Guillermo RodriguezSS ACL White Sox
Age 21 R/R 5'9" / 156 lbs ROK BB +6%HR -6% Svc 0.0 · Ctrl thru 2037 peak 1.6 · 2032
wRC+†55
AVG/OBP/SLG.201 / .268 / .294
PA52
HR1
K%31
BB%7
MLB%0%
BAT: -2.6 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.6 runs (Positional adjustment)+1POSREP: +1.5 runs (Replacement-level credit)+1REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
1.5peak
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+1.6$15M+$14M
2033Ext / FA-deal$1.0M+1.5$15M+$14M
2034Ext / FA-deal$1.0M+1.3$13M+$12M
2035Ext / FA-deal$2M+1.1$11M+$9M
2036Ext / FA-deal$3M+0.8$4M+$2M
2037Ext / FA-deal$2M+0.5$3M+$0.3M
Totals $10M $62M +$52M

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 White Sox 167159 26311 6462 74 .164.204.214.417 .050.223 284 .177 -6 -20 -0 +0 +2 +5 -1.4
202318 ROKACL White Sox 117101 11200 12583 32 .109.224.129.353 .020.250 5010 .180 -4 -14 -0 +0 +1 +3 -1.0
202419 ROKACL White Sox 7469 12400 5280 14 .174.230.232.462 .058.293 387 .210 19 -7 -1 +0 +1 +2 -0.5
▸ 2026 Season
202621 MLBCWS 5248 10201 4160 10 .208.269.312.582 .104.287 318 .258 55 -3 +0 +0 +1 +1 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%CWS 114103 22412 9331 20 .214.283.330.613 .117.290 298 .278 71 -4 +0 +0 +1 +3 0.1
202823 MLB 28%CWS 249223 50926 21703 41 .224.300.363.663 .139.291 288 .291 81 -5 +0 +0 +3 +7 0.5
202924 MLB 45%CWS 348311 701229 30964 61 .225.301.363.665 .138.292 289 .299 87 -5 +1 +0 +4 +10 0.9
203025 MLB 60%CWS 408365 8415311 361114 71 .230.306.378.684 .148.293 279 .304 91 -4 +1 +0 +4 +12 1.3
203126 MLB 77%CWS 446398 9216313 401225 82 .231.309.384.694 .153.294 279 .306 92 -4 +1 +0 +5 +13 1.5
203227 MLB 92%CWS 465415 9517313 421275 81 .229.307.378.686 .149.294 279 .306 93 -4 +1 +0 +5 +13 1.6
203328 MLBCWS 472421 9617313 431305 71 .228.307.375.682 .147.293 289 .305 92 -4 +1 -1 +5 +13 1.5
203429 MLBCWS 470419 9416313 431315 61 .224.304.370.674 .146.292 289 .303 90 -5 +1 -1 +5 +13 1.3
203530 MLBCWS 464413 9216312 431315 50 .223.304.363.667 .140.291 289 .300 88 -6 +1 -2 +5 +13 1.1
203631 MLBCWS 453404 8915312 421304 30 .220.300.361.661 .141.290 299 .296 85 -8 +1 -3 +5 +13 0.8
203732 MLBCWS 437390 8415211 401274 10 .215.295.349.644 .133.288 299 .291 81 -9 +0 -4 +5 +12 0.5
203833 MLBCWS 408364 7713210 371224 00 .212.291.341.632 .129.286 309 .286 77 -11 +0 -4 +4 +12 0.1
203934 MLBCWS 364325 671128 331123 00 .206.285.326.611 .120.285 319 .280 72 -11 +0 -5 +4 +10 -0.2
204035 MLBCWS 311277 57927 28983 00 .206.286.329.614 .123.282 329 .272 66 -12 +0 -6 +3 +9 -0.5
▸ Career Totals (MLE all levels + projections)
Career 58195205 112819635142 514168860 6918 .217.295.350.644 .133.290 299 .289 79 -137 +7 -25 +62 +165 7.3
/ 162G 650581 12622416 571897 82 .217.294.351.645 .134.290 299 .289 79 -15 +1 -3 +7 +18 0.8

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 White Sox 167156 37421 9312 74 .237.287.308.595 .071.290 195 .272 66 -6 -0 +5 -0.2
202318 ROKACL White Sox 11795 18301 18403 32 .189.336.253.589 .063.309 3415 .285 76 -3 -0 +3 -0.0
202419 ROKACL White Sox 7465 17600 9190 14 .262.351.354.705 .092.370 2612 .323 106 +0 -1 +2 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
Guillermo Rodriguez (OGILVIE) 21 .201/.268/.294 .093.287 11 31% 7% 55 -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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Niko Vasquez
2010 · A
21 42→41 37→50 46→45 43 .198/.265/.271 .073.289 56 32% 8% 48 -1.9 .198/.273/.306 .108.273 103 29% 9% 61 -1.0 .227/.282/.376.149.29019628%6%81+0.2
Ezequiel Duran
2021 · A
22 38→48 39→55 52→50 33 .186/.233/.270 .084.294 78 38% 4% 33 -2.9 .226/.276/.390 .164.313 1914 33% 6% 84 +0.6 .235/.283/.404.168.313191430%5%88+0.7
Michael Wing
2010 · A
21 46→53 40→55 50→40 40 .219/.268/.320 .101.305 65 29% 6% 61 -1.0 .232/.278/.355 .123.297 113 25% 5% 75 -0.0 .244/.285/.411.167.30419326%4%91+0.7
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
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