Alvaro RiosC DSL White Sox
Age 19 R/R 6'1" / 170 lbs ROK BB +6%HR -6% Svc 0.0 · Ctrl thru 2037 peak 3.0 · 2033
wRC+†54
AVG/OBP/SLG.201 / .266 / .290
PA57
HR1
K%31
BB%7
MLB%0%
BAT: -3.0 runs (wOBA-derived runs vs avg)-3BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.0 runs (Positional adjustment)+1POSREP: +1.6 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
3.0peak
2033

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+3.0$30M+$29M
2034Ext / FA-deal$1.0M+3.0$30M+$29M
2035Ext / FA-deal$6M+2.8$29M+$24M
2036Ext / FA-deal$9M+2.7$29M+$20M
2037Ext / FA-deal$12M+2.4$27M+$15M
Totals $29M $172M +$143M

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 White Sox 9282 14000 5333 00 .171.244.171.415 .000.275 365 .192 5 -10 +0 +0 +2 +3 -0.6
▸ 2026 Season
202619 MLBCWS 5752 11201 4181 10 .212.281.308.588 .096.290 327 .255 54 -3 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11%CWS 120108 23412 10351 21 .213.286.324.610 .111.298 298 .284 76 -3 +0 +0 +2 +3 0.2
202821 MLB 28%CWS 270242 55927 23753 61 .227.302.368.670 .140.299 289 .299 87 -4 +1 +0 +5 +8 1.0
202922 MLB 48%CWS 384341 7913310 351055 92 .232.312.375.688 .144.300 279 .308 94 -3 +1 +0 +7 +11 1.6
203023 MLB 65%CWS 461409 9616313 431236 112 .235.317.384.700 .149.300 279 .314 99 -1 +1 +0 +8 +13 2.2
203124 MLB 82%CWS 512452 10818415 491356 122 .239.321.396.718 .157.301 2610 .319 102 +1 +2 +0 +9 +15 2.7
203225 MLBCWS 520458 11018416 511366 122 .240.324.402.726 .162.301 2610 .322 104 +3 +2 +0 +9 +15 2.9
203326 MLBCWS 520457 11018416 521366 122 .241.326.403.729 .162.302 2610 .323 106 +3 +2 +0 +9 +15 3.0
203427 MLBCWS 520457 10818316 521376 122 .236.322.394.716 .158.302 2610 .324 106 +3 +2 +0 +9 +15 3.0
203528 MLBCWS 520456 10818316 531386 112 .237.324.395.719 .158.302 2710 .322 105 +3 +1 -1 +9 +15 2.8
203629 MLBCWS 520456 10818316 531396 101 .237.324.395.719 .158.301 2710 .320 103 +2 +2 -1 +9 +15 2.7
203730 MLBCWS 520456 10517315 531416 91 .230.318.379.698 .149.299 2710 .317 101 +1 +1 -2 +9 +15 2.4
203831 MLBCWS 504442 10217314 511396 60 .231.319.378.696 .147.298 2810 .313 98 -1 +1 -3 +9 +14 2.1
203932 MLBCWS 489430 9816314 501376 40 .228.317.377.694 .149.296 2810 .309 94 -3 +1 -4 +9 +14 1.7
204033 MLBCWS 447394 8814312 451295 20 .223.311.365.676 .142.295 2910 .303 90 -5 +0 -4 +8 +13 1.2
204134 MLBCWS 391345 7512210 391164 10 .217.304.351.655 .133.293 3010 .297 85 -7 +0 -5 +7 +11 0.7
204235 MLBCWS 332292 631028 331024 00 .216.304.346.650 .130.291 3110 .289 79 -8 +0 -6 +6 +9 0.2
204336 MLBCWS 271239 50826 27863 00 .209.297.335.632 .126.288 3210 .280 73 -8 +0 -6 +5 +8 -0.2
204437 MLBCWS 210186 37614 20692 00 .199.284.306.590 .108.284 3310 .271 65 -8 +0 -7 +4 +6 -0.6
▸ Career Totals (MLE all levels + projections)
Career 76606754 154825249211 748212991 12018 .229.314.375.689 .146.300 2810 .309 95 -48 +17 -38 +137 +217 29.0
/ 162G 650573 13121418 631818 102 .229.314.373.687 .145.299 2810 .309 95 -4 +1 -3 +12 +18 2.4

