Manuel BaezC DSL Mariners
Age 21 R/R 5'9" / 192 lbs ROK HR +3% Svc 0.0 · Ctrl thru 2037 peak 1.8 · 2032
wRC+†51
AVG/OBP/SLG.198 / .264 / .285
PA51
HR1
K%32
BB%7
MLB%0%
BAT: -2.8 runs (wOBA-derived runs vs avg)-3BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.9 runs (Positional adjustment)+1POSREP: +1.4 runs (Replacement-level credit)+1REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
1.8peak
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+1.8$17M+$16M
2033Ext / FA-deal$1.0M+1.7$17M+$16M
2034Ext / FA-deal$1.0M+1.5$15M+$14M
2035Ext / FA-deal$2M+1.3$14M+$11M
2036Ext / FA-deal$3M+1.0$11M+$8M
2037Ext / FA-deal$2M+0.6$3M+$0.8M
Totals $11M $77M +$66M

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 Mariners 2825 1000 1192 00 .040.143.040.183 .000.167 684 .104 -62 -5 +0 +0 +0 +1 -0.4
202520 ROKDSL Mariners 4234 3100 5193 00 .088.262.118.380 .029.200 4512 .206 16 -4 +0 +0 +1 +1 -0.2
▸ 2026 Season
202621 MLBSEA 5146 10201 4161 10 .217.294.326.620 .109.291 318 .253 51 -3 +0 +0 +1 +1 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%SEA 135123 25412 10411 20 .203.269.301.569 .098.293 307 .274 68 -5 +0 +0 +2 +4 0.2
202823 MLB 28%SEA 264237 52926 22773 41 .219.294.350.644 .131.294 298 .287 78 -7 +0 +0 +5 +7 0.6
202924 MLB 45%SEA 358321 711229 301024 61 .221.296.355.651 .134.295 288 .296 84 -6 +1 +0 +6 +10 1.1
203025 MLB 60%SEA 415372 8414311 361174 71 .226.301.368.669 .142.296 289 .301 89 -5 +1 +0 +7 +12 1.5
203126 MLB 77%SEA 450402 9015312 401275 71 .224.302.366.668 .142.297 289 .304 91 -5 +1 +0 +8 +13 1.7
203227 MLB 92%SEA 466416 9416313 421325 71 .226.305.373.677 .147.297 289 .304 91 -5 +1 +0 +8 +13 1.8
203328 MLBSEA 472421 9516313 431355 71 .226.305.371.675 .145.296 299 .303 90 -5 +1 -1 +8 +13 1.7
203429 MLBSEA 469418 9416313 431355 60 .225.305.371.676 .146.296 299 .301 88 -6 +1 -1 +8 +13 1.5
203530 MLBSEA 463413 9115312 421355 50 .220.300.358.658 .138.294 299 .297 86 -7 +1 -2 +8 +13 1.3
203631 MLBSEA 438390 8514311 401305 20 .218.299.354.653 .136.293 309 .294 83 -8 +0 -3 +8 +12 1.0
203732 MLBSEA 409365 7813210 371234 00 .214.293.342.636 .129.291 309 .289 79 -10 +0 -4 +7 +12 0.6
203833 MLBSEA 370330 691129 331144 00 .209.289.336.625 .127.290 319 .284 75 -10 +0 -4 +7 +10 0.3
203934 MLBSEA 319285 58927 281013 00 .204.282.323.604 .119.288 329 .277 70 -11 +0 -5 +6 +9 -0.1
204035 MLBSEA 263236 47725 23862 00 .199.276.309.585 .110.286 339 .270 65 -11 +0 -6 +5 +7 -0.4
▸ Career Totals (MLE all levels + projections)
Career 54124834 104717434134 479160961 546 .217.295.350.645 .133.293 309 .292 81 -114 +8 -25 +97 +153 12.2
/ 162G 650581 12621416 581937 61 .217.296.349.646 .133.293 309 .292 81 -14 +1 -3 +12 +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
202419 ROKDSL Mariners 2824 2000 2132 00 .083.214.083.298 .000.182 467 .167 -14 -4 +0 +1 -0.3
202520 ROKDSL Mariners 4231 5200 8133 00 .161.381.226.607 .065.278 3119 .311 96 -0 +0 +1 0.1

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
Manuel Baez (OGILVIE) 21 .198/.264/.285 .087.291 11 32% 7% 51 -0.1
Aristides Aquino
2014 · A
20 33→40 40→65 41→50 35 .169/.216/.258 .090.248 76 34% 5% 24 -3.6 .200/.238/.338 .138.266 1410 30% 4% 53 -1.5 .218/.283/.452.234.26735933%7%98+1.0
