Brayan JosephSS DSL Rojos
Age 20 S/R 5'10" / 145 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 2.1 · 2032
wRC+54
AVG/OBP/SLG.202 / .266 / .292
PA70
HR1
K%31
BB%7
MLB%0%
BAT: -3.6 runs (wOBA-derived runs vs avg)-4BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.8 runs (Positional adjustment)+1POSREP: +2.0 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
2.2peak
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+2.1$20M+$19M
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+1.3$14M+$8M
Totals $19M $111M +$93M

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 Rojos 140128 15300 10540 92 .117.181.141.322 .023.197 397 .156 -22 -19 +1 +0 +2 +4 -1.3
▸ 2026 Season
202620 MLB 7064 12201 5211 10 .188.257.266.523 .078.289 307 .256 54 -4 +0 +0 +1 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11% 121109 23412 10351 20 .211.283.321.604 .110.292 298 .280 73 -4 +0 +0 +1 +3 0.1
202822 MLB 28% 266238 53926 23743 51 .223.299.353.652 .130.293 289 .295 84 -5 +1 +0 +3 +8 0.6
202923 MLB 48% 370330 7513210 331004 71 .227.305.370.675 .142.294 279 .304 91 -4 +1 +0 +4 +10 1.2
203024 MLB 62% 441393 9216313 401185 92 .234.313.389.702 .155.294 279 .310 95 -2 +1 +0 +5 +12 1.6
203125 MLB 80% 484431 9917314 451285 102 .230.310.381.690 .151.295 269 .313 98 -1 +1 +0 +5 +14 1.9
203226 MLB 94% 509451 10518315 481355 102 .233.313.386.699 .153.296 279 .315 99 -1 +1 +0 +5 +14 2.1
203327 MLB 520459 10618315 501386 102 .231.315.381.696 .150.296 2710 .315 99 -1 +1 +0 +6 +15 2.1
203428 MLB 523461 10618315 511406 91 .230.315.380.694 .150.295 2710 .314 98 -1 +1 -1 +6 +15 2.0
203529 MLB 518458 10518315 501405 81 .229.312.380.692 .151.294 2710 .312 97 -2 +1 -1 +6 +15 1.8
203630 MLB 510450 10418315 501405 70 .231.315.384.699 .153.293 2710 .308 94 -3 +1 -2 +5 +14 1.6
203731 MLB 498442 9917314 481385 50 .224.307.371.678 .147.291 2810 .305 91 -5 +1 -3 +5 +14 1.3
203832 MLB 481426 9516313 471365 20 .223.308.366.674 .143.290 2810 .300 88 -7 +0 -4 +5 +14 0.9
203933 MLB 452401 8614311 441314 10 .214.298.347.645 .132.288 2910 .294 84 -8 +0 -4 +5 +13 0.5
204034 MLB 407361 7713210 391224 00 .213.297.343.641 .130.287 3010 .288 79 -10 +0 -5 +4 +12 0.1
204135 MLB 352313 641028 331093 00 .204.287.326.612 .121.284 319 .280 73 -11 +0 -6 +4 +10 -0.3
204236 MLB 294261 52826 28943 00 .199.284.314.598 .115.281 3210 .272 66 -11 +0 -6 +3 +8 -0.6
▸ Career Totals (MLE all levels + projections)
Career 69566176 136823241183 654195370 9514 .222.303.361.664 .140.291 289 .300 87 -99 +13 -31 +75 +197 15.8
/ 162G 650577 12822417 611827 91 .222.304.362.666 .140.291 289 .300 87 -9 +1 -3 +7 +18 1.5

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
202418 ROKDSL Rojos 140122 21500 16360 92 .172.268.213.481 .041.239 2611 .229 33 -11 +1 +4 -0.6

