Eduardo CharlesSS DSL Brewers 2
Age 20 R/R 5'10" / 160 lbs ROK BB +10%HR +7% Svc 0.0 · Ctrl thru 2037 peak 2.1 · 2033
wRC+†52
AVG/OBP/SLG.200 / .265 / .288
PA51
HR1
K%31
BB%7
MLB%0%
BAT: -2.7 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.5 runs (Positional adjustment)+1POSREP: +1.4 runs (Replacement-level credit)+1REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
2.1peak
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+2.0$19M+$18M
2033Ext / FA-deal$1.0M+2.1$21M+$20M
2034Ext / FA-deal$1.0M+2.0$20M+$19M
2035Ext / FA-deal$4M+1.8$19M+$15M
2036Ext / FA-deal$5M+1.6$17M+$12M
2037Ext / FA-deal$6M+1.2$13M+$7M
Totals $18M $109M +$92M

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 Brewers 1 1917 2000 2100 11 .118.211.118.328 .000.286 5311 .154 -24 -3 -0 +0 +0 +1 -0.2
202418 ROKDSL Brewers 2 7363 7300 5324 103 .111.222.159.381 .048.219 447 .197 9 -8 +1 +0 +1 +2 -0.4
▸ 2026 Season
202620 MLBMIL 5146 10201 4161 10 .217.294.326.620 .109.290 318 .254 52 -3 +0 +0 +1 +1 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%MIL 117106 23412 9351 20 .217.284.330.615 .113.293 308 .278 71 -4 +0 +0 +1 +3 0.1
202822 MLB 28%MIL 262235 52926 22753 51 .221.296.353.649 .132.294 298 .293 83 -5 +1 +0 +3 +7 0.6
202923 MLB 48%MIL 366327 7513310 321014 71 .229.306.379.685 .150.295 289 .303 90 -4 +1 +0 +4 +10 1.1
203024 MLB 62%MIL 437389 8915312 401195 92 .229.309.375.684 .147.296 279 .308 94 -3 +1 +0 +5 +12 1.5
203125 MLB 80%MIL 479427 9917314 441305 102 .232.311.384.695 .152.296 279 .312 97 -2 +1 +0 +5 +14 1.9
203226 MLB 94%MIL 504445 10418315 481366 102 .234.317.389.705 .155.297 2710 .314 98 -1 +1 +0 +5 +14 2.0
203327 MLBMIL 515455 10518315 491406 102 .231.314.382.696 .152.297 2710 .314 98 -1 +1 +0 +6 +15 2.1
203428 MLBMIL 518457 10518315 501426 91 .230.314.381.695 .151.297 2710 .313 97 -2 +1 -1 +6 +15 2.0
203529 MLBMIL 513452 10418315 501426 81 .230.315.383.698 .153.296 2810 .311 96 -2 +1 -1 +5 +15 1.8
203630 MLBMIL 505445 10117314 491416 70 .227.312.373.685 .146.294 2810 .307 93 -4 +1 -2 +5 +14 1.6
203731 MLBMIL 493437 9716314 481405 40 .222.306.368.675 .146.293 2810 .304 91 -5 +1 -3 +5 +14 1.2
203832 MLBMIL 476422 9315313 461385 20 .220.304.363.667 .142.291 2910 .299 87 -7 +0 -4 +5 +13 0.9
203933 MLBMIL 447396 8514311 431325 00 .215.300.348.648 .134.290 3010 .293 83 -9 +0 -4 +5 +13 0.5
204034 MLBMIL 402357 7512210 381224 00 .210.293.339.632 .129.288 309 .287 78 -10 +0 -5 +4 +11 0.1
204135 MLBMIL 348309 631028 331093 00 .204.287.327.614 .123.286 319 .279 72 -11 +0 -6 +4 +10 -0.3
▸ Career Totals (MLE all levels + projections)
Career 65255785 128921940175 612186075 9516 .223.305.365.671 .142.294 299 .301 89 -83 +13 -25 +70 +185 16.3
/ 162G 650576 12822417 611857 92 .222.304.363.667 .141.294 289 .301 89 -8 +1 -3 +7 +18 1.6

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 Brewers 1 1916 3000 370 11 .188.316.188.503 .000.333 3716 .253 52 -1 -0 +1 -0.1
202418 ROKDSL Brewers 2 7359 12510 9224 103 .203.347.322.669 .119.316 3012 .311 96 -0 +1 +2 0.3

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
Eduardo Charles (OGILVIE) 20 .200/.265/.288 .088.290 11 31% 7% 52 -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
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
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
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
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
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
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
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
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
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
Michael Wing
2009 · A
20 45→53 39→55 50→40 39 .213/.258/.303 .090.291 56 28% 5% 52 -1.6 .230/.279/.345 .115.304 94 26% 6% 72 -0.2 .244/.285/.411.167.30419326%4%91+0.7
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
Christian Vázquez
2011 · A
20 43→53 36→50 47→45 40 .204/.251/.267 .063.281 45 28% 5% 40 -2.4 .221/.274/.341 .120.280 134 25% 6% 70 -0.3 .263/.314/.411.148.30118819%7%101+1.2
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