Randy Reyes
2014 · A
21 38 35→55 43→50 40 .184/.227/.240 .056.243 37 25% 5% 23 -3.6 .203/.240/.313 .110.288 1012 32% 4% 47 -1.9 .224/.250/.382.158.309161633%2%69-0.2
Daniel Montano
2021 · A
22 34→44 39→45 48→50 36 .173/.212/.259 .086.242 610 31% 4% 21 -3.7 .209/.270/.309 .100.318 88 34% 8% 59 -1.1 .202/.277/.309.107.3119635%9%60-0.7
Mike McDade
2009 · A
20 37→47 37→50 47→30 36 .183/.223/.256 .073.265 53 32% 5% 24 -3.5 .217/.257/.343 .126.305 142 33% 4% 63 -0.9 .240/.281/.378.138.31617129%4%80+0.3
Max White
2015 · A
21 36→43 38→45 52→60 31 .166/.221/.246 .080.322 614 48% 6% 23 -3.6 .197/.258/.306 .109.335 924 41% 7% 54 -1.4 .199/.265/.315.116.316103038%7%56-0.9
Micker Adolfo
2017 · A
20 37 40→55 44→45 27 .176/.217/.265 .089.323 84 46% 4% 25 -3.5 .198/.251/.323 .125.332 143 42% 5% 56 -1.3 .190/.251/.345.155.31719344%6%59-0.5
Erick Gonzalez
2011 · A
20 39 35→40 43→50 42 .184/.245/.241 .057.272 27 31% 7% 31 -3.0 .208/.293/.279 .071.271 310 22% 10% 62 -0.9 .214/.322/.287.073.26121416%13%74-0.0
Tyler Massey
2010 · A
21 39→46 36→45 44→50 34 .191/.220/.258 .067.271 48 31% 3% 23 -3.6 .185/.219/.262 .077.263 59 30% 4% 24 -3.5 .219/.259/.328.109.276121625%4%56-1.0
Jose Paniagua
2014 · A
20 34 37→50 42→55 38 .170/.223/.241 .070.253 46 33% 6% 21 -3.7 .193/.248/.293 .100.278 810 31% 6% 46 -2.0 .195/.250/.314.119.272101331%6%49-0.7
Carlos Franco
2012 · A
20 34→44 37→45 51→45 39 .171/.228/.241 .071.257 58 34% 6% 24 -3.5 .198/.256/.269 .071.282 59 29% 7% 43 -2.2 .213/.270/.322.108.30512333%7%59-0.9
Brian Navarreto
2016 · A
21 36 38→45 47→30 37 .179/.218/.254 .075.247 63 30% 4% 22 -3.7 .186/.225/.255 .069.249 52 27% 4% 25 -3.5 .204/.253/.334.130.24717125%5%56-0.5
Roberto Perez
2009 · A
20 33 38→45 44→30 39 .169/.231/.243 .074.249 73 34% 6% 27 -3.3 .197/.264/.302 .105.260 114 27% 7% 56 -1.3 .189/.266/.312.123.22815124%8%60-0.4
Matt Dean
2013 · A
20 41→50 38→45 48→40 31 .185/.232/.268 .083.334 56 44% 5% 32 -3.0 .219/.262/.328 .109.336 95 36% 4% 60 -1.0 .220/.264/.336.116.32811335%4%60-0.7
Jake Gatewood
2017 · A
21 35→39 41→50 42→45 31 .181/.214/.277 .096.277 95 38% 4% 27 -3.3 .189/.231/.314 .125.300 145 40% 5% 44 -2.1 .174/.220/.305.131.28116543%5%36-2.0
Rainer Nunez
2021 · A
20 37→47 38→45 39→30 41 .183/.231/.259 .076.230 64 23% 5% 30 -3.1 .221/.267/.349 .128.291 152 28% 5% 69 -0.4 .232/.273/.351.118.31215130%5%68-0.4
Randy Claxton
2007 · A
21 36 35→30 47→45 40 .174/.237/.232 .059.248 37 30% 6% 26 -3.4 .192/.278/.252 .060.261 25 25% 8% 50 -1.8 .184/.298/.226.042.2430221%10%53-0.6
Ranyelmy Alberto
2015 · A
21 33 39→45 42→45 36 .169/.218/.251 .082.260 76 37% 6% 22 -3.7 .185/.234/.280 .095.289 98 37% 6% 37 -2.7 .181/.229/.270.089.2779836%5%29-1.4
Gerrion Grim
2017 · A
23 34 41→55 45→40 31 .170/.217/.262 .092.293 97 44% 5% 24 -3.5 .195/.232/.344 .149.278 215 37% 4% 53 -1.5 .185/.216/.361.176.22928234%3%47-1.3
Xavier Hernandez
2006 · A
20 38 36→40 49→30 36 .177/.237/.239 .061.295 45 39% 6% 27 -3.3 .200/.259/.278 .078.293 74 32% 6% 46 -2.0 .201/.260/.275.074.2778029%6%48-0.7
David Medina
2009 · A
20 36→43 36→45 44→40 41 .170/.245/.234 .064.277 35 37% 8% 30 -3.1 .199/.259/.293 .094.310 84 36% 7% 51 -1.7 .203/.254/.313.110.3009234%6%50-0.9