Carlos CarrasquelSS DSL Red Sox Red
Age 19 R/R 6'4" / 195 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 3.0 · 2033
wRC+55
AVG/OBP/SLG.203 / .268 / .293
PA66
HR1
K%30
BB%7
MLB%0%
BAT: -3.3 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.7 runs (Positional adjustment)+1POSREP: +1.9 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
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+2.8$27M+$26M
2033Ext / FA-deal$1.0M+3.0$30M+$29M
2034Ext / FA-deal$1.0M+3.0$30M+$29M
2035Ext / FA-deal$6M+2.9$30M+$24M
2036Ext / FA-deal$9M+2.7$29M+$20M
2037Ext / FA-deal$12M+2.4$27M+$15M
Totals $30M $173M +$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 Red Sox Red 127117 26210 5395 00 .222.283.256.540 .034.333 314 .240 42 -8 +0 +0 +1 +4 -0.3
▸ 2026 Season
202619 MLB 6660 12201 5201 10 .200.273.283.556 .083.290 308 .258 55 -3 +0 +0 +1 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11% 122110 24412 10351 21 .218.289.327.617 .109.298 298 .286 77 -3 +0 +0 +1 +3 0.2
202821 MLB 28% 272243 56927 24743 61 .230.307.370.678 .140.299 279 .302 90 -3 +1 +0 +3 +8 0.8
202922 MLB 48% 386343 8114310 351035 92 .236.316.382.698 .146.300 279 .311 96 -2 +1 +0 +4 +11 1.5
203023 MLB 65% 464411 9817314 441216 112 .238.321.397.718 .158.300 269 .318 102 +1 +1 +0 +5 +13 2.1
203124 MLB 82% 515454 10918316 501326 122 .240.324.399.722 .159.300 2610 .322 105 +3 +2 +0 +6 +15 2.5
203225 MLB 546480 11720417 541397 132 .244.329.408.737 .165.301 2510 .325 107 +4 +2 +0 +6 +15 2.8
203326 MLB 564495 12020418 571447 132 .242.329.408.737 .166.302 2610 .327 108 +5 +2 +0 +6 +16 3.0
203427 MLB 570500 12120418 581467 132 .242.329.406.735 .164.302 2610 .327 109 +5 +2 +0 +6 +16 3.0
203528 MLB 570499 12020418 591477 122 .240.329.405.734 .164.301 2610 .326 108 +5 +2 -1 +6 +16 2.9
203629 MLB 562492 11820417 581467 111 .240.329.400.729 .161.301 2610 .324 106 +4 +2 -1 +6 +16 2.7
203730 MLB 554485 11419317 571467 101 .235.324.392.716 .157.299 2610 .321 104 +2 +2 -2 +6 +16 2.4
203831 MLB 541473 11018316 561457 70 .233.323.385.708 .152.298 2710 .317 101 +0 +1 -3 +6 +15 2.1
203932 MLB 523458 10517315 541436 50 .229.319.378.696 .148.296 2710 .312 97 -2 +1 -4 +6 +15 1.7
204033 MLB 494434 9716313 511386 30 .224.314.364.678 .141.295 2810 .307 93 -4 +1 -4 +5 +14 1.2
204134 MLB 447394 8714311 451295 10 .221.309.355.664 .135.293 2910 .300 88 -6 +0 -5 +5 +13 0.7
204235 MLB 393346 741229 401174 00 .214.303.338.641 .124.291 3010 .293 82 -8 +0 -6 +4 +11 0.2
204336 MLB 333293 60927 331034 00 .205.294.321.615 .116.288 3110 .284 75 -9 +0 -6 +4 +9 -0.3
204437 MLB 269238 47725 26863 00 .197.285.307.591 .109.284 3210 .274 68 -10 +0 -7 +3 +8 -0.6
▸ Career Totals (MLE all levels + projections)
Career 83187325 169627854231 8212253104 12918 .232.318.379.697 .147.300 2710 .312 97 -28 +19 -38 +89 +236 28.3
