Elier GilC DSL White Sox
Age 20 R/R 5'11" / 187 lbs ROK BB +6%HR -6% Svc 0.0 · Ctrl thru 2037 peak 2.4 · 2033
wRC+†51
AVG/OBP/SLG.199 / .263 / .286
PA48
HR1
K%32
BB%7
MLB%0%
BAT: -2.6 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
2.4peak
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+2.3$22M+$21M
2033Ext / FA-deal$1.0M+2.4$24M+$23M
2034Ext / FA-deal$1.0M+2.3$23M+$22M
2035Ext / FA-deal$4M+2.1$22M+$18M
2036Ext / FA-deal$6M+1.8$19M+$13M
2037Ext / FA-deal$7M+1.5$17M+$10M
Totals $20M $127M +$107M

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
202418 ROKDSL White Sox 6052 7100 3303 00 .135.224.154.378 .019.292 505 .176 -7 -7 +0 +0 +1 +2 -0.5
▸ 2026 Season
202620 MLBCWS 4845 9201 3150 10 .200.250.311.561 .111.291 316 .252 51 -3 +0 +0 +1 +1 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%CWS 116105 23412 9351 20 .219.287.333.620 .114.293 308 .277 70 -4 +0 +0 +2 +3 0.2
202822 MLB 28%CWS 261234 52926 22753 51 .222.297.355.652 .132.295 298 .292 82 -5 +1 +0 +5 +7 0.7
202923 MLB 48%CWS 365326 7412310 321024 71 .227.304.374.678 .147.295 289 .301 88 -5 +1 +0 +7 +10 1.3
203024 MLB 62%CWS 436389 8915312 391205 82 .229.307.375.682 .147.296 289 .307 93 -3 +1 +0 +8 +12 1.8
203125 MLB 80%CWS 478426 9716314 441315 92 .228.307.378.685 .150.297 279 .310 96 -2 +1 +0 +9 +14 2.1
203226 MLBCWS 502444 10317315 471376 102 .232.314.385.699 .153.297 279 .312 97 -2 +1 +0 +9 +14 2.3
203327 MLBCWS 514454 10618415 491416 102 .233.316.390.706 .156.297 2710 .312 97 -2 +1 +0 +9 +15 2.4
203428 MLBCWS 516456 10518315 491436 91 .230.313.382.695 .151.297 289 .311 96 -2 +1 -1 +9 +15 2.3
203529 MLBCWS 511451 10317315 491436 81 .228.312.379.691 .151.296 2810 .309 95 -3 +1 -1 +9 +14 2.1
203630 MLBCWS 503445 10017314 481425 60 .225.307.371.678 .146.295 2810 .306 92 -4 +1 -2 +9 +14 1.8
203731 MLBCWS 476422 9416313 461375 40 .223.307.367.674 .145.293 2910 .302 89 -6 +1 -3 +8 +13 1.5
203832 MLBCWS 446395 8714312 431305 20 .220.305.362.667 .142.292 2910 .297 86 -7 +0 -4 +8 +13 1.1
203933 MLBCWS 405359 7713210 391214 00 .214.299.345.644 .131.290 3010 .292 82 -8 +0 -4 +7 +11 0.6
204034 MLBCWS 352313 651028 331083 00 .208.289.329.618 .121.288 319 .286 77 -9 +0 -5 +6 +10 0.2
204135 MLBCWS 294261 54827 28933 00 .207.291.333.624 .126.286 3210 .278 71 -10 +0 -6 +5 +8 -0.2
204236 MLBCWS 236210 41615 22782 00 .195.278.305.583 .110.283 339 .269 64 -10 +0 -6 +4 +7 -0.5
▸ Career Totals (MLE all levels + projections)
Career 65195787 128621341174 605188172 8112 .222.304.363.667 .141.295 299 .300 87 -92 +11 -31 +116 +185 19.3
