Renny SilletC DSL White Sox
Age 19 R/R 6'2" / 176 lbs ROK BB +6%HR -6% Svc 0.0 · Ctrl thru 2037 peak 2.9 · 2033
wRC+†52
AVG/OBP/SLG.200 / .264 / .287
PA50
HR1
K%31
BB%7
MLB%0%
BAT: -2.7 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
2.9peak
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+2.8$27M+$26M
2033Ext / FA-deal$1.0M+2.9$29M+$28M
2034Ext / FA-deal$1.0M+2.9$29M+$28M
2035Ext / FA-deal$5M+2.8$29M+$24M
2036Ext / FA-deal$9M+2.6$28M+$19M
2037Ext / FA-deal$11M+2.4$27M+$15M
Totals $28M $168M +$140M

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 7064 8100 3292 20 .125.188.141.329 .016.229 414 .150 -27 -10 +0 +0 +1 +2 -0.7
▸ 2026 Season
202619 MLBCWS 5046 10201 4160 10 .217.280.326.606 .109.290 328 .253 52 -3 +0 +0 +1 +1 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11%CWS 118106 23412 10351 20 .217.291.330.621 .113.298 308 .283 75 -3 +0 +0 +2 +3 0.3
202821 MLB 28%CWS 269241 54926 23763 61 .224.300.353.652 .129.300 289 .297 85 -4 +1 +0 +5 +8 0.9
202922 MLB 48%CWS 383341 7913310 341065 92 .232.311.375.686 .144.300 289 .306 92 -3 +1 +0 +7 +11 1.6
203023 MLB 65%CWS 461409 9516313 431256 112 .232.314.381.696 .149.301 279 .313 98 -1 +1 +0 +8 +13 2.2
203124 MLB 82%CWS 512452 10718415 491376 122 .237.320.394.713 .157.301 2710 .318 101 +1 +2 +0 +9 +15 2.7
203225 MLBCWS 520458 10918416 511386 122 .238.322.400.722 .162.302 2710 .321 104 +2 +2 +0 +9 +15 2.8
203326 MLBCWS 520457 10918416 521386 122 .239.324.400.725 .162.302 2710 .323 105 +3 +2 +0 +9 +15 2.9
203427 MLBCWS 520457 10918416 521396 122 .239.324.400.725 .162.302 2710 .323 105 +3 +2 +0 +9 +15 2.9
203528 MLBCWS 520456 10818316 531406 112 .237.324.395.719 .158.302 2710 .322 104 +3 +1 -1 +9 +15 2.8
203629 MLBCWS 520456 10718316 531416 101 .235.322.393.715 .158.301 2710 .320 103 +2 +2 -1 +9 +15 2.6
203730 MLBCWS 520456 10517315 531436 91 .230.318.379.698 .149.300 2810 .316 100 +0 +1 -2 +9 +15 2.4
203831 MLBCWS 504442 10117314 511406 60 .229.317.376.692 .147.298 2810 .313 97 -1 +1 -3 +9 +14 2.1
203932 MLBCWS 488429 9816314 501396 40 .228.318.378.695 .149.297 2810 .308 94 -3 +1 -4 +9 +14 1.7
204033 MLBCWS 446393 8714312 451305 20 .221.309.364.673 .142.295 2910 .302 90 -5 +0 -4 +8 +13 1.2
204134 MLBCWS 390344 7412210 391174 10 .215.302.349.651 .134.294 3010 .296 85 -7 +0 -5 +7 +11 0.7
204235 MLBCWS 331291 621028 331024 00 .213.302.344.645 .131.291 3110 .288 79 -8 +0 -6 +6 +9 0.2
204336 MLBCWS 270238 49726 27863 00 .206.295.328.623 .122.288 3210 .279 72 -9 +0 -6 +5 +8 -0.2
204437 MLBCWS 209185 36514 20692 00 .195.280.297.577 .103.285 3310 .270 65 -8 +0 -7 +4 +6 -0.6
▸ Career Totals (MLE all levels + projections)
Career 76216721 153025150210 745214689 12217 .228.313.374.687 .146.300 2810 .308 94 -53 +18 -38 +136 +216 28.3
/ 162G 650573 13021418 641838 101 .227.313.372.685 .145.299 2810 .308 94 -5 +2 -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 7062 12200 5192 20 .194.275.226.501 .032.279 277 .237 39 -5 +0 +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
Renny Sillet (OGILVIE) 19 .200/.264/.287 .088.290 11 31% 7% 52 -0.1
Robert Perez Jr.