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
202417 ROKDSL White Sox 9279 19000 8223 00 .241.333.241.574 .000.322 249 .272 66 -4 +0 +3 -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
Alvaro Rios (OGILVIE) 19 .201/.266/.290 .089.290 11 31% 7% 54 -0.1
Wilin Rosario
2008 · A
19 39→49 37→60 45 35 .189/.235/.257 .068.297 66 37% 5% 31 -3.0 .219/.259/.344 .125.302 145 31% 5% 64 -0.8 .265/.302/.457.192.30126421%5%107+1.6
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
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
Luis Vázquez
2019 · A
19 40→46 36→50 49→45 39 .193/.237/.259 .066.276 38 30% 5% 32 -3.0 .202/.246/.272 .070.280 410 28% 5% 39 -2.5 .230/.295/.366.136.29817827%6%82+0.3
Yonathan Perlaza
2018 · A
19 40→50 37→60 48→50 37 .195/.235/.273 .078.279 412 31% 5% 34 -2.8 .213/.257/.285 .072.313 49 31% 6% 46 -2.0 .235/.307/.417.182.303191228%9%100+1.6
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
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
Alex Liddi
2007 · A
18 43→53 39→60 52→50 35 .205/.243/.299 .094.302 610 33% 4% 44 -2.1 .213/.261/.326 .113.308 98 32% 5% 59 -1.1 .241/.296/.424.182.33620533%6%99+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
Oneil Cruz
2018 · A
19 41→51 41→60 45→55 35 .200/.243/.293 .093.310 89 37% 5% 43 -2.2 .217/.257/.339 .122.316 1210 34% 5% 62 -0.9 .241/.304/.442.201.317252231%8%103+1.7
Austin Dean
2013 · A
19 40→50 39→55 45 45 .195/.265/.280 .085.270 55 28% 8% 50 -1.7 .220/.275/.314 .094.285 76 24% 6% 63 -0.9 .257/.302/.413.156.30417421%5%96+1.1
Jose Miranda
2017 · A
19 40→50 36→50 43→40 42 .191/.245/.255 .064.255 36 26% 6% 34 -2.8 .215/.260/.324 .109.245 123 17% 4% 59 -1.1 .262/.312/.407.145.29418217%5%101+1.5
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
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
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
Brandon Drury
2011 · A
18 36→46 38→60 45→40 33 .178/.219/.255 .076.265 65 34% 4% 24 -3.6 .214/.245/.320 .106.267 103 23% 3% 51 -1.7 .254/.305/.458.204.30125124%6%112+2.0
Moisés Sierra
2008 · A
19 37→47 41→50 49→50 37 .188/.241/.283 .095.258 910 30% 5% 41 -2.3 .219/.266/.312 .093.295 88 27% 4% 59 -1.1 .250/.316/.378.129.306141522%7%94+1.0
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
Adalberto Mondesi
2014 · A
19 42→52 38→60 51→65 36 .205/.241/.276 .071.288 613 30% 4% 37 -2.6 .198/.229/.299 .101.284 919 32% 4% 39 -2.5 .248/.279/.427.179.328194930%4%92+0.9
Óscar Mercado
2014 · A
19 38→48 37→55 52→60 40 .185/.243/.259 .074.266 412 30% 6% 35 -2.8 .192/.242/.259 .067.240 422 21% 5% 34 -2.8 .236/.299/.394.159.271162219%7%92+0.9