/ 162G 650577 12821417 601887 81 .222.302.360.663 .139.296 299 .300 87 -9 +1 -3 +12 +18 1.9

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
202418 ROKDSL White Sox 6050 11101 5203 00 .220.328.300.628 .080.323 338 .287 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
Elier Gil (OGILVIE) 20 .199/.263/.286 .087.291 11 32% 7% 51 -0.1
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
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
Manuelysis Peralta
2007 · A
20 37 34→30 42→40 34 .174/.233/.224 .050.277 25 36% 5% 22 -3.7 .188/.253/.241 .053.276 24 31% 5% 36 -2.7 .189/.263/.222.033.2542124%6%38-0.9
Luis Paz
2015 · A
19 34 35→45 41→40 42 .168/.231/.223 .055.234 35 28% 7% 21 -3.7 .186/.234/.281 .095.270 85 32% 5% 37 -2.7 .184/.226/.314.130.26314335%5%40-1.1
Rafael Jimenez
2019 · A
19 35 39→40 48→30 32 .171/.218/.250 .080.296 83 43% 5% 22 -3.7 .179/.229/.250 .071.332 54 44% 6% 27 -3.3 .118/.170/.143.025.2530050%6%-27-1.4
Cristian Olivo
2018 · A
19 37 38→40 49→45 29 .176/.214/.257 .081.304 57 43% 4% 21 -3.7 .171/.208/.249 .078.335 58 48% 4% 17 -4.0 .088/.108/.144.056.2144760%2%-57-2.2
Hanser Ortiz
2016 · A
22 37 34→30 44→45 41 .178/.231/.230 .053.244 24 27% 6% 22 -3.7 .184/.249/.255 .071.237 47 23% 7% 37 -2.7 .152/.228/.220.068.1785917%8%20-1.3
Aristides Sanchez
2016 · A
19 38 35→30 45→40 34 .183/.225/.242 .059.273 36 33% 4% 22 -3.7 .180/.246/.244 .064.278 45 34% 6% 33 -2.9 .108/.208/.142.034.1714036%8%-8-1.2
Jose Rosario
2010 · A
19 35 35→30 47→45 44 .168/.235/.226 .059.247 27 31% 8% 24 -3.6 .190/.252/.253 .063.248 36 23% 7% 37 -2.6 .178/.239/.231.053.2243421%6%26-1.0
Joshua Franco
2014 · A
20 38 35→30 41→45 37 .178/.240/.236 .058.279 24 34% 5% 28 -3.2 .186/.242/.255 .069.295 45 36% 6% 33 -2.9 .163/.215/.220.057.2585437%5%10-1.4
Dalton Blumenfeld
2017 · A
20 43 37→30 50→40 30 .186/.233/.255 .069.363 46 48% 5% 29 -3.2 .180/.246/.265 .085.392 65 51% 7% 38 -2.6 .095/.185/.180.086.2438059%8%-9-1.2
Nicanor Alvarado
2015 · A
21 37 37→30 49→30 30 .169/.221/.241 .072.314 45 45% 5% 21 -3.7 .180/.242/.252 .072.334 35 44% 5% 33 -2.9 .124/.199/.176.052.2560047%3%-6-1.0
Leurys Vargas
2015 · A
18 35 39→30 47→50 32 .175/.217/.255 .079.279 77 39% 4% 23 -3.6 .176/.222/.237 .061.288 37 38% 5% 20 -3.8 .120/.159/.144.025.1930636%3%-32-1.8
Julio Cabrera
2017 · A
19 36 35→30 53→50 46 .169/.243/.232 .063.226 27 25% 7% 29 -3.2 .187/.249/.269 .082.255 57 27% 6% 40 -2.4 .151/.205/.246.095.2038729%5%14-0.8
Aderlin Santa
2016 · A
22 42 38→30 42→40 27 .167/.226/.240 .073.380 55 54% 6% 24 -3.6 .167/.226/.238 .071.363 55 52% 5% 23 -3.6 .085/.145/.126.041.2053257%4%-42-1.5