Juan RosasC FCL Blue Jays
Age 20 R/R 6'0" / 180 lbs ROK HR +12%BB +4% Svc 0.0 · Ctrl thru 2037 peak 2.5 · 2033
wRC+†54
AVG/OBP/SLG.201 / .266 / .293
PA74
HR1
K%31
BB%7
MLB%0%
BAT: -3.8 runs (wOBA-derived runs vs avg)-4BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.3 runs (Positional adjustment)+1POSREP: +2.1 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
2.5peak
2032

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+2.4$23M+$22M
2033Ext / FA-deal$1.0M+2.5$25M+$24M
2034Ext / FA-deal$1.0M+2.4$24M+$23M
2035Ext / FA-deal$4M+2.2$23M+$19M
2036Ext / FA-deal$6M+2.0$22M+$15M
2037Ext / FA-deal$7M+1.6$18M+$10M
Totals $21M $134M +$113M

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 Blue Jays 5552 5101 2231 00 .096.145.173.319 .077.143 424 .135 -38 -9 +0 +0 +1 +2 -0.6
202519 ROKFCL Blue Jays 8174 8200 5362 01 .108.185.135.320 .027.211 446 .148 -28 -12 -0 +0 +1 +2 -0.9
▸ 2026 Season
202620 MLBTOR 7468 14211 5231 10 .206.270.309.579 .103.289 317 .256 54 -4 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%TOR 162146 31513 13482 31 .212.286.322.608 .110.292 308 .280 73 -5 +0 +0 +3 +5 0.3
202822 MLB 28%TOR 296266 591027 25833 61 .222.296.353.649 .132.293 288 .295 84 -5 +1 +0 +5 +8 0.9
202923 MLB 48%TOR 390349 8014311 341074 82 .229.305.381.686 .152.294 279 .304 90 -4 +1 +0 +7 +11 1.5
203024 MLB 62%TOR 453404 9316313 411225 92 .230.309.381.690 .151.295 279 .309 95 -3 +1 +0 +8 +13 2.0
203125 MLB 80%TOR 490437 10017314 451315 102 .229.308.378.686 .149.295 279 .312 97 -1 +1 +0 +9 +14 2.3
203226 MLB 94%TOR 511452 10518315 481376 102 .232.314.385.699 .153.296 279 .314 99 -1 +1 +0 +9 +14 2.4
203327 MLBTOR 520459 10718316 501406 102 .233.317.390.706 .157.296 2710 .314 99 -1 +1 +0 +9 +15 2.5
203428 MLBTOR 520459 10518315 501416 91 .229.313.379.692 .150.296 2710 .313 98 -1 +1 -1 +9 +15 2.4
203529 MLBTOR 515454 10418315 501416 81 .229.314.381.695 .152.295 2710 .311 96 -2 +1 -1 +9 +15 2.2
203630 MLBTOR 506447 10117314 491405 70 .226.309.371.681 .145.293 2810 .308 94 -4 +1 -2 +9 +14 2.0
203731 MLBTOR 479425 9516313 461355 40 .224.307.367.674 .144.292 2810 .304 91 -5 +1 -3 +9 +14 1.6
203832 MLBTOR 447396 8815312 431285 20 .222.306.366.672 .144.290 2910 .299 87 -6 +0 -4 +8 +13 1.1
203933 MLBTOR 407361 7713210 391194 00 .213.297.343.641 .130.289 2910 .294 83 -8 +0 -4 +7 +12 0.7
204034 MLBTOR 354314 671129 341073 00 .213.296.347.643 .134.287 3010 .287 78 -9 +0 -5 +6 +10 0.3
204135 MLBTOR 296263 55927 28923 00 .209.293.338.631 .129.285 319 .280 72 -9 +0 -6 +5 +8 -0.1
204236 MLBTOR 238212 42715 22772 00 .198.280.311.591 .113.282 329 .271 66 -9 +0 -6 +4 +7 -0.5
▸ Career Totals (MLE all levels + projections)
Career 67946038 133622741181 629193074 8715 .221.302.362.665 .141.292 289 .299 87 -98 +11 -31 +121 +192 20.0
/ 162G 650578 12822417 601857 81 .221.302.362.664 .140.293 289 .299 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
202317 ROKDSL Blue Jays 5551 8201 3161 00 .157.218.255.473 .098.206 295 .218 25 -5 +0 +2 -0.3
202519 ROKFCL Blue Jays 8171 12300 8252 01 .169.272.211.483 .042.261 3110 .235 38 -6 -0 +2 -0.4

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
Juan Rosas (OGILVIE) 20 .201/.266/.293 .092.289 11 31% 7% 54 -0.2
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
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
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
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
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
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
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
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
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
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
Tucker Mitchell
2022 · A
21 43 39→50 51→45 39 .202/.262/.293 .090.301 67 33% 6% 52 -1.6 .193/.267/.305 .112.296 138 37% 7% 59 -1.1 .178/.253/.291.113.25315734%7%47-0.8
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
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
Emmanuel Rivera
2017 · A
21 40→50 37→55 49→45 43 .190/.250/.266 .075.266 310 28% 7% 40 -2.4 .234/.273/.341 .107.295 96 23% 4% 68 -0.5 .246/.303/.412.166.29319422%7%97+1.1
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
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
Brandon Barnes
2006 · A
20 38→48 38→55 47→50 37 .187/.241/.269 .081.271 67 32% 5% 37 -2.7 .181/.227/.256 .075.277 57 34% 5% 27 -3.3 .244/.289/.369.125.331121629%5%80+0.3
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
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
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