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
Brayan Joseph (OGILVIE) 20 .202/.266/.292 .090.289 11 31% 7% 54 -0.2
Adalberto Mondesi
2015 · A
20 39→49 40→60 54→65 34 .196/.228/.285 .089.279 714 32% 4% 34 -2.8 .205/.237/.323 .118.291 1124 32% 4% 49 -1.8 .248/.279/.427.179.328194930%4%92+0.9
Niko Goodrum
2013 · A
21 40→50 39→55 51→55 41 .191/.252/.280 .089.282 58 33% 7% 44 -2.1 .212/.279/.299 .087.310 516 30% 8% 61 -1.0 .231/.306/.406.174.310181630%9%97+1.0
Miguel Gómez
2013 · A
20 42→52 38→50 49→40 41 .201/.259/.282 .081.276 46 28% 6% 48 -1.9 .220/.266/.316 .096.291 75 25% 5% 59 -1.1 .271/.288/.403.133.30514116%2%87+0.6
Yonathan Perlaza
2019 · A
20 44→52 37→60 48→50 38 .209/.246/.281 .072.297 312 30% 5% 40 -2.4 .218/.268/.312 .094.317 87 32% 6% 59 -1.1 .235/.307/.417.182.303191228%9%100+1.6
Angel Martínez
2022 · A
20 42→48 40→50 49→50 44 .205/.261/.303 .099.264 710 25% 7% 54 -1.4 .223/.284/.349 .126.283 1210 24% 7% 76 +0.1 .227/.291/.359.132.280131023%7%80+0.3
Dalton Pompey
2013 · A
20 40→50 40→45 55 44 .197/.264/.289 .093.275 816 30% 8% 53 -1.5 .236/.299/.340 .104.314 724 25% 8% 79 +0.3 .253/.315/.362.109.32572823%8%88+0.8
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
Francisco Mejía
2016 · A
20 43→53 41→55 47→40 43 .211/.267/.303 .093.260 95 23% 6% 56 -1.3 .250/.290/.373 .123.301 134 21% 5% 85 +0.7 .258/.304/.423.165.30516121%5%101+0.9
Dylan Carlson
2019 · A
20 42→52 43→55 45→50 45 .206/.277/.315 .109.279 106 28% 8% 65 -0.7 .228/.297/.383 .155.293 1610 27% 8% 91 +1.1 .242/.327/.396.154.29614422%9%105+1.6
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
Shawn O'Malley
2008 · A
20 42→52 36→40 50→60 41 .198/.262/.265 .067.281 411 29% 6% 45 -2.1 .210/.283/.263 .053.291 123 26% 7% 53 -1.5 .259/.321/.357.098.32252320%7%89+0.6
Blake Perkins
2018 · A
21 42→52 40→50 51→55 43 .206/.261/.296 .090.274 814 27% 6% 52 -1.6 .202/.269/.286 .084.291 717 30% 8% 53 -1.5 .228/.311/.359.130.302132527%10%87+0.5
Henry Ramos
2012 · A
20 43→53 41→50 50 36 .211/.245/.308 .097.286 814 29% 4% 48 -1.9 .215/.257/.320 .105.287 99 27% 5% 56 -1.3 .251/.313/.394.142.31416724%7%96+0.9
Juan Brito
2022 · A
20 45→48 42→50 49→45 46 .222/.285/.324 .103.281 1012 24% 7% 70 -0.3 .230/.313/.368 .138.279 139 21% 10% 94 +1.3 .226/.311/.371.145.26615920%10%91+1.0
Willi Castro
2016 · A
19 42→52 38→50 50→55 37 .203/.246/.286 .083.279 610 29% 4% 43 -2.2 .226/.255/.320 .094.288 711 23% 3% 55 -1.4 .240/.326/.383.143.305132324%8%98+1.3
Danny Santana
2011 · A
20 42→52 39→60 55 37 .205/.240/.297 .092.277 615 28% 4% 43 -2.2 .226/.262/.322 .096.301 616 26% 4% 58 -1.2 .244/.288/.452.208.303272229%5%102+1.2
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
Rosell Herrera
2013 · A
20 40→50 37→45 48→55 42 .193/.244/.266 .073.258 59 26% 6% 37 -2.7 .230/.275/.318 .088.304 810 26% 6% 63 -0.8 .248/.303/.338.090.31552421%7%77+0.1
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
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