Brayden Smith2B Palm Beach Cardinals
Age 22 L/R 6'0" / 190 lbs A HR -7%K -4% Svc 0.0 · Ctrl thru 2036 peak 1.2 · 2030
wRC+†58
AVG/OBP/SLG.209 / .272 / .320
PA81
HR1
SB5
K%30
BB%7
MLB%0%
BAT: -3.8 runs (wOBA-derived runs vs avg)-4BATRUN: +0.6 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.3 runs (Positional adjustment)+0POSREP: +2.3 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
1.2peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Pre-Arb$0.9M+1.2$11M+$10M
2032Pre-Arb$0.9M+1.1$11M+$10M
2033Pre-Arb$1.0M+1.0$10M+$9M
2034Arb-1$2M+0.8$4M+$2M
2035Arb-2$2M+0.5$3M+$0.9M
2036Arb-3$1.0M+0.2$1M+$0.1M
Totals $7M $39M +$32M

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
202521 ADelmarva Shorebirds 6860 10211 7260 31 .167.254.283.537 .117.273 3810 .236 39 -5 +0 +0 +0 +2 -0.2
▸ 2026 Season (actual · ROS · total)
202622 APalm Beach Cardinals 4838 5101 10180 41 .132.312.237.549 .105.211 3821 .256 54 -2 +0 +0 +0 +1 -0.1
ROS22 MLBSTL 3330 6101 3100 10 .200.273.333.606 .133.285 309 .270 65 -1 +0 +0 +0 +1 -0.0
TOT22 MLBSTL 8168 11202 13280 51 .162.296.279.576 .118.237 3516 .262 58 -4 +1 +0 +0 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%STL 174154 33614 17461 41 .214.297.344.641 .130.276 2610 .291 81 -4 +0 +0 +1 +5 0.2
202824 MLB 26%STL 288256 561027 28742 72 .219.301.355.656 .137.278 2610 .300 87 -4 +1 +0 +1 +8 0.6
202925 MLB 43%STL 357316 7112210 35903 92 .225.308.370.678 .146.280 2510 .305 92 -3 +1 +0 +1 +10 0.9
203026 MLB 58%STL 403356 8014211 401024 102 .225.310.368.678 .143.281 2510 .308 94 -3 +1 +0 +1 +11 1.2
203127 MLB 76%STL 425375 8515312 431084 112 .227.313.379.691 .152.281 2510 .308 94 -3 +1 +0 +2 +12 1.2
203228 MLB 84%STL 436384 8615312 451114 102 .224.312.372.684 .148.281 2510 .307 93 -3 +1 -1 +2 +12 1.1
203329 MLB 90%STL 434382 8515212 451124 92 .223.311.366.677 .144.280 2610 .305 92 -4 +1 -1 +2 +12 1.0
203430 MLBSTL 430379 8415212 441124 81 .222.309.367.676 .145.278 2610 .302 89 -5 +1 -2 +2 +12 0.8
203531 MLBSTL 420371 8014211 431113 61 .216.302.353.655 .137.277 2610 .298 86 -6 +1 -3 +1 +12 0.5
203632 MLBSTL 403356 7613210 411093 40 .213.300.346.646 .132.275 2710 .293 83 -8 +1 -4 +1 +11 0.2
203733 MLBSTL 375331 701229 381043 20 .211.298.341.640 .130.274 2810 .288 79 -9 +0 -4 +1 +11 -0.1
203834 MLBSTL 331292 601027 34952 10 .205.293.325.618 .120.272 2910 .282 74 -10 +0 -5 +1 +9 -0.4
▸ Career Totals (MLE all levels + projections)
Career 45774042 88215426119 463121037 8516 .218.304.357.662 .139.279 2610 .299 87 -69 +11 -20 +16 +130 7.0
/ 162G 650574 12622417 661725 122 .220.305.361.666 .141.281 2610 .299 87 -10 +2 -3 +2 +18 1.0

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
202521 ADelmarva Shorebirds 6855 11211 12180 31 .200.343.327.671 .127.278 2618 .308 94 -0 +0 +2 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
Brayden Smith (OGILVIE) 22 .209/.272/.320 .112.290 11 30% 7% 64 -0.1
Bo Naylor
2022 · AA
22 34→43 46→55 53→50 39 .181/.240/.306 .126.262 1410 36% 7% 46 -2.0 .213/.300/.385 .172.281 2013 30% 10% 93 +1.3 .216/.308/.399.183.269221228%11%97+1.2
Parker Meadows
2022 · A
