Angel BarbozaC DSL Rojos
Age 19 R/R 5'9" / 173 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 3.0 · 2033
wRC+54
AVG/OBP/SLG.203 / .267 / .290
PA57
HR1
K%30
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
2032Pre-Arb$0.9M+2.9$28M+$27M
2033Pre-Arb$1.0M+3.0$30M+$29M
2034Pre-Arb$1.0M+3.0$30M+$29M
2035Arb-1$6M+2.9$30M+$25M
2036Arb-2$9M+2.7$29M+$20M
2037Arb-3$12M+2.5$28M+$16M
Totals $29M $175M +$145M

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
202518 ROKDSL Rojos 5243 7100 663 20 .163.308.186.494 .023.189 1212 .238 40 -4 +0 +0 +1 +1 -0.1
▸ 2026 Season
202619 MLB 5752 11201 4171 10 .212.281.308.588 .096.291 307 .256 54 -3 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11% 147132 29513 12422 31 .220.295.341.635 .121.299 298 .285 77 -4 +0 +0 +3 +4 0.3
202821 MLB 28% 291260 591027 25814 61 .227.304.362.666 .135.300 289 .299 87 -4 +1 +0 +5 +8 1.0
202922 MLB 48% 398354 8214310 361075 92 .232.311.373.684 .141.300 279 .308 94 -3 +1 +0 +7 +11 1.7
203023 MLB 65% 471418 9816313 441246 112 .234.316.380.697 .146.301 269 .315 99 -0 +1 +0 +8 +13 2.3
203124 MLB 82% 518457 10918415 501356 122 .239.322.394.716 .155.301 2610 .319 103 +2 +2 +0 +9 +15 2.8
203225 MLB 520458 11018416 511356 122 .240.324.402.726 .162.302 2610 .323 105 +3 +2 +0 +9 +15 2.9
203326 MLB 520456 11018416 521357 122 .241.328.404.732 .162.303 2610 .324 106 +4 +2 +0 +9 +15 3.0
203427 MLB 520456 11018416 521357 122 .241.328.404.732 .162.303 2610 .324 106 +4 +2 +0 +9 +15 3.0
203528 MLB 520456 11018416 531366 112 .241.328.404.732 .162.302 2610 .323 106 +3 +1 -1 +9 +15 2.9
203629 MLB 520456 10718315 531386 101 .235.322.386.708 .151.301 2710 .321 104 +2 +2 -1 +9 +15 2.7
203730 MLB 520456 10617315 531406 91 .232.320.382.702 .149.300 2710 .318 102 +1 +1 -2 +9 +15 2.5
203831 MLB 504441 10217314 521376 60 .231.321.379.699 .147.299 2710 .314 99 -1 +1 -3 +9 +14 2.1
203932 MLB 487428 9716313 501356 40 .227.316.369.685 .143.297 2810 .310 95 -3 +1 -4 +9 +14 1.7
204033 MLB 445392 8814312 451275 20 .224.312.367.680 .143.296 2910 .304 91 -5 +0 -4 +8 +13 1.2
204134 MLB 389343 7512210 391144 10 .219.306.353.658 .134.294 2910 .298 86 -6 +0 -5 +7 +11 0.7
204235 MLB 330290 631028 331004 00 .217.306.348.654 .131.292 3010 .290 80 -7 +0 -6 +6 +9 0.2
204336 MLB 269238 49726 26843 00 .206.292.328.620 .122.289 3110 .281 73 -8 +0 -6 +5 +8 -0.2
204437 MLB 209185 36514 20682 00 .195.280.297.577 .103.285 3310 .271 66 -8 +0 -7 +4 +6 -0.6
▸ Career Totals (MLE all levels + projections)
Career 76876771 155825451210 756209695 12318 .230.316.376.692 .146.299 2710 .310 96 -37 +17 -38 +137 +218 30.3
/ 162G 650573 13121418 641778 102 .229.315.373.688 .145.297 2710 .310 96 -3 +1 -3 +12 +18 2.5

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
202518 ROKDSL Rojos 5239 8100 1043 20 .205.404.231.635 .026.229 819 .323 105 +0 +0 +1 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
Angel Barboza (OGILVIE) 19 .203/.267/.290 .087.291 11 30% 7% 54 -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
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
Pedro Severino
2012 · A
19 38→48 39→50 49→45 40 .187/.241/.272 .084.263 65 30% 6% 37 -2.6 .189/.233/.264 .075.239 53 22% 4% 31 -3.0 .246/.315/.384.137.30417324%8%95+0.7
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
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
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
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
Michael Chavis
2015 · A
19 44→47 38→60 48→45 39 .203/.258/.292 .090.318 48 36% 6% 50 -1.8 .193/.237/.327 .134.278 156 35% 4% 50 -1.7 .235/.292/.438.203.30429332%6%100+1.1
Michael Wing
2008 · A
19 44→53 37→55 51→40 37 .207/.253/.288 .081.305 46 32% 5% 46 -2.0 .220/.269/.322 .102.300 65 27% 6% 62 -0.9 .244/.285/.411.167.30419326%4%91+0.7
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
Jhonny Pereda
2014 · A
18 39→48 37→45 47→40 44 .190/.244/.262 .072.250 54 25% 6% 36 -2.7 .193/.250/.256 .063.231 43 17% 6% 37 -2.7 .276/.346/.381.105.3659025%9%105+0.9
José Fermín
2017 · A
18 43→51 38→45 48→55 44 .204/.260/.288 .084.278 48 27% 7% 50 -1.8 .202/.252/.277 .075.241 410 17% 5% 43 -2.2 .241/.336/.380.139.254142611%10%103+0.9
Gilberto Celestino
2018 · A
19 42→52 39→45 53→50 43 .202/.260/.288 .085.282 612 29% 7% 50 -1.8 .216/.267/.306 .090.280 711 24% 6% 57 -1.2 .239/.310/.323.084.31381424%9%75+0.0
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
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
Jackson Merrill
2022 · A
19 45→55 36→55 52→50 39 .211/.260/.286 .076.314 39 32% 6% 48 -1.9 .251/.293/.383 .132.306 1312 22% 5% 88 +0.9 .266/.310/.441.174.301191018%6%107+1.9
Eguy Rosario
2019 · A
19 42→49 39→55 48→55 40 .202/.255/.294 .092.284 614 30% 6% 49 -1.8 .217/.266/.330 .113.302 915 30% 6% 63 -0.8 .223/.285/.369.146.292152128%7%80+0.2