/ 162G 650572 13322418 641768 101 .233.318.379.697 .147.302 2710 .312 97 -2 +2 -3 +7 +18 2.2

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 Red Sox Red 127113 36410 9265 00 .319.394.372.765 .053.414 207 .352 128 +4 +0 +4 0.8

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
Carlos Carrasquel (OGILVIE) 19 .203/.268/.293 .090.290 11 30% 7% 55 -0.1
Tim Beckham
2009 · A
19 42→52 38→55 49→50 38 .202/.248/.282 .080.290 57 31% 5% 43 -2.2 .219/.267/.307 .088.310 510 29% 5% 57 -1.2 .248/.301/.421.173.31922428%6%100+1.3
Lane Thomas
2015 · A
19 45→51 37→55 51→55 43 .210/.271/.289 .080.308 39 31% 8% 54 -1.4 .192/.258/.279 .087.311 612 37% 8% 47 -1.9 .248/.312/.427.179.308211325%7%107+2.0
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
Andres Regnault
2018 · A
19 39 38→55 47→45 39 .185/.251/.256 .071.289 66 36% 7% 39 -2.5 .226/.287/.352 .126.291 137 26% 6% 79 +0.3 .248/.309/.417.169.29019621%6%103+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
Alex Liddi
2008 · A
19 41→51 41→60 47→50 36 .200/.246/.304 .104.297 87 34% 5% 48 -1.9 .229/.277/.361 .132.323 128 31% 6% 76 +0.1 .241/.296/.424.182.33620533%6%99+1.7
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
Renato Núñez
2013 · A
19 44→51 43→60 48→30 38 .215/.262/.330 .115.285 95 27% 4% 61 -1.0 .213/.253/.351 .138.277 173 29% 4% 64 -0.8 .238/.308/.452.215.27831126%7%111+1.7
Agustín Ramírez
2021 · A
19 40→45 41→55 46→50 40 .199/.248/.293 .095.266 85 28% 5% 46 -2.0 .208/.268/.334 .126.284 138 30% 7% 66 -0.6 .230/.293/.405.176.264221622%7%92+1.1
Samad Taylor
2017 · A
19 45→53 38→50 50→65 42 .214/.267/.294 .079.292 59 27% 6% 53 -1.5 .194/.259/.286 .092.272 618 29% 7% 50 -1.8 .236/.312/.377.141.324164630%9%94+0.8
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
Davis Schneider
2018 · A
19 40→44 41→55 48→50 50 .198/.276/.300 .102.259 86 26% 9% 60 -1.0 .193/.268/.290 .097.299 87 35% 8% 54 -1.4 .213/.322/.409.196.27524930%12%106+1.6
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
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
Thairo Estrada
2016 · A
20 44→54 39→50 48→55 41 .211/.264/.302 .090.275 58 24% 5% 55 -1.4 .255/.297/.344 .089.303 89 18% 5% 79 +0.3 .270/.326/.420.150.314172119%5%108+1.8
Jamie Westbrook
2014 · A
19 45→52 39→55 50→45 43 .213/.267/.306 .093.280 46 25% 6% 56 -1.3 .230/.270/.337 .107.280 97 21% 4% 66 -0.6 .245/.316/.386.141.28815420%8%96+1.1
Travis d'Arnaud
2008 · A
19 41→51 41→60 47→45 38 .203/.244/.295 .091.254 108 24% 4% 44 -2.1 .210/.253/.324 .114.254 116 22% 4% 56 -1.3 .260/.320/.458.198.29127120%7%116+1.5
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
Vaughn Grissom
2021 · A
20 44→54 39→50 51→55 44 .214/.271/.302 .088.272 76 23% 6% 58 -1.2 .265/.329/.388 .123.318 1115 19% 7% 105 +2.1 .283/.348/.417.134.334121718%7%116+2.4
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