22 37→47 41→55 44→55 41 .185/.244/.280 .095.257 99 31% 7% 41 -2.3 .218/.280/.374 .156.279 1716 27% 7% 82 +0.5 .225/.292/.400.175.278202126%8%91+1.1
Daniel Schneemann
2019 · A
22 39→49 40→50 50 43 .189/.254/.283 .094.277 76 33% 8% 46 -2.0 .211/.272/.298 .087.290 78 28% 7% 57 -1.2 .226/.305/.377.151.297151328%10%89+0.7
Adrian Del Castillo
2023 · A
23 36→45 43→55 52→40 41 .184/.246/.294 .110.257 107 32% 7% 46 -2.0 .210/.280/.351 .141.289 154 31% 8% 76 +0.0 .218/.292/.382.164.29319131%9%86+0.5
Akil Baddoo
2021 · A
22 41→51 43→55 55 44 .198/.268/.314 .116.295 914 34% 8% 60 -1.0 .234/.308/.374 .140.313 1421 27% 10% 92 +1.2 .232/.314/.375.143.300152426%11%91+0.8
Ryan Schimpf
2011 · A
23 39 43→60 52→45 39 .192/.257/.314 .121.284 910 34% 6% 56 -1.3 .198/.273/.355 .157.273 177 32% 8% 74 -0.1 .201/.284/.419.218.23528228%9%91+0.9
James Outman
2019 · A
22 40→49 47→60 53→50 39 .203/.260/.335 .132.285 1511 34% 6% 63 -0.9 .196/.265/.334 .138.273 1613 33% 7% 65 -0.7 .223/.317/.418.195.310251434%10%107+2.0
Ashton McGee
2021 · A
22 41 39→50 50→40 41 .194/.258/.283 .089.288 55 33% 7% 48 -1.9 .206/.290/.322 .116.364 113 42% 10% 72 -0.2 .191/.284/.307.117.34612244%11%63-0.4
Travis Blankenhorn
2019 · A
22 40→43 45→55 51→50 38 .201/.261/.328 .127.288 117 33% 6% 61 -1.0 .215/.262/.357 .142.295 169 32% 5% 69 -0.4 .211/.283/.380.168.27621631%8%81+0.3
Iverson Leonardo
2023 · A
21 37 44→50 49→50 40 .188/.259/.305 .117.281 129 36% 7% 55 -1.4 .194/.278/.291 .097.346 78 42% 9% 59 -1.1 .146/.273/.221.075.3593452%12%39-0.5
Jace Jung
2023 · A
22 45→42 39→55 50→40 50 .212/.293/.305 .093.295 68 28% 10% 69 -0.4 .219/.303/.384 .165.289 204 29% 10% 94 +1.3 .212/.303/.382.169.27421329%11%91+1.0
Randy Florentino
2023 · A
23 36 41→50 47→45 40 .183/.244/.273 .090.273 97 35% 7% 40 -2.4 .196/.244/.284 .088.259 96 27% 6% 42 -2.3 .184/.224/.260.076.2317423%4%25-1.0
Drew Robinson
2014 · A
22 43→41 44→55 49→50 45 .206/.285/.324 .118.300 108 33% 9% 71 -0.3 .189/.264/.329 .140.281 1511 36% 9% 63 -0.8 .207/.288/.362.155.320171237%10%78+0.1
Carlos Guzman
2008 · A
22 40→48 43→50 53→50 44 .197/.278/.309 .112.288 119 33% 8% 64 -0.8 .221/.269/.333 .112.308 129 31% 6% 65 -0.7 .235/.287/.332.097.30810326%6%70-0.2
Jason Martin
2017 · A
21 43→50 45→60 48→50 45 .216/.275/.346 .130.280 1213 27% 7% 71 -0.3 .222/.270/.365 .143.297 1512 29% 6% 74 -0.1 .218/.285/.408.191.27126829%8%90+0.7
Enmanuel Valdez
2021 · A
22 39→46 42→60 46→45 40 .197/.250/.302 .104.268 109 30% 6% 50 -1.8 .217/.274/.390 .173.270 228 28% 7% 83 +0.6 .224/.290/.404.180.26824826%8%90+0.8
James McCann
2012 · A
22 41→51 42→50 49→45 39 .203/.260/.306 .103.288 97 32% 6% 55 -1.4 .223/.261/.310 .087.291 66 24% 4% 55 -1.4 .254/.315/.415.161.33120428%7%104+1.1
Isan Díaz
2018 · A
22 40 47→55 45 43 .203/.272/.335 .133.289 148 34% 8% 68 -0.5 .205/.274/.346 .141.290 168 33% 8% 72 -0.2 .204/.284/.367.164.26321530%9%75+0.0
Nicky Delmonico
2014 · A
22 39→47 49→55 48→45 46 .202/.276/.345 .143.261 178 29% 8% 72 -0.2 .215/.272/.359 .144.291 156 30% 7% 74 -0.1 .233/.301/.393.161.28418424%8%92+0.9
Grant Witherspoon
2019 · A
22 40→45 41→55 52→50 37 .196/.247/.291 .094.295 89 35% 6% 44 -2.1 .200/.250/.306 .106.278 1112 31% 6% 50 -1.7 .216/.275/.377.161.291211432%7%77+0.1