2018 · A
18 37→47 38→55 47→45 35 .183/.230/.263 .079.277 67 35% 5% 30 -3.1 .193/.253/.298 .105.304 105 38% 6% 50 -1.7 .219/.296/.384.166.30622234%7%89+0.6
Oscar Gonzalez
2016 · A
18 35→45 39→60 41→40 36 .174/.220/.259 .084.254 64 33% 5% 25 -3.5 .200/.235/.306 .106.312 105 38% 4% 43 -2.2 .259/.288/.437.177.31222124%3%97+1.4
Gregory Polanco
2011 · A
19 38→48 36→60 55 40 .185/.235/.252 .067.258 415 29% 6% 30 -3.1 .218/.269/.329 .111.269 1021 22% 6% 64 -0.8 .250/.322/.455.204.278241419%9%113+2.3
Elehuris Montero
2017 · A
18 39→49 36→60 45→30 42 .189/.248/.255 .066.267 43 29% 6% 36 -2.7 .212/.266/.323 .111.282 103 27% 6% 62 -0.9 .230/.290/.417.187.29225130%6%96+1.2
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
Felix G. Santana
2014 · A
19 37 36→40 41→50 37 .178/.237/.244 .066.266 46 33% 5% 29 -3.2 .218/.275/.298 .080.292 59 26% 5% 59 -1.1 .244/.300/.327.083.31851023%4%73-0.0
Trayce Thompson
2010 · A
19 42→47 35→65 51→50 30 .184/.236/.246 .062.349 37 45% 5% 28 -3.2 .183/.235/.319 .136.283 158 39% 6% 48 -1.9 .209/.298/.431.221.29131737%10%102+1.1
Balbino Fuenmayor
2009 · A
19 39→49 38→55 41→30 31 .184/.229/.260 .077.310 53 41% 4% 29 -3.2 .199/.228/.291 .092.309 82 37% 3% 37 -2.7 .274/.306/.446.172.31125120%4%109+1.6
Joey Curletta
2013 · A
19 40→49 36→55 48→45 36 .184/.244/.249 .065.310 35 39% 6% 33 -2.9 .215/.266/.301 .086.293 75 27% 6% 56 -1.3 .205/.270/.366.161.28721435%8%74-0.0
Jerar Encarnacion
2019 · A
21 37→45 40→55 46→45 31 .178/.222/.266 .088.301 85 42% 5% 27 -3.3 .202/.249/.313 .111.311 125 37% 5% 52 -1.6 .223/.287/.396.173.32726638%8%87+0.6
Leury García
2009 · A
18 40→50 36→45 53→60 34 .186/.227/.251 .064.305 214 38% 5% 25 -3.5 .208/.243/.265 .057.288 323 27% 4% 35 -2.8 .272/.310/.392.120.338122222%4%95+0.8
Steven Moya
2011 · A
19 37→44 39→60 46→50 33 .174/.229/.253 .079.311 74 44% 6% 27 -3.3 .184/.215/.299 .115.304 144 43% 4% 33 -2.9 .222/.248/.410.188.29626734%3%74-0.0
Mike McDade
2008 · A
19 40→50 37→50 48→30 40 .194/.244/.264 .069.270 44 29% 6% 36 -2.7 .200/.241/.301 .101.290 102 33% 5% 45 -2.1 .240/.281/.378.138.31617129%4%80+0.3
Rymer Liriano
2009 · A
18 38→48 42→45 46→55 29 .163/.226/.263 .100.359 109 54% 6% 30 -3.1 .202/.250/.309 .107.317 1117 38% 5% 51 -1.7 .241/.294/.367.126.331112729%6%82+0.5
Geulin Beltre
2010 · A
19 34→44 40 46→50 32 .175/.213/.267 .092.273 89 38% 4% 24 -3.5 .202/.242/.281 .079.284 610 30% 5% 40 -2.4 .211/.251/.283.072.28751127%4%40-1.6
Cristopher Cespedes
2017 · A
19 36 39→45 47→40 34 .178/.229/.260 .082.270 65 35% 4% 30 -3.1 .203/.252/.307 .104.282 86 30% 5% 51 -1.7 .204/.253/.325.121.28310430%5%54-0.4
Carlos Tocci
2015 · A
19 41→51 35→40 42→45 38 .196/.235/.251 .055.253 27 23% 3% 28 -3.2 .235/.274/.304 .069.298 38 21% 4% 59 -1.1 .255/.294/.325.070.3183820%4%70-0.3
Carlos Franco
2011 · A
19 33→43 38→45 46→45 39 .167/.231/.242 .075.255 65 36% 7% 26 -3.4 .186/.246/.254 .068.275 49 31% 7% 35 -2.8 .213/.270/.322.108.30512333%7%59-0.9
Yasiel Balaguert
2013 · A
20 39→42 38→45 44→40 34 .190/.225/.265 .074.287 64 35% 4% 27 -3.3 .200/.236/.286 .086.282 73 30% 4% 38 -2.6 .207/.244/.324.117.26414227%4%49-1.4
Juan Kelly
2013 · A
19 39→47 35→45 47→45 45 .186/.249/.247 .061.250 37 26% 7% 34 -2.8 .200/.274/.268 .068.255 48 21% 9% 51 -1.7 .215/.279/.345.130.29412329%7%71-0.2