Juan Uribe2B DSL White Sox
Age 20 R/R 5'10" / 160 lbs ROK BB +6%HR -6% Svc 0.0 · Ctrl thru 2037 peak 1.7 · 2032
wRC+†54
AVG/OBP/SLG.199 / .267 / .289
PA50
HR1
K%32
BB%8
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: +0.2 runs (Positional adjustment)+0POSREP: +1.4 runs (Replacement-level credit)+1REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
1.7peak
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+1.7$16M+$15M
2033Ext / FA-deal$1.0M+1.7$17M+$16M
2034Ext / FA-deal$1.0M+1.6$16M+$15M
2035Ext / FA-deal$3M+1.4$15M+$12M
2036Ext / FA-deal$4M+1.2$13M+$9M
2037Ext / FA-deal$4M+0.9$5M+$0.5M
Totals $14M $82M +$68M

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
202317 ROKDSL White Sox 8671 6100 14391 01 .085.244.099.343 .014.188 4516 .186 1 -10 -0 +0 +0 +2 -0.7
202418 ROKDSL White Sox 6756 4100 11410 10 .071.224.089.313 .018.267 6116 .164 -16 -9 +0 +0 +0 +2 -0.7
▸ 2026 Season
202620 MLBCWS 5046 10201 4160 10 .217.280.326.606 .109.290 328 .256 54 -3 +0 +0 +0 +1 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%CWS 116104 22412 10351 20 .212.287.327.614 .115.293 309 .280 72 -4 +0 +0 +0 +3 0.0
202822 MLB 28%CWS 261233 52926 23743 51 .223.301.356.657 .133.294 289 .295 84 -5 +1 +0 +1 +7 0.4
202923 MLB 48%CWS 365325 7413210 331014 71 .228.307.372.679 .145.295 289 .304 91 -4 +1 +0 +1 +10 0.9
203024 MLB 62%CWS 436387 8815312 411195 92 .227.309.375.684 .147.295 279 .309 95 -3 +1 +0 +2 +12 1.3
203125 MLB 80%CWS 478424 9817314 461305 92 .231.314.384.698 .153.296 2710 .313 98 -1 +1 +0 +2 +14 1.5
203226 MLB 94%CWS 503444 10318315 491365 102 .232.315.387.703 .155.297 2710 .314 99 -1 +1 +0 +2 +14 1.7
203327 MLBCWS 514452 10418315 511406 102 .230.316.383.699 .153.297 2710 .315 99 -1 +1 +0 +2 +15 1.7
203428 MLBCWS 517455 10418315 511426 91 .229.314.380.695 .152.296 2710 .313 98 -1 +1 -1 +2 +15 1.6
203529 MLBCWS 512451 10318315 511425 81 .228.314.381.695 .153.295 2810 .311 96 -2 +1 -1 +2 +15 1.4
203630 MLBCWS 504444 10017314 501415 70 .225.311.372.682 .146.294 2810 .308 94 -3 +1 -2 +2 +14 1.2
203731 MLBCWS 492435 9716314 491405 40 .223.309.370.679 .147.292 2810 .304 91 -5 +1 -3 +2 +14 0.9
203832 MLBCWS 475420 9316313 471385 20 .221.307.367.674 .145.291 2910 .300 88 -7 +0 -4 +2 +13 0.5
203933 MLBCWS 446395 8514311 441324 00 .215.300.349.650 .134.289 3010 .294 83 -8 +0 -4 +2 +13 0.2
204034 MLBCWS 401355 7412210 391224 00 .208.294.338.632 .130.288 3010 .288 78 -10 +0 -5 +1 +11 -0.2
204135 MLBCWS 347307 631028 341093 00 .205.291.329.620 .124.285 3110 .280 73 -11 +0 -6 +1 +10 -0.5
▸ Career Totals (MLE all levels + projections)
Career 65705804 128021939175 647189767 8413 .221.306.362.668 .142.293 2910 .301 88 -86 +12 -25 +23 +186 11.3
/ 162G 650574 12722417 641887 81 .221.307.362.669 .141.296 2910 .301 88 -8 +1 -2 +2 +18 1.1

