29% 7% 56 -1.3 .237/.314/.327 .090.313 45 24% 7% 83 +0.6 .252/.365/.369.117.31210420%13%113+1.6
Max Stassi
2012 · A
21 40→43 44→55 43→40 41 .198/.260/.309 .111.287 125 34% 7% 56 -1.3 .218/.270/.362 .144.290 174 30% 5% 74 -0.1 .208/.295/.359.151.27120030%10%81+0.2
Sam McWilliams
2019 · A
21 46→53 39→55 54→50 43 .215/.280/.307 .092.311 614 31% 7% 63 -0.8 .213/.273/.319 .106.326 810 35% 7% 63 -0.8 .244/.305/.407.163.380181038%7%98+1.1
Ricardo Olivar
2023 · A
21 47→51 42→45 48→50 42 .220/.290/.336 .116.325 89 33% 7% 76 +0.0 .228/.308/.351 .123.315 119 29% 9% 88 +0.9 .221/.304/.343.122.294131027%9%80+0.3
Tyler Nevin
2018 · A
21 46→54 41→50 45 43 .225/.276/.329 .104.286 89 24% 6% 67 -0.5 .231/.283/.339 .108.294 106 24% 6% 72 -0.2 .240/.318/.386.146.29017422%8%98+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
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
Nick Hundley
2006 · A
22 46→45 41→55 50→40 42 .219/.279/.317 .098.303 88 29% 7% 66 -0.6 .216/.273/.358 .142.269 163 25% 7% 74 -0.1 .254/.322/.429.174.31917425%8%107+1.2