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
202317 ROKDSL White Sox 8661 8110 24311 01 .131.384.180.564 .049.267 3628 .300 88 -1 -0 +2 0.1
202418 ROKDSL White Sox 6749 7100 18270 10 .143.373.163.536 .020.318 4027 .288 78 -2 +0 +2 0.0

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
Juan Uribe (OGILVIE) 20 .199/.267/.289 .090.290 11 32% 8% 54 -0.1
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
David Bote
2013 · A
20 43→48 38→55 50→45 43 .200/.271/.286 .086.293 48 31% 8% 54 -1.4 .190/.266/.272 .082.263 56 28% 8% 50 -1.8 .234/.308/.397.164.29819627%8%95+1.0
Samad Taylor
2018 · A
20 45→53 37→50 51→65 41 .213/.268/.288 .076.300 410 29% 6% 53 -1.5 .183/.255/.284 .101.259 722 30% 8% 47 -1.9 .236/.312/.377.141.324164630%9%94+0.8
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
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
Emmanuel Rivera
2016 · A
20 40→50 35→55 48→45 45 .185/.261/.247 .062.282 312 33% 9% 40 -2.4 .222/.269/.320 .098.293 77 25% 5% 61 -1.0 .246/.303/.412.166.29319422%7%97+1.1
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
Lane Thomas
2016 · A
20 43→51 37→55 51→55 42 .200/.259/.277 .077.294 39 32% 7% 46 -2.0 .194/.260/.302 .108.313 1013 38% 8% 54 -1.4 .248/.312/.427.179.308211325%7%107+2.0
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
Tyler Stephenson
2017 · A
20 41→51 38→50 43→30 39 .197/.249/.277 .080.290 63 33% 6% 42 -2.3 .216/.283/.315 .099.290 93 27% 7% 67 -0.5 .253/.327/.399.146.32316125%9%102+1.3
Austin Dean
2014 · A
20 41→51 40→55 45 45 .197/.269/.289 .093.270 76 28% 8% 55 -1.4 .229/.274/.325 .096.288 76 22% 5% 65 -0.7 .257/.302/.413.156.30417421%5%96+1.1
Bryan De La Cruz
2017 · A
20 42→52 37→55 43→45 42 .197/.261/.267 .071.293 55 33% 7% 45 -2.1 .218/.272/.304 .086.308 57 29% 6% 58 -1.2 .256/.303/.416.160.31419424%6%99+1.4
Yairo Muñoz
2015 · A
20 41→51 38→50 48→55 42 .195/.251/.276 .081.262 47 26% 6% 43 -2.2 .218/.254/.321 .103.267 109 22% 4% 56 -1.3 .270/.315/.386.116.325111820%5%92+0.6
Peter Bourjos
2007 · A
20 45→55 41→55 52→60 36 .213/.257/.319 .106.318 711 34% 5% 56 -1.3 .233/.274/.346 .113.308 822 26% 5% 70 -0.3 .250/.299/.403.153.305122822%5%94+1.2
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
Chris Nelson
2006 · A
20 41→51 38→50 47→50 36 .199/.245/.279 .080.293 68 33% 5% 40 -2.4 .216/.262/.340 .124.278 1111 26% 5% 64 -0.8 .257/.301/.387.130.31113721%5%87+0.6
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
Rainel Rosario
2009 · A
20 36→46 40→50 45→50 39 .176/.248/.268 .092.289 79 39% 7% 40 -2.4 .205/.272/.319 .114.308 99 34% 7% 64 -0.8 .253/.308/.402.150.28519618%7%96+1.1
Maikel Franco
2012 · A
19 36→46 38→55 48→40 37 .180/.226/.261 .081.253 64 30% 5% 28 -3.2 .239/.273/.382 .143.277 163 20% 4% 80 +0.4 .263/.299/.434.171.29019217%4%100+1.6
Jose Paez
2014 · A
20 46 39→45 51→50 38 .218/.263/.312 .093.303 512 29% 5% 56 -1.3 .209/.259/.289 .080.322 410 34% 6% 50 -1.8 .195/.251/.252.057.32041138%6%32-0.6